When most people think of hurricanes, they picture howling winds tearing off roofs and snapping trees. But for Ali Sarhadi, a Brook Byers Institute for Sustainable Systems (BBISS) Faculty Fellow, assistant professor in the School of Earth and Atmospheric Sciences, and director of the Climate Risk and Extreme Dynamics Lab, the real killer is often less visible. “People think that hurricanes are about wind, but sometimes that’s not the whole story,” he said. “The majority of fatalities are coming from the water, not the wind.”

Supported by two Sustainability Next Seed Grants, Sarhadi’s work draws on climate science, fluid physics, engineering, and artificial intelligence. He’s using AI-powered, physics-informed models to better anticipate water hazards that can cripple cities and power grids in both coastal and inland communities.

Rethinking Hurricane Risk

Sarhadi focuses on compound flooding, the dangerous interaction between storm surge, torrential rainfall, and river flooding that increasingly defines hurricanes. He points to Hurricane Mitch, which hit Central America in 1998, as a stark example, noting that more than 12,000 people died, “all from freshwater flooding — none from wind,” he said.

His work has shown how climate change and sea-level rise are reshaping flood risk from storms like Hurricane Sandy, which devastated New York and New Jersey in October 2012. In the current climate, a Sandy-level natural disaster has a recurrence period of roughly once every 150 years. But that is changing fast. “Because of climate change and sea-level rise, by the middle of this century, the same level of flooding is likely to occur once every 60 years. By the end of the century, that goes up to once every 30 years,” he says. “Hurricane Sandy caused about $70 billion in damage. Imagine experiencing that kind of destruction every 30 years.”

Since 1970, Sarhadi notes, damage from tropical cyclones has increased by about 380% globally, a trend driven by the combined effect of stronger storms and more people and infrastructure being located in harm’s way.

Physics-Informed AI: Street-Level Flood Warnings

While storm forecasting has improved dramatically in recent decades, Sarhadi argues, “We’re in good shape in terms of track forecasting, and we’re getting better at rapid intensification forecasting. But what is missing is the hazard part, and specifically the water part. That’s the number one killer.”

His lab is developing AI models tightly coupled with physics-based simulations to forecast hurricane-induced flooding at unprecedented resolution.

Using Hurricane Sandy as a test case, his team showed that by integrating physics-based surge and rainfall models with generative AI, they could forecast building-level flood depths three to five days before landfall. “We could predict that a storm was surge-dominant and estimate how much flooding could happen at the level of each building with an accuracy beyond 90%,” he says.   

Those extra days, and that level of granularity, could give emergency managers and local leaders the information they need to order earlier evacuations, pre-stage resources, and protect critical infrastructure. “We hope by combining AI and physics-based models we can come up with faster, more accurate modeling, first, to save lives, and then to minimize the economic damage,” Sarhadi says.

Targeting Georgia’s Coastline 

Although much of the public’s attention focuses on the Gulf Coast and megacities on the Eastern Seaboard, Georgia’s coastline is also highly vulnerable to surge and compound flooding. Sarhadi is collaborating with Georgia Tech for Georgia’s Tomorrow to model risk in places like Savannah and the surrounding coastal region. “We’re working to come up with good long-term solutions for protecting coastal communities and infrastructure,” he says.

Events like Hurricane Helene in 2024, which triggered extended blackouts in Georgia and lethal flooding in western North Carolina, underscore how far inland these risks can reach. “People think hurricanes are just a problem for coastal areas,” Sarhadi says. “But even if you are far from a coastline, you can be at risk when saturated soils, torrential rain, and river flooding combine.”

Building Climate-Resilient Power Grids and Cities

Sarhadi’s work doesn’t stop at forecasting. A central focus of his research is climate-resilient infrastructure, particularly the power grid. His team is exploring digital twin modeling — virtual replicas of energy and infrastructure systems. “When you have a digital twin of your grid, you can run that hurricane through it and identify which substations or power lines are more vulnerable,” he says, explaining that this knowledge could trigger utility crews to fix or reinforce power lines ahead of storms.

Looking decades ahead, these tools could help utilities and planners prioritize where to upgrade aging infrastructure as hurricanes intensify and water levels rise. “We know hurricanes are getting more intense, and our infrastructure is aging,” Sarhadi said. “By combining engineering, climate science, and AI, we’re trying to design better adaptation plans so our communities and power systems are more resilient in the future.”

