School Shootings Lower Spending by Millions in Affected Communities

Pattabhiramaiah

School shootings occur almost weekly in the U.S., with effects rippling beyond the school district where a shooting happened. New research from Georgia Tech shows that spending at local businesses across an affected community declines for at least six months. 

Following school shootings, community members are 2% less likely to shop at area grocery stores. Convenience shops and liquor stores lose 3% of their business during this period. Restaurant and bar patronage drops even further — to 8%. 

Cumulatively, a local economy can lose $5.4 million over six months. 

“We set out to explore whether school shootings would have a direct causal impact on community economic activity,” said Adithya Pattabhiramaiah, Sharon A. and David B. Pearce Professor in the Scheller College of Business. “It may seem like a 2% loss is small, but that can add up to a pretty sizable revenue impact for a retailer with small margins.” 

The Data

The three-year study combined statistical data and experimental interviews. The researchers started by examining NielsenIQ data, which tracks what shoppers buy at stores by county. Their NielsenIQ sample included 63 fatal school shootings between 2012 and 2019. Next, the researchers combined this with a Center for Homeland Defense and Security dataset of school shootings. They also examined a study of the nutritional value of products people bought at grocery stores in areas with school shootings. 

The researchers hypothesized that people buy unhealthier foods to cope with negative emotions. Instead, their analysis showed people don’t buy comfort food after school shootings — because they generally don’t shop at all.

Pattabhiramaiah and his collaborators compared these datasets with those of neighboring counties that did not experience a school shooting. They followed purchasing patterns for a year, from six months before the event through six months after. The study’s statistical controls helped rule out other reasons people might shop less, such as weather events or holidays.

The Emotional Impact

It was important to the researchers to show that people not only spend less, but also why. So, the team conducted experimental studies in which participants read a hypothetical shooting scenario and were asked to share their emotional response to it and discuss how such an event might affect their shopping. 

This experimental data backed up the numbers. People are more likely to consolidate their shopping trips and dine out less. This often comes down to anxiety about being in public. 

“We show the main driver isn’t fear, or even sadness,” Pattabhiramaiah said. “If that were the case, we would see evidence of people indulging in comfort foods, as past studies have shown. Rather, the main feeling is anxiety.” 

One thing is clear from Pattabhiramaiah’s research. Policymakers need to think about how to help their communities recover when school shootings occur. Thriving local businesses are a sign of a community’s economic health — and also its emotional well-being. 

 
News Contact

Tess Malone, Senior Research Writer/Editor

tess.malone@gatech.edu

From Isekai to IT: How an Esports Startup Builds the Workforce

Group of people posing at competition.

The Isekai team at the March 2025 competition.

More than 1,000 cosplayers, gamers, and nerds took over Macon, Georgia’s, annual Cherry Blossom Festival in late March. They were there for the fourth year of the CBF Isekai convention, which celebrates all things anime, cosplay, and esports, but Isekai offers more than a weekend of fun. Participants could enter gaming competitions that might help them land a future cybersecurity or IT job. 

CBF Isekai is sponsored by SON Technologies — short for Swagged Out Nerds — a Macon esports company focused on workforce development. SON believes the best gamers can also become promising IT professionals. 

A startup founded by two Air Force veterans, SON is already making a name for itself in the esports world and has support from Georgia Tech. It is one of the Accelerate companies in the startup portfolio of Tech’s Advanced Technology Development Center (ATDC), one of the oldest and most successful university-affiliated incubators in the United States.

Swagged Out Start

SON founders Jason Clarke and John Robinson first met when they both worked in cybersecurity in the Air Force. As they transitioned to civilian IT careers, they realized a perhaps unlikely source sparked their IT expertise — video games. In 2019, the two partnered to create an esports competition team for veterans, but they knew the company’s mission could be bigger.

“When people think of gamers, you think of a 40-year-old person in their mom’s basement,” Clarke said. “But we wanted to change the perception. Gamers have employable skills that can be used for substantial IT work.”

For example, when a person plays a multiplayer game like Fortnite, they can assume a leadership role, delivering directives to their teams. What may look like mere play actually entails planning, organizing, and executing. Even a simple task like troubleshooting a household wi-fi network is a skill that can be expanded on with the right training.

From Player to Professional

SON wants both kid and adult gamers to know they have options. They regularly host gaming tournaments and conventions to find people who would be right for their programs and cultivate community. Through a partnership with digital education company Aperion Global Institute and cybersecurity certification organization EC-Council, Clarke and Robinson administer a high school-level curriculum highlighting the synergies between IT and gaming. 

Adults also have opportunities. Past SON tournament competitors can take an eight-week program, Sticks to Clicks, to turn their gaming skills into IT proficiency. These initiatives come at a crucial time: Between now and 2030, according to O*NET OnLine, 51,000 cybersecurity jobs in the state of Georgia are expected to be vacant. 

Game-Changing Career Paths

The programs’ benefits are already tangible. One adult participant in Sticks to Clicks had an annual income of less than $10,000 before joining the program. In the first seven weeks, he earned a certification in CompTIA Security+. In the eighth and final week, he interviewed with some of SON’s workforce partners. He was ultimately hired to install network infrastructure for $46,000 a year. 

