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Tracking rain patterns will improve hurricane forecasting, UF researcher finds

Studying the precipitation patterns in hurricanes may be key to predicting future storm patterns and their potential strength, a University of Florida researcher has found. Supported by a four-year, $212,000 grant from the National Science Foundation, Professor of Geography Corene Matyas, Ph.D. has identified the patterns of rain rates within storms and studied the moisture surrounding these storms. “We are hoping that, if we have a better prediction of moisture availability, that might help us forecast rain events with greater accuracy,” Matyas said. “The more we know about how storms develop, the more we can predict their path and magnitude.” The ideal stage for the perfect storm The potential for devastating high winds, storm surge and flooding poses an annual threat to Florida and its residents. With 1,350 miles of coastline and relatively flat geography that juts out to separate the warm waters of the southeast Atlantic and the Gulf, Florida creates the ideal stage for the perfect storm. Last year broke records with 18 named storms, including 11 hurricanes in the Atlantic basin and three major hurricanes making landfall along Florida’s coast. Early predictions are crucial to hurricane preparedness, allowing for increased response time and resource allocation, and hurricane modeling is essential for understanding these somewhat unpredictable storms. Advances in technology, data collection and the use of artificial intelligence in hurricane modeling have significantly impacted the ability to predict a storm’s path and strength more accurately. Artificial intelligence helps researchers understand hurricanes Matyas has completed two studies on this topic. The first study processed 12,000 images of rain rates from tropical storms and hurricanes in the Atlantic, using a machine learning algorithm called a convolutional autoencoder. Similar in use to image recognition software, the encoder broke the rain rate images down and simplified the patterns. Six main types, or clusters, of rainfall patterns for tropical cyclones were identified. At a presentation of the work to forecasters at the National Weather Service office in Jacksonville, the forecasters confirmed that one of the patterns matches what they typically see when late-season storms make landfall over Florida’s Gulf Coast. The second study used the autoencoder to process 4,600 images that represent the amount of moisture in the atmosphere extending 1,000 kilometers away from each hurricane. “We looked for commonalities in the patterns and found four dominant patterns of moisture that accompany Atlantic basin hurricanes,” Matyas said. “We found the biggest storms with the most moisture make the most landfalls, typically in the Caribbean and even in southern Florida. They also have a large moisture pool, giving them a bigger chance of heavy rainfall.” According to Matyas, three of the moisture patterns found in the second study were strikingly like those found in the earlier study that used fewer observations in a statistical analysis. With this use of AI, researchers can now recognize and understand these moisture patterns better, which can improve predictions about a storm’s intensity, its size and the amount of rainfall that will result from it. Early, accurate storm predictions allow Floridians time to prepare Rapid intensification – when, in a 24-hour period, a storm experiences a sudden drop in pressure and a dramatic increase in wind speed – creates much more of a challenge for forecasters. “We tend to boil down a hurricane to a set of coordinates which track the middle of a storm,” Matyas said. “And the fastest winds do focus there, but the moisture gets pulled from thousands of kilometers away and the system forces the moisture up. That moisture must go somewhere. So, the outer edges of the storm need to be understood more as well.” Matyas hopes these studies will help scientists classify rain patterns more accurately and consistently. Continued funding for research at public universities from federal agencies, such as the National Science Foundation and the National Oceanic and Atmospheric Administration, is essential for helping researchers develop tools to detect and predict severe weather events. Matyas is one of two UF faculty members among 18 national researchers named to the 2025 class of fellows by the American Association of Geographers. Matyas and UF Geography Department Chair Jane Southworth, Ph.D. were honored by the organization for their contributions in biogeography, geospatial analytics, soil science, community geography, climatology and other areas related to geography. “I look forward to this opportunity to contribute to the mission of the AAG in a more formal capacity, continuing to research how weather shapes our spaces and share knowledge of earth systems beyond the classroom and the written word to promote an inclusive society,” Matyas said.

Online Dating in 2026: Are Apps Bringing Us Closer or Just Keeping Us Swiping?

