Aug. 03, 2026
 A robotic arm moves amongst AMPF facilities

The cloud laboratory will enable researchers nationwide to conduct AI-driven experiments using the Advanced Manufacturing Pilot Facility's materials and manufacturing equipment. (Credit: Georgia AIM)

Advancements in technology are key to a nation’s ability to innovate and compete. Next-generation infrastructure, manufacturing, energy systems, electronics, and even medicine require new materials with capabilities that existing materials can’t provide.

But discovering and vetting those materials can be slow, expensive, and hands-on, requiring researchers to prepare samples, run experiments on specialized equipment, and repeat the cycle through trial and error.

Now, Georgia Tech aims to deliver a paradigm shift in materials and manufacturing research with a new Programmable Cloud Laboratory that will leverage artificial intelligence (AI), simulation, and autonomous experimentation to accelerate that process dramatically.

Built upon Georgia Tech’s Advanced Manufacturing Pilot Facility (AMPF), a core facility of the Georgia Tech Manufacturing Institute (GTMI), the cloud lab will allow researchers across the country to direct work remotely, refine experiments based on results and AI recommendations, and tap into advanced manufacturing capabilities without spending weeks on-site. In effect, the cloud lab will bring the facility to the researcher.

“By making advanced manufacturing and AI-driven experimentation accessible from anywhere, we are accelerating the discovery of critical new materials and shaping the future of U.S. innovation,” said Tim Lieuwen, executive vice president for Research. “Georgia Tech is proud to provide the world-class infrastructure to help meet this national need and strengthen our research partnerships.”

The cloud lab is supported by $18.1 million from the National Science Foundation (NSF) and is part of a broader effort to build a national network of 20 AI-enabled cloud laboratories. The labs are designed to work together, eventually allowing researchers to combine capabilities and workflows across the network. The new research ecosystem will connect advanced scientific infrastructure with expertise across the country.

“Researchers can ask a question, have work recommended by AI agents, have experiments carried out at the facility using robotics, and get the results back,” said Aaron Stebner, GTMI associate director, Eugene C. Gwaltney Jr. Chair, James R. and Sarah R. Borders Faculty Fellow, and professor in the School of Materials Science and Engineering and the George W. Woodruff School of Mechanical Engineering (ME). “They can use AMPF resources to advance their own research without having to be experts in each piece of equipment or send students to AMPF for weeks at a time.”

By lowering costs and barriers to conducting that research, Stebner said, the cloud lab will dramatically expand who can take advantage of AMPF’s capabilities.

A Self-Driving Research Lab

AMPF is a mixed-use facility where both industry and academic partners can discover new materials and do manufacturing research. Today, the facility is approaching autonomous workflow capabilities across about 38 pieces of equipment. Through the cloud lab, the team aims to expand automated and autonomous workflows to more than 100 of AMPF’s 160 pieces of equipment.

The cloud lab will also bring together stages of materials development that have traditionally happened separately, allowing researchers to explore materials discovery, manufacturing, testing, and scale-up within the same research environment.

Pascal Van Hentenryck, director of the NSF AI Institute for Advances in Optimization and A. Russell Chandler III Chair in the H. Milton Stewart School of Industrial and Systems Engineering, said the automation extends beyond individual pieces of equipment. Robots can operate machines and move materials from one station to another, physically carrying out workflows requested by researchers from afar. AI will help determine which machines and robots are needed for each task and manage their movements across the facility.

Van Hentenryck compared the process to following a recipe.

“When you cook, you have a recipe, and the recipe tells you what you have to do,” Van Hentenryck said. “You don’t need to understand exactly how the stove is working. You just need to know what you need to accomplish with it.”

AI agents will take those high-level “recipes” from researchers, translate them into detailed workflows, and coordinate experiments, simulations, and data flows across the facility.

The system will rely in part on digital twins — virtual models of the facility that can help plan, monitor, and improve experiments before and during execution. Van Hentenryck said the system is also designed to learn from each run, improving how machines are tuned and how future workflows are scheduled.

The project will integrate Duke University’s Automatic FLOW for Materials Discovery software platform, led by professor Stefano Curtarolo, to connect computational discovery with physical experimentation and help researchers more rapidly identify and evaluate promising new materials. Contextualize, led by founder and CEO Branden Kappes, will provide the data platform that seamlessly connects researchers, instruments, data, and IT systems across the distributed network. Tech AI will also contribute to the project as part of the broader research team.

The cloud lab will help bridge a longstanding gap between research and industrial adoption. Companies can be reluctant to interrupt working production lines to test unproven technologies, while startups and academic researchers often lack access to industrial-scale facilities where they can demonstrate that their ideas work. AMPF provides an environment where emerging technologies can be tested and de-risked without disrupting commercial production.

“The cloud lab will give industry partners and manufacturers the ability to evaluate new ideas before they commit to large-scale deployment,” said Tom Kurfess, executive director of GTMI and Agustin A. Ramirez/HUSCO International Distinguished Chair in Fluid Power Systems in ME. “This initiative will shorten development cycles and make it easier to bring promising technologies into production, enabling our partners and us to innovate at the speed of thought.”

Expanding Access to Advanced Research

The project aims to serve more than 400 users from 150 academic, industry, and government institutions, with more than half participating remotely.

“Making these autonomous labs available to a very wide community is key to innovation,” Van Hentenryck said. “You just give a lot of people the opportunity to try things out.”

