Amino acids also play a critical role commercially where they are manufactured and added to pharmaceuticals, dietary supplements, cosmetics, animal feeds, and industrial chemicals — an energy-intensive process leading to greenhouse gas emissions, resource consumption, and pollution.

A landmark new system developed at Georgia Tech could lead to an alternative: a commercially scalable, environmentally sustainable method for amino acid production that is carbon negative, using more carbon than it emits.

The breakthrough builds on a method that the team pioneered in 2024 and solves a key issue – increasing efficiency to an unprecedented 97% and reducing the bioprocess cost by over 40%. It’s the highest reported conversion of CO2 equivalents into amino acids using any synthetic biology system to date.

Published in the journal ACS Synthetic Biology, the study, “Cell-Free-Based Thermophilic Biocatalyst for the Synthesis of Amino Acids From One-Carbon Feedstocks,” was led by Bioengineering Ph.D. student Ray Westenberg and Professor Pamela Peralta-Yahya, who holds joint appointments in the School of Chemistry and Biochemistry and School of Chemical and Biomolecular Engineering. The team also included Shaafique Chowdhury (Ph.D. ChBE 25) and Kimberly Wennerholm (ChBE 23); alongside University of Washington collaborators Ryan Cardiff, then a Ph.D. student and now a Chain Reaction Innovations Fellow at Argonne National Laboratory, and Charles W. H. Matthaei Endowed Professor in Chemical Engineering James M. Carothers; in addition to Pacific Northwest National Laboratory Synthetic Biology Team Leader Alexander S. Beliaev.

"This work shifts the narrative from simply reducing carbon emissions to actually consuming them to create value,” says Peralta-Yahya. “We are taking low-cost carbon sources and building essential ingredients in a truly carbon-negative process that is efficient, effective, and scalable.”

Heat-Loving Organisms

The work builds on the cell-free technology the team used in their earlier study. “Previously, we discovered that a system that uses the machinery of cells, without using actual living cells, could be used to create amino acids from carbon dioxide,” Peralta-Yahya explains. “But to create a commercially viable system, we needed to increase the system’s efficiency and reduce the cost.”

The team discovered that bits of leftover cells were consuming starting materials, and — like a machine with unnecessary gears or parts — this limited the system’s efficiency. To optimize their “machine,” the team would need to remove the extra background machinery.

"Leftover cell parts were using key resources without helping produce the amino acids we were looking for,” says Peralta-Yahya. “We knew that heating the system could be one way to purify it because heat can denature these components.”

The challenge was in how to protect the essential system components from the high temperatures, she adds. “We wondered if introducing enzymes produced by a heat-loving bacterium, Moorella thermoacetica, might protect our system, while still allowing us to denature and remove that inefficient background machinery.”

The results were astounding: after introducing the enzymes, heating and “cleaning” the system, and letting it cool to room temperature, synthesis of the amino acids serine and glycine leaped to 97% yield — nearly three times that of the team’s previous system.

Scaling for Sustainability

To make the system viable for large-scale use, the team also needed to reduce costs. “One of the most costly components in this system is the cofactor tetrahydrofolate (THF),” Peralta-Yahya shares. “Reducing the amount of THF needed to start the process was one way to make the system more inexpensive and ultimately more commercially viable.”

By linking reaction steps so waste from one step fueled the next, the team devised a method to recycle THF within the system that reduces the amount of THF needed by five-fold — lowering bioprocessing costs by 42%.

“This decrease in cost and increase in yield is a critical step forward in creating a method with real potential for use in industry and manufacturing,” Peralta-Yahya says. “This system could pave the way for moving this carbon-negative technology out of the lab and onto the continuous, industrial scale."

Funding: The Advanced Research Project Agency-Energy (ARPA-E); U.S. Department of Energy; and the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program.

DOI: https://doi.org/10.1021/acssynbio.5c00352

Reliable energy is required to keep safe in cold winters and hot summers, making it a matter of national security. There are also vying economic policies to consider, political and financial incentives to navigate, and questions of social and economic inequality.

Experts in Georgia Tech’s Ivan Allen College of Liberal Arts examine the challenges we face with the U.S. energy transition, and work to help make it safe, fair, and effective for all.

• Challenge No. 1: Managing National Security — with Adam N. Stulberg, professor and chair of the Sam Nunn School of International Affairs.
• Challenge No. 2: Confronting Inequality — with Bijesh Mishra, a postdoctoral scholar in the Jimmy and Rosalynn Carter School of Public Policy.
• Challenge No. 3: Choosing the Right Economic Policies — with Bobby Harris, an assistant professor in the School of Economics.
• Challenge No. 4: Navigating Financial and Political Incentives — with Kate Pride Brown, a sociologist in the School of History and Sociology.

Read the article on the Ivan Allen College website.

In the International Disaster Reconnaissance (IDR) course, students now use Filio, a platform built by School of Computing Instruction Senior Lecturer Max Mahdi Roozbahani, to capture immersive 360° media, photos, and video that transform real disaster sites in India and Nepal into living digital classrooms. 

Offered by the School of Civil and Environmental Engineering and taught by IDR director and Regents’ Professor David Frost, the course pairs traditional fieldwork with Roozbahani’s expertise in immersive technology and data-driven learning, transforming on-the-ground observations into reusable, interactive educational resources. 

How Computing Can Capture Data 

Disasters are not only physical events; they are also information events, Roozbahani says. Effective response and long-term resilience depend on the ability to observe, record, and communicate critical data under pressure. Georgia Tech’s IDR course pairs structured on-campus preparation with international field experiences, enabling students to study the cascading effects of major disasters, including how local building practices, governance, and culture shape damage and recovery. 

“When students step into a disaster zone, they learn quickly that resilience is a systems problem: physical, social, and informational. Our job in computing is to help them capture and reason about that system responsibly,” Roozbahani said. 

Learning from the 2025 Himalayas Expedition 

During spring break last year, the cohort traveled along the Teesta River corridor in Sikkim, India. The region is shaped by steep terrain, fast-moving water, and critical infrastructure in narrow valleys. 

The visit followed the October 2023 glacial lake outburst flood from South Lhonak Lake, which destroyed the Teesta III hydropower dam and impacted downstream towns, including Dikchu and Rangpo. Field stops across India included Lachung, Chungthang, Dikchu, Rangpo, Gangtok, and New Delhi. 

Students explored both upstream and downstream consequences. 

Upstream, the team examined how steep terrain and river confinement amplify flood forces, creating cascading risks for infrastructure. Using Filio’s interactive 360° media, students captured conditions in Lachung and Chungthang, allowing viewers to explore the landscape through a 360° photo and 360° video that reveal how topography and river dynamics intensify disaster impacts. 

They studied community-scale effects downstream, including damaged buildings, disrupted access, and prolonged recovery timelines. 

Rangpo offered a glimpse of recovery in motion, with materials staged for rebuilding bridges and roads essential to commerce and emergency response.

The Surge That Shattered New Orleans

On Aug. 29, 2005, early reports claimed New Orleans had “dodged the bullet.” But offshore winds funneled water into the city’s canals, triggering multiple catastrophic levee failures. The Lower Ninth Ward, where most fatalities occurred, was devastated as many residents, misled by comparisons to Hurricane Camille, chose not to evacuate. 

“Katrina’s storm surge was exceptional,” says Hermann Fritz, a civil engineering professor at Georgia Tech. “In some areas, we saw water levels over 27 feet — that’s like a three-story building.”

While much attention focused on New Orleans’ levee failures, Fritz points out that the surge’s sheer height and energy would have overwhelmed even more robust defenses in some areas. “Katrina showed us that nature can produce forces beyond our engineering designs,” he says.

A Disaster of Inequality

The storm didn’t strike evenly; it exposed and deepened existing social and economic inequalities. “The disaster hit lower-income Black neighborhoods hardest,” says Allen Hyde, associate professor of history and sociology. He notes how years of segregation, disinvestment, and discriminatory housing policies left these communities uniquely vulnerable. Hyde continues, “Many homes were in low-lying, flood-prone areas, and residents often lacked access to reliable transportation, making evacuation difficult or impossible.”

Georgia’s Changing Landscape: Migration and Impact

Katrina displaced hundreds of thousands and claimed a staggering toll of more than 1,800 lives. Georgia quickly absorbed many evacuees, reshaping its demographics and infrastructure. “Hurricane Katrina led to one of the largest displacements of people due to a natural disaster,” says Shatakshee Dhongde, a professor of economics. “It changed the demographics of Georgia in measurable ways, from school enrollment to the labor market.”

The U.S. Census Bureau tracked this migration, noting spikes in Louisiana-born residents in metro Atlanta. Local school districts enrolled hundreds of new students almost overnight, while housing markets saw increased demand from families looking for permanent homes. The arrival of so many displaced residents didn’t just strain schools and housing — it reshaped the state’s economy. Dhongde notes that evacuees often brought new skills, business ideas, and networks. At the same time, the state and local governments faced the financial burden of expanding social services, healthcare, and housing assistance. 

Dhongde adds, “The impact of a disaster doesn’t stop at the water’s edge. It travels with people, and those effects can last for years.” While the influx strained services, it also enriched Georgia’s cultural and economic fabric.

Hyde notes, “Gentrification made many neighborhoods unaffordable for former residents,” and adds that many Black evacuees didn’t return to New Orleans due to economic barriers and post-Katrina gentrification. Cultural communities scattered across cities like Atlanta, Houston, and Baton Rouge.

Lessons the Levees Still Teach

For Fritz, Katrina remains a wake-up call for coastal preparedness.  “We can’t stop hurricanes,” he says, “but we can improve how we design and maintain our defenses, and how we evacuate people before it’s too late.” He warns that climate change, with its potential to intensify storms, makes those improvements even more urgent.

Dhongde sees a parallel need for social and economic planning. “Disaster preparedness isn’t just about sandbags and levees,” she says. “It’s also about ensuring the communities receiving evacuees have the resources and support systems to integrate them successfully.”

Finally, Hyde stresses the importance of engaging youth and communities in preparedness efforts. “Youth advocacy programs, like those we’re piloting in Georgia, empower young people in marginalized neighborhoods with knowledge and agency to build long-term resilience. Disaster planning must be a community effort, inclusive and forward-looking.”

The Department of Energy Office of Science recently released two reports through its Advanced Scientific Computing Research (ASCR) program. The reports were produced by workshops that brought together researchers from universities, national labs, government, and industry to set priorities for scientific computing.

Professor Felix Herrmann served on the organizing committee for the Workshop on Inverse Methods for Complex Systems under Uncertainty. Assistant Professor Peng Chen joined Herrmann as a workshop participant, contributing expertise in data science and machine learning.

Inverse methods work backward from outcomes to find their causes. Scientists use these tools to study complex systems, like designing new materials with targeted properties and using past wildfires to map vulnerable areas and behavior of future fires.

The ASCR report highlighted Herrmann’s work on seismic exploration and monitoring through digital twins. Founded on inverse methods, digital twins upgrade from static models to virtual systems that accurately mirror their physical counterparts. 

Digital twins integrate real-time data sources, including fluid flows, monitoring and control systems, risk assessments, and human decisions. These models also account for uncertainty and address data gaps or limitations. 

The DOE organized the workshop to support the growing role of inverse modeling. The group identified four priority research directions (PRDs) to guide future work. The PRDs are:

• PRD 1: Discovering, exploiting, and preserving structure
• PRD 2: Identifying and overcoming model limitations
• PRD 3: Integrating disparate multimodal and/or dynamic data
• PRD 4: Solving goal-oriented inverse problems for downstream tasks

“A digital twin is a system you can control, like to optimize operations or to minimize risk,” said Herrmann, who holds joint appointments in the Schools of Earth and Atmospheric Sciences, Electrical and Computer Engineering, and Computational Science and Engineering.

“Digital twins give you a principled way to consider uncertainties, which there are a lot in subsurface monitoring. If you inject carbon dioxide too fast, you will will increase the pressure and may fracture the rock. If you inject too slow, then the process may become too costly. Digital twins help us make balanced decisions under uncertainty.”

Supercomputers, algorithms, and artificial intelligence now power modern science. However, these tools consume enormous amounts of energy. This raises concerns about how to sustain computing and scientific research as we know them in the decades ahead.

Professors Rich Vuduc and Hyesoon Kim co-authored the report from the Workshop on Energy-Efficient Computing for Science. At the three-day ASCR workshop, participants identified five key research directions:

• PRD 1: Co-design energy-efficient hardware devices and architectures for important workloads
• PRD 2: Define the algorithmic foundations of energy-efficient scientific computing
• PRD 3: Reconceptualize software ecosystems for energy efficiency
• PRD 4: Enable energy-efficient data management for data centers, instruments, and users
• PRD 5: Develop integrated, scalable energy measurement and modeling capabilities for next-generation computing systems

“I’m cautiously optimistic about the future of energy-efficient computing. The ASCR report says, from a technological point of view, there are things we can do,” said Vuduc.

“The report lays out paths for how we might design better apps, hardware systems, and algorithms that will use less energy. This is recognition that we should think about how architectures and software work together to drive down energy usage for systems.”

As artificial intelligence (AI) drives explosive growth in data centers, communities across the U.S. are facing rising electricity costs, new industrial development, and mounting strain on an aging power grid.

At Georgia Tech, several faculty members are approaching these sustainability challenges from different but complementary angles: examining how data center policy affects local communities, modeling how AI-driven demand reshapes regional energy systems, and building tools that help the public understand the tradeoffs embedded in grid planning. Together, their work highlights how better data, thoughtful policy, and public engagement can guide more resilient and equitable decisions in an AI-powered future.

AI’s Hidden Footprint: How Data Centers Reshape Communities

Ahmed Saeed studies the infrastructure most people never see. An assistant professor in the School of Computer Science and a Brook Byers Institute for Sustainable Systems (BBISS) Faculty Fellow, Saeed focuses on how data centers — the backbone of modern AI — are built, operated, and regulated, and what their growth means for host communities.

“Data centers are the infrastructure for our digital life, so more of them are necessary to keep doing what we’re doing,” he said.

Data center energy consumption could double or triple by 2028, accounting for up to 12% of U.S. electricity use, according to a report by Lawrence Berkeley National Laboratory. U.S. spending on data center construction jumped nearly 70% between May 2023 and May 2024, according to the American Edge Project.

Georgia is an AI data center hub, ranked fourth globally, with $4.6 billion in AI-related venture capital invested across 368 deals, the American Edge Project reported. At a recent town hall in DeKalb County, Georgia, Saeed helped residents connect AI’s promise to its local consequences. Training large AI models can require tens of thousands of graphics processing units (GPUs) running for days or weeks, driving an unprecedented wave of data center construction. AI-focused chips, he noted, can consume 10 to 14 times more power than traditional processors.

That demand often shows up as pressure on local infrastructure. Communities are increasingly concerned about electricity and water use, grid upgrades, and who ultimately pays. In Virginia, Saeed pointed to a legal dispute in which consumer advocates warned that data centers could raise electricity bills by 5% in the short term and up to 50% over time, while utilities argued those investments were inevitable and could benefit customers in the long run.

Environmental concerns add another layer. Saeed cited controversies over water use and backup diesel generators in states, including Georgia and Tennessee, alongside a recent Environmental Protection Agency (EPA) ruling that tightened generator regulations. While diesel generators are clearly harmful, he cautioned that long-term, rigorous evidence linking data centers to regional health impacts remains limited.

Saeed’s research aims to reduce those impacts directly. By optimizing how workloads are scheduled across large server fleets, his team has demonstrated power savings of 4 – 12%, a meaningful gain if U.S. data centers approach projected levels of up to 12% of national electricity use by 2028.

For Saeed, data centers are akin to highways: essential to modern life, disruptive to nearby communities, and shaped by policy choices. The question, he argues, is not whether AI infrastructure should exist, but how transparently and fairly it is built.

Economist Probes the Energy Costs of the AI Boom

While headlines often frame AI as an energy crisis, Georgia Tech environmental and energy economist and BBISS Faculty Fellow Tony Harding is focused on measuring its real — and uneven — impacts. Harding, an assistant professor in the Jimmy and Rosalynn Carter School of Public Policy, uses economic modeling to examine how AI adoption affects energy use, emissions, and local communities.

In recent work published in Environmental Research Letters, Harding and his co-author analyzed how productivity gains from AI could influence national energy demand. Their findings suggest that, at a macro level, AI-related activity may increase annual U.S. energy use by about 0.03% and CO₂ emissions by roughly 0.02%.

“Those numbers are small in the context of the overall economy,” Harding said. “But the impacts are highly uneven.”

That unevenness is evident in where data centers are built. While Northern Virginia remains the country’s top data center hub, with 343 operational data centers, states like Georgia, which currently has 94 operational data centers, are rapidly attracting facilities due to reliable power and favorable tax policies. 

Harding’s latest research focuses on local effects, asking why data centers cluster in urban areas, how they influence housing markets, what happens to electricity prices, and whether they exacerbate water stress. Early evidence suggests large facilities can increase local electricity rates, contributing to public backlash and regulatory response. In Georgia, the Public Service Commission has begun requiring new, high power draw customers (like data centers) to cover more of the costs associated with grid expansion.

