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Robotics help solve deep Sea Mysteries
UD's College of Earth, Ocean and Environment uses robotics currently operated by the National Deep Submergence Facility (NDSF) to study the depths of the ocean. These expeditions ranged from the East Pacific Rise to the Mid-Atlantic Ridge. The vehicles include the Human Occupied Vehicle (HOV) Alvin, the Remotely Operated Vehicle (ROV) Jason and the Autonomous Underwater Vehicle (AUV) Sentry. What it is: A CTD (Conductivity, Temperature, Depth) instrument is a key oceanography tool that collects deep-water samples using remotely triggered Niskin bottles at specific depths. How it helps: These measurements help scientists understand ocean processes, including carbon cycling and life systems, which are essential to understanding Earth’s overall functioning. To find out more or to speak with speak associate professor Andrew Wozniak about this deep-sea technology, reach out to MediaRelations@udel.edu.
Ghost sharks grow forehead teeth to help them have sex
Male “ghost sharks” — eerie deep-sea fish known as chimaeras that are related to sharks and rays — have a strange rod jutting from their foreheads, studded with sharp, retractable teeth. New research reveals these are not merely lookalikes, but real rows of teeth that grow outside the mouth. What’s more, the toothy appendage is likely used for mating. Found only in males, the forehead rod — called a tenaculum — is the ghost sharks’ only source of distinct teeth, and it seems to be used to grasp females in much the same way sharks use their toothy mouths in mating. “If these strange chimaeras are sticking teeth on the front of their head, it makes you think about the dynamism of tooth development more generally,” said Gareth Fraser, Ph.D., a professor of biology at the University of Florida and senior author of the study. “If chimaeras can make a set of teeth outside the mouth, where else might we find teeth?” The team, including scientists from the University of Washington and the University of Chicago, studied both fossils and living specimens to solve the mystery. A 315-million-year-old fossil showed the tenaculum attached to the upper jaw, bearing teeth incredibly similar to those in the mouth. Modern chimaeras collected from Puget Sound revealed the same tooth-growing process on the head, seen in modern-day shark jaws. And genetic testing confirmed they expressed the same tooth-specific genes as oral teeth. “What we found is that the teeth on this strange appendage look very much like rows of shark teeth. The ability to make teeth transferred onto that appendage, likely from the mouth,” Fraser said. “Over time, the tenaculum shortened but retained the ability to make oral teeth on this forehead appendage.” Fraser collaborated with Washington’s Karly Cohen, Ph.D., and Michael Coates, Ph.D., from Chicago on the study, which was published this week in the Proceedings of the National Academy of Sciences. As experts in shark evolution and anatomy, the scientists were intrigued by these tooth-filled rods sprouting from the ghost shark foreheads. The central mystery: Is the tenaculum covered in true teeth related to oral teeth or more similar to the tooth-like scales plastering the skin of sharks and some ghost sharks? CT scans of the fossils and modern chimaeras gave the scientists unprecedented, detailed insights into the development of the tenaculum teeth, which looked remarkably similar to the teeth of today’s sharks. The nail in the coffin came from genetic evidence. The tenaculum teeth express genes found only in true teeth, never in shark skin denticles. "What I think is very neat about this project is that it provides a beautiful example of evolutionary tinkering or ‘bricolage,’” said Coates, a professor of biology at the University of Chicago. “We have a combination of experimental data with paleontological evidence to show how these fishes co-opted a preexisting program for manufacturing teeth to make a new device that is essential for reproduction." Cohen, a postdoctoral researcher at the University of Washington’s Friday Harbor Labs and first author of the paper, said scientists had never spotted teeth outside the mouth in this way before. “The tenaculum is a developmental relic, not a bizarre one-off, and the first clear example of a toothed structure outside the jaw,” she said. The bizarre path from a mouth full of teeth to forehead teeth used for mating demonstrates the impressive flexibility of evolution, the researchers say, always ready to repurpose structures for strange and unexpected new uses. “There are still plenty of surprises down in the ocean depths that we have yet to uncover,” Fraser said.