In 2025, “We met on an app” is the most ordinary love story in the world. Swiping has replaced setups and chance encounters as the primary way couples connect in many countries. But as online dating becomes normal, a new question is emerging: Are app-born relationships actually as happy and secure as we think? Licensed Marriage & Family Therapist Gaea Woods, an expert in the Offline.now digital wellness directory, sees both sides in her practice. “Online dating is just a tool,” she says. “It can absolutely bring people together who would never have met otherwise. But the way we use it — the constant options, the ghosting, the parallel conversations — can quietly undermine trust even after you’ve deleted the app.” Woods says that she hears tension from from clients: “Singles tell me, ‘I hate the apps, but I don’t know another way to meet people.’ Couples tell me, ‘We met on an app, and I’m grateful — but there’s this low-level anxiety: Would you still be with me if you kept swiping?’ The technology amplifies questions that were always there about choice, commitment and comparison.” She emphasizes that how couples talk about their “app origin story” matters more than where they met. Unspoken assumptions — about whether exes stay in your DMs, if profiles stay active “just in case,” or how much flirting online is acceptable — often fuel insecurity more than the apps themselves. “Online dating is here to stay,” Woods says. “The question isn’t ‘Is it bad?’ It’s, ‘How do we use it in a way that supports real intimacy instead of keeping us one foot in and one foot out?’” Featured Expert Gaea Woods, MA, LMFT – Licensed Marriage & Family Therapist specializing in digital dependency, intimacy and communication in modern relationships. She can speak to app fatigue, the “online dating effect,” how apps change expectations around choice and commitment, and the kinds of conversations couples need to have once the swipe turns into something serious. Expert interviews can be arranged through the Offline.now media team.

Can You Reboot Your Family’s Screen Rules Before Going Back to School?

As kids head back to school after the holidays, many parents notice the same pattern: bedtimes drifted, screens crept into bedrooms, and mornings feel like a battle. Executive Function Coach Craig Selinger and Personal Development Coach Mark Diamond, both experts in the Offline.now directory, say the answer is yes; but only if families treat the last week of break as a “tech reset,” not just a scramble for school supplies. Selinger points out that today’s devices are structurally different from the TV many parents grew up with: “Phones and tablets are more addicting than the old living-room TV. There’s no natural ending — no episode, no credits, no ‘we’re done now.’ When the ‘TV’ lives in your child’s pocket, transitions to homework or sleep become a lot harder.” That matters because late-night screen habits have real consequences in the classroom. Reviews of adolescent media use consistently link bedtime and late-evening screen time with shorter sleep, poorer sleep quality, and worse next-day functioning; including attention, memory and mood that kids need to learn. On top of that, education and cognition research shows that media multitasking: juggling schoolwork with notifications, chats, and apps is associated with reduced sustained attention and weaker academic performance. Diamond, who ran a tech-free summer camp for 25 years, has seen how quickly kids’ brains and behavior respond when screens are dialed down and real-world activity is dialed up: “At camp, we watched kids go from anxious and distracted to confident and connected in a matter of days — without phones. Outdoor play, hands-on projects, chores, even just walking and talking with friends reset their mood and focus in a way no app can.” “Micro-routines make a macro difference,” says Diamond. “If you reclaim just an hour a day from screens for real-world activity, most kids feel the change in their bodies and brains within a week.” Selinger adds that the reset only sticks when adults go first: “You can’t tell a teen to stop scrolling at 11 p.m. while you’re answering work email in bed. Kids are watching how we transition off our own screens. If parents lead by example, the new school rules stop feeling like punishment and start feeling like the new normal.” For journalists covering back-to-school, kids’ mental health, learning and technology, this story connects the dots between holiday screen creep, sleep, attention, and how a simple, family-led “tech reset week” can set kids up to actually learn once they’re back in class. Featured Experts Craig Selinger, M.S., CCC-SLP – Executive Function Coach and child development specialist (Brooklyn Letters). He focuses on how kids actually learn, and how digital dependency, sleep loss and multitasking erode attention and academic skills. Mark Diamond – Personal Development Coach and former director of a tech-free summer camp. He specializes in outdoor wellness, behavior change, and helping families translate “camp magic” into everyday routines at home. Expert interviews can be arranged through the Offline.now media team.