Harding’s goal is to give policymakers better evidence to design incentives and guardrails. “To manage these technologies responsibly,” he said, “we need a clear picture of their intended and unintended consequences.”

Gamifying a Strained and Aging Power Grid

Daniel Molzahn is tackling another side of the problem: how to modernize an aging power grid under growing demand. Electricity demand is expected to rise about 25% by 2030, driven by data centers, electric vehicles, and broadscale electrification. At the same time, much of the U.S. electricity grid is nearing the end of its lifespan, with many transformers being decades old.

To make these challenges tangible, Molzahn, an associate professor in the School of Electrical and Computer Engineering, developed a browser-based game with a group of students through Georgia Tech’s Vertically Integrated Projects program called Current Crisis. Players take on the role of a utility decision-maker, balancing reliability, wildfire risk, renewable integration, and affordability.

The game grew out of Molzahn’s National Science Foundation CAREER award and reflects his belief that complex systems are best understood experientially. Its initial focus is wildfire resilience, modeling how grid infrastructure can both spark and suffer damage from fires.

But resilience comes at a cost. Burying power lines, for example, reduces wildfire risk but dramatically increases expenses. Players must confront the same tradeoffs utilities face: improve reliability or keep rates low.

Molzahn hopes the game will help students and the public grapple with the realities of planning future power systems. “These choices aren’t abstract,” he said. “They shape affordability, resilience, and our path toward a cleaner grid.”

The project now involves nearly 40 students from across campus, supported by Sustainability NEXT funding and a collaboration with Jessica Roberts, former BBISS Faculty Fellow and director of the Technology-Integrated Learning Environments (TILES) Lab in the School of Interactive Computing.

“As a learning scientist, I look at how to engage people with science and scientific data and get people having conversations they might not otherwise have,” says Roberts, who hopes the seed grant helps the team determine first that they are going in the right direction and, second, how to broaden the impact.

One student, Stella Quinto Lima, a graduate research assistant in Human-Centered Computing, has made the game the focus of her doctoral thesis. Through the game, she wants players to notice their misconceptions about the power grid, energy use, and AI, and to use critical thinking to identify, question, and possibly undo those misconceptions.

 “I hope that we can really engage adults and help them see it’s not black and white. The game is not only about power grids, but how AI affects the grid, how it affects our lives, and how it will impact our future.”

The team plans to expand the game’s features, use it in outreach programs, and analyze player decisions as a source of data to study energy-system decision-making.

“We want to change the conversation about power and power grid stability, reliability, and sustainability, Roberts said, “and find a way to get this message to a larger public.”

What does it mean to design systems that endure even after major disruptions? This question framed the 2026 Brook Byers Institute for Sustainable Systems (BBISS) Sustainability Showcase, where conversations over two days spanned the Georgia coast, wildfire modeling, AI data centers, infrastructure, community engagement, and the joy of working for a more sustainable and resilient world. Across disciplines and scales, a unifying theme emerged: resilience is not a single solution. It is a systems-level challenge requiring integration across science and technology, policy, communities, and human experience.

From Coastlines to Communities

The showcase opened with a keynote from President Emeritus G. Wayne Clough on wildlife management and resiliency along Georgia’s coast. The conversation that followed between Clough and BBISS Executive Director Beril Toktay highlighted the interconnection between public policy, wilderness conservation, community leadership, and scientific research. The session highlighted not only the urgency of protecting fragile ecosystems, but also that resilience works best when it is community-focused and community-driven.

Subsequent panels continued this systemic perspective. Sessions on community engagement, biotechnology-derived, climate-resilient plants, the flood resilience of Georgia coastal communities, wildfire prediction and prevention, and infrastructure resilience analytics all emphasized that resilience depends on the synthesis of many disciplines.

Across sessions, researchers emphasized that infrastructure resilience must include governance frameworks informed by good science, community engagement based on trust, and sustained collaboration that seeks to constantly improve the science, policy, and stakeholder relationships. The researchers demonstrated that they understand their role to be greater than merely modeling risk, but as collaborators who translate research into practical solutions that communities can adopt, maintain, and trust.

AI Data Centers: A New Resilience Frontier

Day two shifted attention to data centers, which are emerging as a critical resilience frontier. As artificial intelligence systems scale rapidly, so does the infrastructure that powers them, as well as the growing realization that digital systems are physical systems. Conversations examined the feedback loops that play a significant role in determining environmental impacts, such as chip architecture, AI workloads, data center sustainability, appropriate AI usage, and who makes the decisions on data center infrastructure development. 

One of the most fascinating sessions came from Alexandria Smith, assistant professor in the School of Music at Georgia Tech. She presented an artistic yet algorithmic composition that sonified data from AI data centers. Through translating kilowatt-hour usage and interconnection data into immersive soundscapes, she reframed data centers not as static input-output machines, but as adaptive, living systems. Drawing inspiration from Physarum polycephalum, a slime mold without a brain or nervous system known for its innate problem-solving abilities, she invites the listener to imagine infrastructure that senses, adapts, and self-optimizes.

Campus as a Living Laboratory

In her session, Professor Jennifer Chirico, associate vice president of Sustainability, highlighted Georgia Tech’s 2024 Climate Action Plan, focusing on building energy efficiency, renewable integration, materials management, and mobility transitions. The plan frames the Georgia Tech campus as a test bed for resilience strategies — an ecosystem where research, operations, and policy intersect. Chirico highlighted several examples where the alignment between research and implementation was essential in moving projects from modeling to pilot projects to sustained institutional change.

Finding Joy in Climate Action

Rebecca Watts Hull, Matthew Realff, and Christie Stewart led an interactive discussion inspired by Ayana Elizabeth Johnson’s framework for accelerating long-term climate action. Participants were asked three simple questions: What are you good at? What work needs doing? What brings you joy? Sustainability and climate research are fields often defined by serious urgency, crisis narratives, and burnout. This session offered a personal framework for resilience where emotional sustainability, professional fulfillment, and joy matter just as much as the motivation to drive a mission ever forward.

Building a Shared Vision

The Sustainability Showcase concluded with a facilitated visioning session led by Kristin Janacek, associate director for Interdisciplinary Research Impact, and Beril Toktay. In small groups, leaders, researchers, and community members worked to define what resilience looks like for them.

After the conversations, several themes emerged:

• Resilience must move from research to practical and community-based solutions to sustained action.
• Networks create opportunity but require long-term stewardship to endure.
• Choosing the right metrics to measure resilience will galvanize efforts to strengthen it.
• Community capacity is at least as important as built infrastructure.

Over two days, it became clear that Georgia Tech is not approaching resilience as a narrow technical problem. It is approaching it as a systems challenge — one that spans coastlines, campuses, disciplines, data centers, the Appalachian Mountains, data models, the arts, and human relationships. Designing systems that endure requires more than innovation. It requires collaboration, stewardship, and a shared commitment to long-term impact. The conversations launched at this year’s BBISS Sustainability Showcase laid the foundation for continued coordination and ambitious action in the months ahead.

The Eshelby Mechanics Award was established in 2012 in memory of Professor John Douglas Eshelby to promote the field of mechanics, among young researchers. The award will be formally presented at the 2026 Applied Mechanics Division Awards Banquet during the ASME International Mechanical Engineering Congress and Exposition in November.

Athanasiou and his team advance the fundamental mechanics and physics of materials and translates these insights into systems-level design strategies that address global challenges in resource efficiency and sustainable development. His research integrates advanced experimental methods capable of capturing material behavior under realistic operational conditions, mechanics-based design principles, and tailored AI- and physics-informed modeling frameworks.

Together, these efforts enable the development of life-cycle-efficient, cost-effective materials and structures for applications ranging from sustainable packaging to aerospace systems and space construction. His recent work published in Proceedings of the National Academy of Sciences (PNAS) introduced a bioinspired framework to improve plastic recycling while addressing a foundational mechanics question: how can we build reliable structures from inherently variable materials?

Athanasiou is also the recipient of the 2024 NSF CAREER Award and the ASME Orr Early Career Award, and is a Climate Tech Fellow at the New York Climate Exchange.

The interactive dashboard compiles and visualizes data gathered by Matisoff, along with Program and Operations Manager Michael Morley, offering a comprehensive view of SAF production, feedstock availability, and policy trends.

EPIcenter Research Associate Yang You has designed the dashboard to translate complex datasets into policy-relevant insights for decision-makers. By organizing key metrics into interactive visuals, the dashboard helps stakeholders assess market readiness and identify regulatory actions that could accelerate SAF adoption.

Emphasizing the importance of data-driven insights, Matisoff said, “The Department of Energy has a Grand Challenge to produce 3 billion gallons a year of Sustainable Aviation Fuel by 2030, and 35 billion gallons a year by 2050. By compiling and visualizing SAF data, we can help policymakers and researchers understand progress towards these goals, where the key opportunities and bottlenecks are – and how to move forward effectively”. 

Why SAF Matters
While aviation only accounts for about 3% of global greenhouse gas emissions, it is a rapidly growing share, and decarbonizing this sector is considered one of the most challenging aspects of the energy transition. Produced from renewable feedstocks, sustainable aviation fuel offers a pathway to reduce lifecycle emissions from air travel without requiring major changes to aircraft or infrastructure. However, SAF production and deployment face hurdles related to cost, supply chain development, and policy support.

EPIcenter’s Director Laura Taylor highlighted the dashboard’s role in addressing these challenges:
“Sustainable aviation fuel is a cornerstone of decarbonizing air travel, but the market is complex and rapidly evolving. The dashboard provides clarity by organizing the relevant data in a way that’s accessible and actionable for decision-makers.”

“This tool is meant to bridge analysis and action,” said You. “By visualizing SAF production, capacity, and offtake dynamics, the dashboard allows policymakers and stakeholders to see where the market is moving, where gaps remain, and how targeted infrastructure investments or supportive policies could unlock scale.”

The EPIcenter SAF Dashboard is intended as a resource for industry leaders, policymakers, and researchers working to accelerate SAF adoption. By providing transparent, data-driven insights, Georgia Tech aims to support informed decisions that advance innovation and sustainability in aviation.

To explore the dashboard and learn more about Georgia Tech’s work on sustainable aviation fuel, visit EPIcenter’s SAF page. 

 “What is happening within the field is revolutionary,” says School of Earth and Atmospheric Sciences Associate Chair and Professor Annalisa Bracco, adding that because many climate-related processes — from ocean currents to melting glaciers and weather patterns — can be described with physical equations, these advancements have the potential to help us understand and predict climate in critically important ways. 

Bracco is the lead author of a new review paper providing a comprehensive look at the intersection of AI and climate physics.

The result of an international collaboration between Georgia Tech’s Bracco, Julien Brajard (Nansen Environmental and Remote Sensing Center), Henk A. Dijkstra (Utrecht University), Pedram Hassanzadeh (University of Chicago), Christian Lessig (European Centre for Medium-Range Weather Forecasts), and Claire Monteleoni (University of Colorado Boulder), the paper, ‘Machine learning for the physics of climate,’ was recently published in Nature Reviews Physics. 

“One of our team’s goals was to help people think deeply on how climate science and AI intersect,” Bracco shares. “Machine learning is allowing us to study the physics of climate in a way that was previously impossible. Coupled with increasing amounts of data and observations, we can now investigate climate at scales and resolutions we’ve never been able to before.”

Connecting hidden dots

The team showed that ML is driving change in three key areas: accounting for missing observational data, creating more robust climate models, and enhancing predictions, especially in weather forecasting. However, the research also underscores the limits of AI — and how researchers can work to fill those gaps.

“Machine learning has been fantastic in allowing us to expand the time and the spatial scales for which we have measurements,” says Bracco, explaining that ML could help fill in missing data points — creating a more robust record for researchers to reference. However, like patching a hole in a shirt, this works best when the rest of the material is intact.

“Machine learning can extrapolate from past conditions when observations are abundant, but it can’t yet predict future trends or collect the data we need,” Bracco adds. “To keep advancing, we need scientists who can determine what data we need, collect that data, and solve problems.”

Modeling climate, predicting weather

Machine learning is often used when improving climate models that can simulate changing systems like our atmosphere, oceans, land, biochemistry, and ice. “These models are limited because of our computing power, and are run on a three-dimensional grid,” Bracco explains: below the grid resolution, researchers need to approximate complex physics with simpler equations that computers can solve quickly, a process called ‘parameterization’.

Machine learning is changing that, offering new ways to improve parameterizations, she says. “We can run a model at extremely high resolutions for a short time, so that we don’t need to parameterize as many physical processes — using machine learning to derive the equations that best approximate what is happening at small scales,” she explains. “Then we can use those equations in a coarser model that we can run for hundreds of years.”

While a full climate model based solely on machine learning may remain out of reach, the team found that ML is advancing our ability to accurately predict weather systems and some climate phenomena like El Niño. 

Previously, weather prediction was based on knowing the starting conditions — like temperature, humidity, and barometric pressure — and running a model based on physics equations to predict what might happen next. Now, machine learning is giving researchers the opportunity to learn from the past. “We can use information on what has happened when there were similar starting conditions in previous situations to predict the future without solving the underlying governing equations,” Bracco says. “And all while using orders-of-magnitude less computing resources.”

The human connection

Bracco emphasizes that while AI and ML play a critical role in accelerating research, humans are at the core of progress. “I think the in-person collaboration that led to this paper is, in itself, a testament to the importance of human interaction,” she says, recalling that the research was the result of a workshop organized at the Kavli Institute for Theoretical Physics — one of the team’s first in-person discussions after the Covid-19 pandemic.

“Machine learning is a fantastic tool — but it's not the solution to everything,” she adds. “There is also a real need for human researchers collecting high-quality data, and for interdisciplinary collaboration across fields. I see this as a big challenge, but a great opportunity for computer scientists and physicists, mathematicians, biologists, and chemists to work together.”

Funding: National Science Foundation, European Research Council, Office of Naval Research, US Department of Energy, European Space Agency, Choose France Chair in AI.

DOI: https://doi.org/10.1038/s42254-024-00776-3

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The assessment, funded by the city’s Tree Recompense Fund, uses advanced remote sensing tools such as WorldView-2 satellite data and a random forest classification model to categorize land into three land cover types. These include tree canopy, non-tree vegetation (grass, shrubs, and low lying vegetation) and non-vegetation (water, pervious surface). The methodology delivers a detailed spatial picture of land cover across the city.

“This is simply a tool in their planning arsenal,” said Anthony Giarrusso, who has led every canopy study since 2008. “Before they did any of this work in 2008, everything was anecdotal. It was reactionary.”

The new study is not advocacy — it’s information. Giarrusso emphasized that while researchers stay neutral in the politics of urban growth and conservation, their work equips city leaders with science-based knowledge to make more effective zoning and planning decisions.

In addition to mapping existing conditions, the Georgia Tech team developed the Potential Planting Index (PPI), a scalable tool that identifies where tree planting is physically possible based on current land cover. The tool quantifies the difference between tree canopy and non-tree vegetation, indicating zones with restoration potential.

Another key insight is the challenge of interpreting canopy change without understanding land use patterns. “It gives you a false sense of stability if you don’t understand the underlying land use,” said Giarrusso. “You might see canopy regrowth on paper, but that land could be cleared again tomorrow.” He explained that this false signal is particularly common in stalled development sites: “We saw a lot of properties where trees had regrown after initial clearing, but it was temporary and monoculture, low quality canopy. Several of those areas were cleared again for construction later.”

Giarrusso pointed to these “loss-gain-loss” cycles as one of the more misleading aspects of tree canopy analysis without strong land use context. “Some of them were pipe farms — land cleared for development with infrastructure like water and sewer lines installed, but then construction never happened. So trees grow back, and you get a canopy gain that doesn’t last and is nowhere near the quality of the trees originally cleared.”

He stressed that policymakers need to consider the permanence of canopy when using the data. “If it’s just going to be cleared again in two years, it’s not really a gain. That’s why long-term tracking and land use analysis together are so important.”

The city has incorporated these tools into broader planning efforts, including zoning reform and tree ordinance revisions. The research supports recommendations such as restricting full lot clearing in certain zoning categories and adjusting setback or lot coverage limits to better preserve existing canopy.

Giarrusso underscored the urgency of protecting larger, intact forested tracts. “If you can see it from space and it’s still forest — save it,” he said. “Once it’s cleared, you don’t get it back.”

They could burn low-sulfur fossil fuels, like marine gas oil, or install cleaning systems to remove sulfur from the exhaust gas produced by burning heavy fuel oil. Biofuels with lower sulfur content offer another alternative, though their limited availability makes them a less feasible option.

While installing exhaust gas cleaning systems, known as scrubbers, is the most feasible and cost-effective option, there has been a great deal of uncertainty among firms, policymakers, and scientists as to how “green” these scrubbers are.

Through a novel lifecycle assessment, researchers from MIT, Georgia Tech, and elsewhere have now found that burning heavy fuel oil with scrubbers in the open ocean can match or surpass using low-sulfur fuels, when a wide variety of environmental factors is considered.

