A new artificial intelligence tool developed by researchers at the FAMU-FSU College of Engineering and Florida State University’s Center for Advanced Power Systems could help make electric grids more reliable and reduce operating costs. The system improves forecasts of electricity demand and renewable energy generation, giving grid operators better information to balance supply and demand.

As more renewable energy comes online, today’s electric grid has become increasingly difficult to manage. Uncertainty in forecasts can force operators to keep too much reserve power, increasing costs, or too little, raising the risk of blackouts. The FSU-developed model addresses that challenge by treating the power grid as a connected network to generate more accurate forecasts. The research was published in IEEE Transactions on Network Science and Engineering.

The forecasting system, called GridFusionX, combines information such as past electricity demand, power generated from renewable sources, energy market prices and other data points to generate predictions and confidence intervals, helping operators run the grid more efficiently and with less wasted reserve power.

“Our research looks at smart systems as a dynamic puzzle: every factor, from different energy sources, to shifting demands in cities and changing prices and how they fit together,” said study co-author Tuy Nguyen, an assistant professor in the Department of Electrical and Computer Engineering. “What happens in one area can affect neighboring areas because they share power lines, weather patterns and energy markets. By continuously analyzing these pieces, we can predict energy needs more accurately and adapt to ensure both reliability and cost savings.”

How does GridFusionX work?

The main innovation in the AI tool developed in this research is multi-modality: the ability to use many sources of information in estimates.

“Whether we’re predicting power usage, traffic patterns or even weather, reducing uncertainty in our predictions lets us make smarter, more adaptive decisions that benefit daily life,” said Associate Professor Olugbenga Moses Anubi and a co-author of the study.

The system uses a graph neural network — a mathematical representation of connected objects — to map how what happens within one region in the power grid can affect neighboring regions. The tool addresses a critical gap in existing methods by providing both spatially connected predictions and measures of uncertainty.

The model’s precision allows grid operators to plan reserves more efficiently and respond proactively to sudden changes, such as spikes in demand or drops in renewable generation. In real-world tests across ten European regions, GridFusionX improved forecasting accuracy by up to 56% and cut reserve costs by as much as 66%, all while maintaining reliable service.

Why it matters

Today’s power grids have become increasingly complex. Regional power nodes are linked not just by electrical lines, but also by market economics, weather patterns and other issues that affect power usage.

“Right now, utility companies estimate your usage to make sure you never underpay, which almost always means you overpay,” Anubi said. “With our approach, predictions become more precise, so your bill matches what you truly use.”

Knowing how much energy is needed and when it is needed is a problem of predictability.

“The main vision is engineering intelligence,” said Associate Professor Ravikumar Gelli. “We want to help utility operator balance generation and load and help consumers pay less. That’s the vision behind it.”

A new generation of energy scholars

FAMU-FSU faculty are incorporating concepts used in this research into classes about cyber security systems for electric grids and artificial intelligence for power systems. Doctoral student researcher Quoc Bao Phan led the study.

“It benefits students to work on a project like this because they have the chance to work with four faculty instead of just one,” Anubi said. “This mentorship serves as a model for other students and other kinds of collaborations. There are good learning and research outcomes for students and that is also an important part of this project.”

Assistant Professor Abdulrahman Takiddin was also a co-author of this study. This work was supported by the FAMU-FSU College of Engineering.

Visit the FAMU-FSU College of Engineering website for more information about the research at the college. Visit the Center for Advanced Power Systems website to learn more about advanced power system engineering research at the center.

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FSU Health leader to serve as president of Florida Medical Association

Alma Littles, M.D., dean of the FSU College of Medicine, will be installed Aug. 1 as the 150^th president of the Florida Medical Association at the FMA’s annual conference in Orlando. Littles is the first medical school dean to serve as president in the association’s history.

Founded in 1874, the FMA represents more than 20,000 physicians on legislative, economic, educational and ethical issues. As president, Littles will chair the FMA Board of Governors, which initiates policy for the organization, and   serve as its chief ambassador.

“While assuming this role is one of the greatest honors of my professional career, I am humbled by the opportunity and mindful of the responsibility,” Littles said. “I see this role as an opportunity to serve — not only physicians — but also the patients and communities who depend on us.”

Littles’ election further elevates the statewide leadership role of FSU Health, Florida State University’s integrated academic health system. Through its growing network of clinical, educational and research partnerships, FSU Health is helping address Florida’s most pressing health care challenges, including physician workforce development, access to care and medical innovation.

A board-certified family medicine physician, Littles said her priorities as FMA’s president  include helping physicians practice medicine effectively while advancing policies that support safe, high-quality, compassionate patient care. As the first sitting dean to serve as FMA president, Littles also plans to advocate for the strengthening of Florida’s physician workforce by supporting medical education, residency training, physician retention, physician well-being and leadership development.

“This advocacy will include supporting physicians, residents and students as we all navigate the very necessary implementation of AI and other emerging technologies, while maintaining the human connection at the heart of the patient-physician relationship,” Littles said.

During their one-year term, FMA presidents appoint two members to the FMA Board of Governors. Littles has chosen Jeremy Slaga, FSU’s vice president and chief clinical operations officer overseeing FSU Health, and Andrea Friall, M.D., who practices obstetrics and gynecology and is the chief medical officer of Tallahassee Memorial HealthCare in Tallahassee.

“Anyone who has worked with Dr. Littles knows that the superlatives are well-deserved,” said FMA Chief Executive Officer Chris Clark. “She’s a remarkable person and a consistently remarkable physician leader. The FMA has always valued having close relationships with Florida’s medical schools. So, the fact that Dr. Littles is the first medical school dean to serve as FMA President in our organization’s 151-year history is especially meaningful.”

Before becoming president, Littles served as FMA president-elect, vice president and secretary. She has been a member of FMA since she was a medical student.

Littles is a leader in organized medicine at both the state and national levels. She continues to advocate for access to quality healthcare, inspiring doctors and other clinicians to practice in areas where people are most in need, particularly in rural areas and in the areas of primary care and preventive medicine.