AI-driven software is 96% accurate at diagnosing Parkinson's

Existing research indicates that the accuracy of a Parkinson’s disease diagnosis hovers between 55% and 78% in the first five years of assessment. That’s partly because Parkinson’s sibling movement disorders share similarities, sometimes making a definitive diagnosis initially difficult. Although Parkinson’s disease is a well-recognized illness, the term can refer to a variety of conditions, ranging from idiopathic Parkinson’s, the most common type, to other movement disorders like multiple system atrophy Parkinsonian variant and progressive supranuclear palsy. Each shares motor and nonmotor features, like changes in gait — but possess a distinct pathology and prognosis. Roughly one in four patients, or even one in two patients, is misdiagnosed. Now, researchers at the University of Florida and the UF Health Norman Fixel Institute for Neurological Diseases have developed a new kind of software that will help clinicians differentially diagnose Parkinson’s disease and related conditions, reducing diagnostic time and increasing precision beyond 96%. The study was published recently in JAMA Neurology and was funded by the National Institutes of Health. “In many cases, MRI manufacturers don’t communicate with each other due to marketplace competition,” said David Vaillancourt, Ph.D., chair and a professor in the UF Department of Applied Physiology and Kinesiology. “They all have their own software and their own sequences. Here, we’ve developed novel software that works across all of them.” Although there is no substitute for the human element of diagnosis, even the most experienced physicians who specialize in movement disorder diagnoses can benefit from a tool to increase diagnostic efficacy between different disorders, Vaillancourt said. The software, Automated Imaging Differentiation for Parkinsonism, or AIDP, is an automated MRI processing and machine learning software that features a noninvasive biomarker technique. Using diffusion-weighted MRI, which measures how water molecules diffuse in the brain, the team can identify where neurodegeneration is occurring. Then, the machine learning algorithm, rigorously tested against in-person clinic diagnoses, analyzes the brain scan and provides the clinician with the results, indicating one of the different types of Parkinson’s. The study was conducted across 21 sites, 19 of them in the United States and two in Canada. “This is an instance where the innovation between technology and artificial intelligence has been proven to enhance diagnostic precision, allowing us the opportunity to further improve treatment for patients with Parkinson’s disease,” said Michael Okun, M.D., medical adviser to the Parkinson’s Foundation and director of the Norman Fixel Institute for Neurological Diseases at UF Health. “We look forward to seeing how this innovation can further impact the Parkinson’s community and advance our shared goal of better outcomes for all.” The team’s next step is obtaining approval from the U.S. Food and Drug Administration. “This effort truly highlights the importance of interdisciplinary collaboration,” said Angelos Barmpoutis, Ph.D., a professor at the Digital Worlds Institute at UF. “Thanks to the combined medical expertise, scientific expertise and technological expertise, we were able to accomplish a goal that will change the lives of countless individuals.” Vaillancourt and Barmpoutis are partial owners of a company called Neuropacs whose goal is to bring this software forward, improving both patient care and clinical trials where it might be used.

UF professor to expand proven disease-prediction dashboard to monitor Gulf threats