The cloud lab builds on a larger effort Georgia Tech has pursued through AMPF for years: integrating AI, automation, and advanced manufacturing to create a flexible research environment that can evolve with technology, expand access, and strengthen U.S. leadership in materials and manufacturing.

For Stebner, the cloud lab represents a critical next step in bringing that vision to life.

“We are six years into this effort, and we’re already at a place I thought would take us 20 years to reach,” Stebner said. “This cloud lab is going to take us to a level of technology, research, leadership, and access that I didn’t know if we would reach by the end of my career.”

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Catherine Barzler, Senior Research Writer/Editor

catherine.barzler@gatech.edu

Jul. 10, 2026
After a rush to attract data centers with incentives, more communities are pushing back against their development. AP Photo/Ted Shaffrey

After a rush to attract data centers with incentives, more communities are pushing back against their development. AP Photo/Ted Shaffrey

The fierce backlash against data centers shows no sign of easing up.

Since early 2024, more than 1,200 public actions – including zoning fights, public campaigns and temporary moratoriums – have been logged by the Data Center Tracker, a public U.S. database of community responses to data center site selection. Among the concerns, grid capacity, water use and transparency around siting appear most often.

This momentum is leading to political action. In Maine, lawmakers passed a contested bill in spring 2026 that would have imposed the nation’s first statewide moratorium on new data centers. Gov. Janet Mills ultimately vetoed the measure on grounds that it would scuttle a US$550 million conversion of the closed Androscoggin Mill in the town of Jay into a data center.

But in a nod to the political climate, Mills said she supported in principle a pause in development and signed separate legislation barring state tax incentives going to data centers. She also pledged to create a council to study the industry statewide.

Maine’s dispute shows how statewide decisions on whether to promote or curb data centers can come down to one local case. It was no isolated example: Up to 10 other states are considering similar measures to contain their expansion.

But lawmakers across the country still lack clear evidence on whether new data centers can boost the economies of the communities hosting them.

As scholars of how technological change and innovation shape business strategy, we set out to produce rigorous research so that policymakers can make better decisions for their communities despite the emotions on both sides.

What we found was that data center development can boost growth and jobs – but these benefits are most pronounced when the local economy is more urban and developed. In fact, it turns out that the local economy around a data center matters more than the facility itself.

Testing the Data Center Promise

For years, state and local governments have courted data center projects with property tax abatements, sales tax exemptions and other incentives. Some jurisdictions still compete aggressively, but more and more are turning the other way, blocking tens of billions of dollars in proposed investments.

To understand the full economic impact, we combined records of when the centers began operating with data on local economic activity. We then compared how those economic outcomes changed before and after a county’s first data center opened relative to similar counties without data centers.

Overall, we found that data centers do boost growth. In the first three years after one opened, local employment rose on average by about 0.9%, wages by 1.1%, and the number of business establishments by 1%. Longer term, those effects grew to roughly 3.5%, 5% and 4.7%, respectively. Household income and building permits, meanwhile, increased by 1.9% and 16.1%, respectively. All of these gains accumulate gradually, rather than at once.

But the average effects mask an important pattern. Data centers are more likely to juice the economy when there’s a cluster of labor and capital already nearby, such as construction contractors, equipment suppliers, professional services and a skilled workforce.

In metropolitan counties, where that cluster of labor and capital is thicker, employment jumped by about 4.1%, while wages increased by 5.5%. In less populous counties, by contrast, job and wage spillovers were negligible. This suggests that the host community’s level of economic development matters more than the size of the project.

That said, other factors also affected local economic effects from one area to the next. Facilities operated by major tech companies, for example, raised local wages more than smaller companies. In addition, counties that attracted multiple data centers within five years of the first showed larger cumulative gains than counties with a single, isolated facility.

Anti-data center protestors, holding signs, are escorted out of a Georgia Public Service Commission meeting in Atlanta.

Data center critics point to soaring utility bills as one of the chief negative effects, given the centers’ huge appetite for power. AP Photo/Jeff Amy

What About Electric Bills?

Electricity in the United States is delivered through complex regional grids and regulated utilities. In turn, retail prices depend on state and local rules and how costs are allocated among households, businesses and large industrial users.

This complicated patchwork goes to the heart of one of the biggest criticisms of data centers: Because they’re extraordinarily power-intensive, opponents say, they hike electric bills for consumers. So we looked at counties where a utility’s service area was localized enough to isolate the effects. We found that retail electricity prices rose by about 5% after a data center becomes operational.

Our estimate of 5% is not universal, however. Utility territories most often span multiple counties, while rate-setting rules differ by state and utility. And prices are affected by other factors, such as weather, transmission systems and regulations. That made the electricity effect harder for us to pin down than the other economic outcomes we studied.

But if our estimates stand, our figure is substantially lower than some more sensational reports, which may not be correct in attributing bigger hikes in electric bills to data centers.

Why Tensions are Running High

Pushback against data centers has picked up since 2024, as proposed projects have grown larger and more visible. Communities often make decisions amid uncertainty, with little local evidence to draw on.

Our findings help clarify part of that uncertainty: Economic spillovers are strong in metropolitan counties, while many rural counties see minimal gains in job growth.

We also find that opposition to data centers is more common where data centers already operate. That pattern suggests local experience may matter, although it doesn’t explain how much opposition reflects direct local experience versus broader anxiety about the impact of artificial intelligence more generally.