High school students have had similar success. In the 2025-26 school year alone, 150 students went through the SON program and received stackable credentials that can prepare them for IT careers even if they don’t go to college. 

All of this momentum got ATDC’s attention, and SON Tech was accepted as a portfolio company in Fall 2024. Both Georgia AIM and the Air Force went to Macon for the 2025 Isekai convention and met potential employees firsthand. They saw that SON was just getting started.

The ATDC Connection

SON joined ATDC in 2024 under the AI and Manufacturing vertical sponsored by Georgia AIM, a statewide coalition to advance manufacturing using AI. SON is one of ATDC’s first middle Georgia companies, but the entire state will experience benefits. Through ATDC, SON can use Georgia Tech resources, meet experts in grant applications and corporate networking, and plug into the startup ecosystem in Atlanta. The three-to-five-year program helps startups scale up. 

“The truth is when you’re starting a company, the first few years are the worst of your life,” said Nwanyinma Dike, who serves as the Georgia AIM and ATDC liaison. In this role, she advises SON. “Connecting into a community of folks rooting for you, listening to you, helping you breathe through whatever challenges occur is one of the most valuable resources ATDC has to offer.”

The size of the March Isekai event was only possible thanks to ATDC’s support. They helped SON fundraise by finding the right sponsors.

“We went from starting this convention in a pizza shop to now packing an entire plaza downtown,” Clarke said. “To see the growth is amazing. We've received a lot of industry backing because of the creative ways we're helping workforce development.”

Dike wants to ensure the event wasn’t a one-off and that SON can keep up the momentum. SON is already planning an even bigger 2026 Isekai convention, with exciting new partners in the pipeline who want to share in the energy of this creative workforce development solution and movement.

SON also announced a partnership with gaming company Blaze Fire Games and the Houston County School District. The school district can access Blaze Fire Games’ Recruit, Reclaim, and Retain career pathway program, which is designed to help close the technology industry’s vast talent gap.

“The partnership is exciting because it represents more than creating and launching an esports club,” said Isiah Reese, CEO and co-founder of Blaze Fire Games. “This agreement allows our company to continue creating opportunities and develop relevant, sustainable career-readiness skills required to compete in today’s environment.”

Sherri Johnson, the CEO and principal of Houston County College and Career Academy, agrees. "The partnership is a real game-changer for our students. These unique, forward-thinking, 21st-century digital economy workforce educational courses will empower our instructors to reimagine and enhance classroom learning within our cybersecurity and gaming career pathway programs.”

SON is ready to rise to whatever industry or challenge needs their model next. What they have been able to do for the IT and cybersecurity fields could eventually be applied to the Federal Aviation Administration or even healthcare technician jobs. There’s an entirely new way to develop the tech world field, and it may not start in a classroom but with a controller.

 
News Contact

Tess Malone, Senior Research Writer/Editor

tess.malone@gatech.edu

Georgia Tech Study Hopes to Prevent Cislunar Collisions as Moon Missions Increase

NASA's Lunar Trailblazer in Orbit Around the Moon (Artist's Concept)

NASA's Lunar Trailblazer in Orbit Around the Moon (Artist's Concept). Image furnished by NASA.

As more satellites launch into space, the satellite industry has sounded the alarm about the danger of collisions in low Earth orbit (LEO).  What is less understood is what might happen as more missions head to a more targeted destination: the moon.

According to The Planetary Society,  more than 30 missions are slated to launch to the moon between 2024 and 2030, backed by the U.S., China, Japan, India, and various private corporations. That compares to over 40 missions to the moon between 1959 and 1979 and a scant three missions between 1980 and 2000.

A multidisciplinary team at Georgia Tech has found that while collision probabilities in orbits around the moon are very low compared to Earth orbit, spacecraft in lunar orbit will likely need to conduct multiple costly collision avoidance maneuvers each year. The Journal of Spacecraft and Rockets published the Georgia Tech collision-avoidance study in March.

“The number of close approaches in lunar orbit is higher than some might expect, given that there are only tens of satellites, rather than the thousands in low Earth orbit,” says paper co-author Mariel Borowitz, associate professor in the Sam Nunn School of International Affairs in the Ivan Allen College of Liberal Arts.

Borowitz and other researchers attribute these risky approaches in part to spacecraft often choosing a limited number of favorable orbits and the difficulty of monitoring the exact location of spacecraft that are more than 200,000 miles away.

“There is significant uncertainty about the exact location of objects around the moon. This, combined with the high cost associated with lunar missions, means that operators often undertake maneuvers even when the probability is very low — up to one in 10 million,” Borowitz explains. 

The Georgia Tech research is the first published study showing short- and long-term collision risks in cislunar orbits. Using a series of Monte Carlo simulations, the researchers modeled the probability of various outcomes in a process that cannot be easily predicted because of random variables. 

