Policymakers, health system executives, community leaders and others working to address this challenge now have help from Rural Evaluation and Analytics for Community Health (REACH GA), an advanced decision-support platform that offers a comprehensive view of healthcare use in rural Georgia. In addition to updated information on rural health issues, the platform provides computer-based tools to guide allocation of healthcare resources and explore the potential impact of changes to rural health services.
“The REACH GA platform provides up-to-date, actionable information to help leaders understand the big picture of healthcare in rural Georgia,” said Jon Duke, M.D., a principal research scientist in the Georgia Tech Research Institute (GTRI) and the project’s principal investigator. “Beyond more accurate data, the platform uses artificial intelligence (AI) and other computer-driven tools to support improved decision-making.”
Of Georgia’s 159 counties, 126 are considered rural. Approximately 24 percent of the state’s 11.3 million residents live in these rural areas.
Read the full article on the GTRI news page
Ahmadi and Brown find that neighborhoods with higher shares of Black residents experience higher energy burdens, even after accounting for factors such as income, renter status, and housing characteristics. In this study, energy burden refers mainly to the share of household income spent on electricity, gas, and water. The authors estimate that an approximately 11 percentage-point increase in a neighborhood’s Black population share is associated with about a 1 percentage-point increase in household energy burden, equal to an average annual increase of about $785 in utility costs. These findings suggest that unequal energy burdens are tied not only to household finances, but also to the lasting effects of segregation and discrimination.
Read Full Story on the EPIcenter Page
]]>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.
Read the article on the Ivan Allen College website.
]]>When Chevron reported its highest quarterly profit in six years on July 31, 2026, it was just one detail in a larger picture: Analyst firm Wood Mackenzie estimates the global oil and gas industry is on course for a cash windfall of US$495 billion in 2026. That’s profit above and beyond what the industry expected before the U.S.-Israel war with Iran began.
Three separate bills seeking to tax those profits are now in Congress, and President Donald Trump has even said the oil companies are “making too much money.”
As an applied microeconomist, I am often asked how taxes affect economic activity. Economists have long held a more nuanced view of windfall taxes than either side of the current debate suggests. Advocates often make overly optimistic revenue projections, and opponents often overstate how much such a tax might discourage investment. A 1980s U.S. windfall-tax experiment is instructive on both counts.
Read Full Story on The Conversation
]]>Three separate bills seeking to tax those profits are now in Congress, and President Donald Trump has even said the oil companies are “making too much money.”
As an applied microeconomist, I am often asked how taxes affect economic activity. Economists have long held a more nuanced view of windfall taxes than either side of the current debate suggests. Advocates often make overly optimistic revenue projections, and opponents often overstate how much such a tax might discourage investment. A 1980s U.S. windfall-tax experiment is instructive on both counts.
]]>The GTRI field office, which includes a new large secure classified workspace, will house GTRI engineers and scientists working shoulder to shoulder with U.S. Space Force teams. The Colorado Springs Field Office currently has forty GTRI personnel on staff. The arrangement reflects a growing conviction inside the defense community that the pace of modern threats requires a closer, faster collaboration between researchers and the warfighters they support.
“We won’t have to go through layers of translation because the government people with technology needs will be sitting next to the GTRI engineers offering solutions. It makes for a very close interaction that we expect to continue for many years to come” said John Bunnell, GTRI’s Director of Space Program Development.
Read the entire article on the GTRI News page
The internship provided Burnett valuable insight into national laboratory research and reinforced skills he developed through his studies at Georgia Tech. When he returned to campus, we asked Burnett to share more about his internship and what he learned.
Student: Tage Burnett
Research Interests: Fusion energy, computational plasma physics, high-performance computing, and structure-preserving machine learning
Degree Program: Ph.D. in Computational Science and Engineering
Faculty Advisor: School of CSE Assistant Professor Qi Tang
2026 Internship: Oak Ridge National Laboratory, Oak Ridge, Tennessee
Many people are unfamiliar with national laboratories, like ORNL. Could you explain the purpose of these institutions and why they are important?
The Department of Energy (DOE) national laboratories are responsible for moving forward science and technology in the United States and solving high-consequence challenges in science, energy, and national security. They work on both applied and theoretical research with both short-term and long-term returns. ORNL has eight core research areas: biology and environment, energy science, fusion and fission, isotopes, physical sciences, national security, neutron science, and supercomputing. I was an intern in the supercomputing division.