Beyond the Construction Incentives

As more data center siting decisions come up, lawmakers will need to judge whether a county’s economy will benefit and whether the project’s terms will help all residents even when they don’t share those gains. This means that the details of local subsidy design matter, including tax incentives, electricity tariff arrangements, grid and water upgrades, and whether any new resulting tax revenue will boost public services.

Together, those factors can matter more than the headline investment figure touted in a company press release. While our findings are a starting point to help navigate this emotional debate, more work is needed on how these other decisions shape community outcomes.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Authors:

Daniel Yue, assistant professor of business, Georgia Institute of Technology 
Yiyang Zeng, postdoctoral fellow of business, Georgia Institute of Technology

Media Contact:

Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Jul. 29, 2026
An artist's concept showing a black hole. (Credit: NASA/JPL)

An artist's concept showing a black hole. (Credit: NASA/JPL)

The LIGO–Virgo–KAGRA (LVK) detector network comprises three centers across the globe. The United States hosts twin Laser Interferometer Gravitational-Wave Observatory (LIGO) detectors, one located at Hanford Observatory in Washington State and a second at Livingston Observatory in Louisiana. The Virgo detector is hosted by the European Gravitational Observatory in Italy, and the Kamioka Gravitational Wave (KAGRA) detector is hosted in Japan by the Institute for Cosmic Ray Research (ICRR) of the University of Tokyo.

Researchers at Georgia Tech play a key role in the international collaboration. The Georgia Tech-LIGO research group includes School of Physics Professor Laura Cadonati, Assistant Professor Surabhi Sachdev, Research Scientist Margaret Millhouse, Postdoctoral Scholar Prathamesh Joshi, eight graduate students, and multiple undergraduates.

The LVK network detects gravitational waves when a massive cosmic event — like the collision of two black holes — creates invisible ripples in the fabric of space-time. Waves ripple out at the speed of light, and millions of years after the events that first created them, they reach the LVK detectors. 

But detecting gravitational waves does not simply mean capturing a signal — clues first need to be untangled from background noise.

“Identifying gravitational-wave signals requires carefully separating real astrophysical events from random fluctuations in the data,” says School of Physics graduate student Urja Shah, whose work to quickly identify phenomena supports rapid follow-up by the broader astronomical community.

To support the identification of phenomena, School of Physics graduate student Megan Arogeti conducts consistency tests between waveforms, checking results to find unexpected or unusual features. “Tests like this give us confidence in our models as we continue to observe gravitational waves with increasing sensitivity,” she explains. “They support new observations and help identify exciting new physics.”

“These efforts help ensure that gravitational-wave signals are robustly identified and accurately characterized, turning each detection into a precise measurement,” adds Shah. “In turn, these measurements deepen our understanding of some of the most massive and dense objects in the universe and the fundamental laws governing the cosmos.”

Astrocalibration Autotune

When a sensor detects a gravitational wave, it produces a distinctive response, says School of Physics graduate student Shobhit Ranjan. “Those signals encode a wealth of information we can analyze to learn about their sources — their masses, spins, distance, and location.” But in order to detect these chirps, the detectors must be carefully calibrated, and if calibration is not optimal, the signals can be compromised.

Now, a new tool is helping the LVK collaboration recalibrate less optimal signals. The technique is already showing promise: In an article recently accepted in Physical Review Letters, LVK researchers successfully applied it to two interesting signals. The first signal served as a testing opportunity for the method. The team used astrocalibration to recover the data and check it against secondary independent calibration data that was available. They then put the technique to use, recovering information from a second event where no secondary calibration data were available. 

“Like autotune in the music industry, the new research shows that theoretical models can be used as guides, similar to how sheet music can help a studio shift off-key music to its correct tone,” Ranjan explains. “These theoretical models suggest the shape of the signal, and together with data from other detectors, we can adjust the data and read it correctly.”

“The fact that these detectors can now not only sense cosmic events, but leverage them to improve the data being collected marks a new era in gravitational wave science,” he adds.

A Record-Setting Dataset

The LVK Collaboration also published their fifth catalog of gravitational wave events this spring. The findings include an updated estimate of how fast the universe is expanding, evidence for the existence of second-generation black holes, the most precise sky localization ever achieved for a gravitational wave source, and the first measurement of three vibrational modes of a black hole.

“Our group helped enable 140 detections out of the 161 reported in this catalog,” says Joshi, who contributed to one of the flagship searches and designed a specialized search focused on detecting especially heavy black hole mergers.

Joshi also worked on determining precise locations of where the gravitational waves originated from in the universe — research that he says will allow astronomers around the world to perform long-term follow-up observations of interesting events.

One record-setting detection showed two black holes that had violently collided more than 3 billion light-years from Earth. Researchers were able to pinpoint its location in the sky more precisely than any other gravitational wave event observed before.

Improvements in the LVK network’s ability to localize events along with the large number of detections allowed for a better estimate of the Hubble constant, which measures the rate at which the universe is expanding. The new measurement is over 25% more precise than previous estimates.

The new catalog also includes the “clearest” gravitational wave signal ever detected. The clarity of the signal led to the most accurate test of general relativity ever performed and confirmation of Stephen Hawking’s black hole area theorem.

“This catalog provides not just the largest number of black hole detections, it marks a new era of rapid progress,” Sachdev says. “This is just the beginning of what these observations will allow us to uncover.”