After deploying life-saving cholera-prediction systems in Africa and Asia, a University of Florida researcher is turning his attention to the pathogen-plagued waters off Florida’s Gulf Coast. In the fight to end cholera deaths by 2030 – a goal set by the World Health Organization – UF researcher and professor Antar Jutla, Ph.D., has deployed his Cholera Risk Dashboard in about 20 countries, most recently in Kenya. Using NASA and NOAA satellite images and artificial intelligence algorithms, the dashboard is an interactive web interface that pinpoints areas ripe for thriving cholera bacteria. It can predict cholera risk four weeks out, allowing early and proactive humanitarian efforts, medical preparation and health warnings. Cholera is a bacterial disease spread through contaminated food and water; it causes severe intestinal issues and can be fatal if untreated. The US Centers for Disease Control reports between 21,000 and 143,000 cholera deaths each year globally. Make no mistake, the Cholera Risk Dashboard saves lives, existing users contend. His team now wants to set up a similar pathogen-monitoring and disease-prediction system for pathogenic bacteria in the warm, pathogen-fertile waters of the Gulf of America. “Its timeliness, its predictiveness and its ease of access to the right data is a game changer in responding to outbreaks and preventing potentially catastrophic occurrences.” - Linet Kwamboka Nyang’au, a senior program manager for Global Partnership for Sustainable Development Data Closer to home Jutla is seeking funding to develop a pathogen-prediction model to identify dangerous bacteria in the Gulf to warn people – particularly rescue workers – to use protective gear or avoid contaminated areas. He envisions post-hurricane systems for the Gulf that will help the U.S. Navy/Coast Guard and other rescue workers make informed health decisions before entering the water. And he wants UF to be at the forefront of this technology. “If we have enough resources, I think within a year we should have a prototype ready for the Gulf,” said Jutla, an associate professor with UF’s Engineering School Sustainable Infrastructure and Environment. “We want to build that expertise here at UF for the entire Gulf of America.” Jutla and his co-investigators have applied for a five-year, $4 million NOAA RESTORE grant to study pathogens known as vibrios off Florida’s West Coast and develop the Vibrio Warning System. These vibrios in the Gulf can cause diarrhea, stomach cramps, nausea, vomiting, fever and chills. One alarming example is Vibrio vulnificus, commonly known as flesh-eating bacteria, a bacterium that often leads to amputations or death. The Centers for Disease Control and Prevention (CDC) has reported increases in vibrio infections in the Gulf region, particularly from 2000 to 2018. The warm and ecologically sensitive Gulf waters provide a thriving habitat for harmful pathogens. “The grant builds directly on the success of our cholera-prediction system," Jutla noted. "By integrating AI technologies into public health decision-making, we would not only lead the nation but also become self-reliant in understanding the movement of environmentally sensitive pathogens, positioning ourselves as global leaders.” Learning from preparing early Jutla’s dashboards are critical tools for global health and humanitarian officials, said Linet Kwamboka Nyang’au, a senior program manager for Global Partnership for Sustainable Development Data. “Its timeliness, its predictiveness and its ease of access to the right data is a game changer in responding to outbreaks and preventing potentially catastrophic occurrences,” Kwamboka Nyang’au said. Over the last few years, Jutla and several health/government leaders have been working to deploy the cholera-predictive dashboard. “Our partnership with UF, the government of Kenya and others on the cholera dashboard is a life-saving mission for high-risk, extremely vulnerable populations in Africa. By predicting potential cholera outbreaks and coordinating multi-stakeholder interventions, we are enabling swift action and empowering local governments and communities to prevent crises before they unfold,” said Davis Adieno, senior director of programs for the Global Partnership for Sustainable Development Data. The early warnings for waterborne pathogens also allows the United Nations time to issue early assistance to residents in the outbreak’s path, said Juan Chaves-Gonzalez, a program advisor with the United Nations’ Office for the Coordination of Humanitarian Affairs. “There are several things we do with the money ahead of time. We provide hygiene kits. We repair and protect water sources. We start chlorination, we set up hand-washing stations, train and deploy rapid-response teams. At the community level, we try to inject funding to procure rapid-diagnostic tests,” he said. “We identify those very, very specific barriers and put money in organizations’ hands in advance to remove those barriers.” Eyes on the Gulf In the United States, hurricanes stir up vibrios in the Gulf, posing a high risk of infection for humans in the water. There has been a nearly 200% increase in these cases over the last 20 years in the U.S., according to the CDC. “After Hurricane Ian, we saw a very heavy presence of these vibrios in Sarasota Bay and the Charlotte Bay region. Not only that, but they were showing signs of antibiotic-resistance. Last year, we had one of the largest number of cases of vibriosis in the history of Florida,” Jutla said. Samples from 2024 hurricanes Helene and Milton are being analyzed with AI and complex bioinformatics algorithms. “If there is a risky operation by rescue personnel, not using personal protective equipment, then we would want them to know there is a significant concentration of these bacteria in the water,” Jutla said. “As an example, Navy divers operating in contaminated waters are at risk of infections from vibrios and other enteric pathogens, which can cause severe gastrointestinal and wound infections.” Safety and economics “Exposure to vibrios and other enteric pathogens,” Jutla added, “can disrupt economic activities, particularly in coastal regions that are dependent on tourism and fishing. And vibrios may be considered potential bioterrorism agents due to their ability to cause widespread illness and panic.” In developing the Vibrio Warning System, Jutla noted, he and his team want to significantly enhance public health safety and preparedness along the Gulf Coast. By leveraging advanced AI technologies, satellite datasets and predictive modeling, they plan to mitigate the risks posed by environmentally sensitive pathogenic bacteria, ensuring timely interventions and safeguarding human health and economic activities. “Hospital systems and healthcare providers in the Gulf region will have a tool for anticipatory decision making on where and when to anticipate illness from these environmentally sensitive vibrios, and issue a potential warning to the general public,” he said. “With the potential to become a leader in environmental pathogen prediction, UF stands at the forefront of this critical research, poised to make a lasting impact on local, regional, national and global health and safety.”