How well did coursework and experience at Georgia Tech prepare you for your ORNL internship?
My coursework at Georgia Tech was vital in my preparation for this internship. I wrote highly parallel code where I leaned heavily on what I learned in CSE 6220: High-Performance Computing. I also worked on numerical methods which required an understanding of partial differential equations and numerical linear algebra which I also learned at Georgia Tech from classes like CSE 6643: Numerical Linear Algebra and a space plasma physics course.
What did you work on while interning at ORNL?
At ORNL, I was a developer on the Adaptive Sparse Grid Discretization (ASGarD) codebase. The code uses adaptive sparse grids and the Discontinuous Galerkin method to beat the curse of dimensionality and solve high-dimensional partial differential equations (PDEs). The code is designed to simulate fully kinetic plasmas in up to 6-dimensional phase space. My project was to implement an iterative method to solve the efficiently solve the Poisson equation within the codebase. This project gave me hands on experience with linear algebra, numerical PDEs, parallel computing and software engineering which was invaluable to my development as a CSE researcher.
Do you have a favorite memory or remarkable achievement from your internship?
My favorite memory from my internship was spending time with the other ORNL interns outside of work. There was an amazing group of interns at ORNL, and it was great getting to know them. One particularly good memory was when we went out to a restaurant with live music and played laser tag during our last week of the internship to celebrate our time at ORNL. The achievement I am most proud of was getting a working, highly efficient version of the Poisson solver into ASGarD. The ASGarD codebase is open source, so I hope other plasma physics researchers will use the code and find it helpful for their research.
While interning, you were selected for a GEM Fellowship, which Georgia Tech and ORNL nominated you for. What does this fellowship mean to you and is there anything you would like to say to your supporters?
To me, receiving the GEM Fellowship indicates that other people recognize the hard work I am doing, and they believe in my ability to meaningfully contribute to the field. Having this support from GEM, ORNL, and Georgia Tech gives me greater confidence in myself and my potential and inspires me to put my all into my work. I would like all my supporters to know that I am so grateful for the opportunity you have given me to be a part of the excellent community of researchers within GEM, ORNL, and Georgia Tech. I will do my very best to make your support worthwhile!
Overall, how helpful was this internship toward your studies at Georgia Tech and career as an aspiring researcher?
The internship was extremely important to both my studies at Georgia Tech and my career as a researcher. The hands-on experience I gained is irreplaceable and it helped me to apply all the skills I have developed throughout my education. I am also optimistic that the internship will open doors for me when I am seeking a job post-graduation.
]]>The internship provided Burnett valuable insight into national laboratory research and reinforced skills he developed through his studies at Georgia Tech. When he returned to campus, we asked Burnett to share more about his internship and what he learned.
]]>One moment they're playing games or watching television. The next, they experience breathing failure, shock, or neurological decline. If the warning signs aren't recognized early enough, the child may require emergency transfer to the intensive care unit (ICU), where interventions can include breathing tubes, blood pressure medications, and other lifesaving measures.
The phenomenon is called “emergent deterioration.”
"Kids will look fine, and then all of a sudden they'll fall off a cliff and rapidly deteriorate," said Dr. Mark Mai, a pediatric intensivist at Children’s Healthcare of Atlanta, who cares for critically ill children in the ICU. "When those kids go to the ICU and need emergency interventions, they have a much higher rate of death than kids we bring up to the ICU in a controlled fashion."
To help clinicians identify those high-risk patients sooner, researchers at Georgia Tech are partnering with Children's clinicians and technology teams to create an artificial intelligence-powered warning system. Known as Algorithm for Counteracting the Clinical Onset of Rapid Deterioration (ACCORD), the three-year project is one of the first funded projects focused on a software solution by the Children’s Healthcare of Atlanta Pediatric Technology Center at Georgia Tech (PTC). Project teams are working simultaneously on model development, app design, and user testing. And, unlike many healthcare AI projects that remain confined to research papers, ACCORD is being designed from the beginning for use in a real hospital. The ultimate goal is to help clinicians intervene before a child reaches a life-threatening emergency.
Teaching AI to Spot Trouble Earlier
Today, clinicians rely on an early warning score that combines measurements such as heart rate, blood pressure, and breathing rate into a single risk assessment. While helpful, the approach simplifies a complex clinical picture.