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Selena Langner 
Technical Research Writer / Editor 
Georgia Tech College of Sciences

Jul. 29, 2026
Image of watch vitals and machine vitals

Artificial intelligence (AI) is changing far more than hospital paperwork. Researchers say it's beginning to help doctors make clinical decisions, identify mental health risks earlier, expand care through smartphones and wearable devices, and extend healthcare to people who might otherwise go without it. 

While adoption varies across healthcare systems, Georgia Tech researchers say AI is becoming increasingly integrated into medicine. At the same time, questions about privacy, trust, equity, and human oversight remain central to how the technology will be used in the years ahead. 

“Medicine has clearly embraced the human-AI fusion approach,” said Jon Duke, director of the Center for Health Analytics & Informatics at the Georgia Tech Research Institute. “The use of AI is encouraged, but reliance on AI is not.” 

From Clinical Workflows to Decision Support 

Many of healthcare's earliest AI applications focused on reducing administrative burdens. Today, researchers say the technology is increasingly helping clinicians access and interpret information. 

Duke points to the growing use of clinical AI tools such as OpenEvidence, which provide healthcare professionals with AI-generated, source-backed answers to medical questions. 

“AI is moving beyond administrative tasks and beginning to play a meaningful role in clinical decision support,” Duke said. 

Within electronic health records, AI is being used to generate clinical notes from patient-provider conversations and summarize complex patient charts. While healthcare systems have moved most quickly on efficiency-focused applications, Duke said AI is steadily becoming part of everyday clinical practice. 

Still, he believes human oversight will remain essential. 

“One of the biggest long-term questions is whether physicians trained alongside AI will develop the same level of independent clinical judgment as previous generations,” he said. 

Expanding Access Beyond the Doctor's Office 

Researchers also see AI creating new opportunities outside hospitals and clinics. 

Munmun De Choudhury, professor in the School of Interactive Computing, said AI is helping public health systems identify emerging mental health concerns by analyzing digital and clinical data. 

“AI is enabling public health systems to move from reactive to more proactive approaches by identifying emerging mental health concerns from diverse digital and clinical data sources,” De Choudhury said. 

Those insights may create opportunities for earlier intervention. 

“AI has the potential to identify subtle behavioral changes that precede worsening mental health, creating opportunities for earlier support before someone reaches a crisis,” she said. 

Alexander Adams, assistant professor in the School of Interactive Computing, studies wearable sensing systems, remote patient monitoring technologies, and point-of-care health tools. He said advances in AI are accelerating innovation in areas such as pharmaceuticals, medical imaging, simulation, and biomarker discovery. 

“The biggest changes I am seeing are the increased productivity in pharmaceuticals, medical imaging, simulation, and biomarker discovery,” Adams said. “That has a downstream impact on what we can measure at the point of care.” 

According to Adams, smartphones and wearable devices have become increasingly important healthcare tools because of the amount of data they collect. 

“No stand-alone medical devices generate nearly as much data as smartphones and smartwatches, making them a natural place for modern AI,” he said. 

He also sees significant potential for AI-enabled technologies to improve access in rural and underserved communities. 

“These technologies are especially important for underserved and rural populations that often have less access to care and face higher risks of complications,” Adams said. 

Balancing Innovation and Human Connection 

Despite growing interest in AI, researchers caution that adoption is not without challenges. 

“The real opportunity lies not in building more autonomous AI, but in designing systems that strengthen human judgment, clinical expertise, and community care,” De Choudhury said. 

Although AI has advanced rapidly, its impact on chronic disease management has remained limited, said Rosa Arriaga, professor in the School of Interactive Computing. 

“AI holds a lot of promise but hasn't delivered much in the way of real-world applications,” Arriaga said. 

She also raised concerns about how increased reliance on data-driven tools could affect interactions between clinicians and patients. 

“The fear is that clinicians become ‘data checkers’ and have even less interaction with patients,” she said. 

At the same time, Arriaga said AI is having its greatest impact in the mental wellness space. 

“There are now randomized controlled trials showing that some people are willing to receive ‘therapy’ from an AI agent and that this intervention is beneficial,” she said. 

However, she cautioned that those developments should be considered alongside potential risks. 

“Greater interactions with AI may lead to greater isolation, and parasocial relationships with AI may erode the social fabric,” Arriaga said. 

Shaping the Next Era of Healthcare 

Despite differing views on the opportunities and challenges, the researchers see AI becoming a lasting part of healthcare. 

“AI is accelerating everything,” Adams said. “Even through rapid iteration and simulation alone, it will accelerate medical devices and point-of-care technologies.” 

As healthcare organizations continue to explore where AI can improve care, researchers say the future of medicine will depend not only on technological advances but also on how effectively those tools support the people who deliver and receive care. 

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Siobhan Rodriguez
Georgia Institute of Technology 
Institute Communications

Jul. 28, 2026
Field tour attendees in Soperton, Georgia.

Field tour attendees in Soperton, Georgia.

Forest in Soperton, Georgia

Forest in Soperton, Georgia

Touring a recreational working forest in Metter, Georgia.

Touring a recreational working forest in Metter, Georgia.

Collaboration image of Herbert Hodges showing his farm estate.

Herbert Hodges displays photos: one of his father, Willie Hodges, and the other of his father, brother, and mother (photo credit: Sandra S. Hodges). Hodges leads a tour of the Willie Hodges Family Farm Estate.