The scientists combined data on the production and operation of scrubbers and fuels with emissions measurements taken onboard an oceangoing cargo ship.

They found that, when the entire supply chain is considered, burning heavy fuel oil with scrubbers was the least harmful option in terms of nearly all 10 environmental impact factors they studied, such as greenhouse gas emissions, terrestrial acidification, and ozone formation.

“In our collaboration with Oldendorff Carriers to broadly explore reducing the environmental impact of shipping, this study of scrubbers turned out to be an unexpectedly deep and important transitional issue,” says Neil Gershenfeld, an MIT professor, director of the Center for Bits and Atoms (CBA), and senior author of the study.

“Claims about environmental hazards and policies to mitigate them should be backed by science. You need to see the data, be objective, and design studies that take into account the full picture to be able to compare different options from an apples-to-apples perspective,” adds lead author Patricia Stathatou, an assistant professor at Georgia Tech's School of Chemical and Biomolecular Engineering, who began this study as a postdoc in the CBA.

Stathatou is joined on the paper by Michael Triantafyllou and others at the National Technical University of Athens in Greece and the maritime shipping firm Oldendorff Carriers. The research appears today in Environmental Science and Technology.

Slashing sulfur emissions

Heavy fuel oil, traditionally burned by bulk carriers that make up about 30 percent of the global maritime fleet, usually has a sulfur content around 2 to 3 percent. This is far higher than the International Maritime Organization’s 2020 cap of 0.5 percent in most areas of the ocean and 0.1 percent in areas near population centers or environmentally sensitive regions.

Sulfur oxide emissions contribute to air pollution and acid rain, and can damage the human respiratory system.

In 2018, fewer than 1,000 vessels employed scrubbers. After the cap went into place, higher prices of low-sulfur fossil fuels and limited availability of alternative fuels led many firms to install scrubbers so they could keep burning heavy fuel oil.

Today, more than 5,800 vessels utilize scrubbers, the majority of which are wet, open-loop scrubbers.

“Scrubbers are a very mature technology. They have traditionally been used for decades in land-based applications like power plants to remove pollutants,” Stathatou says.

A wet, open-loop marine scrubber is a huge, metal, vertical tank installed in a ship’s exhaust stack, above the engines. Inside, seawater drawn from the ocean is sprayed through a series of nozzles downward to wash the hot exhaust gases as they exit the engines.

The seawater interacts with sulfur dioxide in the exhaust, converting it to sulfates — water-soluble, environmentally benign compounds that naturally occur in seawater. The washwater is released back into the ocean, while the cleaned exhaust escapes to the atmosphere with little to no sulfur dioxide emissions.

But the acidic washwater can contain other combustion byproducts like heavy metals, so scientists wondered if scrubbers were comparable, from a holistic environmental point of view, to burning low-sulfur fuels.

Several studies explored toxicity of washwater and fuel system pollution, but none painted a full picture.

The researchers set out to fill that scientific gap.

A “well-to-wake” analysis

The team conducted a lifecycle assessment using a global environmental database on production and transport of fossil fuels, such as heavy fuel oil, marine gas oil, and very-low sulfur fuel oil. Considering the entire lifecycle of each fuel is key, since producing low-sulfur fuel requires extra processing steps in the refinery, causing additional emissions of greenhouse gases and particulate matter.

“If we just look at everything that happens before the fuel is bunkered onboard the vessel, heavy fuel oil is significantly more low-impact, environmentally, than low-sulfur fuels,” she says.

The researchers also collaborated with a scrubber manufacturer to obtain detailed information on all materials, production processes, and transportation steps involved in marine scrubber fabrication and installation.

“If you consider that the scrubber has a lifetime of about 20 years, the environmental impacts of producing the scrubber over its lifetime are negligible compared to producing heavy fuel oil,” she adds.

For the final piece, Stathatou spent a week onboard a bulk carrier vessel in China to measure emissions and gather seawater and washwater samples. The ship burned heavy fuel oil with a scrubber and low-sulfur fuels under similar ocean conditions and engine settings.

Collecting these onboard data was the most challenging part of the study.

“All the safety gear, combined with the heat and the noise from the engines on a moving ship, was very overwhelming,” she says.

Their results showed that scrubbers reduce sulfur dioxide emissions by 97 percent, putting heavy fuel oil on par with low-sulfur fuels according to that measure. The researchers saw similar trends for emissions of other pollutants like carbon monoxide and nitrous oxide.

In addition, they tested washwater samples for more than 60 chemical parameters, including nitrogen, phosphorus, polycyclic aromatic hydrocarbons, and 23 metals.

The concentrations of chemicals regulated by the IMO were far below the organization’s requirements. For unregulated chemicals, the researchers compared the concentrations to the strictest limits for industrial effluents from the U.S. Environmental Protection Agency and European Union.

Most chemical concentrations were at least an order of magnitude below these requirements.

In addition, since washwater is diluted thousands of times as it is dispersed by a moving vessel, the concentrations of such chemicals would be even lower in the open ocean.

These findings suggest that the use of scrubbers with heavy fuel oil can be considered as equal to or more environmentally friendly than low-sulfur fuels across many of the impact categories the researchers studied.

“This study demonstrates the scientific complexity of the waste stream of scrubbers. Having finally conducted a multiyear, comprehensive, and peer-reviewed study, commonly held fears and assumptions are now put to rest,” says Scott Bergeron, managing director at Oldendorff Carriers and co-author of the study.

“This first-of-its-kind study on a well-to-wake basis provides very valuable input to ongoing discussion at the IMO,” adds Thomas Klenum, executive vice president of innovation and regulatory affairs at the Liberian Registry, emphasizing the need “for regulatory decisions to be made based on scientific studies providing factual data and conclusions.”

Ultimately, this study shows the importance of incorporating lifecycle assessments into future environmental impact reduction policies, Stathatou says.

“There is all this discussion about switching to alternative fuels in the future, but how green are these fuels? We must do our due diligence to compare them equally with existing solutions to see the costs and benefits,” she adds.

This study was supported, in part, by Oldendorff Carriers.

- Written by Adam Zewe, MIT News Office

Freeman, who grew up in Seattle, mainly studies the ecology of tropical birds — but the discovery of Waterhouse’s paper made him curious about research closer to home. The results were surprising: over the last three decades, most of the bird populations in the region were stable and had been increasing in abundance at higher elevations.

The study, “Pacific Northwest birds have shifted their abundances upslope in response to 30 years of warming temperatures” was published in the journal Ecology this fall. In addition to lead author Freeman, the team also included Harold Eyster (The Nature Conservancy), Julian Heavyside (University of British Columbia), Daniel Yip (Canadian Wildlife Service), Monica Mather (British Columbia Ministry of Water, Lands and Resource Stewardship), and Waterhouse (British Columbia Ministry of Forests, Coast Area Research).

“It is great news that most birds in the region are resilient, and by doing this work, we can focus on the species that do need help, like the Canada Jay, which is struggling in this region,” Freeman says. “Studies like this help us focus resources and effort.”

Songbirds and snow

Conducting the fieldwork was a detective game, Freeman says. Each day, he would wake up at four in the morning to locate and visit the research areas — often navigating trails, open forest, and rough terrain on foot.

This area of the Pacific Northwest is punctuated with old-growth stands of trees — sections of forest that have never been logged or altered. “These areas feel like islands,” Freeman shares. “They feel ancient and untouched, but even in pristine habitats, birds are still responding to climate change.”

Most of the work was conducted during the birds’ breeding season, from late May into June. This is when the birds are most vocal, which is ideal for surveys, Freeman says. The downside? Even in June, there is often snow in the mountains. “I was out at dawn, hiking through snow in the freezing cold, wondering why I didn’t stay in bed,” he recalls. “But then I’d hear birds singing all around me and realize it was all worth it.”

Upward expansion — and resilience

By comparing the two “snapshots,” the team showed that while temperatures have increased over the last 30 years, most bird populations in the region haven’t declined — but they have become more abundant at higher elevations. “It’s encouraging,” Freeman says. “Thirty years of warming has led to changes, but for the most part, these bird populations are mostly stable or improving.”

One reason for this resilience could be the stability that old growth forests provide, and Freeman suggests that conserving wide swaths of mountain habitat might help birds thrive as they continue to adapt, while still supporting populations at lower elevations. The study also helps identify which bird species need additional support, like the Canada Jay — a gray and white bird known for following hikers in pursuit of dropped snacks.

It’s just one piece of Freeman’s larger research goal — he aims to do this type of snapshot research in many different places to identify general patterns, especially differences in temperate versus tropical environments.

“In the tropics, most bird species are vulnerable, with only a few resilient species. In the Pacific Northwest, we saw the opposite,” he says. “A pattern is emerging: temperate zones show more resilience, tropics more vulnerability.” 

Freeman is also conducting research with a group of students in Northern Georgia. “We predict that these Appalachian birds will be resilient as well,” he says, “but we need to study and understand what’s happening in nature — not just make predictions.”

DOI: https://doi.org/10.1002/ecy.70193

Funding: Packard Foundation

As climate change continues to reshape the intensity and behavior of hurricanes, meteorologists and researchers are examining whether the Saffir-Simpson Hurricane Wind Scale, a decades-old classification system, still adequately communicates the full scope of hurricane hazards. While the scale remains a widely recognized tool, experts like Zachary Handlos, director of Atmospheric and Oceanic Sciences at Georgia Tech, suggest that a complementary system could enhance public understanding of the broader risks hurricanes pose. 

Study co-author Joel E. Kostka is the Tom and Marie Patton Distinguished Professor and associate chair for Research in the School of Biological Sciences with a joint appointment in the School of Earth and Atmospheric Sciences. He also serves as faculty director of Georgia Tech for Georgia's Tomorrow. 

The Kostka Lab works in peatland ecosystems to quantify changes in microbial communities brought on by climate change drivers. In particular, next generation gene sequencing and omics approaches are employed to investigate the microbial groups that mediate organic matter degradation and the release of greenhouse gases.

Peatlands make up just 3% of the earth’s land surface but store more than 30% of the world’s soil carbon, preserving organic matter and sequestering its carbon for tens of thousands of years. A new study sounds the alarm that an extreme drought event could quadruple peatland carbon loss in a warming climate. 

In the study, published October 23 in Science, researchers find that, under conditions that mimic a future climate (with warmer temperatures and elevated carbon dioxide), extreme drought dramatically increases the release of carbon in peatlands by nearly three times. This means that droughts in future climate conditions could turn a valuable carbon sink into a carbon source, erasing between 90 and 250 years of carbon stores in a matter of months.

“As temperatures increase, drought events become more frequent and severe,  making peatlands more vulnerable than before,” said Yiqi Luo, senior author and the Liberty Hyde Bailey Professor in the School of Integrative Plant Science’s Soil and Crop Sciences Section, in the College of Agriculture and Life Sciences (CALS) at Cornell University. “We add new evidence to show that with peatlands, the stakes are high. We observed that these extreme drought events can wipe out hundreds of years of accumulated carbon, so this has a huge implication.”

“To me, this study is striking in that it shows that around 10 to 100 years of carbon uptake by one of the most important global soil carbon stores can be erased by just two months of extreme drought,” adds Joel Kostka, Tom and Marie Patton Distinguished Professor in Biological Sciences at Georgia Tech.

It was already well-established that drought reduces ecosystem productivity and increases carbon release in peatlands, but this study is the first to examine how that carbon loss is exacerbated as the planet warms and more carbon dioxide enters the atmosphere. The Intergovernmental Panel on Climate Change estimates extreme drought will become 1.7 to 7.2 times more likely in the near future. 

Read the full story in the Cornell newsroom. 

###

Other co-authors include Cornell postdoctoral researchers Jian Zhou and Ning Wei; senior research associate Lifen Jiang; and researchers from Georgia Institute of Technology, Florida State University, the U.S. Department of Agriculture (USDA), ETH Zurich, Northern Arizona University, the Australian National University, the University of Western Ontario and Duke University.

Funding for the study came in part from the National Science Foundation, USDA, the New York State Department of Environmental Conservation and the New York State Department of Agriculture and Markets.

Awarded annually to just 20 individuals by the David and Lucile Packard Foundation, Packard Fellowships for Science and Engineering support researchers pursuing cutting-edge research and ambitious goals. “These visionary Packard Fellows are pushing the boundaries of knowledge, and their bold ideas will become tomorrow’s real-world solutions,” says Nancy Lindborg, president and CEO of the Packard Foundation in a recent press release.

The flexible funding allows researchers to maximize their creativity and ingenuity. Stroud will spend the next five years transforming Lizard Island into the world’s premier evolutionary observatory, merging groundbreaking technology with long-term field research.

On Lizard Island, that means equipping every lizard with an ultra-lightweight sensor “backpack.” Although the sensors weigh just six-hundredths of a gram each — the same as two grains of rice — when combined with innovations in mapping technology, they will help Stroud investigate the role that behavior plays in driving evolution in the wild.

“I’m incredibly honored to be named a 2025 Packard Fellow,” says Stroud. “This support allows me to pursue a question that has fascinated evolutionary biologists for centuries: how does behavior shape evolution? It’s a transformative opportunity, and I’m deeply grateful to the Packard Foundation for believing in the potential of this work.”

Tiny sensors, big questions

Begun in 2015, Stroud’s work on Lizard Island is one of the longest-running evolutionary studies of its kind: for the last 10 years, he has carefully caught and released every lizard on the island, measuring evolution through documenting their body characteristics, habitat use, and survival.

Through his studies, he has captured evolution in action, but monitoring and measuring behavior in evolutionary studies has historically been an extremely difficult and elusive task. The problem? While smaller animals tend to have higher population densities and reproduce more quickly (making them ideal candidates for evolutionary field studies), it has been difficult to find durable and long-lasting sensors small enough for these animals to carry.

“This has been a missing link because behavior is a critical component of evolution,” Stroud says. “Behavior can both expose individuals to — or shield them from — natural selection. For example, an animal with a less favorable trait, like bad eyesight, could change its behavior to avoid situations where it is disadvantaged. 

“These decisions can ultimately determine whether they survive and reproduce in the wild, directly influencing the outcome of natural selection. However, until now, we just haven’t had the technology to measure these types of extremely intricate behaviors across many individuals before.”

Mapping the future

Stroud won’t just know exactly where each lizard is — he’ll also create a detailed three-dimensional map of the entire island using remote sensing technology called LiDAR, updating it each year. “By shooting millions of laser beams, we can create a highly detailed three-dimensional map of Lizard Island, capturing the shape of every branch, rock, and blade of grass on the island,” he explains. “When connected to our lizard backpacks, we’ll know the exact microhabitats and resources available to each lizard as they move through this environment.”

Stroud will also deploy hundreds of microclimate sensors to understand how species are reacting to changes in temperature and climate. The result will be the world’s first comprehensive database: a record of minute lizard movements, the resources each individual uses, daily interactions, and changes in the environment spanning seasons and years. 

“For evolutionary scientists, it has been seemingly impossible to track the moment-by-moment decisions of individual organisms… until now,” he says.

“Today, it’s possible to study what Darwin could only dream of — evolution occurring in real time,” Stroud adds. “Behavior is a critical component of evolution, understanding evolution is critical to understanding life on Earth, and understanding life on Earth is more important than ever.”

Chu, an assistant professor in the School of Earth and Atmospheric Sciences has been awarded a $770,000 CAREER grant from the National Science Foundation (NSF) to create the first-ever comprehensive map of temperatures at the bottom of the ice sheet — a map that will span the entire Antarctic continent.

The NSF Faculty Early Career Development Program is a five-year grant designed to help promising researchers establish a foundation for a lifetime of leadership in their field. Known as CAREER awards, the grants are NSF’s most prestigious funding for early-career faculty.

In total, the Antarctic ice sheet holds enough water to raise global sea levels by over 200 feet — more than 50 feet higher than the top of Tech Tower. Climate models help predict how much of this ice may melt in the coming years, providing critical safety and planning information for coastal communities. However, researchers have limited knowledge of temperatures at the base of the ice sheet — miles beneath the surface — and these temperatures play a critical role in melting.

“Our research addresses this critical gap in Antarctic ice sheet modeling,” Chu explains. “If temperatures at the base are warm enough, the ice can melt and lubricate the interface.” The result? The surface acts like a slip-and-slide, carrying ice toward the ocean and accelerating melt. 

“It is crucial that we can accurately predict this behavior,” Chu says. “This map will be an essential step forward in refining our climate models for the safety of coastal communities, for infrastructure planning, and for climate adaptation worldwide.”

Mapping miles-thick ice

The process isn’t as simple as measuring the temperature with a thermometer though. The Antarctic ice sheet is, on average, over a mile thick and can range up to three miles thick.

Chu, who leads the Polar Geophysical Simulation Lab at Georgia Tech, will combine 20 years of radar data — the result of multiple international polar programs — and leverage a technique called “radar sounding,” which analyzes the echoes of airborne radar measurements. The brightness and shape of the echoes can reveal clues about subglacial meltwater and temperatures. To complete the picture, Chu will use cutting-edge generative artificial intelligence (AI) models.