Why Your Digital Detox Resolution Fails by January 15

Every January, millions of people make the same promise: “This year I’m going to spend less time on my phone.” By mid-month, most are back to doomscrolling in bed, feeling like they’ve failed yet another resolution. According to Offline.now founder and author Eli Singer, that story is not about laziness, it’s about confidence. Offline.now’s proprietary research shows 8 in 10 people want to change their relationship with technology, but more than half feel so overwhelmed by their habits they don’t know where to start. “If you don’t learn how to manage the screens in your life, they will manage you,” says Singer. “When people tell us they feel overwhelmed, it’s not laziness. It’s a crisis of confidence. And confidence is something that can be built.” At the heart of the platform is the Offline.now Matrix, a behavioral framework that maps people into four quadrants: Overwhelmed, Ready, Stuck, or Unconcerned - based on their motivation and confidence levels. Someone who is “Overwhelmed” needs reassurance and tiny first steps; someone who is “Ready” can handle bigger commitments. Treating everyone as if they’re in the same place (“just delete Instagram”) virtually guarantees most resolutions will collapse. Psychotherapist Harshi Sritharan, MSW, RSW, who specializes in ADHD and modern anxiety, sees how this plays out in the brain. For many of her clients, especially those with ADHD, digital devices provide a fast dopamine hit that everyday life simply can’t match. “With ADHD, you’re working with a dopamine deficiency,” she explains. “Phones and apps are designed to give you highly stimulating, personalized content. You get this huge dopamine surge, and when you put the device down, everything else feels flat, boring and harder to start.” She notes that common habits like checking your phone the second you wake up, quietly undermine even the best January intentions: “If you’re on your phone first thing in the morning, you hijack your attention and dopamine for the rest of the day. Your brain has already tasted the highest stimulation it’s going to get, and it will keep seeking that level. That’s not a willpower issue, it’s neuroscience.” The good news: the science suggests you don’t need a perfect detox to see benefits. A JAMA Network Open study on young adults found that reducing social media use for just one week - without going completely offline; led to about a 24.8% drop in depression, a 16.1% drop in anxiety, and a 14.5% drop in insomnia symptoms. “Lasting change doesn’t require deleting Instagram or TikTok tomorrow,” says Singer. “You need to win one personal victory today, and then another tomorrow. That’s how confidence rebuilds.” Featured Experts Eli Singer – Founder of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance. Speaks to the behavioral data behind failed resolutions, the confidence gap, and the Offline.now Matrix framework. Harshi Sritharan, MSW, RSW – Psychotherapist specializing in ADHD, anxiety and digital dependency. Explains the dopamine science behind compulsive scrolling and offers brain-friendly strategies that work better than “willpower.” Expert interviews can be arranged through the Offline.now media team.

AI as IP™: A Framework for Boards, Executives, and Investors

Under current corporate accounting practices, artificial intelligence (AI) companies’ most valuable resources – large language models, training datasets, and algorithms – remain “off the books” or uncapitalized. As the importance of AI continues to grow in the global knowledge-based economy, financial statements are becoming less representative of a company’s true worth, creating a recognition gap. In this article, James E. Malackowski, Eric Carnick, and David Ngo present several conceptual frameworks to bridge this gap. They explain how the triangulation of three valuation approaches can reveal both the tangible investment base and the intangible, strategic upside of AI assets. In turn, these approaches provide board-level visibility into where AI capital resides and how it contributes to enterprise value. James E. Malackowski is the Chief Intellectual Property Officer (CIPO) of J.S. Held and Co-founder of Ocean Tomo, a part of J.S. Held. Mr. Malackowski has served as an expert on over one hundred occasions on intellectual property economics, including valuation, royalty, lost profits, price erosion, licensing terms, venture financing, copyright fair use, and injunction equities. He has substantial experience as a Board Director for leading technology corporations, research organizations, and companies with critical brand management issues.  This article is the second installment in our three-part series, Artificial Intelligence as Intellectual Property or “AI as IP™”, which explores how artificial intelligence assets should be treated as a form of intellectual property and enterprise capital. The first article, “A Strategic Framework for the Legal Profession”, explored the legal foundations for recognizing and protecting AI assets. The upcoming third article, “Guide for SMEs to Classify, Protect, and Monetize AI Assets”, will provide practical steps for small and mid-sized enterprises to turn AI into measurable economic value. To explore the topic further, simply connect with James through his icon below.