Bruce brings more than two decades of senior executive experience at the intersection of global partnerships, institutional growth, and cross-sector collaboration spanning academia, philanthropy, government, and industry. Most recently, he served as senior expert and strategic advisor to the C-Suite at Conservation International on AI-enabled sustainability innovation. Before Conservation International, Weinelt served as Vice President of Global Growth at Schmidt Futures, where he founded the Global Growth function and served as chair of the Quad Fellowship.

Earlier, Weinelt spent a decade at the World Economic Forum, most recently as co-head of Partner Development for North America and Europe and a member of the North America Executive Team. He also led the Forum's multiyear Digital Transformation initiative, advising six national governments on digital readiness. In addition, he served as head of the Global Future Council on Space, shaping global space governance through frameworks such as the Space Sustainability Rating. He is a regular speaker and contributor to global media and convenings and has contributed to publications including Klaus Schwab's The Fourth Industrial Revolution.

“Bruce is a rare hire for an academic institution,” said Beril Toktay, executive director of BBISS, Regents’ Professor, and Brady Family Chair in the Scheller College of Business. "He has built and scaled global partnerships at the highest levels of philanthropy, multilateral diplomacy, and the private sector. His combination of strategic experience, fundraising track record, and convening power across sectors is exactly what BBISS needs as we move into our next chapter.”

Weinelt holds MBAs from the Mason School of Business at the College of William & Mary and IESE Universidad de Navarra. He completed an Executive Education in Global Leadership program offered by Columbia University, Wharton, INSEAD, and the China Europe International Business School, tailored to World Economic Forum Leadership.

As metro Atlanta becomes a magnet for hyperscale data centers, the region faces a twin challenge: securing enough water to cool these facilities while ensuring that wastewater reuse doesn't introduce new public health risks. At Georgia Tech, Katherine Graham, assistant professor of environmental engineering and Brook Byers Institute for Sustainable Systems (BBISS) Faculty Fellow, is working at exactly that nexus, using viruses, bacteria, and advanced analytics to understand how water reuse and cooling systems can support data center growth without compromising community health.

"Data centers are important, and so are their cooling needs. I don't think they're going away," she said. "But there needs to be a lot of investigation to develop guidelines for operating these facilities based on how microbes behave so that we can get the economic benefit and protect the communities where they operate."

Tracing Viruses Across Georgia's Water Systems

Through a Sustainability Next Seed Grant project administered by the BBISS, Graham's lab focuses on water reuse safety, particularly in Georgia communities facing water stress. Her team works with municipal reuse facilities, where, she said, “We look at what comes out of wastewater treatment plants, what exists in the natural waters they discharge treated water into, and what comes into downstream drinking water plants at their intake." Her team is especially interested in pathogens such as viruses and phages.

Phages — viruses that infect bacteria rather than humans — pose no direct human hazard. Still, because they travel through water systems similarly to viruses that can harm people, they serve as powerful ecological markers. "They can be good surrogates for human viruses," she said.

This work builds on Graham's wastewater surveillance experience dating to 2018, which became central during the Covid-19 pandemic. Her lab helped develop actionable public health guidelines to show how wastewater can be used to monitor for mpox outbreaks.

From Cooling Towers to Data Centers: A Proactive Public Health Lens

While Graham's Sustainability Next Seed Grant project isn't exclusively about data centers, the connection to their cooling systems is direct. Data centers need to dissipate massive quantities of heat — typically with water-hungry cooling towers — and are increasingly turning to treated wastewater as a supply.

"Reuse can supply more water of sufficient quality for these cooling systems," Graham said. But beyond the quantity issue lies an underexplored dimension: microbial risk.

Cooling towers have long been linked to Legionnaires' disease, with documented outbreaks occurring miles downwind of a source. "For most healthy people, it may not be a problem," Graham noted, "but for the immunocompromised and elderly, it can be a really big problem." What makes this especially concerning is how little is known. "It's not well quantified. It's not well characterized," she said. "There's been no national study collecting cooling-tower waters and looking at the prevalence of these bacteria."

There is currently no systematic, national effort to characterize the prevalence of Legionella and other opportunistic pathogens in any cooling towers — let alone the potential additional risk of building more cooling systems to accommodate the needs of hyperscale data centers.