Blizzard of ’26 – One for the History Books
“The blizzard of ‘26 will be remembered in meteorology circles,” Dr. Jase Bernhardt told Newsday about the historic storm this week that dropped approximately 30 inches of snow on parts of Long Island. The Hofstra University associate professor of geology, environment, and sustainability and director of meteorology explained the blizzard hit what’s known as the “70/40 benchmark." That’s 40 degrees north latitude and 70 degrees west longitude, geographic coordinates for a spot over the Atlantic Ocean: “That’s the sweet spot,” said Dr. Bernhardt. “Say it tracks 50 miles south and east, that means the heaviest snow shifts farther away. If it tracks closer, oftentimes, it’s bringing in warm air closer to the center [of the storm], and if it tracks too close, it might yield heavy precipitation, but it’s going to be too warm for all snow.”
Ocean Tomo Releases 2025 Intangible Asset Market Value Study Results
Global consulting firm J.S. Held announces the release of the Ocean Tomo Intangible Asset Market Value (IAMV) study. With this release, the study now reflects a panel of 50 years of data in the US market and 20 years of data in foreign markets. The study examines the components of market value, specifically the role of intangible assets, across a range of global indexes. IAMV is shown as of calendar year end by subtracting net tangible asset value from market capitalization. Commenting on the Components of S&P 500® Market Value, economic expert and study author Matthew Johnson observes, “the composition of corporate value has undergone a fundamental transformation over the past five decades.” In 1975, tangible assets—property, plant, equipment, inventory, and other physical capital—represented 83% of the market value of companies comprising the S&P 500 index, with intangible assets accounting for only 17%. By the end of 2025, this relationship had completely inverted: intangible assets now constitute approximately 92% of S&P 500 market capitalization, while tangible assets have been reduced to a mere 8%. Johnson adds, “This 75 percentage point shift represents what Ocean Tomo has defined as ‘economic inversion’— a wholesale transformation in the nature of value creation whereby economic worth has migrated from what can be ‘touched’ to what can be ‘thought’." The magnitude and implications of this transformation are comparable to the Industrial Revolution of the 18th and 19th centuries. Just as the Industrial Revolution fundamentally restructured economic activity from agrarian and craft-based production to mechanized manufacturing, the intangible revolution has redefined the sources and measurement of corporate value in the 21st century. Ocean Tomo Co-founder and J.S. Held Chief Intellectual Property Officer, James E. Malackowski observes, “While the Industrial Revolution required a century to unfold fully, the intangible revolution has occurred within a single human lifespan, with particularly rapid acceleration occurring in the 1985-2005 period when intangible asset market value increased from 32% to 79%—a remarkable 47 percentage point surge in just two decades.” The 2020-2025 period deserves special attention: S&P 500 IAMV remained stable at approximately 90% despite the Federal Reserve implementing the most aggressive monetary tightening cycle in four decades. Dr. Nikki Tavasoli, PhD, shares, “Traditional financial theory predicts that intangible-intensive firms should be highly sensitive to interest rate changes due to their long-duration cash flows and limited collateral value.” She adds, “The observed stability challenges this prediction and requires explanation, which we address in a forthcoming paper.” In 2005, the IAMV study was expanded beyond the S&P 500 to explore the components of value in several key international markets. Stock market indexes from Europe, China, Japan, and South Korea were selected and analyzed to determine the comparable role of intangible assets. To learn more about the 2025 Intangible Asset Market Value Study, please visit: Media Contact Kristi L. Stathis, J.S. Held 1 786 833 4864 Kristi.Stathis@JSHeld.com JSHeld.com
Research Matters: 'Unsinkable' Metal Is Here