“Our analysis suggests that satellite operators must perform up to four maneuvers annually for each satellite for a fleet of 50 satellites in low lunar orbit (LLO),” said one of the study’s authors, Brian Gunter, associate professor in the Daniel Guggenheim School of Aerospace Engineering. 

He noted that with only 10 satellites in LLO, a satellite might still need a yearly maneuver. This is supported by what current cislunar operators have reported. 

Favored Orbits

Most close encounters are expected to occur near the moon’s equator, an intersection point between the orbit planes of commonly used “frozen” and low lunar orbits, which are preferred by many operators. Other possible regions of congestion can occur at the Lagrangian points, or regions where the gravitational forces of Earth and the moon balance out. Stable orbits in these regions have names such as Halo and Lyapunov orbits. 

“Lagrangian points are an interesting place to put a satellite because it can maintain its orbit for long periods with very little maneuvering and thrusting. Frozen orbits, too. Anywhere outside these special areas, you have to spend a lot of fuel to maintain an orbit,” he said.

Gunter and other researchers worry that if operators aren’t coordinated about how they plan lunar missions, opportunities for collision will increase in these popular orbits.

“The close approaches were much more common than I would have intuitively anticipated,” says lead study author Stef Crum.

The 2024 graduate of Georgia Tech’s aerospace engineering doctoral program notes that, considering the small number of satellites in lunar orbit, the need for multiple maneuvers was “really surprising.”

Crum, who is also co-founder of Reditus Space, a startup he founded in 2024 to provide reusable orbital re-entry services, adds that the cislunar environment is so challenging because “it’s incredibly vast.”

His research also examines ways to improve object monitoring in cislunar space. Maintaining continuous custody of these objects is difficult because a target’s position must be monitored over the entire duration of its trajectory. 

“That wasn’t feasible for translunar orbits, given the vast volume of cislunar orbit, which stretches multiple millions of kilometers in three dimensions,” he says.

By estimating a satellite’s orbit using observed data and constraining the presumed location and direction of the satellite, rather than continuous tracking (a process known as continuous custody), Crum greatly simplified the process. 

“You no longer need thousands of satellites or a set of enormous satellites to cover all potential trajectories,” he explains. “Instead, one or a few satellites are required, and operators can lose custody for a time as long as the connection is reacquired later.”

Since the team started their study, there has been a lot of interest in the moon and cislunar activity — both NASA and China’s National Space Administration are planning to send humans to the moon. In the last two years, India, Japan, the U.S., China, Russia, and four private companies have attempted missions to the moon. 

Why the Moon

Spacefaring nations’ intense interest in exploring the lunar surface comes as no surprise given that the moon offers a variety of resources, including solar power, water, oxygen, and metals like iron, titanium, and uranium. It also contains Helium-3, a potential fuel for nuclear fusion, and rare earth metals vital for modern technology. With the recent discovery of water ice, it could be a plentiful source for rocket fuel that can be created from liquifying oxygen and hydrogen needed to launch deep space missions to destinations like Mars. In February, Georgia Tech announced that researchers have developed new algorithms to help Intuitive Machines’ lunar lander find water ice on the moon.

Commercial space companies like Axiom Space and Redwire Space, as well as space agencies, are actively building lunar infrastructure, from satellite constellations to orbital platforms to support communication, navigation, scientific research, and eventually space tourism. 

A key project involves the Lunar Gateway, a joint venture of NASA and international space agencies like ESA, JAXA, and CSA, as well as commercial partners. Humanity’s first space station around the moon will serve as a central hub for human exploration of the moon and is considered a stepping stone for future deep space missions.

Getting Ahead of a Gold Rush to the Moon

All this activity underscores the urgency to get out in front of potential crowding issues — something that hasn’t occurred in LEO, where near-miss collisions, or conjunctions, are frequent. LEO, which is 100 to 1,200 miles above the Earth’s surface, is host to more than 14,000  satellites and 120 million pieces of debris from launches, collisions, and wear and tear, reports Reuters.

“Using the near-Earth environment as an example, the space object population has gone from approximately 6,000 active satellites in the early 2020s to an anticipated 60,000 satellites in the coming decade if the projected number of large satellite constellations currently in the works gets deployed. That poses many challenges in terms of how we can manage that sustainably,” observed Gunter. “If something similar happens in the lunar environment, say if Artemis (NASA’s program to establish the first long-term presence on the moon) is successful and a lunar base is established, and there is discovery of volatiles or water deposits, it could initiate a kind of gold rush effect that might accelerate the number of actors in cislunar space.”

For this reason, Borowitz argues for the need to begin working on coordination, either in the planning of the orbits for future missions or by sharing information about the location of objects operating in lunar orbit. She pointed out that spacecraft outfitted for moon missions are expensive, making a collision highly costly. Also, debris from such a scenario would spread in an unpredictable way, which could be problematic for other objects.

Gunter agreed, noting, “If we’re not careful, we could be putting a lot of things in this same path. We must ensure we build out the cislunar orbital environment in a smart way, where we’re not intentionally putting spacecraft in the same orbital spaces. If we do that, everyone should be able to get what they want and not be in each other’s way.”