BBISS has been central to sharpening her focus here. Exposing Graham to colleagues working on energy and water quantity challenges helped her connect the microbiology dots. "A lot of the data center ideas I've started to think about have been generated by BBISS faculty presenting their own work," she said. "Given that cooling towers are already a problem in pre-AI settings, it seems like a good proactive idea to be aware of the problem going into the age of AI."

Graham is now writing proposals to study microbial communities in cooling towers, analyzing water, air, and biofilms under different operating conditions. Her call to industry is direct: Partner early. "I would be extremely happy to collaborate with anyone interested in this problem. Industry buy-in would be critical — and so helpful — to get it done."

Heat Waves, Infrastructure, and Legionella

Graham's lab also examines how climate-driven extreme heat affects drinking water systems. Working with utilities in the Southwest, her team studies how prolonged heat waves warm distribution-system water, accelerate disinfectant loss, and shape the persistence of microorganisms in drinking water distribution systems.

"We were able to see temperatures above 40 degrees Celsius (105 degrees Fahrenheit) — with a maximum of 52 (126 degrees Fahrenheit) — which is very warm," she said. "Most of the literature refers to testing conducted at much lower temperatures, like room temperature." Such elevated temperatures, combined with nutrients and stagnation, can allow opportunistic pathogens to thrive.

Teaching and Outreach

Graham teaches undergraduate environmental engineering and graduate courses in quantitative microbial risk assessment and public health microbiology. She serves as associate editor for Water Research and has hosted a microbiology outreach workshop for K-12 students through Georgia Tech’s  Center for Education Integrating Science, Mathematics, and Computing (CEISMC).

The through line across her work is consistent: science that anticipates risk and informs action. "As we expand this data center infrastructure, a proactive approach should be taken to understanding concerns that, maybe, haven't been fully addressed yet."

In a region and a world betting big on AI, her research offers a timely reminder: Progress depends not just on computing power, but on ensuring that the water that keeps these systems from melting down remains safe for the communities living alongside them.

Jenny McGuire, an associate professor in the Schools of Biological Sciences and Earth and Atmospheric Sciences at Georgia Tech, is building a regional blueprint for safeguarding biodiversity in the southeastern United States while drawing insights from half a world away in Denmark. She is the Harry and Anna Teasley Professor in Ecology and Brook Byers Institute for Sustainable Systems (BBISS) faculty fellow. She is currently on faculty development leave in Copenhagen where she is sharpening her work with fresh perspectives from European conservation practice.

McGuire, winner of the National Science Foundation’s prestigious Faculty Early Career Development Award, describes herself as a spatial or landscape ecologist, rather than a traditional wildlife biologist. She currently leads Georgia Tech’s Spatial Ecology and Paleontology Lab, whose motto is “learning from the past how to conserve the future.” She uses modern, historical, and paleontological specimens to identify how communities of plants and animals move across landscapes over long time scales in response to past climate shifts. Her goal is to identify strategies to conserve as much biodiversity as possible in the face of an increasingly volatile climate.

Twice awarded with Sustainability Next Seed Grants by BBISS, most recently in 2025, McGuire is using that support to knit together scientists, conservation groups, agencies, and students to understand how plants and animals are moving in response to both climate and land-use change.

“I’ve been wanting to pivot to a more regional approach toward this work,” McGuire said. “The Southeast, and especially the Atlanta region, is really critical because we sit at this important geographic point where southern Appalachia and the Piedmont come together.”

As species track cooler temperatures and changing rainfall patterns, many are expected to move upslope into the southern Appalachians, even as Atlanta’s urban and suburban footprint continues to expand northward. “There’s a lot of competing stressors on the regional environment,” she said. 

Building a Regional Conservation Community

One of McGuire’s Sustainability Next Seed Grants, in collaboration with Nicole Kennard, BBISS Assistant Director for Community Engaged Research, supports a partnership with Roots Down, an innovative urban land-use nonprofit working with the cities of Avondale Estates and Atlanta to understand how native plant restoration affects ecosystem health. Georgia Tech students established protocols to survey sites before and after restoration to track changes.

The other seed grant McGuire received enabled her to convene a conference that brought together nonprofit conservation organizations, government agencies such as Georgia’s Department of Natural Resources, and academics from across the Southeast. The group formalized their collaboration as the Wildlife Ecology in the Piedmont and Appalachia (WEPA) coalition. They agreed to survey the resources, such as data,  projects, and people, that would support a regional wildlife conservation effort. Over the past semester, her team compiled those resources and shared results back with partners in a second virtual conference.