“Innovations in generative AI are part of what makes this research possible,” says Chu, “but the driving force is the data collected by these long-term research studies. AI can help complete the picture — but only because that data exists.”

Preparing for the future

Chu aims for the temperature map to improve the parameterization of climate models and ice sheet projections. This will enable better predictions of future melt and help scientists assess areas that may be particularly vulnerable.

She hopes that the map will drive further advances in polar science. “Our datasets and radar observations will be open access, meaning they’ll be available for all researchers to use,” Chu shares. “We’ll also be sharing the AI processing codes that we develop and the enhanced ice sheet model outputs.”

Additionally, the research will train the next generation of climate scientists through developing educational programs for high schoolers, empowering and engaging students nationwide with hands-on polar science and AI applications.

“This research is about more than just mapping Antarctica — it’s about building tools that help us prepare for the future,” Chu says. “By making our data and models openly available, and by engaging students in the science behind climate change, we’re not only advancing polar research — we’re empowering the next generation to carry it forward.”

In this episode, Beril Toktay, Regents' Professor and faculty director of the Ray C. Anderson Center for Sustainable Business, defines net zero and discusses some ways to alleviate climate change by reducing carbon emissions to the point of net zero emissions.

Globally, most major polluters, such as China, the U.S., India, and the EU, are among over 140 nations with net-zero goals, which encompasses roughly 88 percent of global emissions. Meeting the Paris Agreement's 1.5°C climate threshold requires 45 percent emissions cut by 2030 and net-zero emissions by 2050 (United Nations Climate Action).

Toktay describes ways this can be accomplished in different business sectors. For example, in the energy sectors, this means moving from fossil fuels to renewable technologies, and in the transportation sector, moving to electrification and innovative battery technologies as well as developing the infrastructure to support these initiatives. These efforts help move businesses towards achieving net zero as well as providing cleaner air and water, and better health outcomes to the global population.

Listen as Toktay discusses what net zero means, the importance of getting to net zero, and how businesses can help reduce carbon emissions. 

They have a lot in common—starting with the fact that they are brothers. Farhan Khan came to Georgia Tech from Bangladesh to begin his Ph.D. studies in 2021. Farshid Khan followed in 2024, beginning his first semester assisting a doctoral student in the very same lab as his older brother.

“Georgia Tech undoubtedly has one of the best programs in this field,” Farshid Khan said. “Also because of the fact that my brother is here, when I got the admission offer, it was the perfect place to come.”

Their journey to Georgia Tech is deeply rooted in their experience growing up in Bangladesh.

“One of the major problems in Bangladesh is textile effluent pollution,” Farshid Khan said. “It is one of the largest textile exporters in the world. But the problem with the textile industry is they do not treat the water well. All of their effluents come into our rivers and they are highly polluted.

“I always wanted to work on that, and it is still my plan after going back to Bangladesh to work on that.”

Read more about their story on the School of Civil and Environmental Engineering website.

Few animals captivate people’s imagination like sharks. From the enduring cultural legacy of Jaws, which celebrated its 50th anniversary this year, to the continued popularity of the Discovery Channel's Shark Week, now in its 37th year, media portrayals of the apex predator can shape public perception, illuminate their role within Earth's ecosystems, and influence conservation efforts.  

A charcoal-like material made from leaves and branches that collect on forest floors could be a cheap, sustainable way to keep pollution from washing off roadways and into Georgia’s lakes and rivers.

Engineers at Georgia Tech and Georgia Southern University have found that this biological charcoal, or biochar, can be mixed with soil and used along roadways to catch grimy rainwater and filter it naturally before it pollutes surface water.

Their tests found the biochar effectively cleans contaminants from the rainwater and works just as well in the sandy soils of the coastal plain as in the clays of north Georgia. Their biochar-soil mixture can be easily substituted for expensive material mined from the earth that’s typically used on roads. 

Though they focused on Georgia, the researchers said the findings could easily apply across the U.S., providing a simple, natural way to keep road pollutants out of water sources. They published their approach in the Journal of Environmental Management.

Learn about their system on the College of Engineering website.

More than half a century after the United States won the race to the moon, the White House is setting its sights on a new frontier: Mars. In a move reminiscent of the Apollo era, the administration has proposed landing Americans on the red planet by the end of 2026 — a bold initiative that has reignited national ambition and drawn comparisons to the space race of the 20th century. 

The award’s €80,000 endowment will support a research trip to Germany for up to a year — during which Kostka will collaborate with Professor Mar­cel Kuypers, director of the Max Planck In­sti­tute for Mar­ine Mi­cro­bi­o­logy in Bre­men, Germany — to as­sess the role of mar­ine plant mi­cro­bi­o­mes in coastal mar­ine eco­sys­tem health and climate re­si­li­ence.

Kostka, who holds joint appointments in the School of Bio­lo­gical Sci­ences and School of Earth and Atmospheric Sciences, is also the as­so­ci­ate chair for re­search in Bio­lo­gical Sci­ences. He was ​​recently named the inaugural faculty director of Georgia Tech for Georgia's Tomorrow. The new Center, announced by the College of Sciences in December 2024, will drive research aimed at improving life across the state of Georgia. 

Wetlands in a changing climate

“Human population is centered on coastlines, and coastal ecosystems provide many services for people,” Kostka says. “Although they cover less than 1 percent of the ocean, coastal wetlands store over 50 percent of the seafloor’s rich carbon reserves.” But researchers aren’t sure how these ecosystems will respond to a changing climate.

Microbes may be the key. Microbes play a critical role in maintaining plant health and helping them adapt to stressors, Kostka says. Similar to human bodies, plants have microbiomes: a community of microbes intimately associated with the plant that help it take up nutrients, stimulate the plant’s immune system, and regulate plant hormones. 

“Our research indicates that plant microbiomes are fundamental to wetland ecosystem health, yet almost everything we know about them is from agricultural systems,” he adds. “We know very little about the microbes associated with these important marine plants that dominate coastal ecosystems.”

Kostka’s work in Germany will investigate how microbiomes help coastal marine plants adapt to stress and keep them healthy. From there, he will investigate how plant microbiomes contribute to the carbon and nutrient cycles of coastal ecosystems — and how they contribute to ecosystem resilience.

Expanding collaboration — and insights 

One goal of the collaboration is to exchange information on two types of marine plants that dominate coastal ecosystems worldwide: those associated with seagrass meadows and salt marshes.

“I’ve investigated salt marsh plants in the intertidal zone between tides, and my colleagues at the Max Planck Institute have focused on seagrass beds and seagrass meadows, which are subtidal, below the tides,” Kostka says. “While these two ecosystems have some different characteristics, they both cover large areas of the global coastline and are dominated by salt-tolerant plants.” 

In salt marshes, Kostka has shown that marine plants have symbiotic microbes in their roots that help them to take up nitrogen and deal with stress by removing toxic sulfides. He suspects that these plant-microbe interactions are critical to the resilience of coastal ecosystems. “The Max Planck Institute made similar observations in seagrass meadows as we did in salt marshes,” Kostka explains. “But they found different bacteria.”

From Georgia to Germany

Beyond supporting excellence in research, another key goal of the Humboldt Research Award is to support international collaboration — something very familiar to Kostka. “I've been working with Professor Kuypers and the Max Planck Institute in Bremen for many years,” he says, adding that he completed his postdoctoral research at the Institute. “Max Planck's labs are some of the best in the world for what they do, and their imaging technology can give us an unprecedented look at plant-microbe interactions at the cellular level.”

“This project is also special because I am collaborating with other scientists in northern Germany,” Kostka adds. “The University of Bremen is home to the Cen­ter for Mar­ine En­vir­on­mental Sci­ences (MARUM), which is designated as a Cluster of Excellence by the German National Science Foundation, so there are a number of fantastic research centers in Bremen to work with.”

His hope is that this project will deepen collaboration between the research at Georgia Tech and research in Germany. “I look forward to seeing what we can uncover about these critical systems while working together.”

The study, “Evidence for a composite volcano on the rim of Jezero crater on Mars,” was published this May in the Nature-family journal Communications Earth & Environment, and underscores how much we have left to learn about one of the most well-studied regions of Mars.

Lead author Sara C. Cuevas-Quiñones completed the research as an undergraduate during a summer program at Georgia Tech; she is now a graduate student at Brown University. The team also included corresponding author Professor James J. Wray (School of Earth and Atmospheric Sciences), Assistant Professor Frances Rivera-Hernández (School of Earth and Atmospheric Sciences), and Jacob Adler, then a postdoctoral fellow at Georgia Tech and now an assistant research professor at Arizona State University. 

“Volcanism on Mars is intriguing for a number of reasons — from the implications it has on habitability, to better constraining the geologic history,” Wray says. “Jezero Crater is one of the best studied sites on Mars. If we are just now identifying a volcano here, imagine how many more could be on Mars. Volcanoes may be even more widespread across Mars than we thought.”

A mountain in the margins

Wray first noticed the mountain in 2007, while considering Jezero Crater as a graduate student. 

“I was looking at low-resolution photos of the area and noticed a mountain on the crater’s rim,” he recalls. “To me, it looked like a volcano, but it was difficult to get additional images.” At the time, Jezero Crater was newly discovered, and imaging focused almost entirely on its intriguing water history, which is on the opposite side of the 28-mile-wide crater.

Then, Jezero Crater, due to these lake-like sedimentary deposits, was selected as the landing spot for the 2020 Perseverance Rover — an ongoing NASA mission seeking signs of ancient Martian life and collecting rock samples for possible return to Earth.

However, after landing, some of the first rocks Perseverance encountered were not the sedimentary deposits one might expect from a previously-flooded area — they were volcanic. Wray suspected he might know the origin of these rocks, but to make a case for it, he would need to show that the mountain on the edge of Jezero Crater could indeed be a volcano.

A new researcher — and old data

The opportunity presented itself several months after Perseverance landed when Cuevas-Quiñones applied to a Summer Research Experience for Undergraduates (REU) program hosted by the School of Earth and Atmospheric Sciences to work with Wray. 

“A previous study led by Briony Horgan (professor of planetary science at Purdue University) had also suggested that Jezero Mons could be volcanic,” Cuevas-Quiñones says. “I began wondering if there was a way to home in on these suspicions.”

The team partnered with study coauthor Rivera-Hernández, who specializes in characterizing the surface of planets and their habitability. They decided to use datasets gathered from spacecraft orbiting Mars to compare the properties of Jezero Mons to other, known, volcanoes. “We can’t visit Mars and definitively prove that Jezero Mons is a volcano, but we can show that it shares the same properties with existing volcanoes — both here on Earth and Mars,” Wray explains.

“We used data from the Mars Odyssey Orbiter, Mars Reconnaissance Orbiter, ExoMars Trace Gas Orbiter, and Perseverance Rover, all in combination to puzzle this out,” he adds. “I think this shows that these older spacecraft can be extremely valuable long after their initial missions end — these old spacecraft can still make important discoveries and help us answer tricky questions.”

For Cuevas-Quiñones, it also underscores the importance of REU programs and opportunities for undergraduates. “I was an undergraduate student at the time, and this was my first time conducting research,” she says. “It was fascinating to learn how different data sets could be used to decode the origin of a landscape. After Jezero Mons, it became clear to me that I would continue to study Mars and other planetary bodies.”

The search for life — and determining Mars’ age

The discovery makes the crater even more intriguing in the search for past life on Mars. A volcano so close to watery Jezero Crater could add a critical source of heat on an otherwise cold planet, including the potential for hydrothermal activity — energy that life could use to thrive. 

This type of system also holds interest for Mars as a whole. “The coalescence of these two types of systems makes Jezero more interesting than ever,” shares Wray. “We have samples of incredible sedimentary rocks that could be from a habitable region alongside igneous rocks with important scientific value.” If returned to Earth, igneous rocks can be radioisotope dated to know their age very precisely. Dating the Jezero Crater samples could be used to calibrate age estimates, providing an unprecedented window into the geologic history of the planet.

The take home message? “Mars is the best place we have to look in our solar system for signs of life, and thanks to the Perseverance Rover collecting samples in Jezero, the United States has samples from the best rocks in the best place on Mars,” Wray says. “If these samples are returned to Earth, we can do incredible, groundbreaking science with them.”

DOI: https://doi.org/10.1038/s43247-025-02329-7

Funding: Cuevas-Quiñones was supported by Georgia Tech’s 2021 Research Experience for Undergraduates program sponsored by NSF and 3M corporation. Wray was supported by NASA funding for Co-Investigators on HiRISE and CaSSIS. CaSSIS is a project of the University of Bern and funded through the Swiss Space Office via ESA’s PRODEX program. The instrument hardware development was also supported by the Italian Space Agency (ASI) (ASI-INAF agreement 2020-17-HH.0), INAF/Astronomical Observatory of Padova, and the Space Research Center (CBK) in Warsaw. Support from SGF (Budapest), the University of Arizona Lunar and Planetary Lab, and NASA are also gratefully acknowledged. Operation support from the UK Space Agency is also acknowledged.

Wang is a recipient of the 2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI). The award recognizes Wang for his lifelong work on democratizing human-centered AI.

“Throughout my Ph.D. and industry internships, I observed a gap in existing research: there is a strong need for practical tools for applying human-centered approaches when designing AI systems,” said Wang, now a safety researcher at OpenAI.

“My work not only helps people understand AI and guide its behavior but also provides user-friendly tools that fit into existing workflows.”

[Related: Georgia Tech College of Computing Swarms to Yokohama, Japan, for CHI 2025]

Wang’s dissertation presented techniques in visual explanation and interactive guidance to align AI models with user knowledge and values. The work culminated from years of research, fellowship support, and internships.

Wang’s most influential projects formed the core of his dissertation. These included:

• CNN Explainer: an open-source tool developed for deep-learning beginners. Since its release in July 2020, more than 436,000 global visitors have used the tool.
• DiffusionDB: a first-of-its-kind large-scale dataset that lays a foundation to help people better understand generative AI. This work could lead to new research in detecting deepfakes and designing human-AI interaction tools to help people more easily use these models.
• GAM Changer: an interface that empowers users in healthcare, finance, or other domains to edit ML models to include knowledge and values specific to their domain, which improves reliability.
• GAM Coach: an interactive ML tool that could help people who have been rejected for a loan by automatically letting an applicant know what is needed for them to receive loan approval.
• Farsight: a tool that alerts developers when they write prompts in large language models that could be harmful and misused.  

“I feel extremely honored and lucky to receive this award, and I am deeply grateful to many who have supported me along the way, including Polo, mentors, collaborators, and friends,” said Wang, who was advised by School of Computational Science and Engineering (CSE) Professor Polo Chau.

“This recognition also inspired me to continue striving to design and develop easy-to-use tools that help everyone to easily interact with AI systems.”

Like Wang, Chau advised Georgia Tech alumnus Fred Hohman (Ph.D. CSE 2020). Hohman won the ACM SIGCHI Outstanding Dissertation Award in 2022.

Chau’s group synthesizes machine learning (ML) and visualization techniques into scalable, interactive, and trustworthy tools. These tools increase understanding and interaction with large-scale data and ML models. 

Chau is the associate director of corporate relations for the Machine Learning Center at Georgia Tech. Wang called the School of CSE his home unit while a student in the ML program under Chau.

Wang is one of five recipients of this year’s award to be presented at the 2025 Conference on Human Factors in Computing Systems (CHI 2025). The conference occurs April 25-May 1 in Yokohama, Japan. 

SIGCHI is the world’s largest association of human-computer interaction professionals and practitioners. The group sponsors or co-sponsors 26 conferences, including CHI.

Wang’s outstanding dissertation award is the latest recognition of a career decorated with achievement.

Months after graduating from Georgia Tech, Forbes named Wang to its 30 Under 30 in Science for 2025 for his dissertation. Wang was one of 15 Yellow Jackets included in nine different 30 Under 30 lists and the only Georgia Tech-affiliated individual on the 30 Under 30 in Science list.

While a Georgia Tech student, Wang earned recognition from big names in business and technology. He received the Apple Scholars in AI/ML Ph.D. Fellowship in 2023 and was in the 2022 cohort of the J.P. Morgan AI Ph.D. Fellowships Program.

Along with the CHI award, Wang’s dissertation earned him awards this year at banquets across campus. The Georgia Tech chapter of Sigma Xi presented Wang with the Best Ph.D. Thesis Award. He also received the College of Computing’s Outstanding Dissertation Award.

“Georgia Tech attracts many great minds, and I’m glad that some, like Jay, chose to join our group,” Chau said. “It has been a joy to work alongside them and witness the many wonderful things they have accomplished, and with many more to come in their careers.”

Through a new review paper published in Nature, the researchers underscore how long-term studies have captured evolution's most elusive processes, including the real-time formation of new species and the emergence of biological innovations.

"Evolution isn't just about change over millions of years in fossils — it's happening all around us, right now," says James Stroud, the paper’s lead author and an Elizabeth Smithgall Watts Early Career Assistant Professor in the School of Biological Sciences at Georgia Tech. "However, to understand evolution, we need to watch it unfold in real time, often over many generations. Long-term studies allow us to do that by giving us a front-row seat to evolution in action."