"The current system is a pretty basic rubric that sums up all the data points and then decides whether they are high-risk or low-risk, but from the data science and machine learning perspective it's not optimal," said Kai Wang, an assistant professor in the School of Computational Science and Engineering and project co-principal investigator with Mai.
Rather than evaluating patients through a fixed scoring system, ACCORD's AI model analyzes dozens of data streams, including vital signs, laboratory results, and clinical observations. The goal is to uncover subtle patterns that may signal deterioration hours before the physical warning signs become obvious to clinicians.
"We want to build a more sophisticated algorithm that can look into vitals, blood pressure, heart rate, and other measures to provide a more granular forecast of risk," Wang said.
Building that capability into an algorithm requires making sense of one of healthcare's biggest challenges: messy, incomplete, and constantly changing data. To develop the model, researchers are training and testing it using information pulled from Children's electronic health records. Some information, such as vital signs, is collected continuously. Other information may be recorded less frequently or at irregular intervals, such as nursing observations.
"That is both the most challenging and the most exciting part of this project," said Himadri Pandey, a machine learning Ph.D. student working on ACCORD. "We have to consider the realities of a healthcare setting. Data may be incomplete or delayed, staffing and resources may change, and any recommendation must be understandable and usable by clinicians."
"The goal is not simply to build a model that works mathematically," she added. "It's to build something that could genuinely support decision-making in a hospital."
Building Technology Nurses Will Use
For ACCORD to improve patient outcomes, the technology must fit naturally into clinicians' daily workflow. Most nurses care for multiple patients simultaneously and cannot continuously monitor a single child. Because episodes of emergent deterioration are relatively rare in a full day of care, opportunities to gain experience recognizing the earliest warning signs can be limited. Acknowledging that reality, project leaders involved frontline nurses from the beginning.
"We went straight to the nurses and said, 'This is what we're trying to do. You tell us what would make your job easier, how you need the flow, what it needs to look like, and we will build according to that,” said Christina Roberts, program manager for PTC and the Health Informatics Core at Children’s. "We brought them into the process very early and gave them a say in the development, so they know exactly what to expect when the tool comes to the floor."
The team plans to integrate ACCORD directly into the Children’s electronic health record system, where clinicians already access patient information. The application will combine vital signs, laboratory results, and other clinical data into a single dashboard that can automatically flag patients at elevated risk of deterioration.
Researchers and clinicians continue to meet regularly as the platform evolves.
"How do we distinguish what the algorithm finds important and what is just always there?" said Dr. Claire Stokes, a pediatric hematologist and oncologist with the Aflac Cancer and Blood Disorders Center at Children’s, who is involved in the project. "Because a clinician probably always wants to see the vital signs, even if they're not alert levels, for example."
Those conversations help ensure that the system provides useful information without overwhelming clinicians with additional data or alerts. The team hopes to begin testing the system in clinical settings by 2027 before broader deployment. For the researchers working on ACCORD, however, the project's success will ultimately be measured by the patients it helps.
"I know that one research project cannot solve every problem in healthcare," said Pandey, who has experienced the hospitalization of a close family member. "But being able to contribute, even in a small way, allows me to replace some of that earlier helplessness with purpose."
If successful, ACCORD could give clinicians something they rarely have when a child begins to decline — time.
]]>
tess.malone@gatech.edu
]]>Over five years, researchers tracked nearly 7,000 households across 154 Mumbai settlements to determine which strategies most effectively helped residents secure water connections. They found that helping residents navigate the application process — while also organizing community advocacy — increased official water connections by 45% compared to households that received no assistance.
“There have been many studies looking at just using administrative assistance to help communities get water access,” said Anjali Thomas, an associate professor in the Sam Nunn School of International Affairs, director of the Global Development Program, and co-lead author of the study. “But combining this with community organizing, which helped people also exert their voice, was unique to our study.”
Thomas and collaborator Nikhar Gaikwad, an assistant professor at Columbia University, published the findings in the American Journal of Political Science, long ranked among the top three journals in the discipline.