Borowitz says some coordination efforts are underway with the UN Committee on the Peaceful Uses of Outer Space and the creation of an action team on lunar activities; however, international diplomacy is a time-consuming process, and it can be a challenge to keep pace with advancements in technology.

She contends that the Georgia Tech study could provide baseline data that “could be helpful for international coordination efforts, helping to ensure that countries better understand potential future risks.”

Gunter and Borowitz say that follow-on research for the team could involve looking into the Lunar Gateway orbit and other special orbits to see how crowded that space will likely get, and then do an end-to-end simulation of these orbits to determine the most effective way to build them out to avoid collision risks. Ultimately, they intend to develop guidelines to help ensure that future space actors headed to the moon can operate safely.

 
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News Contact: Laurie Haigh

Writer: Anne Wainscott-Sargent

Georgia Tech to Build $20M National AI Supercomputer

Image of the Hive Gateway

Georgia Tech is also a host to the PACE Hive Gateway supercomputer (above). Nexus will use AI to accelerate scientific breakthroughs.

 The National Science Foundation (NSF) has awarded Georgia Tech and its partners $20 million to build a powerful new supercomputer that will use artificial intelligence (AI) to accelerate scientific breakthroughs. 

Called Nexus, the system will be one of the most advanced AI-focused research tools in the U.S. Nexus will help scientists tackle urgent challenges such as developing new medicines, advancing clean energy, understanding how the brain works, and driving manufacturing innovations. 

“Georgia Tech is proud to be one of the nation’s leading sources of the AI talent and technologies that are powering a revolution in our economy,” said Ángel Cabrera, president of Georgia Tech. “It’s fitting we’ve been selected to host this new supercomputer, which will support a new wave of AI-centered innovation across the nation. We’re grateful to the NSF, and we are excited to get to work.” 

Designed from the ground up for AI, Nexus will give researchers across the country access to advanced computing tools through a simple, user-friendly interface. It will support work in many fields, including climate science, health, aerospace, and robotics. 

“The Nexus system's novel approach combining support for persistent scientific services with more traditional high-performance computing will enable new science and AI workflows that will accelerate the time to scientific discovery,” said Katie Antypas, National Science Foundation director of the Office of Advanced Cyberinfrastructure. “We look forward to adding Nexus to NSF's portfolio of advanced computing capabilities for the research community.” 

Nexus Supercomputer — In Simple Terms 

  • Built for the future of science: Nexus is designed to power the most demanding AI research — from curing diseases, to understanding how the brain works, to engineering quantum materials. 
  • Blazing fast: Nexus can crank out over 400 quadrillion operations per second — the equivalent of everyone in the world continuously performing 50 million calculations every second. 
  • Massive brain plus memory: Nexus combines the power of AI and high-performance computing with 330 trillion bytes of memory to handle complex problems and giant datasets. 
  • Storage: Nexus will feature 10 quadrillion bytes of flash storage, equivalent to about 10 billion reams of paper. Stacked, that’s a column reaching 500,000 km high — enough to stretch from Earth to the moon and a third of the way back. 
  • Supercharged connections: Nexus will have lightning-fast connections to move data almost instantaneously, so researchers do not waste time waiting. 
  • Open to U.S. researchers: Scientists from any U.S. institution can apply to use Nexus. 

Why Now? 

AI is rapidly changing how science is investigated. Researchers use AI to analyze massive datasets, model complex systems, and test ideas faster than ever before. But these tools require powerful computing resources that — until now — have been inaccessible to many institutions. 

This is where Nexus comes in. It will make state-of-the-art AI infrastructure available to scientists all across the country, not just those at top tech hubs. 

“This supercomputer will help level the playing field,” said Suresh Marru, principal investigator of the Nexus project and director of Georgia Tech’s new Center for AI in Science and Engineering (ARTISAN). “It’s designed to make powerful AI tools easier to use and available to more researchers in more places.” 

Srinivas Aluru, Regents’ Professor and senior associate dean in the College of Computing, said, “With Nexus, Georgia Tech joins the league of academic supercomputing centers. This is the culmination of years of planning, including building the state-of-the-art CODA data center and Nexus’ precursor supercomputer project, HIVE." 

Like Nexus, HIVE was supported by NSF funding. Both Nexus and HIVE are supported by a partnership between Georgia Tech’s research and information technology units. 

A National Collaboration 

Georgia Tech is building Nexus in partnership with the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign, which runs several of the country’s top academic supercomputers. The two institutions will link their systems through a new high-speed network, creating a national research infrastructure. 

“Nexus is more than a supercomputer — it’s a symbol of what’s possible when leading institutions work together to advance science,” said Charles Isbell, chancellor of the University of Illinois and former dean of Georgia Tech’s College of Computing. “I'm proud that my two academic homes have partnered on this project that will move science, and society, forward.” 

What’s Next 

Georgia Tech will begin building Nexus this year, with its expected completion in spring 2026. Once Nexus is finished, researchers can apply for access through an NSF review process. Georgia Tech will manage the system, provide support, and reserve up to 10% of its capacity for its own campus research. 