Littles is a former president of the Florida Academy of Family Physicians (FAFP) and was Florida Family Physician of the Year in 1993. She is also a member of the American Academy of Family Physicians, where she was named a Fellow in 1998; the American Medical Association; and the Florida Alliance for Health Professions Diversity. In 2016-17 Littles served as chair of the Tallahassee Memorial HealthCare Board of Directors.

Littles was named one of the 25 Women You Need to Know in Tallahassee in 2010 and in 2014 was identified by Black Health Magazine as one of the country’s Top 15 Most Influential African American Medical Educators. She also received the 2014 Outstanding Physician of the Year Award from Capital Medical Society (CMS). In 2019, she was honored with the American Medical Women’s Association’s Elizabeth Blackwell Award. She also received the Director’s Award for Outstanding Faculty from AMWA.

A longtime patient advocate, Littles has always recognized the importance of being a part of and giving back to the community. She has an interest in promoting student and physician wellness and addressing ways to prevent burnout. She serves on the Wellness Committees of the CMS and FAFP and chaired the FMA’s Wellness Committee in 2019-20. She also served as vice chair of Florida’s Physicians Workforce Advisory Council (chaired by Florida’s surgeon general) for eight years and is a contributing author of the textbook Contemporary Challenges in Medical Education, published in 2019.

She served previously as chair of the American Medical Association’s Academic Physicians Section and as delegate to the AMA from the Academic Physicians Section. She is also the vice chair of the Council of Florida Medical School Deans.

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FSU Health is Florida State University’s integrated academic health system, bringing together hospitals, physicians, clinics, research, education, and innovation under a unified vision to improve the health of the communities we serve.

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Florida State University will lead four major projects as part of the U.S. Department of Energy’s highly coveted Genesis Mission, showcasing the university’s strengths in advanced technological innovation.

These landmark projects, led by FSU’s world-class faculty, utilize artificial intelligence and machine learning to tackle some of the nation’s most complex challenges, spanning high-temperature superconductors for fusion energy, quantum error correction, particle physics, and nuclear reaction modeling.

“These awards further affirm Florida State University’s emergence as a national leader at the frontiers of discovery, innovation and national service,” said FSU President Richard McCullough. “To secure four projects through the Department of Energy’s Genesis Mission is a defining achievement for our institution and a powerful recognition of the caliber of our faculty. FSU is helping shape the scientific agenda for the nation’s future by advancing the artificial intelligence, quantum and energy frameworks that will strengthen our national infrastructure, accelerate American innovation and reinforce U.S. technological leadership.”

The Genesis Mission represents a major federal investment to unite DOE national labs, industry and academia to accelerate breakthroughs in energy dominance, physical sciences and national security. It has drawn comparisons to the Manhattan Project or Apollo mission. The Department of Energy awarded 278 awards across 26 identified science and technology challenges to accelerate U.S. innovation and scientific leadership during a summit in Washington, D.C., on Wednesday, July 22.

FSU secured four awards and the FSU-headquartered National High Magnetic Field Laboratory is partnering on a fifth award led by Lawrence Berkeley National Laboratory. Three of the FSU awards stem from the Department of Physics, and the other is from the FAMU-FSU College of Engineering.

The awards are for an initial phase one that is nine months. However, researchers who received the awards are invited to show initial results of their work and apply for a second phase of funding that will likely be announced next year.

FSU Vice President for Research Stacey S. Patterson emphasized the strategic alignment of these projects with FSU’s mission to deliver solutions to critical global challenges.

“FSU has strategically positioned itself at the intersection of artificial intelligence and physical sciences to address some of the most critical vulnerabilities our country faces,” Patterson said. “From rebuilding a secure domestic supply chain for high-performance fusion magnets to paving the way for unbreakable, fault-tolerant quantum computers, these projects are highly practical solutions to real-world national security challenges. We are incredibly proud of our faculty for securing these historic awards, which will inspire next-generation breakthroughs and solidify FSU’s role as a trusted partner in federal scientific leadership.”

FSU researchers are leading the following Genesis projects:

AI-Powered Manufacturing of High Temperature Superconductors for Fusion Energy

Challenge Area: Reenvisioning Advanced Manufacturing and Industrial Productivity

Led by Associate Professor Fumitake Kametani, this project uses AI to transform how high temperature superconducting tapes are made for fusion energy magnets. Manufacturing these highly engineered tapes involves subtle, hard-to-detect variations that limit performance uniformity and thus drive up costs of magnets, so the team is building an AI “digital twin”, which is a predictive computer model of the production line. This model learns how manufacturing conditions shape tape quality, helping rebuild a US-owned supply chain of this critically important technology for US energy security. FSU leads the project with the US manufacturer High Temperature Superconductors, Inc., and Lawrence Berkeley National Laboratory. Sanghyun Lee, associate professor of Mathematics, and National High Magnetic Field Laboratory researchers Aixia Xu, Yan Xin, Jeseok Bang, and Chris Segal, will also play key roles in executing the project, as well as MagLab Chief Materials Scientist David Larbalestier.

Teaching AI to Fix Quantum Errors

Challenge Area: Realizing Quantum Systems for Discovery

Led by Professor of Physics Nicholas Bonesteel, this project develops AI that acts as a real-time diagnostic system for quantum computers. Quantum computers are extraordinarily sensitive to noise, and keeping a quantum computation on track requires rapidly interpreting streams of indirect error signals. For today’s leading quantum codes, efficient classical algorithms handle this task — but they break down for the richer, more powerful codes expected to follow. The team is training neural networks to decode these signals for this next generation of quantum codes — essential groundwork for quantum computers that work at full scale. Co-Principal Investigators on this award include Assistant Professor of Physics Yanzhu Chen, Professor of Computer Science Xiuwen Liu, and FAMU-FSU College of Engineering Professor William Oates.