What if boats, buoys, and other items designed to float could never be sunk — even when they’re cracked, punctured, or tossed by an angry sea? If you think unsinkable metal sounds like science fiction. Think again. A team of researchers at the University of Rochester led by professor Chunlei Guo has devised a way to make ordinary metal tubes stay afloat no matter how much damage they sustain. The team chemically etches tiny pits into the tubes that trap air, keeping the tubes from getting waterlogged or sinking. Even when these superhydrophobic tubes are submerged, dented, or punctured, the trapped air keeps them buoyant and, in a very literal sense, unsinkable. “We tested them in some really rough environments for weeks at a time and found no degradation to their buoyancy,” says Guo, a professor of physics and optics and a senior scientist at the University of Rochester’s Laboratory for Laser Energetics. “You can poke big holes in them, and we showed that even if you severely damage the tubes with as many holes as you can punch, they still float.” Guo and his team could usher in a new generation of marine tech, from resilient floating platforms and wave-powered generators to ships and offshore structures that can withstand damage that would sink traditional steel. Their research highlights the University of Rochester’s knack for translating physics into practical wonder. For reporters covering materials science, sustainable engineering, ocean tech, or innovative design, Guo is the ideal expert to explain why “unsinkable metal” might be closer to everyday use than you think. To connect with Guo, contact Luke Auburn, director of communications for the Hajim School of Engineering and Applied Sciences, at luke.auburn@rochester.edu.
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.
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!
With OpenAI’s latest release, GPT-5.2, AI has crossed an important threshold in performance on professional knowledge-work benchmarks. Peter Evans, Co-Founder & CEO of ExpertFile, outlines how these technologies will fundamentally improve research communications and shares tips and prompts for PR pros. OpenAI has just launched GPT-5.2, describing it as its most capable AI model yet for professional knowledge work — with significantly improved accuracy on tasks like creating spreadsheets, building presentations, interpreting images, and handling complex multistep workflows. And based on our internal testing, we're really impressed. For communications professionals in higher education, non-profits, and R&D-focused industries, this isn’t just another tech upgrade — it’s a meaningful step forward in addressing the “research translation gap” that can slow storytelling and media outreach. According to OpenAI, GPT-5.2 represents measurable gains on benchmarks designed to mirror real work tasks. In many evaluations, it matches or exceeds the performance of human professionals. Also, before you hit reply with “Actually, the best model is…” — yes, we know. ChatGPT-5.2 isn’t the only game in town, and it’s definitely not the only tool we use. Our ExpertFile platform uses AI throughout, and I personally bounce between Claude 4.5, Gemini, Perplexity, NotebookLM, and more specialized models depending on the job to be done. LLM performance right now is a full-contact horserace — today’s winner can be tomorrow’s “remember when,” so we’re not trying to boil the ocean with endless comparisons. We’re spotlighting GPT-5.2 because it marks a meaningful step forward in the exact areas research comms teams care about: reliability, long-document work, multi-step tasks, and interpreting visuals and data. Most importantly, we want this info in your hands because a surprising number of comms pros we meet still carry real fear about AI — and long term, that’s not a good thing. Used responsibly, these tools can help you translate research faster, find stronger story angles, and ship more high-quality work without burning out. When "Too Much" AI Power Might Be Exactly What You Need AI expert Allie K. Miller's candid but positive review of an early testing version of ChatGPT 5.2 highlights what she sees as drawbacks for casual users: "outputs that are too long, too structured, and too exhaustive." She goes on to say that in her tests, she observed that ChatGPT-5,2 "stays with a line of thought longer and pushes into edge cases instead of skating on the surface." Fair enough. All good points that Allie Miller makes (see above). However, for communications professionals, these so-called "downsides" for casual users are precisely the capabilities we need. When you're assessing complex research and developing strategic messaging for a variety of important audiences, you want an AI that fits Miller's observation that GPT-5.2 feels like "AI as a serious analyst" rather than "a friendly companion." That's not a critique of our world—it's a job description for comms pros working in sectors like higher education and healthcare. Deep research tools that refuse to take shortcuts are exactly what research communicators need. So let's talk more specifically about how comms pros can think about these new capabilities: 1. AI is Your New Speed-Reading Superpower for Research That means you can upload an entire NIH grant, a full clinical trial protocol, or a complex environmental impact study and ask the model to highlight where key insights — like an unexpected finding — are discussed. It can do this in a fraction of the time it would take a human reader. This isn’t about being lazy. It’s about using AI to assemble a lot of tedious information you need to craft compelling stories while teams still parse dense text manually. 