Early indications from this survey show a strong focus on mammals in urban Atlanta, including 11 camera-trap projects. Two of these projects follow transects from urban cores to suburbs to see how animals move across the city. This group has conducted extensive studies on how wildlife use roadside drainage structures, such as culverts, to move beneath roadways, and how animals are shifting to more nocturnal activity to avoid traffic.

Making connections among current and ongoing studies reveals knowledge gaps where both contemporary and historical data are sparse. Although historical records are held by regional museums, including the Georgia Museum of Natural History, many collections across the broader region remain undigitized. “Those historic distributions exist somewhere, but they’re really difficult to access,” McGuire said. Identifying these data sets is “critical to establish a baseline of where things lived in the past so we can understand how human landscapes and climate change are affecting things today and into the future.”

She’s also working with Georgia Tech for Georgia’s Tomorrow (GT²), a new College of Sciences initiative focused on regional impact. The program is hiring a postdoctoral fellow whom McGuire will supervise to jumpstart a collaborative research agenda around biodiversity dynamics.

McGuire’s work is increasingly collaborative, drawing on expertise across Georgia Tech and partner institutions like Atlanta’s Fernbank Museum.

Benjamin Freeman, assistant professor in the School of Biological Sciences, focuses on bird ecology to detect shifts in diversity and species ranges. In a new North Georgia Bird Project, with the Georgia Department of Natural Resources, he is resurveying bird communities across 13 mountain ridges, concentrating on about 40 forest bird species. His research tests projections that a rapidly warming climate could leave Georgia with very different plant and animal communities within a few human generations. “There’s no substitute for going out there and seeing what is actually changing,” says Freeman.

In a May 2026 Nature Reviews Biodiversity paper co-authored with McGuire, he combines his field-based bird surveys with her paleo-ecological analysis of fossil and pollen records.  

“We make models that predict how species and biological communities will respond to warming, then we go into nature to test those predictions, and finally refine our models when reality doesn’t match what we expected,” he says.

Another Georgia Tech faculty member, Steve Mussman, assistant professor in the College of Computing, brings a different skill set to the project. “I’m a computer and data scientist. I can help with the technical modeling aspects to make the analyses valid and useful,” he says. 

One of the ways he does this is to identify “sampling bias” in camera-trap and citizen science data, which may not be uniformly sampled from the animal population. “I’m really excited to bring machine learning and statistics to a very practical problem,” he adds.

Together, these collaborations support WEPA’s overarching goal: to integrate past and present data into tools that help decision-makers prioritize conservation actions under climate uncertainty.

Lessons From Denmark

For the past nine months, McGuire has been on faculty development leave in Copenhagen, using the time to think deeply about habitat connectivity and how species move across altered landscapes. There, she found a natural comparison point.

“The entire country of Denmark is about the same geographic size as the region we’re interested in,” she noted. “And population-wise, it’s smaller than the Atlanta metro area.”

What struck her most was how thoroughly human activity has reshaped Denmark. “There’s no part of the entire country that hasn’t been very heavily modified by humans,” she said. “At this point, all conservation is gardening.”

By contrast, she sees the Southeast as having retained a foundation of the historical ecology. Forests in the Appalachians have been heavily affected, “but not nearly for as long, or to the same extent, as in Europe,” she said. “It’s kind of nice to think about how we still have a slightly more natural landscape to start with that we can then maintain moving forward.”

In Denmark, McGuire has been learning from conservation biologists who are developing tiered metrics to assess restoration success, from basic, low-cost measures such as tree diameter and understory volume to more advanced tools like genomic analyses. She hopes to adapt similar frameworks to help southeastern land managers and communities assess ecosystem health under tight budgets.

From Appalachia to Berkeley to Georgia Tech

McGuire grew up in southern Virginia, where her love for biodiversity and the southern Appalachians first took root. She went on to earn her Ph.D. in integrative biology from the University of California, Berkeley, where she deepened her focus on how species and ecosystems respond to environmental change over long time scales.

She then completed postdoctoral research at the National Evolutionary Synthesis Center and at the University of Washington, where she expanded her quantitative and interdisciplinary toolkit — experience that now underpins her work at Georgia Tech, bridging ecology, paleontology, data science, and conservation planning.