“This is a big step for Georgia Tech and for the scientific community,” said Vivek Sarkar, the John P. Imlay Dean of Computing. “Nexus will help researchers make faster progress on today’s toughest problems — and open the door to discoveries we haven’t even imagined yet.” 

 
News Contact

Siobhan Rodriguez
Senior Media Relations Representative 
Institute Communications

Improved Cancer Detection, Better MRI Imaging Among 2025-2026 Biolocity Awardees

A photo shot from the back of a conference room with people sitting at conference tables while a person at the front of the room shows a presentation on a flat TV screen

Commercialization program in Coulter BME announces project teams who will receive support to get their research to market.

Five teams of researchers from Georgia Tech and Emory University were selected to accelerate their journey from lab to market. Projects include improved cancer detection and therapies, a precise surgical tool and better MRI imaging. Teams will receive funding and commercialization support during the year. Read more about each project here.

 
News Contact

Kelly Petty   
Communications
Wallace H. Coulter Department of Biomedical Engineering

Georgia Tech to Build $20M National AI Supercomputer

Image of the Hive Gateway

Georgia Tech is also a host to the PACE Hive Gateway supercomputer (above). Nexus will use AI to accelerate scientific breakthroughs.

The National Science Foundation (NSF) has awarded Georgia Tech and its partners $20 million to build a powerful new supercomputer that will use artificial intelligence (AI) to accelerate scientific breakthroughs. 

Called Nexus, the system will be one of the most advanced, AI-focused research tools in the U.S. Nexus will help scientists tackle urgent challenges such as developing new medicines, advancing clean energy, understanding how the brain works, and driving manufacturing innovations. 

“Georgia Tech is proud to be one of the nation’s leading sources of the AI talent and technologies that are powering a revolution in our economy,” said Ángel Cabrera, president of Georgia Tech. “It’s fitting we’ve been selected to host this new supercomputer, which will support a new wave of AI-centered innovation across the nation. We’re grateful to the NSF, and we are excited to get to work.” 

Designed from the ground up for AI, Nexus will give researchers across the country access to advanced computing tools through a simple, user-friendly interface. It will support work in many fields, including climate science, health, aerospace, and robotics. 

“The Nexus system's novel approach combining support for persistent scientific services with more traditional high-performance computing will enable new science and AI workflows that will accelerate the time to scientific discovery,” said Katie Antypas, National Science Foundation director of the Office of Advanced Cyberinfrastructure. “We look forward to adding Nexus to NSF's portfolio of advanced computing capabilities for the research community.” 

Nexus Supercomputer — In Simple Terms 

  • Built for the future of science: Nexus is designed to power the most demanding AI research — from curing diseases to understanding how the brain works to engineering quantum materials. 
  • Blazing fast: Nexus can crank out over 400 quadrillion operations per second — the equivalent of everyone in the world continuously performing 50 million calculations every second. 
  • Massive brain + memory: Nexus combines the power of AI and high-performance computing, with 330 trillion bytes of memory to handle complex problems and giant datasets. 
  • Storage: Nexus will feature 10 quadrillion bytes of flash storage, equivalent to about 10 billion reams of paper. Stacked, that’s a column reaching 500,000 km high — enough to stretch from Earth to the Moon and a third of the way back. 
  • Supercharged connections: Nexus will have lightning-fast connections to move data almost instantaneously, so researchers do not waste time waiting. 
  • Open to U.S. researchers: Scientists from any U.S. institution can apply to use Nexus. 

Why Now? 

AI is rapidly changing how science is investigated. Researchers use AI to analyze massive datasets, model complex systems, and test ideas faster than ever before. But these tools require powerful computing resources that — until now — have been inaccessible to many institutions. 

This is where Nexus comes in. It will make state-of-the-art AI infrastructure available to scientists all across the country, not just those at top tech hubs. 

“This supercomputer will help level the playing field,” said Suresh Marru, principal investigator of the Nexus project and director of Georgia Tech’s new Center for AI in Science and Engineering (ARTISAN). “It’s designed to make powerful AI tools easier to use and available to more researchers in more places.” 

Srinivas Aluru, Regents’ Professor and senior associate dean in the College of Computing, said, “With Nexus, Georgia Tech joins the league of academic supercomputing centers. This is the culmination of years of planning, including building the state-of-the-art CODA data center and Nexus’ precursor supercomputer project, HIVE." 

Like Nexus, HIVE was supported by NSF funding. Both Nexus and the HIVE are supported by a partnership between Georgia Tech’s research and information technology units. 

A National Collaboration 

Georgia Tech is building Nexus in partnership with the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign, which runs several of the country’s top academic supercomputers. The two institutions will link their systems through a new high-speed network, creating a national research infrastructure. 

“Nexus is more than a supercomputer — it’s a symbol of what’s possible when leading institutions work together to advance science,” said Charles Isbell, chancellor of the University of Illinois and former dean of Georgia Tech’s College of Computing. “I'm proud that my two academic homes have partnered on this project that will move science, and society, forward.” 

Tech companies, whose technologies will power the system, will also play a role. 