Collaboration image of the field tour in south Georgia

Clockwise from top left: Viewing habitat for gopher turtles. Hurricane Helene damage in Soperton, Georgia, on land owned by Gillis Ag and Timber. Attendees learn about the Georgia Carbon Exchange. Foresters share how Hurricane Helene and market changes have impacted their industry and community.

“The people of Georgia depend on forests for clean air, water quality, wildlife abundance, and a multitude of products consumed in our everyday lives. Our forests are also a sustainable and natural resource that can deliver climate benefits,” said Lucas Clay, extension professional at the Ray C. Anderson Center for Sustainable Business at the Georgia Tech Scheller College of Business. This message was a main takeaway from a field tour held January 29-30, 2026, across working forests in Southeast Georgia. 

Organized by the Georgia Forestry Foundation (GFF) in partnership with the Ray C. Anderson Center for Sustainable Business at the Georgia Tech Scheller College of Business, Clemson University, and the University of Georgia (UGA) Warnell School of Forestry and Natural Resources, the trip brought together university researchers, foresters, potential carbon credit buyers, and family landowners. 

Georgia is the number one forestry state in the country, with more than 22 million of its roughly 24 million forested acres held in private hands. According to the Southern Group of State Foresters, forests and the forest products industry in the Southern U.S. provide for more than 18% of the world’s pulpwood for paper and paper-related products and 7% of the world’s industrial roundwood. The timber industry also supports thousands of rural livelihoods and sequesters enormous amounts of carbon. Yet today, Georgia forests are under pressure due to natural disasters and market changes. 

The field tour promoted a Georgia-specific carbon exchange that has the potential to save forests, help companies purchase high quality carbon credits, and provide co-benefits for the entire state. 

Pressure Points: Helene’s Wake and Market Headwinds 

Across pine-forested Southeast Georgia, the devastation left by Hurricane Helene remains impossible to miss. A year and a half later, the cleanup – which is slow, expensive, and disheartening – is still ongoing across thousands of acres. Downed timber, too old to be sold for profit, lies in heaps. Throughout the field tour, landowners and foresters shared personal narratives that made it easy to feel the weight of what has been lost. 

Helene only worsened troubles that were already underway. The markets for timber and pulpwood have been weakening. Demand for paper products has fallen sharply, taking pulpwood prices with it. In the last year alone, three mills have closed in Georgia. 

Do I bother to replant? If I plant, will someone actually buy my timber in 20 years? These are the questions landowners across Georgia are wrestling with. Landowners’ decisions today can lead to a future with fewer forested acres, less healthy forests, and forests converted to development – a loss that is permanent. 

The pressing question throughout the field tour was: What happens next? 

Storytelling Matters: The Power of the Personal 

One of the benefits of a field tour is the chance to hear firsthand, personal accounts from the people whose livelihoods depend on forests. 

The tour began in Emanuel County at the Willie Hodges Family Farm Estate. Herbert Hodges welcomed the group to the 600-acre property his family has stewarded for four generations. Hodges shows his respect for the land through thoughtful stewardship – for which he was honored when he was named 2025 Conservationist of the Year by the Georgia Association of Conservation Districts. However, Hodges worries whether the fifth generation will keep the land, and he wants to demonstrate to his heirs that the land is worth holding onto. He remembers his father telling him, “Never get rid of the land. As long as you keep it, you have somewhere to live, somewhere to go.” 

Matt Hestad, senior vice president of GFF, said, “Mr. Hodges has to identify new opportunities for his property not only to keep his family engaged but also to prove the land is economically valuable, both today and into the future.” 

The carbon exchange, if built well, could be exactly that kind of new opportunity. 

Building a Georgia Carbon Exchange 

The initiative to develop a Georgia Carbon Exchange, launched in 2025, is being led collaboratively by the organizers of the field tour. It’s designed to create a voluntary carbon credit marketplace specifically tailored to Georgia’s forest landscape, Georgia’s landowners, and companies that are interested in purchasing high quality carbon credits. 

David Eady, director of industry engagement at the Ray C. Anderson Center for Sustainable Business, described the vision: “We're looking at creating a marketplace for companies doing business in Georgia or headquartered in Georgia, so they can acquire credits that specifically benefit local communities and ecosystems. We want to make sure that we can continue to manage our valuable forest resources that make up well over half of the land in Georgia.”   

“Companies are concerned about sustainability because their customers are – and one of the things that that's manifested is a market for carbon credits,” said Leslie Boby, director of the UGA Southern Regional Extension Forestry. “Being in forestry, we have the original carbon sequestration system: trees. And we have a lot of trees in Georgia.” 

The foundation for the Georgia Carbon Exchange already exists, waiting to be built on. 

All the Players at the Table 

The January tour was a pilot that can be replicated for other groups of potential carbon buyers, policymakers, and stakeholders who need to understand what is at stake in Georgia’s forests before they can meaningfully invest in their future. 

Hestad described what made this first tour valuable: “We need all the players at the table: academics, buyers, and landowners. I feel like we’ve learned from a variety of people about forest management – from a private family landowner about intergenerational challenges, from a recreation-focused landowner about wildlife management, and from landowners who have been impacted by Hurricane Helene. We’ve been provided with context for how a carbon exchange could serve those different sectors of landowners.” 

For industry representatives on the tour, the experience was eye-opening. They joined the tour to learn more about recovery efforts, community support, and the mechanics of a carbon exchange. At the end of the tour, they said they had a clearer sense of both the urgency and the opportunity. 