Tales of Christmas Past: Preserving Your Family History During the Holidays

During past family Christmas gatherings, many of us remember when older relatives regaled everyone with tales about their fascinating life stories, firsthand experiences as an eyewitness to history or simply sharing how favorite family traditions started. So how do you preserve those precious family memories during the holidays? Baylor University oral historians Stephen Sloan and Adrienne Cain Darough have recorded and preserved the oral history memoirs of thousands of individuals through their work with Baylor’s renowned Institute for Oral History, home of the national Oral History Association. Together, the historians share seven simple best practices to help family members begin oral history conversations that enrich recollections of the past and capture your family memories. “The holiday season brings about the opportunity to spend time with family members, especially those you may not be able to see on a frequent basis,” Cain Darough said. “This presents the perfect opportunity to conduct oral histories to capture the stories and experiences of your family and loved ones, to learn more about them, the history of your family, traditions that have been passed down from generation to generation and more.” Seven best practices for preserving your family’s oral history 1. Ask first! Make sure your family member wants their story to be documented or recorded. That is the first – and most important – question to ask, said Adrienne Cain Darough, M.L.S., assistant director and senior lecturer with the Institute for Oral History. Ask first. “Many oral historians have run into the spot where someone says, ‘Oh, my grandpa would be great for that topic,’ and you get there and it's, ‘Grandpa does not want to talk to you.’ So first, make sure they want their story recorded,” she said. 2. Determine the type of recording equipment you want to use. Decide if you want to record your interview with an audio recorder or use a video recording device. It all depends on your needs and comfort level with the technology. For family members who are unable to travel this holiday season, you can include them by capturing their stories using a remote recording platform like Zoom, which became a vital tool for oral historians when COVID struck in 2020. Helpful resources from Baylor’s Institute for Oral History include: How to choose the right digital recorder Oral History at a Distance webinar on the dynamics of conducting remote oral history interviews Remote Interviewing Resources guide (Oral History Association) 3. Research your family member’s life and their timeline to help you formulate your questions. Recording a family member’s oral history is more than just putting down a recorder in front of them and saying, “Talk.” If you’re recording an oral history over Christmas with a family member, are there specific things that you want to know that are related to the holiday? For example, what was Christmas morning like for them as a child? How did your favorite family traditions start? What is their favorite holiday dish? (Maybe they could even share the recipe. “You can finally learn why Nana’s banana pudding doesn’t even have bananas in it,” Cain Darough said.) “Doing your research to try to form those questions will help you get around the reluctance to talk sometimes,” Cain Darough added. “The favorite thing that I love to hear is, ‘Oh, I don't have much to say,’ or ‘I'm not that important.’ And then you sit down with them, and you listen to their stories, and your mind is just blown by the things that they've seen and experienced.” 4. Start with the basics: “Where are you from?” When Baylor oral historians conduct an interview, they generally begin with some life history of the subject, providing important context for historians. “Ask questions early on that are easy for them to answer: a little bit of the backstory, a little bit of where they're from, where they grew up,” said Stephen Sloan, Ph.D., director of the Institute for Oral History, executive director of Oral History Association and professor of history at Baylor. “I want to understand the lens through which they experienced events, and the only way I can do that is, who was this? What was formative in their life growing up? Who spoke into who they were? What did they learn? Where did they go? What did they do? Those are the sorts of things that I would be exploring early in the interview.” One of the questions Cain Darough enjoys asking is, “What did you want to be when you grew up?” “You want to give them something that's very easy and comfortable to talk about,” Cain Darough said. “What was your favorite subject in school, just to see if that was something that continued on in their life. If there's a certain hobby or something that you know that they're affiliated with, when did you learn about that? Tell me more. What's your interest with this? And then they'll get to talking.” 5. Ask open-ended questions – without making any assumptions. With oral history, it is important that you don’t go into the interview with a specific agenda or try to lead anyone to a certain conclusion. “We can do this very subtly by assuming information, but you can't assume anything about their experience with the topic,’” Sloan said. “If we assume information, it could be very far from how they encountered whatever event that may have been. Allow them to relate the ways in which they lived these experiences.” 6. Listen closely. Listening is an important facet of gathering oral history. But historians say you are not only listening for what they're saying, you're also listening for what they're not saying. “Are there things that are being skipped around?” Cain Darough said. “For example, sometimes when you're talking to veterans about their combat experience, it may be the first time that they're reliving or retelling these stories. They need time, and you just have to be prepared for that.” 7. Be patient. It might take your subject some time to warm up to the conversation. “If you're talking to someone who is 80, 90 or even 100, that's a lot of memories that they have to go through, so patience is important,” Cain Darough said. Looking to know more or arrange an interview? Simply click on Stephen's icon or contact: Shelby Cefaratti-Bertin today to connect with  Adrienne Cain Darough.