What’s Next 

Georgia Tech will begin building Nexus this year, with its expected completion in spring 2026.  Once Nexus is finished, researchers can apply for access through an NSF review process. Georgia Tech will manage the system, provide support, and reserve up to 10% of its capacity for its own campus research. 

“This is a big step for Georgia Tech and for the scientific community,” said Vivek Sarkar, the John P. Imlay Dean of Computing. “Nexus will help researchers make faster progress on today’s toughest problems — and open the door to discoveries we haven’t even imagined yet.” 

 
News Contact

Siobhan Rodriguez
Senior Media Relations Representative 
Institute Communications

LIGO Detects Most Massive Binary Black Hole to Date

Artist's rendering of a collision of two black holes.

Artist’s rendering of a collision of two black holes. Image credit: Raul Perez and Davis Newell, Georgia Tech

The Laser Interferometer Gravitational-Wave Observatory (LIGO)’s LIGO-Virgo-KAGRA (LVK) collaboration has detected an extremely unusual binary black hole merger — a phenomenon that occurs when two black holes are pulled into each other's orbit and combine. Announced yesterday in a California Institute of Technology press release, the binary black hole merger, GW231123, is the largest ever detected with gravitational waves.

Before merging, both black holes were spinning exceptionally fast, and their masses fell into a range that should be very rare — or impossible. 

“Most models don't predict black holes this big can be made by supernovas, and our data indicates that they were spinning at a rate close to the limit of what’s theoretically possible,” says Margaret Millhouse, a research scientist in the School of Physics who played a key role in the research. “Where could they have come from? It raises interesting questions.”

A binary black hole merger absorbs characteristics from both of the contributors, she adds. “As a result, this is not only the most massive binary black hole ever seen but also the fastest-spinning binary black hole confidently detected with gravitational waves.”

“GW231123 is a record-breaking event,” says School of Physics Professor Laura Cadonati, who has been a member of the LIGO Scientific Collaboration since 2002. “LIGO has been observing the cosmos for 10 years now. This discovery underscores that there is still so much that this instrument can help us learn.”

A cosmic view

The findings challenge current theories on how smaller black holes form, says School of Physics Assistant Professor and LIGO collaborator Surabhi Sachdev. Smaller black holes are the result of supernovae: dying and collapsing stars. During that collapse, explosions can tear apart or eject part of the star’s mass — limiting the size of the black hole that forms.

“Black holes from supernovae can weigh up to about 60 times the mass of our Sun,” she says. “The black holes in this merger were likely the mass of hundreds of suns.”

Because of its size, GW231123 also allowed the team to study the merger in unprecedented detail. “LIGO has observed scores of black hole mergers,” says Cadonati. “Of these, GW231123 has provided us with the clearest view of the ‘grand finale’ of a merger thus far. This adds a new clue to solve the puzzle that are black holes, including their origins and properties.”

“While we saw that our expectations matched the data, the extreme nature of this event pushed our models to their limits,” Millhouse adds. “A massive, highly spinning system like this will be of interest to researchers who study how binary black holes form.”

Decoding a split-second signal

Millhouse and School of Physics Postdoctoral Fellow Prathamesh Joshi used Einstein’s equations for general relativity to confirm LIGO’s detections.

To find black holes, LIGO measures distortions in spacetime — ripples that are created when two black holes collide. These patterns in gravitational waves can be used to find the signature signal of black hole collisions. 

“In this case, the signal lasted for just one-tenth of a second, but it was very clear,” says Joshi. "Previously, we designed a special study to detect these interesting signals, which accounted for all the unusual properties of such massive systems — and it paid off!”

“To ensure it wasn’t noise, the Georgia Tech team first reconstructed the signal in a model-agnostic way,” Millhouse adds. “We then compared those reconstructions to a model that uses Einstein's equations of general relativity, and both reconstructions looked very similar, which helped confirm that this highly unusual phenomenon was a genuine detection.”

Sachdev says that seeing the signal at both LIGO Observatories — placed in Hanford, Washington and Livingston, Louisiana — was also critical. “These short signals are very hard to detect, and this signal is so unlike any of the other binary black holes that we've seen before,” she says. “Without both detectors, we would have missed it.”

A decade of discovery

While the team has yet to determine how the original black holes formed, one theory is that they may have resulted from mergers themselves. “This could have been a chain of mergers,” Sachdev explains. “This tells us that they could have existed in a very dense environment like a nuclear star cluster or an active galactic nucleus.” Their spins provide another clue as spinning is a characteristic usually seen in black holes resulting from a merge.

The team adds that GW231123 could provide clues on how larger black holes are formed — including the mysterious supermassive black holes at the center of galaxies.

“Gravitational wave science is almost a decade old, and we're still making fundamental discoveries,” says Millhouse. “It’s exciting that LIGO is continuing to detect new phenomena,  and this is at the edge of what we've seen thus far. There's still so much we can learn.”

The team expects to update their catalogue of black holes in August 2025, which will provide another window into how this exceptionally heavy black hole might fit into the universe, and what we can continue to learn from it.