Navigating Bureaucracy and Building Voice
The researchers first examined why so few residents applied for water connections. Residents were often unaware that recent policy changes had made them eligible for water connections and didn’t bother applying. The municipal corporation also only accepted online applications, and many residents didn’t have access to computers. Additionally, applications required onerous documentation, including tenant or land titles, plumbers’ approvals, and other proof-of-eligibility deeds. To address these barriers, the research team worked with an extensive team of nongovernmental organization workers to help residents gather required documents, complete applications, and navigate bureaucratic follow-up requests.
The second intervention focused on community advocacy. Researchers helped residents organize through WhatsApp groups, petitions, public awareness campaigns, and facilitated group visits to bureaucrats and elected officials’ offices to press for water access.
“Our community advocacy intervention helped citizens convey their collective water access demands to elected politicians,” said Gaikwad. “Local elected politicians are important actors because they help bureaucrats understand citizen needs, prioritize competing demands, and coordinate complex interagency work.”
The study’s most important finding was that neither intervention was effective on its own. Meaningful gains occurred only when administrative support and community advocacy were combined.
“Administrative assistance got citizens through the paperwork, but actually getting the water turned on took collective public pressure,” Thomas said. “Interestingly, we find that this pressure worked only in the period before local elections, when politicians were most motivated to respond.”
The finding suggests that improving access to public services often requires more than helping residents navigate government systems. Communities may also need the collective ability to demand action from decision-makers.
A Large-Scale Effort
Conducting a study of this scale required a large team. Thomas and Gaikwad partnered with local nonprofit organizations that deployed hundreds of community workers, survey enumerators, and students across participating settlements. The researchers personally visited many neighborhoods multiple times during the five-year project.
Thomas also spent time in India and witnessed the impact firsthand.
“I was in the field when one of the pipes was being laid, and people from the community all circled around and were watching,” Thomas said. “My research assistant and I felt the gratitude from the community.”
For Thomas, moments like that underscore the broader lesson of the project: expanding access to essential services often requires both helping people navigate bureaucracy and empowering them to make their voices heard.
“These findings offer vital lessons for sustainable development initiatives worldwide,” she said.
Gaikwad agreed.
“While our study provided novel evidence to test and advance our theoretical understanding of the barriers that marginalized citizens face in accessing core government services, the real-world impact of our interventions in Mumbai’s informal settlements was also an important contribution of our study,” he said. “We believe there are important lessons for governmental and nongovernmental organizations working on service delivery in a wide range of informal settlements that also lack essential services across the Global South.”
This research was funded by Evidence in Governance and Politics, the Department for International Development, Columbia University, and Georgia Tech’s Neal Family Endowment.
CITATION: Gaikwad, Nikhar, and Thomas, Anjali. (2026). “Getting on the grid: A field experiment on bottom-up political pressure and access to essential public services.” American Journal of Political Science 1–22.
DOI: https://doi.org/10.1111/ajps.70068.
]]>tess.malone@gatech.edu
]]>The cells that keep vaccines working for decades have long remained a mystery deep within human bone marrow. A new study watched them move, settle, and survive in a living human tissue model, revealing a surprisingly dynamic world that could reshape how scientists think about immunity, aging, cancer, and vaccine protection.
For decades, immunologists have known that the body's most durable defenses depend on plasma cells, the antibody-producing cells responsible for long-term immune memory. Long after an infection has passed or a vaccine has been administered, these cells continue releasing protective antibodies, sometimes for decades.
Yet one of immunology's enduring mysteries has remained unsolved: scientists understand what plasma cells do, but not how they interact with their environment.
The challenge is simple. Plasma cells reside deep within bone marrow, one of the most difficult tissues in the human body to study. Encased in bone and inaccessible to direct live imaging, it has largely remained a black box. As a result, much of what scientists know comes from mouse studies or simplified laboratory systems that capture only fragments of the human environment.
Now, researchers at Georgia Tech and Vanderbilt University have opened an unprecedented window into this hidden world.
In a study published in Science Advances, the team developed a human bone marrow-on-a-chip with channels of the size of human hair that allowed fluids to flow through it. This enabled them to directly observe human antibody-secreting cells as they migrated, interacted, and settled within a three-dimensional tissue environment.
The platform recreates not only the cellular complexity of bone marrow but also its vascular architecture and specialized microenvironments.