Accelerating Cosmic Discovery in Particle Physics

Challenge Area: Unifying Physics from Quarks to Cosmos

Led by Wyatt-Green Chair of Physics Mayly Sanchez and Robert O. Lawton Professor of Physics Harrison B. Prosper, this project uses AI to help scientists figure out one of the biggest mysteries in the universe: why everything around us is made of matter instead of antimatter. A massive U.S. experiment called DUNE will shoot invisible particles called neutrinos 800 miles through the Earth to find out, but physicists can only interpret what they see by comparing it against computer simulations that aren’t yet accurate enough. Today, improving those simulations is slow, hand-guided work that can take years. The FSU team is training an AI on millions of recorded neutrino collisions to find every place the simulation disagrees with reality at once, then compress what it learned into compact equations physicists can read. The team will transfer what the AI learns from one experiment directly to DUNE, opening the way to a system that unites the world’s neutrino data into a single shared model of how neutrinos interact with matter.

AI and Quantum Computing for the Next Generation of Nuclear Science

Challenge Area: Delivery of Fusion Energy

A multi-institutional team led by FSU will combine artificial intelligence with next-generation quantum-computing methods to improve understanding of atomic nuclei and other quantum systems. By combining AI-driven data analysis with advanced quantum-information methods, the researchers will address longstanding challenges in interpreting the vast amounts of experimental nuclear data collected over decades. Their work aims to produce predictive models that reveal how quantum systems interact, evolve, decay, and respond to external influences. Beyond advancing fundamental science, these developments could contribute to progress in quantum technologies, clean energy, and national security. The project brings together principal investigator Alexander Volya, Hitesh Changlani, and Yanzhu Chen of FSU; co-principal investigator Grigory Rogachev of Texas A&M University; Richard J. deBoer of the University of Notre Dame; collaborators at Quantinuum; and participating students and researchers across the institutions.

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The Florida State University College of Nursing and College of Medicine have been awarded a more than $1.6 million Institutional National Research Service Award (T32) from the National Institutes of Health to prepare the next generation of nurse scientists to harness technology and artificial intelligence in improving health outcomes for a variety of populations.

The five-year training program, NURTURe: Nurse Scientists Using Research, Technology and AI to Uplift Resilient eHealth Outcomes, prepares nurse-trained postdoctoral fellows for careers as researchers in digital health. Fellows within the program will develop, test and apply digital health and AI tools for preventing disease and managing chronic conditions, with a focus on rural communities where access to care can be limited.

The program will be based within the college’s Institute on Digital Health and Innovation (IDHI) and supported by the FSU College of Medicine’s Center for Translational Behavioral Science (CTBScience).

“This award reflects a belief we have championed at the FSU College of Nursing, that nurses must help lead the future of artificial intelligence in healthcare,” said Jing Wang, dean of the FSU College of Nursing. “NURTURe joins a growing list of investments we have made to prepare nurses for an AI-enabled world. By training nurses to develop and test these technologies, we ensure that innovation is guided by the professionals who understand patients best.”

Preparing the next generation of health and healthcare professionals is central to FSU Health, the university’s integrated academic health system. The College of Medicine and College of Nursing are foundational to that mission, working alongside IDHI and CTBScience to advance education, research and innovation across FSU Health.

“The promise of this work is ultimately measured in the care this will bring into people’s lives,” said Lisa Hightow-Weidman, distinguished and endowed McKenzie professor, associate dean for research, founding director of the Institute on Digital Health and Innovation, and co-principal investigator. “Digital health and AI can extend high-quality care to communities that need additional resources, but only if these tools are built and tested with real patients in mind. There is no better place to do that than IDHI, where we bring together the technology, the science and the deep clinical understanding needed to turn innovation into healthier communities.”

The program is led by three multiple principal investigators — Hightow-Weidman, Wang and CTBScience founding director Sylvie Naar — whose combined expertise spans nursing science, digital health technology, health promotion, community engagement, translational behavioral science and implementation science.

“The FSU College of Medicine and the Center for Translational Behavioral Science are thrilled to help train the next generation of nurse researchers in AI and digital health, grounded in community-engaged dissemination and implementation science,” said Naar, also a distinguished endowed professor in the College of Medicine. “By placing fellows across IDHI and CTBScience, NURTURe reinforces the close collaboration between our two colleges.”

NURTURe draws its mentorship team from across the FSU College of Nursing and the FSU College of Medicine.

Primary Mentors

• Lisa Hightow-Weidman, FSU College of Nursing
• Jing Wang, FSU College of Nursing
• Sylvie Naar, FSU College of Medicine
• Henna Budhwani, FSU College of Nursing
• Eugenia Millender, FSU College of Nursing
• Kathryn Muessig, FSU College of Nursing
• Bonnie Spring, FSU College of Medicine

Secondary Mentors

• Jie Chen, FSU College of Nursing
• Lucinda Graven, FSU College of Nursing
• Adam Hanley, FSU College of Nursing
• Zhe He, FSU College of Communication and Information
• Karen MacDonell, FSU College of Medicine
• Geraldine Martorella, FSU College of Nursing
• Norman B. Schmidt, Department of Psychology, FSU College of Arts and Sciences
• Laura Widman, FSU College of Nursing

The T32 award is the latest milestone in the FSU College of Nursing’s broader push to lead in digital health and AI, part of its Boldly Rising strategic plan. In recent years, the college launched the nation’s first Master of Science in Nursing with a concentration in AI Applications in Healthcare, established the Nursing and Artificial Intelligence Innovation Consortium, and partnered with the Coalition for Health AI to create the nation’s first micro-credential series on responsible AI for nursing.

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FSU Health is Florida State University’s integrated academic health system, bringing together hospitals, physicians, clinics, research, education, and innovation under a unified vision to improve the health of the communities we serve. For more information, visit fsuhealth.fsu.edu.

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Florida State University Vice President for Research Stacey S. Patterson this summer was officially inducted into the National Academy of Inventors, the highest professional distinction awarded to academic inventors.