“From my perspective, there’s an ethical imperative to maintain the world around us,” she said. “Being in nature and recognizing that we’re being good neighbors and good partners to the other species on the planet is just incredibly rewarding. We must leave the next generation a planet that is at least as healthy as the one we inherited."

Life Beyond the Lab

Beyond research and mentoring, McGuire enjoys hiking and biking. Much of her free time during her Copenhagen sabbatical has revolved around her young daughter, who turns 4 this summer.

McGuire looks forward to the occasion, which follows a cherished Danish school tradition: The child circles a picture of the sun once for each year of their life, holding a small Earth, while a parent holds up photos and tells a story from each year. 

Returning Home

As she prepares to return to Georgia Tech in August after a year away, McGuire will resume her fieldwork and continue her conservation initiatives throughout the Southeast. She hopes to draw in collaborators from all across Georgia Tech to help build a truly regional, interdisciplinary effort around biodiversity and climate resilience.

“Within WEPA, we’re really excited to bring more people into this work. For anyone interested in conservation modeling, sensors and AI, policy, or how nature supports communities,” she said, “there’s a place in this regional effort to understand and protect biodiversity.”

Editor's note. This story was first published by Georgia Tech Research.

“Organizations need to shift the way they treat bias in AI,” said Reeham Mohammed, a postdoctoral fellow in Georgia Tech’s Jimmy and Rosalynn Carter School of Public Policy. “Bias isn’t a problem that can be solved once and for all, and it affects everyone. We are all stakeholders in how this technology is implemented.”

Most efforts to address AI bias focus on fixing systems after they are built. Reeham proposes starting earlier. In a recent book chapter, she outlines an approach called participatory modeling, where stakeholders help map how AI systems function before they are deployed. The process reveals where bias can enter along the way.

Her framework draws on an unexpected comparison: the human immune system. When the body detects a virus, multiple systems respond and remain active until the threat is contained. Addressing AI bias, she argues, requires a similar approach — one that is continuous, adaptive, and systemwide.

“It takes the whole body to react to a virus, and the immune system stays active until it contains it,” Reeham said. “Stopping AI bias also requires ongoing intervention. AI is rapidly evolving, and our response should evolve with it.”

To test this idea, Reeham and her co-author, Erik Johnston of Arizona State University, wrote the recent chapter reporting on three empirical studies examining how bias can emerge across complex systems.

In Peoria, Illinois, the research mapped how health services, social services, and other support systems used AI and how it affected their operations. Three main issues stood out: Access barriers to resources kept some stakeholders out, AI systems reflected their designers more than the intended users, and the complexity of public institutions made public trust challenging.

Johnston analyzed 311 service request data, showing how citizen input, usage patterns, and response systems can reflect — and sometimes reinforce — existing disparities between neighborhoods. For example, low-income, ethnically diverse communities often don’t use 311 due to language barriers or low government trust. In a third study, Reeham conducted focus groups with 57 stakeholders at a higher education institution, including students, instructors, and administrators. These interviews explored perceptions of AI use and oversight within the higher education environment. Many of the conversations addressed faculty policies on student AI usage, with students reflecting frustration that they were not consulted in the making of these policies. 

Together, the findings show AI systems cannot be designed effectively from the top down without excluding important groups that actually use the AI services. Instead, participatory modeling calls for stakeholders to be involved early to help identify where bias begins. Whether through town halls or focus groups, stakeholders should be part of discussions when designing a new system. Stakeholders also need to remain engaged after deployment to ensure that systems stay fair; this could include everything from community advisory boards to third-party consultants.

“People should know that if they see bias in AI, they need to speak up,” Reeham said. “We often assume machines are more objective than humans, but that’s not always true.”

CITATION: Johnston, E.W., Mohammed, R.R. (2026). How Participatory Modeling Can Enable Collective Bias Mitigation when AI Is Used across Systems and Institutions. In: Ahrweiler, P., Gilbert, N. (eds) Participatory Modelling and Simulation to Improve AI-based Public Social Services. Artificial Intelligence, Simulation and Society. Springer, Cham. https://doi.org/10.1007/978-3-032-15283-1_13

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Declan Abernethy, a lecturer in the School of History and Sociology, joined the latest episode of Generating Buzz to share his insight into how the scope and scale of the World Cup compares to events of the past, how the city’s capacity to host “mega-events” has changed since the 1996 Olympic Games, and expectations for the visitor and viewer experience. 