2. The Chart Whisperer You’ve Been Waiting For We’ve all been there — squinting at a graph of scientific data that looks like abstract art, waiting for the lead researcher to clarify what those error bars actually mean. Recent improvements in how GPT-5.2 handles scientific figures and charts show stronger performance on multimodal reasoning tasks, indicating better ability to interpret and describe visual information like graphs and diagrams. With these capabilities, you can unlock the data behind visuals and turn them into narrative elements that resonate with audiences. 3. A Connection Machine That Finds Stories Where Others See Statistics Great science communication isn’t about dumbing things down — it’s about building bridges between technical ideas and the broader public. GPT-5.2 shows notable improvements in abstract reasoning compared with earlier versions, based on internal evaluations on academic reasoning benchmarks. For example, teams working on novel materials science or emerging health technologies can use this reasoning capability to highlight connections between technical results and real-world impact — something that previously required hours of interpretive work. These gains help the AI spot patterns and relationships that can form the basis of compelling storytelling. 4. Accuracy That Gives You More Peace of Mind...When Coupled With Human Oversight Let’s address the elephant in the room: AI hallucinations. You’ve probably heard the horror stories — press releases that cited a study that didn’t exist, or a “quote” that was never said by an expert. GPT-5.2 has meaningfully reduced error rates compared with its predecessor, by a substantial margin, according to OpenAI Even with all these improvements, human review with your experts and careful editing remain essential, especially for anything that will be published or shared externally. 5. The Speed Factor: When “Urgent” Actually Means Urgent With the speed of media today, being second often means being irrelevant. GPT-5.2’s performance on workflow-oriented evaluations suggests it can synthesize information far more quickly than manual review, freeing up a lot more time for strategic work. While deeper reasoning and longer contexts — the kinds of tasks that matter most in research translation — require more processing time and costs continue to improve. Savvy communications teams will adopt a tiered approach: using faster models of AI for simple tasks such as social posts and routine responses, and using reasoning-optimized settings for deep research. Your Action Plan: The GPT-5.2 Playbook for Comms Pros Here’s a tactical checklist to help your team capitalize on these advances. #1 Select the Right AI Model for the Job: Lowers time and costs • Use fast, general configurations for routine content • Use reasoning-optimized configurations for complex synthesis and deep document understanding • Use higher-accuracy configurations for high-stakes projects #2 Find Hidden Ideas Beyond the Abstract: Deeper Reasoning Models do the Heavy Work • Upload complete PDFs — not just the 2-page summary you were given • Use deeper reasoning configurations to let the model work through the material Try these prompts in ChatGPT5.2 “What exactly did the researchers say about this unexpected discovery that would be of interest to my <target audience>? Provide quotes and page references where possible.” “Identify and explain the research methodology used in this study, with references to specific sections.” “Identify where the authors discuss limitations of the study.” “Explain how this research may lead to further studies or real-world benefits, in terms relatable to a general audience.” #3 Unlock Your Story Leverage improvements in pattern recognition and reasoning. Try these prompts: “Using abstract reasoning, find three unexpected analogies that explain this complex concept to a general audience.” “What questions could the researchers answer in an interview that would help us develop richer story angles?” #4 Change the Way You Write Captions Take advantage of the way ChatGPT-5.2 translates processes and reasons about images, charts, diagrams, and other visuals far more effectively. Try these prompts: Clinical Trial Graphs: “Analyze this uploaded trial results graph upload image. Identify key trends, and comparisons to controls, then draft a 150-word donor summary with plain-language explanations and suggested captions suitable for donor communications.” Medical Diagrams: “Interpret these uploaded images. Extract diagnostic insights, highlight innovations, and generate a patient-friendly explainer: bullet points plus one visual caption.” A Word of Caution: Keep Experts in the Loop to Verify Information Even with improved reliability, outputs should be treated as drafts. If your team does not yet have formal AI use policies, it's time to get started, because governance will be critical as AI use scales in 2026 and beyond. A trust-but-verify policy with experts treats AI as a co-pilot — helpful for heavy lifting — while humans remain accountable for approval and publication. The Importance of Humans (aka The Good News) Remember: the future of research communication isn’t about AI taking over — it’s about AI empowering us to do the strategic, human work that machines cannot. That includes: • Building relationships across your institution • Engaging researchers in storytelling • Discovering narrative opportunities • Turning discoveries into compelling narratives that influence audiences With improvements in speed, reasoning, and reliability, the question isn’t whether AI can help — it’s what research stories you’ll uncover next to shape public understanding and impact. FAQ How is AI changing expectations for accuracy in research and institutional communications? AI is shifting expectations from “fast output” to defensible accuracy. Better reasoning means fewer errors in research summaries, policy briefs, and expert content—especially when you’re working from long PDFs, complex methods, or dense results. The new baseline is: clear claims, traceable sources, and human review before publishing. ⸻ Why does deeper AI reasoning matter for communications teams working with experts and research content? Comms teams translate multi-disciplinary research into messaging that must withstand scrutiny. Deeper reasoning helps AI connect findings to real-world relevance, flag uncertainty, and maintain nuance instead of flattening meaning. The result is work that’s easier to defend with media, leadership, donors, and the public—when paired with expert verification. ⸻ When should communications professionals use advanced AI instead of lightweight AI tools? Use lightweight tools for brainstorming, social drafts, headlines, and quick rewrites. Use advanced, reasoning-optimized AI for high-stakes deliverables: executive briefings, research positioning, policy-sensitive messaging, media statements, and anything where a mistake could create reputational, compliance, or scientific credibility risk. Treat advanced AI as your “analyst,” not your autopilot. ⸻ How can media relations teams use AI to find stronger story angles beyond the abstract? AI can scan full papers, grants, protocols, and appendices to surface where the real story lives: unexpected findings, practical implications, limitations, and unanswered questions that prompt great interviews. Ask it to map angles by audience (public, policy, donors, clinicians) and to point to the exact sections that support each angle. ⸻ How should higher-ed comms teams use AI without breaking embargoes or media timing? AI can speed prep work—backgrounders, Q&A, lay summaries, caption drafts—before embargo lifts. The rule is simple: treat embargoed material like any sensitive document. Use approved tools, restrict sharing, and avoid pasting embargoed text into unapproved systems. Use AI to build assets early, then finalize post-approval at release time. ⸻ What’s the best way to keep faculty “in the loop” while still moving fast with AI? Use AI to produce review-friendly drafts that reduce load on researchers: short summaries, suggested quotes clearly marked as drafts, and a checklist of claims needing verification (numbers, methods, limitations). Then route to the expert with specific questions, not a wall of text. This keeps approvals faster while protecting scientific accuracy and trust. ⸻ How should teams handle charts, figures, and visual data in research communications? AI can turn “chart confusion” into narrative—if you prompt for precision. Ask it to identify trends, group comparisons, and what the figure does not show (limitations, missing context). Then verify with the researcher, especially anything involving significance, controls, effect size, or causality. Use the output to write captions that are accurate and accessible. ⸻ Do we need an AI Use policy in comms and media relations—and what should it