“Being named a Fellow of the National Academy of Inventors is an incredible honor,” Patterson said when she learned the news this past spring. “I firmly believe that our responsibility as academic innovators extends beyond discovery — we must actively translate the knowledge and breakthroughs developed within our universities into real-world solutions to help improve lives. This part of our mission inspires me daily, driving my passion to ensure that our researchers and ideas create meaningful, lasting benefits for society.”

Patterson, who has served as FSU’s vice president for Research since 2022, has a long record of translating academic research into commercial applications. She holds several U.S. patents that focus on novel detection platforms and engineered cell lines used to accelerate drug discovery and toxicity testing. Her work also led to 490 BioTech, a Knoxville-based startup company, where she was one of four co-founders. 490 BioTech was highlighted as one of the top ten innovations in 2013 by The Scientist Magazine.

Since arriving at FSU, Patterson has led the launch of several initiatives aimed at accelerating research translation, entrepreneurship and innovation. Here are three ways Patterson and the Division of Research are championing a culture of innovation at FSU.

• Expanding research translation through IGNITE-FSU Program: Patterson secured $6M from the National Science Foundation’s Accelerating Research Translation (ART) program to kickstart FSU’s efforts. Known as IGNITE-FSU, this program provides faculty with targeted funding, institutional infrastructure and coordinated support across research, commercialization and entrepreneurial support teams to take discoveries from university labs and fast-track them into tangible societal and economic solutions.
• Opening the IGNITE Tallahassee incubator facility: The IGNITE Tallahassee facility provides space and resources for technology-based start-ups. Its regional focus enables the support of university spinouts as well as the recruitment to the Tallahassee region of deep technology companies seeking to partner with the unique assets and faculty at FSU, Florida Agricultural and Mechanical University, and Tallahassee State College. Located in Innovation Park, the 40,000-square-foot, state-of-the-art hard science incubator bridges the gap between campus labs and commercial markets. It is purpose-built for deep-tech and life-science startups, featuring wet and dry labs, tissue and bio-culture facilities and prototyping space. Backed by the IGNITE Entrepreneurial Support team, founders work closely with experts to grow their venture.
• Moving technologies forward: Through FSU Health, FSU awarded $250,000 to five teams comprising research and local health providers pursuing healthcare innovations. Patterson launched the Clinical Catalyst program last year to bring together teams to address health challenges affecting patients in the community. Through IGNITE-FSU, eight researchers spearheaded seed translational research projects to move targeted projects toward practical application. These include a web-based tool for photo-based chemical analysis, a digital ADHD treatment for children, a test for colorectal cancer and others.

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Children learning their “ABCs” or high school students studying the periodic table can turn to songs to help remember foundational educational concepts. A Florida State University professor is applying the method to chemistry class, using artificial intelligence to create new musical learning aids that help students succeed.

Oliver Steinbock, Cottrell Family Professor in the Department of Chemistry and Biochemistry, has previously used AI in his laboratory research to identify chemical compositions of dried salts from images. He is now exploring educational endeavors with the technology through AI-generated songs that explain core chemistry concepts, like thermodynamics and compression, and break down dense equations such as the van der Waals equation.

“I created these chemistry songs as a resource to teach concepts in a different way and create some new interest in the subject matter,” Steinbock said. “These songs can be used by students as at-home study tools, or lecturers could ask students to make their own songs about a topic as an in-class activity and have the students fact-check their songs. It’s just one tool in the toolbox of teaching.”

Steinbock’s 16-song playlist focuses on thermodynamics — the branch of physical chemistry covering interactions among heat, work, temperature and energy — and is available on Suno, a generative AI platform that creates songs based on user prompts. Through different musical genres, Steinbock’s songs teach the laws of thermodynamics, the essential rules of nature that define how energy operates in the universe, which are key foundations for physics and chemistry research.

“Physical chemistry is known as one of the hardest chemistry subjects to learn,” said Wei Yang, chair of the Department of Chemistry and Biochemistry and a professor of biochemistry. “Many students have a love-hate relationship with thermodynamics due to many key equations and concepts that they must comprehend and memorize.”

In addition to serving as mnemonic devices that aid memorization through rhythm and repetition, learning songs helps students of all levels feel more comfortable in the classroom and reduce anxiety, according to research from the University of Washington published by the American Society for Cell Biology.

“These songs can have huge benefits for students with different learning styles, especially those who want to reinforce key concepts in their free time,” said Andrew Fredericks, a student in the Department of Chemistry and Biochemistry and an undergraduate researcher in Steinbock’s laboratory. “Many people are curious — and maybe a little nervous — about how AI will continue to impact education and society, but it’s exciting to see technology being used in creative ways to help students learn.”

The country-inspired song “Temperature” helps students understand how temperature is affected by the first law of thermodynamics, which states that energy cannot be created or destroyed, while the K-pop inspired song “Z One” teaches the ideal gas law by describing the relationship among pressure, volume, temperature and amount of a substance in a gas.

To develop these songs, Steinbock input sections of his own research papers into large-language models like ChatGPT and Claude and turned the text into lyrics. He then checked the lyrics for factual errors and adjusted prompts as needed before putting the final lyrics and choice of musical genre into Suno. The result was a series of short, catchy songs highlighting core concepts that students sometimes struggle to learn through traditional lectures and reading.

“This project is a really cool example of how AI can be used in education,” Fredericks said. “By combining the chemistry content with music, the songs make the material feel more approachable and enjoyable.”

Steinbock hopes his students use these songs as an additional learning aid to support their studies while highlighting the importance of ethical and responsible AI use.

“In a project like this, I had to check the facts while also considering how much freedom the AI can take to stretch the concepts or mix in cheesy words,” Steinbock said. “AI has the potential to be a useful learning tool, but it still makes mistakes. We must learn to use it safely and constructively.”

Visit the Department of Chemistry and Biochemistry website to learn more about Steinbock’s work and research in the department.