“What we found was far more dynamic than the textbook view of plasma cells simply taking up residence and staying put,” said study co-senior author Ankur Singh, Carl Ring Family professor in the George W. Woodruff School of Mechanical Engineering and the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. Singh is also Director of the Center for Immunoengineering at Georgia Tech, part of the Parker H. Petit Institute for Bioengineering and Bioscience.
Rather than creating a conventional cell culture, the researchers engineered a living microenvironment containing two major bone marrow neighborhoods: areas surrounding blood vessels, known as the perivascular niche, and a bone-like region lining internal bone surfaces, known as the endosteal niche.
The team then introduced human antibody-secreting cells generated from engineered lymphoid organoids, which are miniature immune tissues capable of producing large numbers of cells that develop into plasma.
What happened next surprised them.
Instead of dispersing throughout the tissue, the cells traveled through the vascular network and accumulated around blood vessels.
“These cellular gatherings were not random traffic jams,” said co-senior author Krishnendu Roy, the Bruce and Bridgitt Evans Dean of Engineering University Distinguished Professor at Vanderbilt University. “The cells appeared to congregate in regions rich in survival signals, suggesting that specialized perivascular neighborhoods serve as safe harbors for long-term immune memory.”
The collaboration between Roy and Singh began while Roy was a faculty member at Georgia Tech, where much of the work was initially conceived and launched. The Roy lab pioneered the bone marrow chip while the Singh lab pioneered the lymphoid organoids. Their joint findings provide strong evidence that human plasma cells actively seek supportive environments rather than simply becoming trapped where they are, as previously believed.
Perhaps the most striking discovery emerged when researchers tracked individual cells over time.
Rather than remaining fixed in place, a subset displayed a distinctive "stop-and-go" migration pattern.
“Classic immunology has often viewed plasma cells as largely sedentary,” said Singh. “We found that many cells paused for extended periods, moved, stopped again, and continued exploring their surroundings.”
The behavior suggests that plasma cells actively sample their environment, searching for the combinations of signals and support needed for long-term survival.
The study also revealed that bone marrow's two major compartments perform distinct but complementary functions.
The perivascular niche attracts cells and provides key survival signals, while the neighboring endosteal niche influences how they migrate, persist and are retained.
Together, these compartments form a cooperative ecosystem that shapes plasma cell fate, challenging the idea of bone marrow as a single, uniform environment.
The implications extend far beyond understanding where plasma cells live.
Bone marrow niches support the cells responsible for long-term antibody protection, placing them at the center of vaccine durability, immune aging, autoimmune disease, chronic infection, blood cancers, and cancer metastasis.
The new platform allows researchers to systematically manipulate components of the human bone marrow environment and observe the consequences in real time. It may help explain why immunity wanes with age, why some vaccines provide longer-lasting protection than others, and how disease disrupts the biological foundations of immune memory.
Most importantly, it offers a rare glimpse into one of the immune system's most inaccessible habitats. Though there is still much more to learn, their secrets are no longer quite so hidden.
Media Contact: Ashlie Bowman, Communications Manager
Parker H. Petit Institute for Bioengineering and Bioscience
Despite decades of research, the chaotic nature of turbulence makes it difficult to predict and control. This challenge impedes more than smoother air travel. Solving the turbulence problem could lead to advances in areas ranging from sustainable energy to training a smarter workforce for the era of artificial intelligence (AI).
To advance understanding of turbulence, the National Science Foundation is establishing a new, $30 million Science and Technology Center (STC) at Michigan State University. Georgia Tech is among eight universities supporting the center.
Assistant Professor Qi Tang will join the STC for Transformative Explorations in Multi-Physics and Engineering of Scientific Turbulence (TEMPEST). TEMPEST, launching on Sept. 1, aims to build trustworthy, predictive models of real-world turbulence.
Tang will lead TEMPEST’s modeling and scientific machine learning (ML) efforts. NSF will fund Tang and Georgia Tech with over $1 million from the center’s five-year, $30 million award.
By understanding and predicting turbulence, TEMPEST can unlock new applications, with a focus on fusion energy and national security. The center will also generate long-term research projects with applications in air and space flight, manufacturing, chemistry, and broaden science education and AI fluency.
“Turbulence has resisted prediction for a century,” said Tang, a faculty member in the School of Computational Science and Engineering (CSE).
“STC TEMPEST aims to develop a unified, predictive science that advances fusion energy, improves hypersonic technologies, and deepens our understanding of how stars created the elements that make up our world and ourselves. For everyday people, the center points toward abundant clean energy and faster, more efficient flight."