Abernethy teaches courses at the intersection of sport, history, and science and technology studies, with an emphasis on the culture and community around soccer.

Listen to the full podcast on the GT News Center website.

As data center development accelerates across Georgia and beyond, understanding the relationship between AI infrastructure and water systems is becoming increasingly urgent. The BBISS Demystifying Data Centers Insights Series on March 27 focused on this issue, bringing together perspectives from engineering, utilities, and infrastructure planning. Moderated by Ameet Pinto, BBISS faculty director for Interdisciplinary Research and Collaboration, the discussion highlighted the water impacts of data centers and the need for systems thinking and collaboration across disciplines.

Why Systems Thinking Matters

A recurring theme was the mismatch between AI infrastructure and water systems. AI services are ubiquitous and scalable, while water resources are local, physically constrained, and managed by regionally fragmented utility systems. Data centers can be deployed rapidly, but water infrastructure evolves slowly. These differences complicate how impacts are measured and managed.

Water usage is more complex than it appears. While discussions often focus on water used directly for cooling, this represents only part of the total footprint. Significant water is used indirectly through electricity generation and the manufacturing of the computing hardware and cooling systems installed in data centers. As noted by Akanksha Menon,  assistant professor in the George W. Woodruff School of Mechanical Engineering, distinguishing between direct, indirect, and embodied water use shows that impacts extend far beyond individual facilities.

These complexities make isolated solutions insufficient. Reducing water use in one location doesn’t necessarily reduce overall demand. For example, Douglas County’s collaboration with Google, as presented by Brian Keel, deputy director of Engineering for Douglasville-Douglas County Water and Sewer Authority, has invested in alternative water sources, such as treating wastewater from the Sweetwater Creek facility for non-potable cooling.

Yet the growing energy and water demands driven by accelerating AI use remain a major challenge. In particular, managing water as a finite resource becomes increasingly important because energy can be generated through different methods, but water cannot simply be created. Such complexity highlights the need for a systems approach to navigate overlapping and conflicting issues.

Why Collaboration Is Essential

The session also underscored that no single discipline or entity can fully address these challenges. Douglas County’s partnership with Google highlights not only collaboration between local agencies and industry, but also the need for coordination beyond individual jurisdictions, as water used for power generation or sourced outside the immediate region can create indirect pressures elsewhere.

John Ikeda, chief mission officer for the Water Environment Federation, discussed governance challenges associated with data center water use. Ikeda underlined the challenges in measurement and governance, noting that water impacts can be counterintuitive. While efforts that appear water-saving, such as avoiding on-site water use, can increase indirect water demand through additional electricity use, water-based cooling may reduce total systemwide demand. These complexities reveal the limits of single metrics and the need for frameworks that account for direct, indirect, and life-cycle impacts. Governance challenges can arise from complex practical issues, including rural communities’ limited experience working with industrial partners and broader social resistance to AI and AI infrastructure, which once again calls for large-scale collaboration.

The broader takeaway is that the challenges linking AI and water are deeply tied to structural mismatches between digital AI infrastructure and physical water systems: ubiquitous AI services versus physically constrained water resources; rapid data center growth versus the slower development of water infrastructure; and global digital demand versus regionally concentrated environmental impacts.

As these gaps complicate measurement, planning, and governance, the discussion highlighted the need for broader, systems-level perspectives and collaboration across disciplines and sectors, including engineering, computing, utilities, policy, and community stakeholders. Sustainable data center development depends on perspectives that consider water, energy, infrastructure, and community resilience together.
 

The Earth and Atmospheric Sciences 2026 Clough Lecture, co-sponsored by the Brook Byers Institute for Sustainable Systems, featured Kate Marvel, a climate scientist and author. Marvel opened a space for conversation about how we understand, feel, and communicate climate change and sustainability.

The evening opened with remarks from Georgia Tech College of Sciences Dean Susan Lozier, who recognized President Emeritus G. Wayne Clough for his support in making the lecture series possible. Alexander Robel, associate professor in the School of Earth and Atmospheric Sciences, then introduced Marvel, describing her work as being at the intersection of climate science and public communication. Robel highlighted Marvel’s “warmth and fearless honesty” in her insistence “that science and feeling are not opposites.”