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A Florida State University paleoclimatologist led the creation of a global database hosting thousands of seawater isotope measurements collected over almost 50 years that will aid scientists in generating more accurate climate reconstructions and predictions.

Associate Professor of Oceanography and Meteorology Alyssa Atwood led the Past Global Changes, or PAGES, project that created the new PAGES CoralHydro2k Seawater δ¹⁸O Database, a publicly accessible archive hosted by the National Oceanic and Atmospheric Administration National Centers for Environmental Information.

The database, presented in a recent publication by Earth System Science Data, reports the ratio of the heavy to light stable isotopes of oxygen, expressed as delta-oxygen-18 (d¹⁸O), and hydrogen, expressed as delta-hydrogen-2 (d²H), in seawater. It includes nearly 19,000 seawater isotope measurements.

Isotopes are variations of elements that differ based on the number of neutrons in the nucleus. Water molecules that contain heavier isotopes behave slightly differently than water molecules that contain lighter isotopes. Because of these tiny mass differences, the isotopes become unevenly distributed among the ocean, atmosphere and land, helping scientists to track the global water cycle.

“Water isotope ratios record how water moves among the ocean, atmosphere and land,” Atwood said. “In the ocean, water isotope measurements can track precipitation, evaporation, freshwater runoff from rivers and ice sheets, and ocean circulation patterns, which serve as powerful tracers of Earth’s modern water cycle. Because the hydrological cycle intensifies as global warming accelerates, seawater isotopes also provide important insights into how the global water cycle is changing as the planet warms. This database provides a robust observational framework to track these changes with unprecedented coverage.”

In addition to seawater isotope data, the database includes measurements of ocean hydrology, salinity, temperature and hydrogen isotope ratios where available. It also incorporates extensive metadata that describes sampling locations, depths, data collection and analysis methods and data quality, which are essential for proper quality control, inter-comparison and interpretability across datasets.

“As the team compiled these datasets, we also documented their strengths and weaknesses to provide a set of best reporting and data standardization practices to the community for the future,” Atwood said. “We’ve only scratched the surface in identifying how this data can help us understand how the ocean and global hydrological cycle are currently changing, how they’ve changed in the past, and what we can expect for the future. This database gets us one step closer to realizing that potential.”

Reconstructing historical climate data

The database also supports the development of past climate reconstructions. Seawater isotope data helps refine paleoclimate records based on the oxygen isotope composition of marine organisms such as corals, single-celled amoeba called foraminifera, and mollusks, a type of invertebrate. This allows scientists to make better estimates of past climate conditions and how they have changed over time.

“In this way, the database can help scientists to extend climate records back into the preindustrial era, contextualize modern climate change and improve future climate projections,” Atwood said.

Updating and centralizing seawater isotope data

This initiative began after an earlier CoralHydro2k project discovered that previous compilations of seawater isotope data were out of date. While significant advances in analytical techniques over the past few decades have led to a rapid increase in the quantity and quality of seawater delta-oxygen-18 measurements, much of this data wasn’t publicly available or easily accessible.

“Despite the wide-ranging applications of this data across oceanography, atmospheric science and paleoclimatology, there was no single, actively maintained place where scientists could find and use seawater isotope data,” Atwood said. “We sought to fill this gap by creating a comprehensive, up-to-date, global database of seawater isotope data.”

In the new database, more than half the data compiled comes from “hidden” datasets found in student theses, supplemental tables of journal articles, cruise reports and private research archives.

“The centralization of global seawater isotope data provides an unprecedented resource for improving large-scale synthesis efforts in oceanographic and paleoclimate research by making them more accurate and reliable,” said Michael Stukel, chair of FSU’s Department of Earth, Ocean, and Atmospheric Science.

The database also has a submission portal through the EarthChem Library, allowing researchers to submit new datasets and continue to grow the database, facilitating future research discoveries.

The project team consisted of volunteer scientists from all academic levels, including graduate and undergraduate students, postdoctoral researchers, and early career to senior-level scientists from academic and research institutions in the U.S., Germany, France and Portugal. The study was supported by the PAGES project, the U.S. National Science Foundation, the U.S. Department of the Interior, the Louisiana Board of Regents and the German Research Foundation.

Visit the FSU Department of Earth, Ocean, and Atmospheric Science website for more information about research conducted in the department.

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An interdisciplinary team from Florida State University’s Department of Earth, Ocean, and Atmospheric Science has uncovered new evidence about processes that may have contributed to ancient mass-extinction events, some of the most dramatic ecosystem reorganizations in Earth’s history.

Assistant professor of meteorology Michael Diamond, assistant professor of geology Emily Stewart, and geology doctoral student Lindsi Allman combined deep-earth geochemistry and atmospheric science to show that natural sulfur and carbon released from metamorphic rocks affects the environment in similar ways to emissions from volcanic eruptions, long considered the primary drivers of mass-extinction events.

The study, “Metamorphic sulfur release as a driver of sustained cooling and mass extinction,” was published today in Science Advances.

“Evidence shows that the process that wipes out species is a climate swing, or an oscillation back and forth between hot and cold climates,” said Stewart, who researches the effects of metamorphic fluids on Earth’s cycles and long-term habitability. “Some extinctions are correlated with the timing of eruptions in large igneous provinces, which are massive magmatic areas that have seen lots of volcanic eruptions and lava spewing out of Earth’s surface. As long as geology as a field has existed, scientists have believed that volcanic eruptions and their emissions were the primary trigger for rapid global cooling and climate swings. We found another process that contributes to these events: metamorphism.”

How it works

Metamorphic processes occur when rock under Earth’s surface is exposed to extreme heat, like when rock in large igneous provinces, such as the Ferrar large igneous province in Antarctica or the Siberian Traps in Russia, is heated by magma. If that rock contains sulfur and carbon, the heating process results in sulfur and carbon emissions, which allow them to seep out at the ground level as gases.