Clay said, “Landowners are focused on the economics of forestry, and buyers are looking for quality credits. I think there's a lot of opportunity for both of these things to happen.” 

A successful carbon exchange requires trust, understanding, and shared purpose to be cultivated deliberately. Tours like this one are part of that cultivation. 

A Common Goal in Focus 

Georgia has everything it needs to make a carbon exchange work: the forests, the science, the institutions, and the will. What it needs now is exactly what the field tour was designed to build: awareness, connection, and shared commitment among the people and organizations whose decisions will shape the future of the state’s forests. 

Zach Johnson, procurement manager at Beasley Timber Management, LLC, told the group: “With every one green ton of tree growth, you sequester approximately one metric ton of carbon dioxide from the atmosphere. Let’s find a way to certify this wonderful resource we have and prop up these jobs in Georgia – before it’s too late.” 

Maintaining Georgia’s forests is not only about carbon. Well-managed forests filter water, support native wildlife, improve air quality, protect public health, and provide opportunities for outdoor recreation. These are co-benefits that a carbon credit does not fully capture but that are very much part of the value proposition for maintaining Georgia’s private forests. As stated by Yanshu Li, associate professor of forest economics at UGA: “If we take care of our forests, our forests will take care of us.” 

Among the pines of Southeast Georgia, a common goal came into focus. The forests are worth saving. And the right people are coming together with the right plan to make it happen. 

News Contact

To learn more about the Georgia Carbon Exchange and upcoming field tours, contact Lucas Clay. 

Written by Jennifer Holley Lux 

Photography (unless otherwise noted) by Mike Gregory (Georgia Forestry Association & Foundation) 

Jul. 27, 2026
woman taking notes during class

Adobe Stock

Admissions applications, discussion posts, grades, and activity logs are among the most common signals educators use to gauge whether students will thrive in an online program. But two new Georgia Tech studies suggest those measures tell only part of the story.

One study found that admissions data offers limited insight into long-term academic success. The other challenges assumptions about so-called "lurkers," students who rarely post in online discussions but may still be deeply engaged in their courses. Together, the studies suggest that what matters most for student success may not be the easiest thing to measure.

Presented at the Learning@Scale conference in Seoul, South Korea, the research draws on data from Georgia Tech's Online Master of Science in Computer Science (OMSCS) program, one of the world's largest online degree programs. The program's scale gives researchers access to data from thousands of learners and allows them to identify patterns that would be difficult to detect in smaller educational settings.

Predicting Success

The long-term success study analyzed years of admissions and student performance data to examine whether application materials can predict what happens after a student applies. The research focused on three practical issues that can influence student success: who gets admitted, whether the admitted students matriculate, and who ultimately completes the program. OMSCS has always had a unique admissions model that focuses more on holistically evaluating a student’s background rather than GPAs or GRE scores and does not require applicants to have a strong computer science background or undergraduate education. 

"OMSCS has always followed a different admissions model from basically everyone else in higher education, so we can't draw from prevailing wisdom about what students to admit," said David Joyner, interim vice provost for AI in Education and executive director of online education and OMSCS. "Enough time has passed since we moved to a new admissions system that we finally could step back and look at what factors predicted success."

The researchers found that application materials could reasonably predict admissions and matriculation decisions. But when it came to forecasting retention and long-term success, early-course performance — not application information — played an outsized role in predicting whether students would remain in the program.

"I've always thought that success is most predicted by invisible factors like intended time commitment and external incentive to success," Joyner said. "But I thought there would be some signal in the application data. It's encouraging that there's not."

Learning About Lurking

Another indicator of student success is participation. It's often assumed that students who primarily read discussion forums rather than actively posting in them — sometimes called "lurkers" — are less engaged in their courses. Marjorie Ivy, lead author of the second study on lurkers and a 2025 OMSCS graduate, became interested in the topic through her own online learning experience.

"I've been that student in an online course who reads every discussion thread, thinks deeply about the material, feels genuinely connected to what's happening in the class — and never posts," Ivy said. "That mismatch between what activity logs say about a student and what the student is actually experiencing is what drew me to this topic. I wanted to see if we could give data and language to the quieter forms of engagement that often go unnoticed."

To better understand those students, the researchers looked beyond behavioral data and examined how learners perceived their social experiences in a course. Students completed surveys about belonging, peer interaction, and whether they felt their contributions were acknowledged. Using similarity algorithms and network analysis that examines relationships between different people, the researchers grouped students into clusters of learners who shared similar attitudes about their course experiences. The results revealed that some students who rarely posted still reported feeling connected to their classmates and learning community. 

Looking Beyond the Numbers

Although the studies examine different stages of the student journey, they arrive at a similar conclusion: Visible metrics often miss important parts of the learning experience. Understanding student success may require looking beyond what is easiest to count.

"My biggest hope is this program will signal to other universities how broken our traditional admissions model is," Joyner said. "We should be giving more students the chance to succeed, because higher education is not currently accommodating plenty who can succeed."

 

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Tess Malone, Senior Research Writer/Editor

tess.malone@gatech.edu

Jul. 27, 2026
Yuanzhi Tang

Yuanzhi Tang

Yuanzhi Tang, executive director of the Strategic Energy Institute (SEI) and Georgia Power Professor in the School of Earth and Atmospheric Sciences, has been named an American Chemical Society (ACS) Fellow. 