Based on her recent book Human Nature: Nine Ways to Feel About Our Changing Planet, Marvel’s lecture questioned a long-standing assumption in science: that objectivity requires emotional distance. She argued instead that climate science is not only about data and models, but also about human experience. Scientific inquiry, she suggested, does not exclude emotion; rather, it can be informed and motivated by it.

Marvel began by reflecting on Earth’s uniqueness as a habitable planet, shaped by a delicate balance of atmosphere, temperature, and position in the solar system. The sense of awe inspired by the planet’s unique position, she noted, is often the starting point for scientific curiosity as well as a sense of commitment to a sustainable Earth. From there, she moved to consider the more difficult emotions, including anger and guilt, that may arise as the stability of that system becomes increasingly uncertain.

To illustrate how understanding of climate evolves, Marvel walked through a range of potential explanations for changes in the Earth’s climate — from orbital shifts and solar variation to volcanic activity and deforestation. What stood out was her skillful interweaving of science and storytelling. For example, she noted how the atmospheric conditions created by the 1883 eruption of Krakatoa in Indonesia influenced European artistic expression. Citing the hyper-real intensity of the sky’s color in Edvard Munch’s 1893 painting, The Scream, Marvel highlighted the role of human feeling and imagination in making sense of complex environmental change. 

Next, Marvel also suggested that climate modeling is not simply a technical exercise. It can be deeply intertwined with narratives about the future. Different assumptions about human behavior, policy decisions, and technological development produce different climate outcomes. In this sense, models reflect not only data, but also the stories societies tell about where they are headed and what future they would like to have.

The lecture concluded with Marvel emphasizing the importance of framing climate challenges in ways that connect with lived experience and a sustainable future, suggesting that storytelling can help inspire more meaningful communication and action. She pointed to the “hero’s journey” as one framework for climate storytelling — one in which moments of difficulty and uncertainty are inseparable from growth, purpose, and joy, and where action becomes central to moving toward a better future.

Marvel now works with Project Drawdown, who have developed the Drawdown Explorer, an open-access platform that helps individuals and governments assess everyday decisions and public policies in terms of climate outcomes. The Drawdown Explorer frames daily practices as part of a broader journey toward a more sustainable future.

The lecture offered an engaging and inspiring perspective, encouraging the audience to think more actively about how sustainability is communicated, what stories are told, and how emotional engagement can contribute to meaningful climate action.

Marta Hatzell to Lead BBISS External Partnership Efforts

Marta Hatzell has been appointed as faculty director for Strategic Engagement and Partnerships. Hatzell is a Woodruff Professor in Georgia Tech’s George W. Woodruff School of Mechanical Engineering with a joint appointment in the School of Chemical and Biomolecular Engineering. Her research builds the foundation for sustainable food, energy, and water systems through electrified catalysis and separations.

Across institutes, research centers, federal agencies, national laboratories, and industry partnerships, Hatzell’s work has operated at the intersection of research, infrastructure, policy, and implementation. She has worked closely with power utilities, industry partners, and federal sponsors. In this role, Hatzell will help shape BBISS’s external-facing strategy involving federal agencies, national laboratories, and university partners. She will bring her experience and expertise to steward strategic partnerships and strengthen large-scale collaborative research efforts, working closely with Ameet Pinto, faculty director for Interdisciplinary Research and Collaboration.

Xiao Liu to Advance AI and Resilience Research at BBISS

Xiao Liu has been appointed as faculty director for Resilience and AI. Liu is the David M. McKenney Family Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering. His research advances statistical methods and machine learning, with applications spanning wildfire risk analysis, climate and environmental modeling, infrastructure systems, and data-driven resilience research.

Liu’s appointment is part of BBISS’s growing focus on connecting AI, resilience, and sustainability research across disciplines, particularly in areas related to sustainable AI and AI for climate and sustainability science. His work on wildfire ignition risk quantification for power delivery networks, wildfire spread modeling, and remote-sensing analysis of wildfire aerosols demonstrates a commitment to using machine learning and AI to address complex environmental and infrastructure challenges. In this role, Liu will lead efforts to advance AI-driven approaches to resilience and will co-steward the AI, Sustainability, and Resilience Initiative in partnership with Josiah Hester, faculty director for Civic Innovation and AI.