The paper, “Long-term studies provide unique insights into evolution,” is the first-ever comprehensive analysis of these types of long-term evolutionary studies, and examines some of the longest-running evolutionary experiments and field studies to date, highlighting how they provide new perspectives on evolution. For example, in the Galápagos, a 40-year field study of Darwin’s finches — songbirds named after evolutionary biology’s famous founder — documented the formation of a new species through hybridization. In the lab, a study spanning 75,000 generations of bacteria showed populations unexpectedly evolving completely new metabolic abilities.

“These remarkable evolutionary events were only caught because of the long-term nature of the research programs,” Stroud says. “Even if short-term studies captured similar events, their evolutionary significance would be hard to assess without the historical context that long-term research provides.”

“The most fascinating results from long-term evolution studies are often completely unexpected — they're serendipitous discoveries that couldn't have been predicted at the start,” explains the paper’s co-author, Will Ratcliff, Sutherland Professor in the School of Biological Sciences and co-director of the Interdisciplinary Ph.D. in Quantitative Biosciences at Georgia Tech.

“While we can accelerate many aspects of scientific research today, evolution still moves at its own pace,” Ratcliff adds. “There's no technological shortcut for watching species adapt across generations.” 

Decades of discovery — from labs to islands

The new paper also highlights a growing challenge in modern science: the critical importance of supporting long-term research in an academic landscape that increasingly favors quick results and short-term funding. Yet, they say, some of biology's most profound insights emerge only through multi-decadal efforts.

Those challenges and rewards are familiar to Stroud and Ratcliff, who operate their own long-term evolutionary research programs at Georgia Tech. 

In South Florida, Stroud’s ‘Lizard Island’ is helping document evolution in action across the football field-sized island’s 1,000-lizard population. By studying a community of five species, his research is providing unique insights into how evolution maintains species’ differences, and how species evolve when new competitors arrive. Now operating for a decade, it is one of the world’s longest-running active evolutionary studies of its kind.

In his lab at Georgia Tech, Ratcliff studies the origin of complex life — specifically, how single-celled organisms become multicellular. His Multicellularity Long Term Evolution Experiment (MuLTEE) on snowflake yeast has run for more than 9,000 generations, with aims to continue for the next 25 years. The work has shown how key steps in the evolutionary transition from single-celled organisms to multi-celled organisms occur far more easily than previously understood.

Important work in a changing world

Stroud says that the insights from these types of studies, and this review paper, are arriving at a crucial moment. “The world is rapidly changing, which poses unprecedented challenges to Earth's biodiversity,” he explains. “It has never been more important to understand how organisms adapt to changing environments over time.”

“Long-term studies provide our best window into achieving this,” he adds. “We can document, in real time, both short-term and long-term evolutionary responses of species to changes in their environment like climate change and habitat modification."

By drawing together evolution's longest-running experiments and field studies for the first time, Stroud and Ratcliff offer key insights into studying this fundamental process, suggesting that understanding life's past — and predicting its future — requires not just advanced technology or new methods, but also the simple power of time.

Funding: The US National Institutes of Health and the NSF Division of Environmental Biology

DOI: https://doi.org/10.1038/s41586-025-08597-9

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

In experiments predicting medium-range weather forecasting and shallow water wave propagation, Latent-EnSF demonstrated higher accuracy, faster convergence, and greater efficiency than existing methods for sparse data assimilation.

“We are currently involved in an NSF-funded project aimed at providing real-time information on extreme flooding events in Pinellas County, Florida,” said Si, who studies computational science and engineering (CSE). 

“We're actively working on integrating Latent-EnSF into the system, which will facilitate accurate and synchronized modeling of natural disasters. This initiative aims to enhance community preparedness and safety measures in response to flooding risks.” 

Latent-EnSF outperformed three comparable models in assimilation speed, accuracy, and efficiency in shallow water wave propagation experiments. These tests show models can make better and faster predictions of coastal flood waves, tides, and tsunamis. 

In experiments on medium-range weather forecasting, Latent-EnSF surpassed the same three control models in accuracy, convergence, and time. Additionally, this test demonstrated Latent-EnSF's scalability compared to other methods.

These promising results support using ML models to simulate climate, weather, and other complex systems.

Traditionally, such studies require employment of large, energy-intensive supercomputers. However, advances like Latent-EnSF are making smaller, more efficient ML models feasible for these purposes.

The Georgia Tech team mentioned this comparison in its paper. It takes hours for the European Center for Medium-Range Weather Forecasts computer to run its simulations. Conversely, the ML model FourCastNet calculated the same forecast in seconds.

“Resolution, complexity, and data-diversity will continue to increase into the future,” said Chen, an assistant professor in the School of CSE. 

“To keep pace with this trend, we believe that ML models and ML-based data assimilation methods will become indispensable for studying large-scale complex systems.”

Data assimilation is the process by which models continuously ingest new, real-world data to update predictions. This data is often sparse, meaning it is limited, incomplete, or unevenly distributed over time. 

Latent-EnSF builds on the Ensemble Filter Scores (EnSF) model developed by Florida State University and Oak Ridge National Laboratory researchers. 

EnSF’s strength is that it assimilates data with many features and unpredictable relationships between data points. However, integrating sparse data leads to lost information and knowledge gaps in the model. Also, such large models may stop learning entirely from small amounts of sparse data.

The Georgia Tech researchers employ two variational autoencoders (VAEs) in Latent-EnSF to help ML models integrate and use real-world data. The VAEs encode sparse data and predictive models together in the same space to assimilate data more accurately and efficiently.

Integrating models with new methods, like Latent-EnSF, accelerates data assimilation. Producing accurate predictions more quickly during real-world crises could save lives and property for communities.

[Related: University of South Florida Researchers Track Flooding in Coastal Communities During Hurricanes Helene and Milton]

To share Latent-EnSF to the broader research community, Chen and Si presented their paper at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) organized CSE25, held March 3-7 in Fort Worth, Texas.

Chen was one of ten School of CSE faculty members who presented research at CSE25, representing one-third of the School’s faculty body. Latent-EnSF was one of 15 papers by School of CSE authors and one of 23 Georgia Tech papers presented at the conference.

The pair will also present Latent-EnSF at the upcoming International Conference on Learning Representations (ICLR 2025). Occurring April 24-28 in Singapore, ICLR is one of the world’s most prestigious conferences dedicated to artificial intelligence research.

“We hope to bring attention to experts and domain scientists the exciting area of ML-based data assimilation by presenting our paper,” Chen said. “Our work offers a new solution to address some of the key shortcomings in the area for broader applications.”

ElectrifyGT is at the forefront of Georgia Tech’s push for a cleaner future.  

Led by Loren Williams (Georgia Institute of Technology) and Moran Frenkel-Pinter (The Hebrew University of Jerusalem) and published in Nature Chemistry, the team’s paper investigates how chemical mixtures evolve over time, offering new insights into the origins of biological complexity.

“Our research applies concepts from evolutionary biology to chemistry,” explains Williams, a professor in the School of Chemistry and Biochemistry. “We know that everything in biology can be reduced to chemistry, but the idea of this paper is that in the right conditions, chemistry can evolve, too. We call this chemical evolution.”

While much research has focused on individual chemical reactions that could lead to biological molecules, this study establishes an experimental model to explore how entire chemical systems evolve when exposed to environmental changes. 

“Chemical evolution is chemistry that keeps changing and doing new things,” Williams explains. “It’s unending chemical change, but with exploration of new chemical spaces. We wondered if we could set up a system that does that without introducing new molecules ourselves — instead we had the system oscillate between wet and dry conditions.” 

In nature, these systems might look like a landscape where water condenses, and then dries out, over and over again — conditions that arise naturally from the day-night cycles of our planet.

From simple molecules to complex systems

The study identified three key findings — chemical systems can continuously evolve without reaching equilibrium, avoid uncontrolled complexity through selective chemical pathways, and exhibit synchronized population dynamics among different molecular species. This suggests that environmental factors played a key role in shaping the molecular complexity needed for life to emerge.

“This research offers a new perspective on how molecular evolution might have unfolded on early Earth,” says Frenkel-Pinter, assistant professor in the Institute of Chemistry at The Hebrew University of Jerusalem. “By demonstrating that chemical systems can self-organize and evolve in structured ways, we provide experimental evidence that may help bridge the gap between prebiotic chemistry and the emergence of biological molecules.” 

Beyond its relevance to origins-of-life research, the study’s findings may have broader applications in synthetic biology and nanotechnology. Controlled chemical evolution could be harnessed to design new molecular systems with specific properties, potentially leading to innovations in materials science, drug development, and biotechnology.

This research is shared jointly with The Hebrew University of Jerusalem newsroom.

Making the switch could slash the impact of one of the biggest sources of greenhouse gas emissions: Buildings account for roughly 1/5 of emissions globally. By some estimates, using hemp-based products would reduce the environmental impact of insulation by 90% or more. 

The Georgia Tech researchers’ work, reported this month in the Journal of Cleaner Production, is one of the first studies to evaluate the potential for scaling up U.S. production and availability of hemp-based insulation products.

Read about their findings on the College of Engineering website.

Georgia Tech’s Space Exploration and Analysis Laboratory (SEAL) has developed new algorithms that are headed to the Moon, as part of the Intuitive Machine’s IM-2 mission. The mission is sending a Nova-C class lunar lander named Athena to the Moon’s south pole region to test technologies and collect data that aim to enable future exploration. The mission is part of NASA’s Commercial Lunar Payload Services (CLPS) initiative.

As the Los Angeles fires quickly spread starting Jan. 7, with wind gusts approaching 100 mph, scientists observed a 110-fold rise in airborne lead levels. This spike had receded by Jan. 11.  

Someday, your drinking water could be completely free of toxic “forever chemicals.” 

With the recent and rapid growth of distributed renewable technologies — wind, solar, and hydropower, and storage assets like batteries — a team of researchers at the Georgia Institute of Technology is reimagining the planning paradigm for electric power infrastructure. The hope is to help shape new models that are better suited to community needs and include input and decision-making at the local level.

As envisioned, the Georgia Energyshed (G-SHED) will analyze the benefits, costs, and effects of various electricity generation, distribution, and usage-and-demand scenarios via use-case tests and modeling. That data will then be used to inform policy decisions at the local level and the implementation of new ideas for the 11-county metro Atlanta area as defined by the Atlanta Regional Commission (ARC).

“What’s unique about this proposal is we’re using this funding to explore a new planning mechanism that would really listen to the voices of these communities around their energy matrix,” said Richard Simmons, director of research and studies at Georgia Tech’s Strategic Energy Institute. Simmons is the project's principal investigator.

Announced on November 2, the energyshed award is part of the federal agency’s push to encourage a regional approach to understanding local energy demands and needs — and the best solutions to solve them tailored to those communities. Through its Office of Energy Efficiency & Renewable Energy, the DOE funding is part of a wider strategy to help communities understand the impacts and benefits of consuming energy that they generate locally.

“The idea is not only to better include these communities in the conversation, but demonstrate that they can realize more local benefits from their and input and decisions.”

Leading the initiative is the Energy, Policy, and Innovation Center (EPICenter). An arm of the Strategic Energy Institute, EPICenter is tasked with marrying innovation with energy technology and policy; contributing to sound recommendations for the Southeast through unbiased research and analysis.

“This grant is ideally suited for the mission of the EPICenter, which really tries to take leading energy technology and apply it in a local context that is mindful of the economic and social implications,” Simmons said.

The Georgia Tech team also includes researchers from the School of Public Policy, the School of City and Regional Planning, and the College of Engineering.

To conduct the work, Georgia Tech is collaborating with key partners: the Atlanta Regional Commission (ARC), which has engaged in similar planning and modeling processes for regional water and transportation usage and trends; and the Southface Institute, a sustainability non-profit with extensive experience in outreach, and community engagement research. Another nonprofit, the Partnership for Southern Equity, has also provided a letter endorsing the initiative.

A New Approach to Resource Management
The G-SHED idea is modeled after the watershed concept, which takes a regional, solutions-based approach to address water demand and usage at the community level. Much like watersheds, where water collection, processing, distribution, use, and discharge is determined at the community level, Simmons said the idea is to explore how a similar approach can be valid for planning and infrastructure related to energy systems, such as electricity.

“There do appear to be some critical advantages by looking at local generation, consumption and even storage of renewable energy,” said Simmons. “That might help not only meet the needs of the local populace, but it could have conversion efficiency benefits and have more direct impact on both the economic and environmental wellness of the area.”

While individual people and organizations already make energy-related decisions — consumers buying electric vehicles or developers erecting green or sustainable office buildings, for example — there’s greater impact when broadened to the community or regional level, said Joe Hagerman, EPICenter director.

“So, when decisions are made, they are being made at a community level and capture a more representative local understanding. That information can be shared both upstream and downstream to the utilities, planners, and policymakers,” Hagerman said. “We’re hoping to create a tool that will help people make those decisions in a more holistic way, rather than making it all individually.”

Ensuring All Voices Are Heard
A key component of the G-SHED effort is to ensure all communities are included in the regional energy planning and decision-making processes.

Marilyn Brown, Regents’ Professor and Brook Byers Professor of Sustainable Systems in the School of Public Policy, has conducted pioneering work on energy burdens in the Southeast.

“The goal is balanced growth and shared prosperity in the Atlanta metropolitan area by helping local communities and neighborhoods,” Brown said. 

The Southface Institute and ARC will leverage novel socio-technical tools developed by Georgia Tech to assess ways metro Atlanta can ensure all residents benefit from the transition to a cleaner and more sustainable energy economy. The team will survey community groups about energy use and service options, access to rate plans, ease of understanding electric bills, and familiarity with community energy options. Then, they will build an online toolkit to address these needs and help them learn how to use it.

“Focusing on that aspect is critical to the overall project’s success because rising energy and utility costs fall disproportionately on those who can least afford them and yet have limited influence in the decision making,” said Chandra Farley, the city of Atlanta’s chief sustainability officer.

Nationally, Atlanta is 4th highest in median energy burden levels (behind Memphis, New Orleans, and Birmingham, respectively) and 3rd highest among low-income household populations.

“Evaluating energy needs at the local and metro area level with direct input from the communities who have typically had no voice in energy decision making is an important tool in energy planning,” Farley said. “The work that Georgia Tech is leading on energysheds will support community-informed energy planning and reinforce our efforts in the city of Atlanta to address energy affordability and advance access to the benefits of renewable energy projects leading to healthier communities and economic empowerment.”

The demand for electricity to power AI data centers is skyrocketing, placing immense pressure on traditional energy sources.  

Lead author James Stroud, an assistant professor in the School of Biological Sciences, was studying Cuban brown anoles (Anolis sagrei) in South Florida when the Puerto Rican crested anole (Anolis cristatellus), suddenly appeared in the region.

Published in Nature Communications, the study documents what happens as the two Anolis lizards adapted in response to the new competitor, while helping to resolve a longstanding challenge in evolutionary biology — directly observing the role of natural selection in character displacement: how similar animals adapt in response to competition.

"Most of what we know about how animals change in response to this process comes from studying patterns that evolved long ago,” Stroud says. “This was a rare opportunity where we could watch evolution as it happened."

Competition from coexistence 

While these two small, brown lizards diverged evolutionarily between 40-60 million years ago and evolved on completely separate Caribbean islands, the two species are nearly identical, and fill similar ecological niches.

So, when the Puerto Rican crested anole suddenly appeared in Cuban brown anole habitat at Fairchild Tropical Botanic Garden in 2018, the two were competing for similar habitats and food sources.

“When two similar species compete for the same resources, like food and territory, they often evolve differences that allow them to coexist,” Stroud says. But, while scientists have found many examples of similar species developing different traits to ease this overlap, “scientists have rarely been able to observe this process as it unfolds in nature.”

Stroud’s team had already been studying Cuban brown anoles at the Fairchild Tropical Botanic Gardens in Miami, Florida, two years prior to when the crested anoles invaded. The team was able to quickly pivot to observe how the invasion changed both species, analyzing the lizards’ changing diets, measuring if the lizards were moving through foliage or on the forest floor, and recording the different species’ locations relative to each other. For over a thousand lizards, they also measured perch height — the distance from the ground that the lizard is perching — a primary marker of how Anolis lizards divvy up habitat.

“We not only observed how these lizards changed their habitat use and behavior when they encountered each other,” says Stroud, “but we also documented the natural selection pressures driving their physical evolution in real-time."

Human-made habitats and natural experiments

The research team found that when these lizard species occur together, they divide up their habitat in predictable ways — the Cuban brown anole shifted to spend more time on the ground, and evolved longer legs to run faster in this habitat, while the slightly larger Cuban crested anole lived in vegetation above the ground. 

"We found that brown anoles with longer legs had higher survival after crested anoles showed up," says Stroud. "This matches perfectly with the physical differences we see in populations where these species have been living together for many generations."

Stroud adds that while the research provides some of the strongest observations of evolution in action to date, it also demonstrates how human activities can create natural experiments that help us understand fundamental evolutionary processes — both species of Anolis lizard in the study were originally non-native to South Florida.