Turbulence is the motion of a fluid characterized by chaotic changes in pressure and speed. Turbulent flows can occur across all scales, from interactions between subatomic particles to astrophysical scales, including supernovas, black holes, and cosmic rays.
While turbulent flows are common and occur naturally, scientists still do not fully understand them. Small changes in a turbulent flow can produce dramatically different outcomes. Combined with the countless interactions across multiple scales of time and space, this makes turbulence extraordinarily difficult to predict.
“Rather than studying individual pieces of this enormously complex problem in isolation, we are bringing together theory, experimentation, computation and artificial intelligence to develop a deeper understanding of turbulence across scales,” said Michael Murillo, an MSU professor and the director of TEMPEST.
“Our goal is not simply to understand turbulence better, but to make it predictable and controllable in ways that will enable new technologies and scientific discoveries.”
The NSF TEMPEST award supports students and researchers at Michigan State University, Auburn University, Baylor University, Georgia Tech, San José State University, Texas A&M University-Corpus Christi, University of Rochester, and Yale University to combine theory, computation, AI techniques, and experimentation to build trustworthy predictive models of real-world turbulence for high-consequence applications.
Additional partners include Los Alamos National Laboratory, Sandia National Laboratories, Lawrence Livermore National Laboratory, Pacific Fusion, and General Atomics.
Together, TEMPEST researchers will build more accurate and reliable physics-grounded models. The center will test new ideas against real-world observations, then use those results to refine the models.
Tang contributes expertise in ML, scientific computing, and plasma physics to STC TEMPEST.
Earlier this year, Tang received an Early Career Research award from the Department of Energy’s Office of Science. He is using the award to build ML and data science tools that help scientists analyze massive datasets from fusion experiments and simulations.
This interdisciplinary approach is intended to move science from understanding why turbulence behaves as it does to predicting how it will behave. Through prediction and simulation, scientists could eventually engineer solutions to control turbulence in real-world scenarios.
The center will make its data and software broadly available and engage the public through museum exhibitions, immersive media, and educational programs that are expected to reach more than 10,000 K-12 students annually. TEMPEST will also help train an AI-fluent scientific workforce prepared to tackle complex problems across disciplines.
“One reason I am excited to work in TEMPEST is because it aligns perfectly with our School of CSE mission. As a discipline, CSE complements theory and experimentation as a mode of scientific discovery,” Tang said.
“We build computational models to simulate scientific and engineering concepts, like turbulence in this case, so that we can test theories that are too difficult, expensive, or risky for physical experiments.”
]]>Every computer, from the large, clunky machines of the past to today's AI accelerators, depends on a physical phenomenon that can represent information. For decades, that role has been played by the controlled movement of electrical charge through billions of transistors etched onto a chip.
A Georgia Tech-led research team is exploring a different approach. Rather than relying on charge alone to perform logic operations, the researchers are investigating whether nanoscale mechanical strain can serve as a new way to represent and process information.
"Whether it's charge, light, magnetism, or strain, computing doesn't care how information is transported as long as it reliably represents a one and a zero," said School of Electrical and Computer Engineering Associate Professor Asif Khan. "Our approach explores a different path by blending multiple information-carrying modalities together."
Led by Khan, the effort has received $10.6 million from the Defense Advanced Research Projects Agency's (DARPA) Fast and Curious program, an initiative focused on developing logic circuits that are at least 100 times more energy efficient than today's state-of-the-art technologies.
Backed by $10.6 million from DARPA, a Georgia Tech-lead team is investigating how nanoscale mechanical forces can help computers process information using less energy.
]]>
Applying mechanical strain to semiconductor devices can improve the flow of electrons, enabling faster and more energy-efficient computing. Image above is not a depiction of an actual device or experimental result.
At the heart of the new lab is the miniTrashpresso, a compact recycling and manufacturing system developed by the sustainability technology company Miniwiz. The machine can take used plastics and other waste materials, process them locally, and transform them into new products in less than five minutes. By bringing manufacturing and recycling together in a single system, the Trash Lab aims to give the Georgia Tech community a way to explore sustainable design, material reuse, and the future of circular manufacturing.