A year in the spotlight: University of Delaware’s most notable media mentions of 2025

In 2025, the University of Delaware had many exceptional media mentions. Here are some of the most notable.  Science coverage dominated  Where will the next big hurricane hit? Ask the sharks. (The Washington Post) – Aaron Carlisle, a marine ecologist, was featured for his revolutionary work using sharks to predict major weather events. Scientists could soon lose a key tool for studying Antarctica's melting ice sheets as climate risks grow (NBC News) – Carlos Moffat, an associate professor and oceanographer, spoke about the national budget and how it's impacting climate research.  These Katrina Survivors Feel Overlooked. Now, They’re Using TikTok to Tell Their Stories (Rolling Stone) – Jennifer Trivedi, a disaster researcher, spoke about why Hurricane Katrina was such a major story.  Malala Yousafzai, Migration and Sustainability (Forbes) – Saleem Ali, a professor of energy and environment, contributed regularly to Forbes on environmental topics.  Scientists went hunting for freshwater deep beneath the Atlantic Ocean. What they found could have global implications (CNN) – Holly Michael, a professor of Earth sciences and civil and environmental engineering, spoke about the history of freshwater.  Engineering Professor Answers Electric Car Questions (WIRED) – Willett Kempton, a professor of engineering, joined WIRED to answer the internet's most interesting questions about electric cars. Plastic shopping bag policies are actually working, a new study suggests (CNN) – Kimberly Oremus, associate professor of marine science and policy, was featured in several major outlets on the effectiveness of plastic bag bans.  Insects are dying: here are 25 easy and effective ways you can help protect them (The Guardian) – Douglas Tallamy, an entomologist, was featured in dozens of outlets for his expertise.    Political news coverage was front and center  U.S. Chamber of Commerce sues Trump administration over $100,000 H-1B visa fees (NPR) – Daniel Kinderman, a political science professor, was interviewed for his expertise on a lawsuit involving changes in work visas.  The government shutdown is over, but expect more fights and higher insurance prices to come (Delaware Public Media) – David Redlawsk, a political psychologist, discussed the recent government shutdown and what an end to it signals.  Wrestling Over Charlie Kirk’s Legacy and the Divide in America (The New York Times) – Dannagal Young, a communications professor, commented on how media reacted to the death of Charlie Kirk.  Consequences for colleges whose students carry mountains of debt? Republicans say yes (NPR) – Dominique Baker, associate professor of education, was quoted in multiple national outlets for her education expertise.   General expertise came in clutch  Why the U.S. struggles with passenger service despite having the most rail lines (NPR) – Allan Zarembski, a professor of railroad engineering, was featured in dozens of national publications for his expertise.  From folklore to your front porch: The history of the jack-o'-lantern (NPR) – Cindy Ott, an associate professor of history, detailed the history of this autumn staple in multiple outlets.   Nexstar Media Group buying Tegna in deal worth $6.2 billion (AP) – Danilo Yanich, professor of public policy, noted the ways the media giant duplicates work across networks.  Warren Buffett hired Todd Combs to take over Berkshire's portfolio one day. Here's what close watchers say about his surprise exit. (Business Insider) – Lawrence Cunningham, director of UD's Weinberg Center, was featured throughout the year for his business and economic expertise.  Enlighten Me: How to make your holidays truly happy (Delaware Public Media) – Amit Kumar, a professor of marketing, discussed strategies for finding happiness during the holidays throughout the winter season.  Students and their stories shined throughout the year Networking: Is it what you know or who you know? (The Chronicle of Higher Education) – UD's career-development office, which assists students on their job journeys, was featured.  U of Delaware Creates Yearlong Co-Ops for Business Students (Inside Higher Ed) – A new partnership with the state of Delaware connects business students to local employers, with the goal of reducing brain drain in the region was featured.  Wilmington’s 'STEM Queen' earns national Obama–Chesky honor (The News Journal/Delaware Online) – Jacqueline Means, a management information systems major, was featured for earning a national recognition. Vita Nova Restaurant Gives Culinary Students Hands-on Training (Delaware Today) – The student-staffed restaurant, Vita Nova, was featured.  Delaware professor transforms writing class by teaching students to use AI as the technology reshapes the workforce (WHYY) – Matt Kinservik, a professor of English, was featured for teaching students to use AI responsibly, exploring its capabilities and fact-checking tools. Pop culture experts weighed in 'Stranger Things' expert at UD chats about Netflix show's appeal (The News Journal/Delaware Online) – Siobhan Carroll, an associate English professor, sat down with a reporter to discuss the latest season and how the horror genre is often a mirror of our real world. “Horrendous And Insulting”: Backlash Erupts Over “Misrepresentation” In 2026 Wuthering Heights (Bored Panda) – Thomas Leitch, an English professor, said that “literal adaptations of classic novels are exceedingly rare, maybe impossible.” Major changes at UD highlighted University of Delaware appoints interim president to the permanent post (The Philadelphia Inquirer) – News of UD's new president, Laura A. Carlson, was covered throughout the region. Retiree learning center gets boost with $1M gift for downstate OLLI classes (Spotlight Delaware) – a large donation to the southern Delaware chapter of the Osher Lifelong Learning Institute, was featured. To speak with any of these experts in 2026 on these stories or others, please reach out to MediaRelations@udel.edu. Happy holidays and cheers for a bright and healthy new year! 