The ACS is one of the world’s largest scientific societies, and its Fellows Program recognizes outstanding achievements in scientific research, education, leadership, and service to the chemical profession and honors a select group of members each year.

"Election as an ACS Fellow is a significant honor that recognizes not only scientific excellence but also leadership and service to the profession," said Julia Kubanek, Georgia Tech's vice president for Interdisciplinary Research. "Yuanzhi's pioneering research, her leadership within ACS and the Strategic Energy Institute, and her commitment to advancing interdisciplinary collaboration have strengthened Georgia Tech's impact in chemistry, energy, and environmental research. We are proud to celebrate this well-deserved recognition."

Tang was recognized for her contributions to environmental chemistry, biogeochemistry, and energy-related research, as well as for her leadership and service to the chemical sciences.

"Given her exceptionally energetic research program, which spans topics ranging from the basic understanding of chemical cycling on Earth to creative solutions to recover rare elements from wastes, this honor is richly deserved and completely unsurprising," said Jean Lynch-Stieglitz, chair of the School of Earth and Atmospheric Sciences. "We are lucky to have Yuanzhi as part of EAS."

As SEI executive director, Tang leads Institute-wide efforts to strengthen Georgia Tech's energy research enterprise by connecting expertise across disciplines and fostering partnerships with industry, government, and national laboratories. She also maintains an internationally recognized research program focused on understanding the chemical and biological processes that shape natural and engineered environments.

Established in 2008, the ACS Fellows Program honors a distinguished group of scientists who have made exceptional contributions to chemistry and related fields while also demonstrating dedicated service to the society. With this election, Tang joins 17 Georgia Tech ACS Fellows.

"I’m deeply honored," Tang said. "This recognition reflects the contributions of many outstanding students, postdoctoral researchers, colleagues, collaborators, and mentors throughout my career. I am grateful for the opportunity to work alongside such talented people to advance scientific discovery and build interdisciplinary partnerships that address critical energy and environmental challenges."

Founded in 1876, the American Chemical Society represents more than 170,000 members worldwide and is a leading source of scientific information through its journals, conferences, and educational programs.

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Priya Devarajan || SEI Communications Program Manager

Jul. 27, 2026
Staghorn coral samples used in Lauren Speare's research.
Staghorn coral samples used in Lauren Speare's research.
Lauren Speare sampling corals in the lab.

Lauren Speare sampling corals in the lab.

A microscopic predator may offer a new way to protect some of the Caribbean’s most endangered corals. Georgia Tech researchers found that tiny predatory bacteria can halt the spread of a destructive coral disease by hunting and consuming pathogens responsible for the infection.

Caused by the Vibrio coralliilyticus pathogen, the infection is one of the most notorious causes of tissue loss and death in stony corals. In the study, all untreated corals bleached within 48 hours. But corals exposed to the predatory bacteria fared much better: more than half showed no signs of bleaching beyond the infection site — and disease progression was effectively halted. 

“Disease is a major driver of death for these corals, and with sea surface temperatures continuing to rise globally, we anticipate that rates of disease will only increase. It’s part of a deadly synergy profoundly threatening Caribbean coral reefs,” says lead author Lauren Speare, assistant professor in the School of Biological Sciences. “Predatory bacteria function like a living probiotic, fighting coral disease without harsh side effects. This could be a targeted way to protect and treat our most vulnerable coral reefs."

The study, “Halobacteriovorax Halts Disease Progression in Endangered Caribbean Corals,” was published in The ISME Journal. In addition to Speare, the research team included Georgia Tech master's student Chloe Manley and postdoctoral scholar Macey Coppinger; University of California, Santa Barbara graduate students Sunni Patton and Eddie Fuques, and Professor Rebecca Vega Thurber, director of the UCSB Marine Science Institute.

Natural Defenders

Speare became interested in the research while completing her postdoctoral training with Thurber. “Dr. Thurber discovered that predatory bacteria are present in many coral microbiomes,” Speare recalls. “We theorized that they might be contributing to what keeps the ecosystem healthy, balancing it through predation.” 

At the time, the theory was hard to test. Marine predatory bacteria are difficult to preserve long-term, making experiments challenging. The bacteria are also extremely scarce, with populations increasing during a coral infection and rapidly declining after. Catching them while their populations are high is a matter of timing, Speare says.

"It's a bit like trying to catch a mountain lion in the act of hunting a deer. If we aren’t looking at the right time, we might miss it entirely,” Speare says. “I knew that if I wanted to study these bacteria in more detail, I would need to carefully design my experiments and timing.”

Testing the Treatment

To test their theory, the team spent six weeks conducting experiments at the Mote’s Elizabeth Moore International Center for Coral Reef Research and Restoration (IC2R3) in Summerland Key, Florida, a facility that maintains lab-grown living corals in seawater aquariums.

“First, we had to make our corals sick,” Speare says. “But there wasn’t an established way to reliably create these infections in this species in a laboratory setting.”

After weeks of experimenting, Speare developed a “pathogen-sticker,” a small agar patch containing the disease-causing pathogens. When placed at the coral’s base, it mimics how infections spread in the wild.

Then, at the first sign of infection, the team treated the coral with the Halobacteriovorax predatory bacteria. “Surprisingly, the most effective method was to pour the bacteria directly into the sick coral’s tank,” Speare says. “The bacteria are tiny, so we were able to create a concentrated liquid of them by using a filter small enough that only they can pass through.”