“The launch of IPaT’s new Trash Lab represents an exciting step forward for sustainability at Georgia Tech,” said Jennifer Chirico, associate vice president of Sustainability. “As a living-learning lab, it provides students and researchers with hands-on opportunities to work alongside campus operations, turning used plastics into valuable new products and creating innovative solutions that support a more circular campus.”
A Makerspace Focused on Circular Innovation
The Trash Lab expands Georgia Tech’s growing network of makerspaces and innovation environments by focusing specifically on waste recovery and reuse. Instead of treating used plastics as disposable materials, the lab encourages users to view them as valuable resources that can be transformed into new products.
The miniTrashpresso represents the latest generation of recycling technology developed by Miniwiz. The company originally launched the world’s first mobile recycling line, known as the Trashpresso, to support communities that lacked access to traditional recycling infrastructure. The newer miniTrashpresso is smaller, more energy-efficient, and more portable, making it suitable for campuses and community-based applications.
The modular system uses industrial equipment, including shredders, presses, and heating technologies, to process materials on-site. Advanced heat-induction presses and specialized molds can quickly transform recovered plastics into new objects and components. The system can also be integrated with AI-powered waste-tracking tools and robotic automation technologies that help identify, sort, and process materials more efficiently.
For IPaT leaders, the Trash Lab represents more than the addition of specialized equipment.
“Community resilience and people-centered sustainability are core research areas within IPaT,” said Michael Best, executive director. “Our new Trash Lab will allow the entire Georgia Tech community to not only think about upcycling and plastic reuse but to make and do innovative projects that directly demonstrate sustainable futures.”
Turning Trash Into a Resource
Miniwiz founder Arthur Huang, who developed the miniTrashpresso system, describes upcycling as a practice rooted in centuries of human ingenuity.
“Upcycling is actually recycling old material and turning that into something new,” Huang said.
Throughout history, societies have reused existing materials in construction, manufacturing, and everyday life. According to Huang, modern waste streams, particularly plastic packaging and electronic waste, represent an enormous and often untapped source of raw materials.
The miniTrashpresso was designed around that idea. Rather than transporting waste long distances to centralized facilities, the system enables materials to be processed where they are collected. By reducing transportation needs and creating opportunities for local manufacturing, decentralized recycling systems can help lower the environmental footprint associated with traditional waste management.
Miniwiz estimates that using recycled materials can reduce embedded energy consumption by 60% to 80% compared with using raw materials. The company has developed more than 1,200 upcycled materials and products from everyday waste streams, including plastics, food packaging, coffee cups, and electronic waste.
Since its introduction, Miniwiz technology has been deployed in communities, campuses, and organizations worldwide, including projects in Taiwan, Italy, Singapore, Sweden, Saudi Arabia, Thailand, the United Kingdom, and the United Arab Emirates. According to Huang, Georgia Tech is installing and operating North America’s first miniTrashpresso recycling machine from Miniwiz.
Building a Community Around Sustainability
The new facility is also intended to serve as a gathering place for interdisciplinary collaboration. Students interested in sustainability, materials science, engineering, design, manufacturing, and public policy will have opportunities to experiment with new ideas while working with researchers and campus partners.
“When Michael Best first pitched the idea of the Trash Lab, I expected there to be interest in a space like this given the general momentum toward sustainable practices on campus, but the level of excitement from students, staff, and faculty has been outstanding,” said Tim Trent, IPaT’s lab director for the Trash, Craft, Prototyping, and Usability Labs.
“This is an opportunity to create a gathering point for sustainability initiatives, act as a catalyst for partnerships, and help strengthen the many amazing networks and projects already present on campus,” he said. “The IPaT Innovation Labs have a continuous focus on supporting the overall Georgia Tech research enterprise, and I’m happy we are adding another piece to the portfolio.”
As the Trash Lab opens its doors, members of the Georgia Tech community will be invited to explore how waste materials can be reimagined as resources, prototypes, and products. By combining makerspace culture, advanced recycling technology, and sustainability research, the lab offers a tangible demonstration of how circular economy principles can move from theory into practice.
For Georgia Tech, the Trash Lab is not simply a place to recycle plastic. It is a space where innovation, design, and sustainability intersect, helping transform discarded materials into opportunities for learning, discovery, and impact.
---
For more information about the Trash Lab, contact the IPaT Innovation Labs at ipat-labs@groups.gatech.edu.