Sulfur emissions become sulfate particles in the atmosphere that act like tiny mirrors, reflecting some of the sun’s energy back into space. The Earth then absorbs less energy from the sun, leading to cooling spikes. Sulfates also act as “cloud seeds,” attracting water vapor to form clouds with liquid droplets that disperse water more efficiently and reflect more sunlight, also contributing to cooling spikes.

“Cooling spikes are the result of sulfur, which doesn’t stay in the atmosphere for more than a few days before dissipating,” said Diamond, who investigates how Earth’s climate is affected by cloud interactions with aerosols. “The opposite warming effect is due to carbon, which is also released in the metamorphic process but doesn’t react with other particles. Carbon remains in the atmosphere for hundreds, thousands or even millions of years. Even after sulfate-driven cooling spikes, the atmosphere is several degrees warmer than before due to carbon gas continually warming while sulfur aerosols cool and eventually disappear from the system.”

Ancient extinctions that may have been influenced by these emissions include the end of the Ordovician Period around 440 million years ago, when up to 85 percent of shallow marine species died, including many trilobites and corals. Another occurred at the end of the Devonian Period around 370 million years ago, when many marine species, especially reef-building corals and bony-armored fish like the Dunkleosteus, died out.

The end of the Permian Period, or the “Great Dying,” occurred around 252 million years ago and wiped out up to 96 percent of marine species and 70 percent of land species. Around 201 million years ago, the end of the Triassic Period eliminated many groups of giant reptiles that dominated land, sea and sky, making way for the rise of dinosaurs.

Why it matters

Although these events occurred millions of years ago, they provide natural experiments for investigating interactions and cycles among the solid Earth, atmosphere, oceans and biosphere. Understanding their causes helps scientists better understand the sensitivity of Earth systems to large-scale environmental change.

“Earth’s systems are deeply interconnected, and major environmental changes rarely result from a single isolated process,” said EOAS department chair Mike Stukel. “Scientific progress often comes from integrating geological observations, geochemical evidence, climate perspectives, and biological implications into a unified framework. This research demonstrates the value of bringing together expertise from multiple fields to better understand Earth’s past and its future, and it highlights why our department is such a special place.”

This work was funded by the American Chemical Society Petroleum Research Fund and several programs within the National Oceanic and Atmospheric Administration’s Climate Program Office.

“The more we study mass-extinction events, the more we see that they’re much more complex than we realized,” Stewart said. “In geology, we thought the question of what could drive ancient mass-extinction events was solved. The only way we broke this misunderstanding was by bringing in perspectives from another field, which pointed us to evidence that hadn’t been considered before.”

Visit the Department of Earth, Ocean, and Atmospheric Science website to learn more about research conducted in the department.

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A Florida State University geneticist has earned one of the most prestigious awards available to early career faculty for her work investigating how genetically identical individuals raised in the same environment, like identical twins, can still be different from each other.

Assistant Professor of Biological Science Amy Webster received a 2026 Faculty Early Career Development Award, or CAREER Award, from the National Science Foundation to study how genes are regulated to affect their traits. The award provides $1.1 million in funding. Webster is one of four FSU faculty members to receive CAREER awards so far this year, all from the College of Arts and Sciences.

“The Webster Lab is still relatively young, so this support provides momentum to build a strong foundation for the future,” Webster said. “We know our genomes are important for many of our characteristics, so we expect genetically identical individuals to be broadly similar. But we also know DNA sequence doesn’t predict everything about us. Many traits and diseases are influenced by the environment, and some differences arise in a seemingly random way. My lab studies how ‘noise’ in gene regulation can have important consequences for organisms.”

The CAREER Awards Program offers NSF’s most significant awards in support of early career faculty with the potential to serve as role models in research and education and lead groundbreaking advances in their fields. The award provides faculty with five years of funding to support students and conduct research while affording them the opportunity to work closely with NSF staff on developing their professional endeavors.

“NSF CAREER awards are prestigious and bring attention to the high caliber of our faculty,” said Karen McGinnis, associate dean of the College of Arts and Sciences and professor of biological science. “Dr. Webster’s combination of expertise in mathematics, genetics, and genomics allows her to tackle interesting and significant questions about genetic inheritance, evolution and variation among individuals.”

While a person’s DNA remains largely unchanged throughout life, how their genes are expressed can change due to environmental factors such as sun exposure, diet and stress. For instance, smoking cigarettes represses a specific gene that prevents cancer; when smokers quit, this gene can resume its cancer-fighting functions over time. Webster’s research focuses on how and why certain genes are flipped “on” or “off,” an area of the field known as gene regulation.

“By understanding DNA’s interactions with other factors to influence gene regulation, we can gain insight into how biological differences arise during an individual’s life,” Webster said. “Long term, this work helps us better understand why individuals differ in traits and disease risk, even when genetics alone doesn’t fully explain those differences.”

To study the interactions between an organism’s genome and environment, the Webster Lab raises and observes Caenorhabditis elegans, a microscopic roundworm that shares 60 to 80 percent of its genes with humans and can express half of all known human disease genes.

“Although they’re clones raised under identical conditions, we’ve found that some genes are regulated differently across individuals, which can affect important traits such as reproductive output,” Webster said. “We’re now working to understand why some genes are regulated consistently, while others are more variable. We’re also investigating how genome sequence and epigenetic modifications, the chemical changes influencing how DNA is packaged and regulated, contribute to these differences.”

Additionally, the award will enable the Webster Lab to investigate whether non-genetic differences that arise in one generation can affect subsequent generations. To do this, Webster will observe evolution in real time by employing experimental approaches allowing her lab to grow more than 200 generations of Caenorhabditis elegans populations.

NSF CAREER awards also support researchers’ investment in educating and training the next generation of scientists, and this award will bolster the Webster Lab’s offering of student opportunities in bioinformatics — a field combining computer science, statistics, and mathematics to analyze massive biological datasets — and artificial intelligence. For example, the Webster Lab employs these technologies to assist in identifying gene regulation patterns that are difficult and time consuming to detect manually.