“As species increasingly come into contact due to human-mediated introductions and climate change, these studies may be important for predicting how communities will respond,” he says. "By studying these non-native lizards who are meeting each other for the first time in their existence, we had a unique opportunity to see the actual process unfold and connect it to the patterns we observe in nature."

Five years after the headline-grabbing “murder hornet” (Vespa mandarinia, renamed the northern giant hornet in 2022) was first spotted in Washington state, the U.S. has declared the invasive species eradicated.  

Professor Greg Huey has been awarded an NSF RAPID grant to unravel the chemical composition of the emission plumes. The grant, "Identification and Measurement of Emissions from the Biolab Incident Impacting the Atlanta Urban Area", will support the analysis of air chemistry data collected during a three-week span that the plume impacted the Atlanta area.

During the incident, Huey’s lab collected real-time air chemistry data in two locations — at Georgia Tech in Midtown Atlanta, and near the BioLab facility, in Conyers, GA.

Huey, a professor in the School of Earth and Atmospheric Sciences, has spent the last fifteen years measuring halogens — including chlorine and bromine — in remote locations like Barrow, Alaska. “Normally, there are no halogens detectable in the Atlanta area,” he says. “But spending the last 15 years making observations in other locations means that we were well-equipped to measure the halogens from the BioLab plume, and untangle some of the plume’s chemistry.”

“Our goal is to understand and report what was in the plume, then establish a website and make the data publicly available,” Huey adds. “We aim to share valuable public knowledge about this incident.”

A rapid response

When the plume first became visible, Huey recognized the ability to collect data in real-time. 

“We decided to turn our high resolution mass spectrometer on and start sampling air,” he says. This piece of scientific equipment is capable of capturing and identifying chemical signatures, and is sensitive to measuring levels of specific chemicals, such as chlorine and bromine. “We have a port measure on the roof of our building at Georgia Tech, which allowed us to start observing the first day,” he adds.

However, this kind of data collection also depends on wind direction blowing chemicals to different regions, Huey explains.

Leveraging the School of Earth and Atmospheric Sciences’ mobile air quality trailer, the team deployed a second mass spectrometer near the BioLab facility in Conyers, Georgia. “The City was very supportive,” Huey shares. “We set up the mobile lab in the parking lot of Conyers City Hall with the goal of seeing what we could measure — and if we were seeing high levels of chlorine.”

With both sites established, Huey says the team was able to simultaneously measure in Conyers and in Midtown Atlanta — and began to see that the plume was more chemically complex than initially thought.

A proactive approach

Collected data in tow, the NSF RAPID grant will support Huey and a graduate student in the analysis of those site readings, including calibration and publication of chemical data — to be archived to a publicly accessible site; analysis of mass spectra associated with the plumes and identification of chemical compounds; calibration of the species identified, prioritized based on toxicity; and publication of a report on all species detected in the plumes. 

Data from the project will help inform communities potentially impacted by the plume — while helping predict the impacts of similar chemical incidents, enabling a better understanding of how to address accidental chemical emissions in the future. 
“We want to have a better idea of what this type of incident can produce for future incidents, and we want to have a better idea of what people may have been exposed to,” Huey says.  “While we can’t measure and identify everything, this project will help us become better informed for the future.”

Funding: 

NSF AGS Division of Atmospheric and Geospace Sciences #2509330

Now, Zhigang Peng, a professor in the School of Earth and Atmospheric Sciences at Georgia Tech and graduate students Phuc Mach and Chang Ding, alongside researchers at the Scientific and Technological Research Institution of Türkiye (TÜBİTAK) and researchers at the University of Missouri, are using small seismic sensors to better understand just how, why, and when these earthquakes are occurring.

Funded by an NSF RAPID grant, the project is unique in that it aims to actively respond to the crisis while it’s still happening. National Science Foundation (NSF) Rapid Response Research (RAPID) grants are used when there is a severe urgency with regard to availability of or access to data, facilities or specialized equipment, including quick-response research on natural or anthropogenic disasters and other similar unanticipated events.

In an effort to better map the aftershocks of the earthquake event — which can occur weeks or months after the main event — the team placed approximately 120 small sensors, called nodes, in the East Anatolian fault region this past May. Their deployment continues through the summer. 

It’s the first time sensors like this have been deployed in Turkey, says Peng.

“These sensors are unique in that they can be placed easily and efficiently," he explains. "With internal batteries that can work up to one month when fully charged, they’re buried in the ground and can be deployed within minutes, while most other seismic sensors need solar panels or other power sources and take much longer time and space to deploy.” Each node is about the size of a 2-liter soda bottle, and can measure ground movement in three directions.

 “The primary reason we’re deploying these sensors quickly following the two mainshocks is to study the physical mechanisms of how earthquakes trigger each,” Peng adds. Mainshocks are the largest earthquake in a sequence. “We’ll use advanced techniques such as machine learning to detect and locate thousands of small aftershocks recorded by this network. These newly identified events can provide new important clues on how aftershocks evolve in space and time, and what drives foreshocks that occur before large events.”

Unearthing fault mechanisms

The team will also use the detected aftershocks to illuminate active faults where three tectonic plates come together — a region known as the Maraş Triple Junction. “We plan to use the aftershock locations and the seismic waves from recorded events to image subsurface structures where large damaging earthquakes occur,” says Mach, the Georgia Tech graduate researcher. This will help scientists better understand why sometimes faults ‘creep’ without any large events, while in other cases faults lock and then violently release elastic energy, creating powerful earthquakes.

Getting high-resolution data of the fault structures is another priority. “The fault line ruptured in the first magnitude 7.8 event has a bend in it, where earthquake activity typically terminates, but the earthquake rupture moved through this bend, which is highly unusual,” Peng says. By deploying additional ultra-dense arrays of sensors in their upcoming trip this summer, the team hopes to help researchers ‘see’ the bend under the Earth’s surface, allowing them to better understand how fault properties control earthquake rupture propagation.  

The team also aims to learn more about the relationship between the two main shocks that recently rocked Turkey, sometimes called doublet events. Doublet events can happen when the initial earthquake triggers a secondary earthquake by adding extra stress loading. While in this instance, the doublet may have taken place only 9 hours after the initial event, these secondary earthquakes have been known to take place days, months, or even years after the initial one — a famous example being the sequence of earthquakes that spanned 60 years in the North Anatolian fault region in Northern Turkey. 

“Clearly the two main shocks in 2023 are related, but it is still not clear how to explain the time delays,” says Peng. The team plans to work with their collaborators at TÜBİTAK to re-analyze seismic and other types of geophysical data right before and after those two main shocks in order to better understand the triggering mechanisms.

“In our most recent trip in southern Türkiye, we saw numerous buildings that were partially damaged during the mainshock, and many people will have to live in temporary shelters for years during the rebuilding process,” Peng adds. “While we cannot stop earthquakes from happening in tectonically active regions, we hope that our seismic deployment and subsequent research on earthquake triggering and fault imaging can improve our ability to predict what will happen next — before and after a big one — and could save countless lives.”

Installed recently at Georgia Gwinnett College (GGC), an X-band weather radar purchased two years ago by the Georgia Institute of Technology and the University of Georgia (UGA) is now providing data for a section of north Georgia where information on severe storms such as tornados can be limited by terrain.

The radar will also be used for research into weather and severe storms, and by students at the three institutions for learning about everything from physics and engineering to weather, rainfall, and the effects of changing climate on the migration patterns of birds and insects. The instrument will be one of just a handful of weather radars operated by universities in the United States.

“We are really excited about this partnership with Georgia Tech, the Georgia Tech Research Institute, the University of Georgia, and Georgia Gwinnett College,” said Marshall Shepherd, Associate Dean for Research, Scholarship and Partnership at UGA’s Franklin College of Arts and Sciences and Director of UGA’s Atmospheric Sciences Program. “The radar will be a real-time component of classes, so it’s creating new instructional and service capabilities. It will also enable researchers at the University of Georgia and Georgia Tech to pursue new research opportunities in the areas of severe weather, frozen precipitation – and perhaps even studies of birds and insects.”

The radar will provide a new data source for UGA’s WeatherDawgs service, which provides hyperlocal weather data not only for the Athens community, but also for residents of eastern and northeastern Georgia. The system will also provide a real-time component for the mesoscale meteorology course taught at the university.

For Georgia Tech, the radar will support the work of the Severe Storms Research Center (SSRC), a state-funded initiative that serves as a focal point for severe storms research in the state. The radar will also support research and education at Georgia Tech, including courses on weather radar systems and studies of lightning being done in the School of Electrical and Computer Engineering.

“The new radar will help fill some low-level gaps in weather radar coverage in north Georgia, and give higher-resolution data for the Georgia Gwinnett campus, University of Georgia campus, Georgia Tech campus and areas in between,” said John Trostel, director of the SSRC. “This is an area where both UGA and Georgia Tech have interests because it goes from urban to suburban, then back to urban. We might see some very interesting weather phenomena going on in those transition areas.”

The National Weather Service has access to a feed from the radar and will use it to obtain information about low-altitude weather activity that can’t be seen as well from sources such as the NEXRAD radar based in Peachtree City and the Terminal Doppler Weather Radar at Hartsfield-Jackson Atlanta International Airport, Trostel added.

For Georgia Gwinnett College, the radar will provide real-world examples of how physics and engineering concepts are applied. Data from the radar system, which will be accessible to the college, would also provide students with a new research opportunity that is a required component of the science curriculum.

“Our Physics and Pre-Engineering courses already cover the concepts of electromagnetic waves and the Doppler effect, which are the main principles behind radar,” said Neelam Khan, the Chair of the Physics and Pre-Engineering Department at Georgia Gwinnett College. “Through this radar, students will learn about the applications of Doppler radar to track weather patterns and visualize the data it produces.”

Connections with the University of Georgia, Georgia Tech, and the Georgia Tech Research Institute will also help broaden the experience of students at Georgia Gwinnett College, a four-year public college that was founded in 2005 and now has more than 11,000 students, Khan said. All three collaborating institutions are part of the University System of Georgia.

The Furuno WR-2100 X-band weather radar was purchased in 2022 using funding from Georgia Tech and the University of Georgia. It was initially placed atop a building on GTRI’s Smyrna campus, where it underwent tests while Trostel and Shepherd searched for the best location for a more permanent installation. The researchers have used the device to look at storms, generate data, and practice data analysis.

The Georgia Gwinnett location was selected because the campus location enables coverage for both Atlanta and Athens. The Gwinnett County location also helps fill potential gaps in northeast Georgia and brings a unique resource for GGC’s educational mission. The radar is now fully operational.

Owning and operating a weather radar is unusual for colleges and universities, but not surprising given the impact of severe weather in Georgia, Shepherd noted.

“Weather is a significant threat to our lives and property, particularly in Georgia,” Shepherd said. “While we have an adequate radar network from the National Weather Service and the Terminal Doppler Weather Radar, there are often gaps and needs for higher resolution, more detailed information. Our institutions have entered very rare air in owning and operating a weather radar that will benefit our students, the state, and our research enterprise in the University System of Georgia institutions.”

Because they’ll be able to control the geographic areas covered by the radar and the level of detail in the information gathered, the new weather radar will be a useful tool not only for tracking storms, but also for conducting research, Trostel said. Its ability to provide highly detailed information even allows it to track the movement of insects and birds, for example.

“We can see things at higher resolution, and we have complete control over how we manipulate the radar beam to look at things,” Trostel said. “The radar is much less expensive to purchase and operate than other weather radars, which makes it a budget-friendly tool for university research.”

The instrument cost approximately $150,000 to purchase and was acquired through donations and internal funding at UGA and Georgia Tech. Shepherd and Tom Mote, the founding director of the Atmospheric Sciences Program at UGA, contributed funds from institutional research budgets. A significant financial gift was also acquired from Elaine Neal, an alumna of the UGA Department of Geography and longtime donor to the University of Georgia.

At Georgia Tech, funds were provided by GTRI’s Sensors and Electromagnetic Applications Laboratory, and the Aerospace, Transportation and Advanced Systems Laboratory, the Georgia Tech Office of the Executive Vice President for Research, and Georgia Tech’s College of Engineering.

Writer: John Toon (john.toon@gtri.gatech.edu)
GTRI Communications
Georgia Tech Research Institute
Atlanta, Georgia USA

Terracell is roughly the size of a paperback book and uses microbes found in soil to generate energy for low-power applications. 

Previous designs for soil microbial fuel cells required water submergence or saturated soil. Terracell can function in soil with a volumetric water content of 42%

Terracell placed in Fast Company’s list of the best sustainability-focused designs of 2024.

Researchers at Northwestern University lead the multi-institution research team that designed Terracell.

Josiah Hester, an associate professor in Georgia Tech's School of Interactive Computing who previously worked at Northwestern, directs the Ka Moamoa Lab, where the project was conceived. 

The team includes researchers from Northwestern, Georgia Tech, Stanford, the University of California-San Diego, and the University of California-Santa Cruz.

Their research was published in January in the Proceedings of the Association for Computing Machinery on Interactive, Mobile, Wearable, and Ubiquitous Technologies. The researchers will also present this work at the ACM international joint conference on Pervasive and Ubiquitous Computing (Ubicomp), Oct. 5-9.

According to the Fast Company website, the Innovation by Design Awards recognize “designers and businesses solving the most crucial problems of today and anticipating the pressing issues of tomorrow.” Winners are published in Fast Company Magazine and are honored at the Fast Company Innovation Festival in the fall.

“Terracell could reduce e-waste and extend the useful lifetime of electronics deployed for agriculture, environmental monitoring, and smart cities,” Hester said. “We were honored to be recognized for the design innovation award. It is a testament to the promise of sustainable computing and our hope for a more sustainable world.”

For more information about Terracell, see the story featured on Northwestern Now, or visit the project’s website.

Kostka serves as Tom and Marie Patton Distinguished Professor and associate chair for Research in Biological Sciences with a joint appointment in Earth and Atmospheric Sciences at Georgia Tech.

Each year, AGU recognizes individuals and teams for their accomplishments in research, education, science communication and outreach. “These recipients have transformed our understanding of the world, impacted our everyday lives, improved our communities and contributed to solutions for a sustainable future,” shared AGU President Lisa J. Graumlich and the organization’s Honors and Recognition Committee in a September 18 announcement.

Kostka is an expert in ecosystem biogeoscience, which couples biogeochemistry with microbiology to uncover the role of microorganisms in ecosystem function — along with determining the mechanisms by which environmental perturbations (climate change) alter microbially-mediated biogeochemical cycles.

“To be named as a fellow of the American Geophysical Union is very special to me, in particular because it signifies the trust and respect of my colleagues,” Kostka says. “I am honored to stand on the shoulders of such a great group of researchers that have moved this field forward.” 

“Of course,” he adds, “I would not be in this position without amazing mentors, colleagues, students, and postdocs from whom I have learned so much.”

“I want to congratulate Dr. Kostka on this tremendous honor,” adds Biological Sciences Professor and Chair Todd Streelman. “His passion for ecology and understanding the impacts of environmental change on ecosystems is evident. I am delighted that his significant contributions have been recognized by his colleagues in the American Geophysical Union.” 

Honorees will be celebrated at AGU24, which will convene more than 25,000 attendees from over 100 countries in Washington, D.C. this December under the theme “What’s Next for Science.”

Led by a team of University of Alaska Fairbanks and Georgia Tech researchers that includes School of Earth and Atmospheric Sciences Professor Rodney Weber, the researchers' latest findings are published in Science Advances. 

In the study, the team leveraged state-of-the-art thermodynamic tools used in global air quality models, with an aim to better understand how reducing the amount of primary sulfate in the atmosphere might affect sub-zero air quality conditions.

The project stems from the 2022 Alaskan Layered Pollution and Chemical Analysis project, or ALPACA, an international project funded by the National Science Foundation, the National Oceanic and Atmospheric Administration and European sources. It is part of an international air quality effort called Pollution in the Arctic: Climate Environment and Societies.

Read the full story in the University of Alaska Fairbanks newsroom.

Commemorating the enthusiasm and vision of the organization’s founders, the Founder's Prize is awarded to an outstanding early career ecologist who is beginning to make a significant contribution to the science of ecology. 

Stroud is being recognized for his groundbreaking research as an integrative evolutionary ecologist, investigating how ecological and evolutionary processes may underlie patterns of biological diversity at the macro-scale.

Earlier this year, Stroud was also named an Early Career Fellow by the Ecological Society of America (ESA). He is the first person to win both seminal early career researcher awards from ESA and BES — the two largest and most influential ecological societies in the world — in the same year. 

“The British Ecological Society could not have selected a more deserving recipient of this prestigious award,” says David Collard, senior associate dean in the College of Sciences and professor in the School of Chemistry and Biochemistry. “James is a model of faculty excellence in his innovative research, commitment to education, and leadership in the field. We look forward to his continued impact in driving forward the field of ecology.”

Stroud's highly multidisciplinary research combines field studies with macro-ecological and evolutionary comparative analyses, primarily studying lizards. His current interests focus on measuring natural selection in the wild, often leveraging non-native lizards as natural experiments in ecology and evolution.