Funding: The LIGO Laboratory is supported by the U.S. National Science Foundation and operated jointly by Caltech and MIT.

A computer simulation of a collision of two black holes. Image credit: LIGO Laboratory/Reuters

A computer simulation of a collision of two black holes. Image credit: LIGO Laboratory/Reuters

 
News Contact

Written by Selena Langner

Contact: Jess Hunt-Ralston

AI and Art Collide in This Engineering Course That Puts Human Creativity First

A Georgia Tech course links art and artificial intelligence

A Georgia Tech course links art and artificial intelligence. Yuichiro Chino/Moment via Getty Images

Uncommon Courses is an occasional series from The Conversation U.S. highlighting unconventional approaches to teaching.

Title of Course:

Art and Generative AI

What Prompted the Idea for the Course?

I see many students viewing artificial intelligence as humanlike simply because it can write essays, do complex math or answer questions. AI can mimic human behavior but lacks meaningful engagement with the world. This disconnect inspired the course and was shaped by the ideas of 20th-century German philosopher Martin Heidegger. His work highlights how we are deeply connected and present in the world. We find meaning through action, care and relationships. Human creativity and mastery come from this intuitive connection with the world. Modern AI, by contrast, simulates intelligence by processing symbols and patterns without understanding or care.

In this course, we reject the illusion that machines fully master everything and put student expression first. In doing so, we value uncertainty, mistakes and imperfection as essential to the creative process.

This vision expands beyond the classroom. In the 2025-26 academic year, the course will include a new community-based learning collaboration with Atlanta’s art communities. Local artists will co-teach with me to integrate artistic practice and AI.

The course builds on my 2018 class, Art and Geometry, which I co-taught with local artists. The course explored Picasso’s cubism, which depicted reality as fractured from multiple perspectives; it also looked at Einstein’s relativity, the idea that time and space are not absolute and distinct but part of the same fabric.

What Does the Course Explore?

We begin with exploring the first mathematical model of a neuron, the perceptron. Then, we study the Hopfield network, which mimics how our brain can remember a song from just listening to a few notes by filling in the rest. Next, we look at Hinton’s Boltzmann Machine, a generative model that can also imagine and create new, similar songs. Finally, we study today’s deep neural networks and transformers, AI models that mimic how the brain learns to recognize images, speech or text. Transformers are especially well suited for understanding sentences and conversations, and they power technologies such as ChatGPT.

In addition to AI, we integrate artistic practice into the coursework. This approach broadens students’ perspectives on science and engineering through the lens of an artist. The first offering of the course in spring 2025 was co-taught with Mark Leibert, an artist and professor of the practice at Georgia Tech. His expertise is in art, AI and digital technologies. He taught students fundamentals of various artistic media, including charcoal drawing and oil painting. Students used these principles to create art using AI ethically and creatively. They critically examined the source of training data and ensured that their work respects authorship and originality.

Students also learn to record brain activity using electroencephalography – EEG – headsets. Through AI models, they then learn to transform neural signals into music, images and storytelling. This work inspired performances where dancers improvised in response to AI-generated music.

The Improv AI performance at Georgia Tech on April 15, 2025. Dancers improvised to music generated by AI from brain waves and sonified black hole data.

Why is This Course Relevant Now?

AI entered our lives so rapidly that many people don’t fully grasp how it works, why it works, when it fails or what its mission is.

In creating this course, the aim is to empower students by filling that gap. Whether they are new to AI or not, the goal is to make its inner algorithms clear, approachable and honest. We focus on what these tools actually do and how they can go wrong.

We place students and their creativity first. We reject the illusion of a perfect machine, but we provoke the AI algorithm to confuse and hallucinate, when it generates inaccurate or nonsensical responses. To do so, we deliberately use a small dataset, reduce the model size or limit training. It’s in these flawed states of AI that students step in as conscious co-creators. The students are the missing algorithm that takes back control of the creative process. Their creations do not obey AI but reimagine it by the human hand. The artwork is rescued from automation.

What’s a Critical Lesson From the Course?

Students learn to recognize AI’s limitations and harness its failures to reclaim creative authorship. The artwork isn’t generated by AI, but it’s reimagined by students.

Students learn chatbot queries have an environmental cost because large AI models use a lot of power. They avoid unnecessary iterations when designing prompts or using AI. This helps reducing carbon emissions.

The Improv AI performance on April 15, 2025, featured dancer Bekah Crosby responding to AI-generated music from brain waves.

What Will the Course Prepare Students to Do?

The course prepares students to think like artists. Through abstraction and imagination they gain the confidence to tackle the engineering challenges of the 21st century. These include protecting the environment, building resilient cities and improving health.

Students also realize that while AI has vast engineering and scientific applications, ethical implementation is crucial. Understanding the type and quality of training data that AI uses is essential. Without it, AI systems risk producing biased or flawed predictions.The Conversation

 

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

 
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Authors:

Francesco Fedele, associate professor of Civil and Environmental Engineering, Georgia Institute of Technology

 

Media Contact:

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

Antenna Testbed Will Help Boost Training for Military Aircrews

Researcher installing XPAT system in a test chamber

Radar systems using active electronically scanned array (AESA) technology are playing increasingly critical roles today, protecting warfighters and civilians alike as part of air and missile defense systems. These systems are also critical tools on modern test and training ranges, allowing aircrews to train against accurate simulations of the real-world threats they may face. 
 