Matthew Realff to Lead BBISS Education Initiatives

Matthew J. Realff has been appointed as faculty director for Interdisciplinary Sustainability Education. Realff is a professor in the School of Chemical and Biomolecular Engineering at Georgia Tech, where he has served on the faculty since 1993. Realff’s decades of research and education leadership center on advancing sustainable systems, with an emphasis on integrating process systems engineering with environmental and economic analysis. He has contributed to the development of sustainability policy, environmentally informed design, recycling systems, and industry standards.

Realff’s appointment supports BBISS’s ongoing efforts to strengthen interdisciplinary graduate education and workforce development aligned with Georgia Tech’s broader sustainability strategy. His commitment to sustainable systems education and his prior leadership roles, including chair of the Sustainability Education and Curriculum Committee, position him to expand interdisciplinary training and pathways for students who want to tackle sustainability challenges across boundaries.

Beril Toktay, BBISS executive director, said, “I’m delighted to welcome Marta, Xiao, and Matthew to the BBISS faculty leadership team. These appointments greatly expand BBISS’s capacity to address sustainability challenges crossing disciplinary, institutional, and sectoral lines.”

Candidates for the fifth annual CoE Faculty Excellence Awards were nominated by their peers or submitted self-nominations. Materials were reviewed by a committee of academic and research faculty members within the College.

Two of these faculty award winners, Hong Yeo and Omar Inan, are members of the Institute for People and Technology. Read the full CoE article >>

The 3-year project will examine how obstacles, such as training and certification requirements, geographic issues, awareness gaps, and shifts in federal policy, may affect employment in the sector. 

"It’s a good time for a project like this because the renewable energy industry continues to grow and it’s at a point at which it needs to take charge of its own future. This study will help them start making some of those decisions,” said Graff. 

Graff is in her first year on campus at Georgia Tech, and is now the principal investigator on a project that spans 13 states and includes researchers from the University of Massachusetts Boston, Northwestern University, and colleagues at Georgia Tech. 

The main goal of the project is to understand issues that may complicate employment options for aspirants interested in jobs in the renewable energy sector, which continues to see employment gains despite project cancelations and headwinds due in part to policy shifts by the federal government. 

For instance, the U.S. Bureau of Labor Statistics reported in September that it expects wind turbine service technician and solar photovoltaic installer will be the nation’s fastest growing occupations through 2034.  

In Georgia, the clean energy advocacy organization E2 reported that jobs in Georgia grew at five times the rate as the rest of the state’s economy in 2025. 

The researchers want to first understand how familiar job searchers are with clean energy jobs and what barriers stand in the way for them to be able to find jobs in the sector, including application hurdles, language skills, and location. Part of the work will include in-depth case studies across the country, a virtual workshop, and other outputs. 

They then plan to produce policy recommendations. 

“The goal is to not only to identify these burdens, but also think of ways to creatively reduce them without sacrificing rigor or training while recruiting the most talented people possible,” Graff said. 

Graff’s Carter School colleague Professor Dan Matisoff will act as a connection with the clean energy industry and help craft the policy recommendations. 

She expects the study, which is called “Investigating Administrative Burdens in the Renewable Energy Workforce,” will be completed in 2030.

“Aaron is a trusted colleague and leader who will guide the Carter School expertly as we navigate this transition,” said Amanda Murdie, dean of the Ivan Allen College of Liberal Arts.

Levine led and implemented many transformational, high-impact efforts as the Ivan Allen College’s associate dean for research and outreach. He supported interdisciplinary research during record-breaking years, expanded research support programs and excellence awards, communicated the impact of research to external and internal stakeholders, established connections with early-career faculty, and co-created a mid-career academy for associate professors.

Levine will continue to serve as the interim executive director of the Georgia Tech’s Institute for Technology and Civic Leadership and participate in the Faculty Executive Leadership Academy. 

Levine’s research addresses the intersection of public policy and biomedical innovation, particularly in the context of stem cells, cell therapy, and assisted reproduction. He has a Ph.D. in Public Affairs from Princeton University, a M.Phil. from the University of Cambridge, and a B.S. in Biology from the University of North Carolina at Chapel Hill.

Levine will step down as Ivan Allen College’s associate dean for research and outreach on May 31. Effective June 1, the senior associate dean for strategic initiatives position will expand to include college-wide outreach and strategic partnership efforts. 

An expedited internal search for the next associate dean for research will launch in summer 2026. Richard Utz, senior associate dean for strategic initiatives, will temporarily oversee the College’s research portfolio.