"I am completely overwhelmed and honored to receive this award,” Stroud says, “and especially from a society very close to my heart. My first ever scientific conference was a BES meeting.”

Stroud will be presented with an honorarium prize during a ceremony at the BES Annual Meeting in Liverpool this December. The meeting brings together over 1,000 ecologists to discuss the latest advances in ecological research. For more than a century, the BES has been championing ecology through its journals, meetings, grants, education, and policy work.

“This award really symbolizes the amazing support and guidance I have received throughout my career from an incredible network of mentors and colleagues,” Stroud adds, “and now, the amazing people I get to work with in my own research group, as well.”

###

About the British Ecological Society

The British Ecological Society (BES), founded in 1913, is the oldest ecological society in the world, championing the study of ecology for over a century. With over 7,000 members in more than 120 countries, the BES is the largest scientific society for ecologists in Europe and promotes the study of ecology through its six academic journals, conferences, grants, education initiatives and policy work. 

About Georgia Tech

The Georgia Institute of Technology, or Georgia Tech, is one of the top public research universities in the U.S., developing leaders who advance technology and improve the human condition. The Institute offers business, computing, design, engineering, liberal arts,  and  sciences degrees. Its more than 47,000 undergraduate and graduate students represent 54 U.S. states and territories and more than 143 countries. They study at the main campus in Atlanta, at instructional sites around the world, or through distance and online learning. As a leading technological university, Georgia Tech is an engine of economic development for Georgia, the Southeast, and the nation, conducting more than $1 billion in research annually for government, industry, and society. 

“This is not a story with just one punch line,” said He, assistant professor in Georgia Tech’s School of Earth and Atmospheric Sciences, whose most recent work appeared in the journal Nature Climate Change. “I didn’t really expect to find anything this interesting—there were a few surprises.”

He is principal investigator of the Climate Modeling and Dynamics Group, which combines expertise in physics, mathematics, and computer science to study climate change. The team’s latest study, a collaboration with Mississippi State University and Princeton University, examines hydrological sensitivity in the planet’s three tropical basins: the central portions of both the Pacific and Atlantic oceans and most of the Indian Ocean, an equatorial belt girding the Earth between the Tropic of Cancer (north) and Tropic of Capricorn (south).

Hydrological sensitivity (HS) refers to the precipitation change per degree of surface warming. Hydrological sensitivity is a key metric researchers use in evaluating or predicting how rainfall will respond to future climate change. Positive HS indicates a wetter climate, while negative HS indicates a drier climate.

“The projection of hydrological sensitivity and future precipitation has been widely investigated, but most studies look at global averages — nobody had yet looked closely at each individual basin,” He said. “And the real impact on global climate change will come from the regional scale.”

In other words, what happens in tropical waters has far-reaching effects.

Long Reach of the Tropics

He wanted to specifically examine the tropical basins because they already have a well-known influence on remote locations: El Niños and La Niñas. These weather patterns that shift every couple of years are examples of tropical oceanic precipitation changes that have a global impact.

“These precipitation changes create heating and cooling in the atmosphere that set off atmospheric waves affecting remote climates across the globe,” He said. During El Niño winters, for example, the southeastern U.S. typically gets more precipitation than usual.

But El Niños and La Niñas are naturally occurring, whereas the tropical precipitation changes He identified are projected as outcomes of human-induced global warming — a simulation, part of a climate model.

Climate models are an essential tool for He and other researchers, who use them to simulate possible future scenarios. These are computer programs that rely on complex math equations to project the atmospheric interactions of energy and matter likely to occur across the planet.

What surprised He was the substantial difference in HS between tropical basins. Essentially, in He’s model the Pacific tropical basin has an HS more than twice as large as the Indian basin, with the Atlantic basin projected as a negative value.

“It was surprising because these differences can’t be explained by the mainstream theories on tropical precipitation changes,” He said. “In other words, none of the theories we knew would have predicted it.”

Modeling the Sensitive Future

The effects of such diverging hydrological sensitivity would be widespread, according to He. For example, his experiments suggest that the continental U.S. will get wetter, and the Amazon will become drier.

“If these model projections are true, these effects will materialize as the climate continues to warm,” said He, who can’t predict exactly how long it will be before these effects can be detected in actual observations of our three-dimensional world.

That’s because they only have reliable observations of oceanic tropical precipitation since 1979. Precipitation changes over decades are strongly affected by internal climate variability — that is, climate change that isn’t caused by humans. When human-induced precipitation changes are significantly greater than internal climate variability, we should be able to detect the wide-ranging effects of diverging hydrological sensitivity.

But the challenges of continuing climate change do not allow the luxury of waiting until every aspect of climate projection becomes a reality, He noted, adding, “We are relying on climate projections to some extent to guide our adaptation and mitigation plans. Therefore, it is important to study and understand the climate projections.”

Based on the scenario projected by climate models used in He’s research, the effects of El Niños and La Niñas on remote climates will become stronger.

“What we can imply is that this strengthening would be partly due to the diverging HS among tropical basins,” He concluded.

While the future effects of HS on El Niños and La Niñas weren’t discussed in this study, He believes it would make a very interesting research subject going forward.

For the next 378 days, Brockwell, a 1999 civil engineering graduate, and three other crew members participated in the study designed to gain insights into the challenges of deep space exploration and its effects on human health and performance. The crew performed robotic operations, habitat maintenance, agricultural activities, and simulated surface walks in the "sandbox" with the assistance of virtual reality while enduring intentional resource limitations, isolation, and confinement. 

A structural engineer by day, he has always dreamed of space travel, and when a fellow Yellow Jacket alerted Brockwell to the application for the CHAPEA mission, he seized the opportunity.  

"Sometimes, you get chances in your lifetime, and if I don't get a chance to actually go to Mars, if I can take this chance to help us get there as a planet, I'm honored," he said. 

Once inside the 1,700-square-foot habitat, Brockwell's role as the CHAPEA mission's flight engineer focused on infrastructure, building design, and organizational leadership. As much as he learned from his tasks throughout the mission, like anticipating possible failure points and contingency planning, NASA learned even more through physical and cognitive monitoring.  

"There was a lot of science, but some of the science was focused on us as the participants — our physiology and our performance — to make the mission as realistic as possible," he said.  

Communication is a key element in space travel. Getting a message from Mars back to family and friends or mission control on Earth took 20 minutes on average for the crew inside the habitat, testing their ability to isolate. Without constant communication with the outside world, the crew fostered camaraderie through team activities and celebrated birthdays and holidays together. Brockwell's ingenuity wasn't limited to official tasks; he used a 3D printer to create a bracket for mounting a mini-basketball hoop.  

Meals inside the habitat mirrored the shelf-stable food system of the International Space Station. While cultivated crops like tomatoes supplemented their main supply, Brockwell says there is a common misconception about astronaut food.  

"I say with all sincerity, it was delicious." His favorite dish was a peanut chicken and wild rice mix, but the crew often got creative by mixing soups and proteins to create new dishes. 

Other than the food, the biggest surprise to Brockwell was how quickly the mission was completed.    

"I hoped and thought it would be that way, but we proved that a well-comprised crew can have a good time while doing this. There were a lot of clichéd expectations that there would be issues that we just didn't have. I think we demonstrated that a mission like this can be a huge success and an enjoyable, positive experience, not just something to be endured," he said.  

Brockwell says that his time at Georgia Tech allowed him to learn the fundamentals of engineering principles and taught him to keep an open mind when exploring how things work. After receiving a master's degree in aeronautics from the California Institute of Technology and completing the CHAPEA mission, he believes systems engineering can aid deep space exploration efforts for the next generation.  

"Thinking about the effect of every component on every other component and the emergent properties from complex systems is crucial. I think that systems thinking is going to become increasingly important. Ecology and ecological thinking need to be part of it, especially for aerospace. If you're thinking about deep space exploration, an understanding of ecological principles and closed-loop systems will be key," he said.  

At the end of the mission, Brockwell savored the sights and smells of Earth for the first time in over a year, saying that's what he missed the most. But if the opportunity arose to take the 152-million-mile flight to Mars, he'd be on the first ship out.   

When they initially studied this process, Stathatou and Athanasiou found that yeast can effectively and rapidly remove trace lead — at challenging initial concentrations below one part per million — from drinking water. Conventional water treatment methods either fail to eliminate lead at these low levels or result in high financial and environmental costs to do so. In a paper published today in RSC Sustainability, the researchers show how this process can be scaled.

“If you put yeast directly into water to clean it, you will need an additional treatment step to remove the yeast from the water afterward,” said Stathatou, a research scientist at the Renewable Bioproducts Institute and an incoming assistant professor at the School of Chemical and Biomolecular Engineering. “To implement this process at scale without requiring additional separation steps, the yeast cells need a housing.”

“Additionally, because yeast is abundant— in some cases, brewers even pay companies to haul it away as a waste byproduct — this process gives the yeast a second life,” said Athanasiou, an assistant professor in the Daniel Guggenheim School of Aerospace Engineering. “It’s a plentiful low, or even negative, value resource, making this purification process inexpensive and scalable.”

To develop a housing for the yeast, Stathatou and Athanasiou partnered with MIT chemical engineers Devashish Gokhale and Patrick S. Doyle. Gokhale and Stathatou are the lead authors of this new study that demonstrates the yeast water purification process’s scalability.

“We decided to make these hollow capsules— analogous to a multivitamin pill — but instead of filling them up with vitamins, we fill them up with yeast cells,” Gokhale said. “These capsules are porous, so the water can go into the capsules and the yeast are able to bind all of that lead, but the yeast themselves can’t escape into the water.”

The yeast-laden capsules are sufficiently large, about half a millimeter in diameter, for easy separation from water by gravity. This means they can be used to make packed-bed bioreactors or biofilters, with contaminated water flowing through these hydrogel-encased yeast cells and coming out clean.

Stathatou and Athanasiou envision using these hydrogel yeast capsules in small biofilters consumers can put on their kitchen faucets, or biofilters large enough to fit municipal or industrial wastewater treatment systems. But to enable such scalability, the yeast-laden capsules’ ability to withstand the force generated by water flowing inside such systems needed to be studied as well.

To determine this, Athanasiou tested the capsules’ mechanical robustness, which is how strong and sturdy they are in the presence of waterflow forces. He found they can withstand forces like those generated by water running from a faucet, or even flows like those in water treatment plants that serve a few hundred homes. “In previous attempts to scale up biosorption with similar approaches, lack of mechanical robustness has been a common cause of failure,” Athanasiou said. “We wanted to make sure our work addressed this issue from the very beginning to ensure scalability.”

“After assessing the mechanical robustness of the yeast-laden capsules, we made a prototype biofilter using a 10-ml syringe,” Stathatou explained. “The initial lead concentration of water entering the biofilter was 100 parts per billion; we demonstrated that the biofilter could treat the contaminated water, meeting EPA drinking water guidelines, while operating continuously for 12 days.”

The researchers hope to identify ways to isolate and collect specific contaminants left behind in the filtering yeast, so those too can be used for other purposes.

“Apart from lead, which is widely used in systems for energy generation and storage, this process could be used to remove and recover other metals and rare earth elements as well,” Athanasiou said. “This process could even be useful in space mining or other space applications.”

They also would like to find a way to keep reusing the yeast. “But even if we can’t reuse yeast indefinitely, it is biodegradable,” Stathatou noted. “It doesn’t need to be put into an industrial composter or sent to a landfill. It can be left on the ground, and the yeast will naturally decompose over time, contributing to nutrient cycling.”

This circular approach aims to reduce waste and environmental impact, while also creating economic opportunities in local communities. Despite numerous lead contamination incidents across the U.S., the team’s successful biosorption method notably could benefit low-income areas historically burdened by pollution and limited access to clean water, offering a cost-effective remediation solution. “We think there’s an interesting environmental justice aspect to this, especially when you start with something as low-cost and sustainable as yeast, which is essentially available anywhere,” Gokhale says.

Moving forward, Stathatou and Athanasiou are exploring other uses for their hydrogel-yeast purification method. The researchers are optimistic that, with modifications, this process can be used to remove additional inorganic and organic contaminants of emerging concern, such as PFAS — or “forever” chemicals — from the water or the ground.

Citation: Devashish Gokhale, Patritsia M. Stathatou, Christos E. Athanasiou, and Patrick S. Doyle, “Yeast-laden Hydrogel Capsules for Scalable Trace Lead Removal from Water,” RSC Sustainability. DOI:

Funding: Patricia Stathatou was supported by funding from the Renewable Bioproducts Institute at Georgia Tech. Devashish Gokhale was supported by the Rasikbhai L. Meswani Fellowship for Water Solutions and the MIT Abdul Latif Jameel Water and Food Systems Lab (J-WAFS).

He joins the ranks of nine newly appointed ESA Fellows and ten 2024-2028 ESA Early Career Fellows, elected for "advancing the science of ecology and showing promise for continuing contributions" and recently confirmed by the organization's Governing Board.

Stroud, an Elizabeth Smithgall Watts Early Career Assistant Professor in the School of Biological Sciences, is an integrative evolutionary ecologist who investigates how ecological and evolutionary processes may underlie patterns of biological diversity at the macro-scale.

He primarily studies lizards and his research is highly multidisciplinary, combining field studies with macro-ecological and evolutionary comparative analyses. Stroud’s current interests are particularly focused on measuring natural selection in the wild, often taking advantage of non-native lizards as natural experiments in ecology and evolution.

Earlier this month, Stroud presented his recent work at the inaugural College of Sciences Frontiers in Science: Climate Action Conference and Symposium, joining more than 20 faculty experts and 100 stakeholders from across all six colleges at Georgia Tech to discuss climate change, challenges, and solutions.

Stroud joined the Georgia Tech faculty in August 2023. He earned a Ph.D. in Ecology and Evolution from Florida International University.

"I am thrilled to recognize the exceptional contributions of our newly selected Fellows and Early Career Fellows,” says ESA President Shahid Naeem. “Their groundbreaking research, unwavering commitment to mentoring and teaching and advocacy for sound science in management and policy decisions have not only advanced ecological science but also inspired positive change within our community and beyond. We celebrate their achievements and eagerly anticipate the profound impacts they will continue to make in their careers."

ESA will formally acknowledge and celebrate its new Fellows for their exceptional achievements during a ceremony at ESA’s 2024 Annual Meeting in Long Beach, California.

About ESA Fellowships

ESA established its Fellows program in 2012 with the goal of honoring its members and supporting their competitiveness and advancement to leadership positions in the Society, at their institutions, and in broader society. Past ESA Fellows and Early Career Fellows are listed on the ESA Fellows page.

About ESA

The Ecological Society of America, founded in 1915, is the world’s largest community of professional ecologists and a trusted source of ecological knowledge, committed to advancing the understanding of life on Earth. The 8,000 member Society publishes six journals and a membership bulletin and broadly shares ecological information through policy, media outreach, and education initiatives. The Society’s Annual Meeting attracts 4,000 attendees and features the most recent advances in ecological science. Visit the ESA website at https://www.esa.org.

These energy materials — some natural, some manufactured, some a combination — facilitate the conversion or transmission of energy. They also play an essential role in how we store energy, how we reduce power consumption, and how we develop cleaner, efficient energy solutions.

“Advanced materials and clean energy technologies are tightly connected, and at Georgia Tech we’ve been making major investments in people and facilities in batteries, solar energy, and hydrogen, for several decades,” said Tim Lieuwen, the David S. Lewis Jr. Chair and professor of aerospace engineering, and executive director of Georgia Tech’s Strategic Energy Institute (SEI).

That research synergy is the underpinning of Georgia Tech Energy Materials Day (March 27), a gathering of people from academia, government, and industry, co-hosted by SEI, the Institute for Materials (IMat), and the Georgia Tech Advanced Battery Center. This event aims to build on the momentum created by Georgia Tech Battery Day, held in March 2023, which drew more than 230 energy researchers and industry representatives.

“We thought it would be a good idea to expand on the Battery Day idea and showcase a wide range of research and expertise in other areas, such as solar energy and clean fuels, in addition to what we’re doing in batteries and energy storage,” said Matt McDowell, associate professor in the George W. Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering (MSE), and co-director, with Gleb Yushin, of the Advanced Battery Center.

Energy Materials Day will bring together experts from academia, government, and industry to discuss and accelerate research in three key areas: battery materials and technologies, photovoltaics and the grid, and materials for carbon-neutral fuel production, “all of which are crucial for driving the clean energy transition,” noted Eric Vogel, executive director of IMat and the Hightower Professor of Materials Science and Engineering.

“Georgia Tech is leading the charge in research in these three areas,” he said. “And we’re excited to unite so many experts to spark the important discussions that will help us advance our nation’s path to net-zero emissions.”

Building an Energy Hub

Energy Materials Day is part of an ongoing, long-range effort to position Georgia Tech, and Georgia, as a go-to location for modern energy companies. So far, the message seems to be landing. Georgia has had more than $28 billion invested or announced in electric vehicle-related projects since 2020. And Georgia Tech was recently ranked by U.S. News & World Report as the top public university for energy research.