“Since starting my lab at FSU, it’s been incredibly rewarding to see students and researchers become invested in the questions we’re asking and take ownership of their experiments and analyses,” Webster said. “We’ve accomplished a lot already, and I’m excited to see what we can do next with sustained NSF support.”

Webster joined FSU’s faculty in the Department of Biological Science in 2024 and earned a First-Year Assistant Professor Award in 2025. She earned a doctorate in genetics and genomics from Duke University in 2021 and was a postdoctoral scholar in the Institute of Ecology and Evolution at the University of Oregon before coming to Tallahassee.

Visit the Department of Biological Science website for more information on faculty research.

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A Florida State University research team has received a $350,000 grant from the Humana Foundation to develop and test an artificial intelligence-powered system that helps older adults build social connections through volunteering and community engagement.

The two-year project, “ALCOVE: A Personalized AI Concierge to Promote Community Engagement and Social Connectedness Among Older Adults,” will create a digital platform tailored to the needs, preferences and lifestyles of older adults across North Florida.

Led by FSU School of Information Professor and Institute for Successful Longevity Director Zhe He, the interdisciplinary team includes co-principal investigators Mia Liza A. Lustria and Dawn Carr, along with collaborators from multiple FSU departments and partner institutions.

“Social isolation is one of the most pressing public health crises, yet it is often an overlooked challenge facing older adults, and this grant from the Humana Foundation gives us the opportunity to do something meaningful about it,” He said. “ALCOVE harnesses the power of AI to help older adults find meaningful volunteer and social activities in their community — in a way that feels personal and supportive. It supports people in taking meaningful steps to reconnect with their communities and improve their overall well-being. We are deeply grateful to the Humana Foundation and look forward to making a real difference in the lives of older adults in North Florida.”

The ALCOVE system will function as a personalized “digital social concierge,” guiding users through a simple conversational process to learn about their interests, mobility, transportation options and social preferences. The platform will then match participants with vetted volunteer and community opportunities and provide ongoing reminders, encouragement and follow-up support to help them stay engaged.

The project addresses a growing public health concern. Research has linked chronic loneliness among older adults to increased risks of cognitive decline, heart disease, depression and premature death, as well as billions of dollars in annual health care costs. ALCOVE aims to connect older adults to community, purpose and opportunity.

“Finding opportunities is only part of the solution. People are much more likely to stay engaged when opportunities reflect who they are and fit the realities of their daily lives,” Lustria said. “AI makes that level of personalization possible by learning about each person’s interests, motivations, abilities, transportation options, and other real-world circumstances, allowing ALCOVE to deliver tailored recommendations and ongoing support that simply wouldn’t be feasible at this scale. Ultimately, our goal is to make meaningful community engagement more accessible, helping older adults find purpose, build relationships, and strengthen their connections with the communities around them.”

Carr, director of FSU’s Claude Pepper Center, noted the importance of the specific focus of this project on volunteering.

“Volunteering is a particularly novel and important health behavior to focus on with older adults at risk of experiencing social isolation and loneliness because it is among the most well-established activities for promoting meaningful social connections,” she said. “Not only does volunteering help people feel more connected in the community and with others, it’s also as effective as other health behaviors like exercising and eating well, showing that people who regularly volunteer experience reduced physiological aging over time.”

The project reflects FSU’s leadership in community-engaged and innovative aging research. ALCOVE builds on more than seven years of collaborative research by the team, including NIH-funded efforts to develop AI tools that support healthy aging and long-term engagement among older adults.

The Humana Foundation grant supports the development of the AI system, community-based research and evaluation of outcomes related to social engagement, loneliness and emotional well-being.

Through focus groups and co-design workshops, researchers will work with older adults in North Florida to identify challenges to social participation and shape the platform’s development. The team will then test the system in a two-year pilot study with approximately 50 participants.

Ultimately, the research team aims to use findings from the ALCOVE pilot to pursue additional federal funding and expand the platform to serve older adults nationwide.

The project includes collaborators from Weill Cornell Medicine and Arizona State University, as well as community partners such as the Tallahassee Senior Center, which will help connect researchers with local participants and organizations.

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Researchers at the FAMU-FSU College of Engineering and the National High Magnetic Field Laboratory have shown how higher magnetic fields can improve analysis of the molecules linked to Alzheimer’s disease, a finding that could aid the development of future treatments.

In a study published in Solid State Nuclear Magnetic Resonance, the researchers showed how a high-magnitude magnetic field can improve the accuracy of measurements that show the chemical composition of amyloid beta fragments, small pieces of proteins that have been shown to play a critical role in Alzheimer’s disease. They were able to analyze amyloid proteins even when they were structurally complex and mixed with lipids, creating conditions that more closely resemble the human brain than traditional laboratory samples.

By better understanding the composition and structure of these molecules, scientists can design compounds that may disrupt disease progression and lead to more effective treatments.

“The current treatment plans for Alzheimer’s disease are not working well enough,” said study co-author Ayyalusamy Ramamoorthy, a professor in the Department of Chemical and Biomedical Engineering. “This disease follows a complex process. We are looking into the mess of molecules implicated in memory loss, investigating how they promote toxic compounds in the brain and trying to stop them.”

How it works: finding a way to block Alzheimer’s disease

Researchers are still studying the exact mechanisms that cause Alzheimer’s disease, but amyloid beta proteins are believed to play a central role in the disease. These proteins are found clumped together among neurons inside affected brains. Studies have shown them to be a good benchmark for tracking disease progression and a potential target for treatment.

By mapping the structure of amyloid beta catalyzed by lipids, researchers can develop compounds that could effectively bind to its surface and fully stop them from killing neuronal cells within the brain.

“It’s like an incredibly complex puzzle piece,” Ramamoorthy said. “We want to create another puzzle piece that can match with it and stop it from binding with something within the brain responsible for memory.”