Pushing the edge of computing, magneto-ionics imagines efficient processing for AI with reduced resource consumption

Artificial intelligence is a resource-intensive technology. A paper recently published in Nano Letters by collaborators at the Virginia Commonwealth University (VCU) College of Engineering and Georgetown University hopes to improve AI’s ability to parse the vast amounts of information it creates by applying magneto-ionics to the established concept of physical reservoir computing (PRC). “Demonstrating we can make solid-state devices with magneto-ionic materials is an important step into further energy-efficient computing research, and this Nano Letters publication reinforces that,” said Muhammad (Md.) Mahadi Rajib, Ph.D., a postdoc with Jayasimha Atulasimha, Ph.D., Engineering Foundation Professor in the Department of Mechanical & Nuclear Engineering. What makes a decision? Our brains make countless complex decisions everyday. Input comes in, we weigh options and decide what to do. Within that simple path are countless identical loops of input, consideration and output as neurons fire in a chain that takes you from cause to effect. For artificial intelligence, nodes within a neural network receive inputs and provide output, much like the neurons in our brains. These outputs can be sent to other nodes for continued processing, but those outputs need weight to have value. For AI, weight signifies one input or connection is more important than another. Traditional neural networks have multiple layers consisting of countless nodes like this. Each node requires training in order to weigh things properly. Training consumes processing power, and processing power takes time and energy. Making tasks like analysis and prediction more efficient is how to continuously improve AI technology. Less training, more efficiency. Physical reservoir computing reduces the number of nodes an AI needs to train. Only the final output layer needs training in PRC, using a simple method for classification or prediction tasks. A physical “black box” replaces neural network nodes and synapses, like the ones used for AI inference, in PRC and processes inputs by implementing a nonlinear mathematical function with temporal memory. To explain the inner workings of the black box, imagine two stones thrown into still water. One stone is thrown with high force and the other with low force, creating big and small ripples respectively. If the stones are thrown so the second stone lands before the previous ripples have dissipated, the new ripple is affected by the earlier one. This illustrates the concept of temporal memory. In this analogy, if multiple stones are thrown one after another into still water according to some complex trend, observing the ripples over time allows you to understand the trend and train a simple set of weights to predict the force of the next stone throw from the ripple pattern. Repeatedly performing this cycle of input, interaction and observation is PRC. It reveals patterns over time that can predict chaotic systems, like market trends or the weather, using techniques like linear regression modeling to plot each output as a single point. The magneto-ionic approach. Using this same example above, the “water” in a magneto-ionic PRC is represented by a positive and negative electrode with solid-state electrolyte between them through which ions move when voltage is applied. The application of voltage is equivalent to throwing a stone and the ripple effect is comparable to the movement of oxygen ions in the system. “In addition to its energy efficiency, a useful feature of the magnetoionic system is that time scales for ion diffusion can be controlled from microseconds to minutes,” Atulasimha said. “This leads to simple experimental demonstration, as no megahertz and gigahertz measurements are needed. One can work at the natural time scales of the target application in practical systems and remove the need for complex frequency conversion, which takes both energy and space due to complex electronics.” Atulasimha imagines these energy-efficient reservoir systems have applications in edge computing devices like drones, automated vehicles and surveillance cameras. Tasks such as household energy load forecasting, weather prediction or processing hourly readings from wearable devices, which operate on hour-scale data, can also be performed using magneto-ionic PRC without additional preprocessing. “We showed that the magneto-ionic physical reservoir has both memory and nonlinear behavior, two important properties necessary for using it as a reservoir block,” Rajib said. “Our system stands out because voltage-controlled ion migration is a highly energy efficient method of manipulating magnetization. We demonstrated the required reservoir properties in a physical system and did so using a very energy efficient approach.” Two labs came together in order to pursue this research. Virginia Commonwealth University collaborators included Atulasimha, Rajib, and VCU Ph.D. students Fahim Chowdhury and Shouvik Sarker. The Georgetown University team included Kai Liu, Ph.D., Professor and McDevitt Chair in Physics, Dhritiman Bhattacharya, Ph.D., Christopher Jensen, Ph.D. and Gong Chen, Ph.D. Atulasimha’s group illustrated physical reservoir computing using numerical models of spintronic devices and sought a material system to experimentally demonstrate PRC. Liu’s team worked with magneto-ionic materials and was intrigued by the possibility of using them for computing applications.