Georgia has become a major player in solar energy, also, with the announcement last year of a $2.5 billion plant being developed by Korean solar company Hanwha Qcells, taking advantage of President Biden’s climate policies. Qcells’ global chief technology officer, Danielle Merfeld, a member of SEI’s External Advisory Board, will be the keynote speaker for Energy Materials Day.

“Growing these industry relationships, building trust through collaborations with industry — these have been strong motivations in our efforts to create a hub here in Atlanta,” said Yushin, professor in MSE and co-founder of Sila Nanotechnologies, a battery materials startup valued at more than $3 billion.

McDowell and Yushin are leading the battery initiative for Energy Materials Day and they’ll be among 12 experts making presentations on battery materials and technologies, including six from Georgia Tech and four from industry. In addition to the formal sessions and presentations, there will also be an opportunity for networking.

“I think Georgia Tech has a responsibility to help grow a manufacturing ecosystem,” McDowell said. “We have the research and educational experience and expertise that companies need, and we’re working to coordinate our efforts with industry.”

Marta Hatzell, associate professor of mechanical engineering and chemical and biomolecular engineering, is leading the carbon-neutral fuel production portion of the event, while Juan-Pablo Correa-Baena, assistant professor in MSE, is leading the photovoltaics initiative.

They’ll be joined by a host of experts from Georgia Tech and institutes across the country, “some of the top thought leaders in their fields,” said Correa-Baena, whose lab has spent years optimizing a semiconductor material for solar energy conversion.

“Over the past decade, we have been working to achieve high efficiencies in solar panels based on a new, low-cost material called halide perovskites,” he said. His lab recently discovered how to prevent the chemical interactions that can degrade it. “It’s kind of a miracle material, and we want to increase its lifespan, make it more robust and commercially relevant.”

While Correa-Baena is working to revolutionize solar energy, Hatzell’s lab is designing materials to clean up the manufacturing of clean fuels.

“We’re interested in decarbonizing the industrial sector, through the production of carbon-neutral fuels,” said Hatzell, whose lab is designing new materials to make clean ammonia and hydrogen, both of which have the potential to play a major role in a carbon-free fuel system, without using fossil fuels as the feedstock. “We’re also working on a collaborative project focusing on assessing the economics of clean ammonia on a larger, global scale.”

The hope for Energy Materials Day is that other collaborations will be fostered as industry’s needs and the research enterprise collide in one place — Georgia Tech’s Exhibition Hall — over one day. The event is part of what Yushin called “the snowball effect.”

“You attract a new company to the region, and then another,” he said. “If we want to boost domestic production and supply chains, we must roll like a snowball gathering momentum. Education is a significant part of that effect. To build this new technology and new facilities for a new industry, you need trained, talented engineers. And we’ve got plenty of those. Georgia Tech can become the single point of contact, helping companies solve the technical challenges in a new age of clean energy.”

On April 18, the College of Sciences hosted more than 20 speakers and panelists from across the Institute and Atlanta community presenting groundbreaking research and discussing innovations and ideas in climate change, challenges, and solutions. 

Georgia Tech President Ángel Cabrera (M.S. PSY 1993, Ph.D. PSY 1995) kicked off the morning sessions by highlighting the Institute’s new Climate Action Plan, which outlines the pathway to achieve net-zero emissions by 2050. Cabrera’s remarks focused on Georgia Tech’s role on the frontlines of research and education informing how we respond to climate challenges — and noted that the Institute’s work must extend beyond our laboratories and classrooms.

“It is essential that we not only do the science, but that we also tell that science to the world,” Cabrera says.

Interdisciplinary inquiry

This year, Frontiers in Science featured an array of climate research and initiatives led by the College of Sciences, fellow colleges across Georgia Tech, and the wider Atlanta community.

Following a three-year hiatus of the Frontiers series, the 2024 edition re-envisioned the signature annual event as a research conference and symposium to convene campus experts — and to incubate seed grant proposals to support the work of early career faculty.

Frontiers previously hosted Nobel laureates and invited thought leaders for individual talks across the College’s six schools, and celebrated milestones like the International Year of the Periodic Table of the Chemical Elements.

“This year, we wanted to showcase what we are doing right here in the College of Sciences and throughout the Institute,” says Susan Lozier, dean of the College of Sciences, Betsy Middleton and John Clark Sutherland Chair and professor in the School of Earth and Atmospheric Sciences. “Our faculty are at the forefront of broadening our knowledgebase and uncovering solutions in areas critical to the planet and our well-being. We wanted to uplift that work and see what sort of connections could be made.”

Connections and collaboration were key themes of the day as faculty, staff, students, and alumni participants representing all six Georgia Tech colleges shared research results and ongoing work and discussed collaborative ideas for horizons ahead.

“Scientists alone cannot [create accurate models],” noted Annalisa Bracco, professor in the School of Earth and Atmospheric Sciences and associate chair for Research, who shared her own research alongside Lozier, who presented a version of her 2024 TED Talk on ocean overturning. “Engineers alone cannot do it. We need social scientists, policy makers, communicators.”

The importance of an interdisciplinary approach was reinforced by the Strategic Energy Institute at Georgia Tech (SEI) and Brook Byers Institute for Sustainable Systems (BBISS), which announced an interdisciplinary seed grant funding opportunity for assistant professors with ideas for new climate solutions.

Frontiers in focus

Across three themed sessions, faculty and leadership from the Colleges of Sciences, Engineering, and Design spearheaded talks on the ocean and cryosphere, biodiversity, carbon cycling, coastal wetlands, biofuels production, and beyond.

Panels on climate challenges across community, technological, and policy initiatives were hosted by Georgia Tech Vice President for Interdisciplinary Research and Professor in the School of Biological Sciences and the School of Chemistry and Biochemistry Julia Kubanek.

Following a networking lunch with climate table topics, Georgia Tech Executive Vice President for Research and Professor in the School of Electrical and Computer Engineering Chaouki T. Abdallah (M.S. ECE 1982, Ph.D. ECE 1988) kicked off the afternoon sessions — which also announced the scholarship recipients of a student video competition and featured videos with a pair of alumnae working in meteorology, climate research, and policy.

Afternoon highlights also included discussions on the Georgia Tech Climate Action Plan and Sustainability Next initiative, led by Jennifer Chirico (B.S. MGMT 1997, Ph.D. PUBP 2011), associate vice president of Sustainability for Georgia Tech Infrastructure and Sustainability, and Jennifer Leavey (B.S. CHEM 1995), assistant dean for Faculty Mentoring in the College of Sciences and interim assistant director for Interdisciplinary Education in the Brook Byers Institute for Sustainable Systems.

Although many of the presentations provided a stern outlook of the state of our ecosystems, the conference concluded with a sense of hope. This optimism was grounded in the range of opportunities that exist to address climate challenges — thanks, in part, to the body of knowledge and solutions being tested and explored by Georgia Tech researchers.

At the end of the day, Katie Griffin, a first year undergraduate student in Environmental Science, read Amanda Gorman’s poem Earthrise and provided this reminder:

All of us bring light to exciting solutions never tried before
For it is our hope that implores us, at our uncompromising core,
To keep rising up for an earth more than worth fighting for.

Experience the event in pictures with the College of Sciences’ Flickr account, and discover the highlights through the day’s live tweets on College of Sciences’ X account.

Georgia Tech alumna Feifei Qian (M.S. PHYS 2011, Ph.D. ECE 2015), an assistant professor of electrical and computer engineering at the USC Viterbi School of Engineering and School of Advanced Computing, leads the NASA LASSIE project alongside co-investigator Frances Rivera-Hernández, an assistant professor in the School of Earth and Atmospheric Sciences at Georgia Tech. Sharissa Thompson, a graduate student at Georgia Tech, is a student intern on the NASA Curiosity Rover project.

The Palmer Glacier on Oregon’s Mount Hood isn’t the Moon, but it’s a good place to practice.

Some 6,000 feet up the snow-capped mountain, located about 70 miles east of Portland, a multi-disciplinary team from the University of Southern California, Texas A&M University, Georgia Institute of Technology, Oregon State University, Temple University, the University of Pennsylvania, and NASA gathered to turn loose a four-legged robot named Spirit into the wild.

The team that included engineers, cognitive scientists, geoscientists and planetary scientists field-tested Spirit as part of the LASSIE Project: Legged Autonomous Surface Science in Analog Environments. Spirit covered a variety of challenging terrains, using his spindly metal legs to amble over, across and over around shifting dirt, slushy snow and boulders during five days of testing in summer 2023. Sometimes he expertly traversed the hillside, while at other moments he teetered and fell over. All part of the process to better understand the substrate properties and learn to better walk on these extreme terrains. The practice time Spirit logged produced data that will be used to train future robots for use on intergalactic surfaces, like Earth’s moon and perhaps planets in our solar system.

“A legged robot needs to be able to detect what is happening when it interacts with the ground underneath, and rapidly adjust its locomotion strategies accordingly,” says Feifei Qian, an assistant professor of electrical and computer engineering at the USC Viterbi School of Engineering and School of Advanced Computing, which is leading the project funded by NASA. “When the robot leg slips on ice or sinks into soft snow, it inspires us to look for new principles and strategies that can push the boundary of human knowledge and enable new technology. We learn and improve from the observed failures.”

Watch this 5-minute video produced for the team by documentary filmmaker Sean Grasso.

Spirit learns from every step.

“Similar to the way that when we walk on uneven surfaces as humans, we can sort of detect how the ground is shifting beneath our feet, a legged robot is capable of the exact same thing,” says Cristina Wilson, a cognitive scientist at Oregon State University.

The more machines the merrier

Qian’s group doesn’t intend to stop at just one robot, wandering the wilderness alone. She and her former colleagues at Penn, Cynthia Sung, Mark Yim, Daniel Koditschek, and Douglas Jerolmack, received a two-year $2 million grant from NASA they’re calling the TRUSSES Project: Temporarily, Robots Unite to Surmount Sandy Entrapments, Then Separate. They want to help the space agency put teams of robots on the Moon and have them work together on tasks. They would take the knowledge they came in with, and the data they collect on the mission, and communicate those details to each other.

“They would sense how the ground conditions are,” Qian says, “and then exchange that information with one another, and collectively form a map of locomotion risk estimation. The team of robots can then use this traversal risk map to inform their planetary explorations: ‘There is an extremely soft sand patch that might be high-risk for wheeled rovers. Come over here, this might be a safer area.’ ”

The robots in mind for this kind of work would be more than just Spirit: There would be a wheeled rover (great for payload and long distances), a Hexapedal robot (intermediate payload but better mobility than the wheeled), and dog-like ones like the rugged version of Spirit (highest mobility, shorter distances). And here’s the coolest part of that research, the part that sounds like something the Transformers would do. Or at least a team of castaways on “Survivor”: If one got in a jam, made immovable by loose dirt or a rock or a ravine, his bot-mates would arrive and link together and form a bridge, or a pyramid, to hoist their pal to safety. And then back to work.

“When they plan for the strategy to pull the robot up, they’ll decide what force to exert and what position the robot should go to, while also compiling the terrain information,” Qian says. “That’s the key idea of how to use these capabilities: to both prevent and recover from locomotion failures in extreme terrain.”

Back to Mount Hood

Spirit gets around a variety of natural environments, to learn how to better move on challenging terrains. Qian has let him off his leash on Southern California beaches, and the multi-university team has field-tested him in the soft granules of White Sands National Park in New Mexico. But the video shot at Mount Hood shows just how otherworldly that landscape can be in these planetary-analogue environments. This provides Spirit with plenty of opportunities to learn on earth, before potentially exploring other planets.

“You look around us, it would be very hard to drive up this,” Ryan Ewing, a geologist from NASA Johnson Space Center, shares. “But as a legged being, as humans, we can step around it easily. A dog could walk around it easily. So this project is the proving ground that we can enable new science and new mobility on environments that are like other planets.”

In fact, a dog is indeed frisking about: Howard, Wilson’s German shepherd, wandered about, with the kind of agility Spirit could only dream of.

“We are going to observe how Howard moves in different types of snow and ice conditions,” Qian says. “What exactly, out of those combined motions, allows him to succeed on challenging terrain?”

The LASSIE Project calls for two more trips for Spirit: to Mount Hood this summer, and to White Sands next year. The TRUSSES team, from USC and Penn, also plans to visit White Sands next year with Spirit and the other, new, multi-tasking robots. Imagine WALL-E with friends.

—

The NASA PSTAR (Planetary Science and Technology Through Analog Research) number for this project is 80NSSC22K1313.

“The effects of climate change are felt in every country with the brunt and burden of an unmanaged climate crises threatening to set back global health progress by eroding decades of poverty eradication and health equity efforts worldwide,” said Dr. Rebecca Martin, EGHI director of Emory Global Health Institute.  “Students are an important partner in our work as a global community to mitigate the impacts of climate change on health, safety, and security.”

The EGHI/GT Global Health Hackathon is a partner event between EGHI and CREATE-X. It provides multidisciplinary student teams from Emory University and the Georgia Institute of Technology an opportunity to create technology-based product solutions for global health problems. The target for this fall’s event was creating solutions that address urban flooding, urban heat, or global sea level rise in densely populated, low-resource urban settings. Prizes included $4,000 and a golden ticket into CREATE-X Startup Launch for first place winners, $3,000 for second place winners, $2,000 for third place winners, and $500 each for two honorable mention winners.

“This hackathon continues to be a wonderful partnership between our two institutions that gives these talented students the platform and support to put forward solutions to the most pressing issues we face today,” Rahul Saxena, director of CREATE-X, said. “Each hackathon, I’m increasingly impressed with their ingenuity and their dedication to build something of impact.”

Check out the event program on the EGHI website and see photos from the event on the CREATE-X Flickr account. The full list of the winners of this year’s event includes:

1st Place: iManhole

An integrated system that gathers real-time data from manholes and uses machine learning algorithms to predict flooding to manage traffic and evacuation routes

Team Members: Imran Shah, Leonardo Molinari, and Jiaqi Yang 

2nd Place: Canopy

A climate-tech software platform for democratizing climate analytics using machine learning for urban development planning.

Team Members: Deesha Panchal, Kruthik Ravikanti, Vaibhav Mishra, Nicholas Swanson, Jennifer Samuel, and Vaishnavi Sanjeev

3rd Place: Floodwise

A package of effective simulations and an informed chatbot that help facilitate wise decisions during floods.

Team Members: Ansh Gupta, Dimi Deju, Mukund Chidambaram, and Sahit Mamidipaka 

Honorable Mention

Conquering Heat Islands

Process and hardware that uses excess solar power to mine crypto

Team Members: Rida Akbar, DJ Louis, Edward Zheng, Dmitri Kalinin, and Jade Bondy         

Real-Time Computational Modeling of Urban Flooding and Evacuation in Local Atlanta Communities

Integrated system to gather real-time data from manholes and use machine learning algorithms to predict flooding and optimize traffic/evacuation.

Team Members: Imran Shah, Leonardo Molinari, and Jiaqi Yang

Shah noted that too often, many people settle for "good enough" in problem-solving and stop short of seeking comprehensive solutions.  

Drawing on his expertise after leading the U.S. response to the 2010 earthquake in Haiti, the Ebola outbreak in West Africa, and working to increase access to immunizations worldwide, Shah outlined the framework of a "big bet." It begins with identifying innovative solutions and building broad alliances to transform the lives of large numbers of people.  

"If there's one message I hope people take away from the book, it's that these problems are actually solvable," he said. "If 50% of the world's global birth cohort is not getting vaccinated and immunized from simple diseases, it may take 20 years and $30 billion, but we're going to solve the problem of universal childhood immunization. If an Ebola pandemic is ravaging West Africa and threatening the rest of the world, we're not going to settle for what we can do. We're going to really study the issue, invent new solutions, and engineer new solutions." 

Georgia Tech's mission to advance technology and improve the human condition was on display throughout the Covid-19 pandemic as testing infrastructure and contingency plans were created and implemented. Cabrera and Shah discussed how such crises give way to creativity in developing solutions and how the Institute can use the same ambition to lead the world through the next decade's problems.  

"Coming to Georgia is so exciting because what's happening in the state is very much the epicenter of clean technology and jobs — power, manufacturing, science, and technology all coming together to shape the future. The question is, are you going to shape a future that solves the problems we face? Or are we going to shape a future that just serves the human desire for luxury and optimizing for those who have plenty? That's a set of judgments that's in your hands," he said. "To me, this is a great institution to be a part of because you have the position to be problem solvers." 

Before the public conversation, Shah participated in a faculty roundtable discussion about combating climate change — a primary goal of the Rockefeller Foundation.  

When thinking of their own "big bets" or those that have a global impact, Shah encouraged students to simplify the problem they are trying to solve and apply what they've learned at Georgia Tech to change the world for the better.  

"I'm a big believer that you all, especially students, can be change agents within whatever institutions you go to when you leave this great one, and I hope the book offers a bit of a playbook for how to do that," he said. "Asking simple questions is a gift we all tend to lose as we grow up professionally, but I hope you will retain it."

Watch the full conversation.