 What they did

To find the edges of that puzzle piece, Ramamoorthy and the research team used a nuclear magnetic resonance (NMR) spectrometer. NMR spectrometers work by placing a sample in a strong magnetic field and applying radio waves to excite atomic nuclei. By measuring how the atomic nuclei absorb and re-emit these radio waves, scientists can determine properties like the chemical composition of molecules.

Instead of clean samples, researchers analyzed amyloid beta interacting with a lipid found in the membrane of neural cells. That emulated the tangled mix of cells found within the brain.

They measured samples with a 600-megahertz spectrometer and a 1,100-megahertz spectrometer and compared the results. Researchers already knew that a higher magnetic field would enhance the spectral resolution of amyloid beta proteins. This study showed that an NMR spectrometer using a higher magnetic field could also better identify discrete parts of amyloid beta within a realistic sample.

Even though the protein-lipid mix looks chaotic overall, the improved measurements revealed distinct, well-ordered segments within the combined samples and evidence of a central core inside amyloid proteins.

“When you have these amorphous collections of different cell types, they are not well-ordered. When you try to take a picture, it looks very blurry,” Ramamoorthy said. “We were able to zoom in and get a look at the structured regions within the protein.”

Why it matters and future research

The study shows that a higher magnetic field NMR spectrometer can identify information from amyloid proteins that exist in a diverse mixture of cell types. Scientists studying Alzheimer’s disease are no longer limited to ideal samples. They can study complex mixtures and still get atomic-level clues.

The researchers plan to use the National High Magnetic Field Laboratory’s 1.5-gigahertz NMR spectrometer for future research.

“This is the only place in the world where such an ultra-high magnetic field (1.5-GHz) NMR spectrometer is available,” Ramamoorthy said. “We want to push the challenges and overcome the hurdles in developing potential drugs to treat Alzheimer’s and related diseases, and these resources are crucial for this work.”

FSU postdoctoral researcher Jhinuk Saha and University of Wisconsin researcher Thirupathi Ravula were co-authors on this study. This research was supported by the National Institutes of Health (NIDDK), the National Science Foundation, and Florida State University. The research used NHMFL at FSU and the National Magnetic Resonance Facility at the University of Wisconsin.

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Soon after the development of the first computers, engineers and programmers began tinkering with them to create games. Turning a calculating machine into a device for fun pushed the capabilities of the new technology, stimulated creative thinking and inspired interest from the public.

From their origins in the 1950s and 1960s, video games have come a long way. They’re now an industry that generates more than $180 billion annually around the world. Faculty at Florida State University are innovating in this rapidly evolving field, studying how games can reduce mental health stigma, improve language learning, train child welfare professionals and create new opportunities for science communication.

Games and human behavior

At the College of Communication and Information (CCI), researchers are investigating the cultural impacts of video games and how they can affect perceptions of mental illness. In 2025, Professor Nicholas Sellers authored a book chapter titled “GAMES FOR GOOD: Exploring the Potential for Traditional Video Game Narratives to Reduce Mental Health Stigma.”

The chapter is based on a study published in Frontiers, conducted by Sellers and Associate Professor Arienne Ferchaud. The study examined whether playing or watching a video game character experiencing mental illness affected participants’ attitudes toward mental health.

Researchers found that players who directly engaged with the game felt more connected to the character and demonstrated lower levels of stigma, which may help remove impediments to treatment.

“One of the main barriers to seeking treatment is the stigma around mental health. If we can find ways to destigmatize mental illness, we can remove that barrier and encourage treatment when necessary,” Ferchaud said. “Video games are an effective medium for representation because of their interactivity, allowing players to ‘practice’ interactions in a way that is not possible in non-interactive media.”

Other CCI researchers are also exploring applications of video games in the classroom. In a multi-institutional research study published in ACM Journals, Professor Sana Tibi co-led research examining whether collaborative video games can help English as a Second Language (ESL) students develop language skills. The study paired native English speakers and ESL students in a game that required communication and cooperation to complete tasks.

Other research is examining games as a communication medium that intrinsically involves decision making from the audience. Gabrielle Lamura, a doctoral student at FSU, explored horror and morality in video games in her paper, “Moral Dilemmas: Horror Video Games Narrative Mechanics,” which she presented at a 2025 National Communication Association conference.

Some of her other projects are examining how environmental factors and game mechanics influence player behavior and a review of morality and moral decision making in games.

At the FSU College of Music, Assistant Professor Julianne Grasso researches music in multimedia, especially video games, examining how musical themes associated with characters and places develop during a game’s narrative.

“Video game music is interesting for the ways that it seems to function as background and yet has such an effect on us,” Grasso said. “It’s similar to film music in that it can affect how we perceive the emotions and meanings of the scenes we are watching, but video game music goes one step further in influencing ultimately how players interact with virtual environments.”

As technology developed, game designers gained a greater ability to add richness and interactivity to in-game sounds and music, changing how users perceived their experience. Early adaptive audio has evolved so musical directors in modern games have a wide number of parameters they can adjust to fit their creative goals.

“In a film, we might get tense, dissonant music to accompany a suspenseful scene and help the audience feel what characters feel. In a game, that same kind of music might be used as a signal for the player to watch out for danger and to act accordingly,” she said.

From screen to reality: Practical applications of video game technology

The Florida Institute for Child Welfare (FICW) collaborated with different contractors to launch two new virtual reality (VR) tools that help social workers train for a critical job in low-stakes virtual environments.

“We are working to create real-world practice opportunities for both current child welfare professionals and students preparing to enter the field,” said FICW Associate Director of Professional Development Kristina Finch. “Through our immersive VR platforms, including the Accenture Avenues headset experiences and our AI-powered virtual home environment being developed with MeetKai, participants can build and strengthen the skills needed to effectively engage with children and families while promoting safety and well-being.”

These interactive simulations provide controlled environments where College of Social Work students can develop skills before practicing in real-world settings. These AI-powered tools allow students to practice observing environmental factors in a virtual setting, helping students connect classroom instruction with real-world practice.

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