Halobacteriovorax are among the fastest-known predatory bacteria, and quickly navigate to their food source – presumably the pathogen causing the infection.

From Aquariums to Oceans

Because of the straightforward delivery method, Speare believes the team’s methods could be readily adapted for coral restoration efforts, offering a simple way to deliver treatment on natural reefs.

“There are several approaches to treating corals and mitigating stress, but these techniques don’t work for all situations and all species,” she explains. “Corals are complex, and there is no single cure-all, so we need as many tools as possible to help corals survive.”

For Speare, the next step will be to move from lab-based work to reef environments.  She’s particularly curious as to why the predatory bacteria aren’t already moderating illness on natural reefs. “If this is such an effective way to control pathogens, why isn’t this system preventing disease outbreaks on reefs already?" she says. "We need to understand what's limiting this natural defense system – and that’s what we’re digging into next."

 

 

Funding: Lauren Speare was supported as a Simons Foundation Awardee of the Life Sciences Research Foundation. The Vega Thurber Lab was funded by the National Science Foundation.

DOI: https://doi.org/10.1093/ismejo/wraf270

News Contact

Selena Langner 
Technical Research Writer / Editor 
Georgia Tech College of Sciences

Jul. 27, 2026
A graphic for Vernoica Rivera, CRA Trusterworthy AI Research Fellowship

As artificial intelligence (AI) becomes more integrated into everyday life, researchers are working to better understand and reduce the new digital safety risks it creates. 

Veronica Rivera, an incoming assistant professor in Georgia Tech's School of Cybersecurity and Privacy (SCP), studies human-computer interaction, security, and privacy to create safer digital experiences. Her research earned her selection to the second cohort of the Computing Research Association (CRA) Trustworthy AI Research Fellowship for Early Career Scholars.

"I am excited and honored to be part of this year's CRA Trustworthy AI Research Fellowship cohort," said Rivera. 

"This program reflects the importance of cross-disciplinary research and collaboration in building AI systems that benefit and support society. I look forward to spending the next year building collaborations that support me and my students' research into protecting the digital safety of the diverse communities who use AI tools."

Rivera's research examines how technology shapes interpersonal relationships. Using empirical and design-based methods, she partners with communities affected by technology-facilitated abuse to understand digital safety risks and develop technologies that better protect users.

Through the fellowship, Rivera will study how AI is reshaping technology-facilitated abuse and develop data collection methods that enable researchers to assess these evolving risks over time.

"Trustworthy AI is a key research area in the School of Cybersecurity and Privacy and the College of Computing," said SCP Interim Chair Mustaque Ahamad. "The CRA Trustworthy AI Research Fellowship recognizes Veronica's innovative research and will help her build a research program that advances an area of strategic importance to our school and the broader AI community."

Supported by Microsoft, the CRA Trustworthy AI Research Fellowship recognizes early-career computing researchers who combine technical expertise with interdisciplinary approaches to address the ethical, societal, and human-centered challenges of artificial intelligence. The fellowship provides interdisciplinary training, mentorship, and collaboration opportunities that help researchers integrate ethical, societal, and human-centered perspectives into AI research and development.

Over the next year, Rivera and the other fellows will participate in a series of professional development activities, including a four-day Field School in Cambridge, Massachusetts. The program also includes quarterly virtual meetings, mentoring opportunities, and collaboration with scholars participating in related AI and data ethics programs.

News Contact

John Popham

Communications Officer II at the School of Cybersecurity and Privacy

Jul. 24, 2026
Diagram illustrating a nanoscale 3D printing process using a femtosecond near-infrared laser, mirrors, lenses, and a digital micromirror device to project patterned light into a photoresist on a glass slide.

Comparison of nanoscale 3D-printed structures produced without grayscale patterning (top row) and with grayscale projection two-photon lithography (GP-TPL) (bottom row). The top row shows scanning electron microscope images with defects such as bulging struts, uneven surfaces, collapsed internal features, and distorted curved structures, highlighted by red arrows. The bottom row shows the same structures fabricated with GP-TPL, exhibiting smoother surfaces, more uniform lattice geometry, well-defined curved features, and significantly thinner, higher-fidelity bridges as narrow as 53 nanometers. Insets provide magnified views of the improved lattice quality. Scale bars range from 50 micrometers to 53 nanometers.

Diagram illustrating a nanoscale 3D printing process using a femtosecond near-infrared laser, mirrors, lenses, and a digital micromirror device (DMD) to project patterned light into a photoresist on a glass slide.

Researchers at the George W. Woodruff School of Mechanical Engineering have developed a new approach to nanoscale 3D printing that improves both speed and fidelity, overcoming a challenge that has limited the technology's broader use in manufacturing.

Their work, led by Sourabh Saha, associate professor and Woodruff Faculty Fellow, and Harnjoo Kim, who conducted the research during his doctoral studies and later as a postdoctoral fellow in Saha's lab, was recently published in the journal Nature Communications.

Nanoscale 3D printing allows researchers to create structures thousands of times smaller than the width of a human hair. These structures have potential applications in fields ranging from advanced computing and optics to biomedical devices and clean energy technologies. However, increasing printing speed often comes at the expense of quality.

Read the full story on the George W. Woodruff School of Mechanical Engineering website 

News Contact

Tracie Troha

George W. Woodruff School of Mechanical Engineering 

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