To accelerate modernization of these systems, researchers at the Georgia Tech Research Institute (GTRI) have developed a novel system known as XPAT (X-band polarization-diverse AESA testbed). The system was developed for operation in airborne and ground-based applications that must be reconfigurable to meet a variety of mission requirements.
 

Now being tested in GTRI antenna ranges, XPAT includes advances such as state-of-the-art transmit-receive modules and patent-pending cold plates that are optimized to reduce thermal variances between electronic components. XPAT is designed to serve as a building block for future phased array radars in a variety of sizes and shapes, while allowing ease of assembly and maintenance using specialized interfaces for power, control, cooling, and radio frequency connections.

Read more in the GTRI newsroom


 

 
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Contact: gtri.media@gtri.gatech.edu

Rozell Named Inaugural Executive Director of New Neuroscience Institute

Christopher Rozell, a first-generation scholar and interdisciplinary researcher, serves as the inaugural executive director of Georgia Tech’s Institute for Neuroscience, Neurotechnology, and Society (INNS).

Christopher Rozell, a first-generation scholar and interdisciplinary researcher, serves as the inaugural executive director of Georgia Tech’s Institute for Neuroscience, Neurotechnology, and Society (INNS).

Christopher Rozell, Julian T. Hightower Chaired Professor in the School of Electrical and Computer Engineering, will serve as the inaugural executive director of Georgia Tech’s new Institute for Neuroscience, Neurotechnology, and Society (INNS). 

INNS is one of two new Interdisciplinary Research Institutes (IRIs) launched at Georgia Tech on July 1. Dedicated to advancing neuroscience and neurotechnology, the institute aims to drive societal progress through discovery, innovation, and public engagement. By bridging disciplines across the sciences, engineering, computing, ethics, policy, and the humanities, INNS will serve as a collaborative hub for exploring the brain in all its complexity — from molecular mechanisms to behavior and cognition, and from foundational research to clinical and technological applications.  

“Our neuro-related research community has built such a strong transdisciplinary vision for an IRI that I remain fully committed to its growth, even as we face a period of extreme uncertainty about federal research funding,” said Vice President for Interdisciplinary Research Julia Kubanek. “In fact, under Chris’s leadership I expect INNS to make our faculty more competitive and successful, bringing Georgia Tech closer to patient communities living with neurological conditions so that our research increasingly impacts people’s lives. INNS will also connect artists, social scientists, neuroscientists and engineers with entrepreneurial opportunities and non-traditional funding pipelines.” 

The launch of INNS builds on more than a decade of groundwork laid by Georgia Tech’s neuroscience community. Rozell has played a key role in shaping the vision for INNS as a member of the Neuro Next Initiative’s executive committee, and before that, as a steering committee member as the initiative was developed. The executive committee included Simon Sponberg, Dunn Family Associate Professor in the School of Physics and the School of Biological Sciences; Jennifer Singh, associate professor in the School of History and Sociology; and Sarah Peterson, Neuro Next Initiative program manager. 

“I'm excited to serve the INNS community in this next phase to build on the momentum generated across campus over many years,” said Rozell. “The brain is one of the great remaining frontiers, where discovery and innovation can unlock the future of human health and flourishing. INNS is uniquely positioned to lead in the modern interdisciplinary research necessary to address this grand challenge.” 

Rozell brings a unique blend of technical expertise, interdisciplinary leadership, and public engagement to his role as the inaugural executive director of INNS. His work spans neuroscience, data and computer science, neuroengineering, and cognitive science, with a particular focus on developing scalable brain stimulation therapies for treatment-resistant depression. Rozell also serves on advisory boards for organizations at the forefront of neuroethics and scientific rigor, reflecting his commitment to responsible innovation. 

Interdisciplinary from the outset, Rozell’s training in neuroscience has been shaped by a unique educational path that bridges engineering, the arts, machine learning, neuroscience and translational research. He holds a Bachelor of Fine Arts in Music alongside his engineering degrees and has developed multiple initiatives that incorporate the arts into neuroscience research and public engagement

Rozell’s research has been widely recognized, with over 130 peer-reviewed publications, multiple patents, and invitations to speak at high-profile venues, including a U.S. Congressional briefing celebrating the NIH BRAIN Initiative. A first-generation scholar, Rozell co-founded Neuromatch, a nonprofit dedicated to building an inclusive global neuroscience community. His contributions have earned him numerous honors, including the James S. McDonnell Foundation 21st Century Science Initiative Scholar Award, elected Fellow of American Institute for Medical and Biological Engineering, and Georgia Tech’s top teaching accolades, underscoring his impact both in and beyond the lab.

 
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Audra Davidson
Research Communications Program Manager
Institute for Neuroscience, Neurotechnology, and Society