include? Yes—because adoption scales faster than risk awareness. A practical policy should define: approved tools, what data is restricted, required human review steps, standards for citing sources/page references, rules for drafting quotes, and escalation paths for sensitive topics (health, legal, crisis). Clear guardrails reduce fear and prevent preventable reputational mistakes. If you’re using AI to move faster on research translation, the next bottleneck is usually the same one for many PR and Comm Pros: making your experts more discoverable in Generative Search, your website, and other media. ExpertFile helps media relations and digital teams organize their expert content by topics, keep detailed profiles current, and respond faster to source requests—so you can boost your AI citations and land more coverage with less work. For more information visit us at www.expertfile.com
Farm but no fowl: How Florida aquaculture is growing the economy
Florida’s thriving aquaculture industry is a vital part of the state’s economy, generating more than $165 million in sales annually and supporting jobs across rural and coastal communities. Recognized as agriculture by the Florida Legislature in 1993, aquaculture contributes to food security, environmental sustainability and economic resilience. “Just like terrestrial, land-based agriculture, aquaculture is the process of growing or raising a product,” said Shirley Baker, UF/IFAS professor of aquaculture and associate director of the School of Forest, Fisheries and Geomatics Sciences. “The people who do the work consider themselves farmers. Their products are simply plants and animals grown or raised underwater.” Overseen by the Florida Department of Agriculture & Consumer Services (FDACS), the industry includes an estimated 1,500 varieties of food fish, bait fish, mollusks, aquatic plants, alligators, turtles, crustaceans, amphibians, caviar and ornamental fish. With proper regulatory support, aquaculture can continue to be a driving force in Florida’s economy and environmental stewardship. The hallmark of Florida aquaculture is ornamental, or tropical fish, the saltwater and freshwater species bred for aquariums. In 2023, the sector generated more than $57 million, making the state the country’s top pet fish producer. In fact, 95% of ornamental fish in the United States come from the Sunshine State. About 90% of Florida’s ornamental fish are freshwater varieties. Farmers primarily raise live-bearing species in sterilized earthen ponds dug into loam or bedrock. They fill ponds with sexually mature fish called broodstock and harvest offspring using baited traps. Most egg-laying fish are grown in commercial hatcheries. Like ornamental fish, the demand for farmed seafood has grown as wild-caught sources are increasingly depleted. Globally, more than 50% of all seafood for human consumption is produced through aquaculture. “Seafood is considered one of the most in-demand sources of lean protein in the world, and it has to come from somewhere,” said Matthew DiMaggio, director of the UF/IFAS Tropical Aquaculture Laboratory in Ruskin. “The ocean can't produce any more than it already has, so aquaculture has to make up the deficit.” In Florida, as the number of fish farms and the scale of their operations have grown, the value of food fish sales has skyrocketed. Between 2018 and 2023, sales rose from $4 million to $26 million, a 550% increase. Some of the most common Florida food fish are tilapia, striped bass, cobia, pompano and red drum. They’re housed in various ways. Operations can include fiberglass ponds, vats and tanks inside greenhouses and recirculating systems occupying entire warehouses. Farmers typically start with fingerlings, or juvenile fish, purchased from reputable suppliers. Aquaculture farmers share their experiences Evans Farm of Pierson, Florida, is among the pioneering food fish farms in the state. Originally cattle farmers, the company expanded to sell tilapia, striped bass and caviar harvested from sturgeon. Fish are kept in filtered, recirculating ponds and long tanks known as raceways. They’re transported live to grocery stores and markets in vans outfitted with tanks and filtration systems. “Our fish are thriving, and they’re healthy. We grow them with great water quality, and we feed them excellent food,” said Jane Davis, who owns the business with her mother and brothers. “Although they’re raised in water, they’re no different than other agriculture crops, whether it's cattle, chickens or anything else.” Mollusks are another significant contributor to Florida aquaculture. While the sector includes oysters and scallops, clams are the dominating commodity; in 2023, they brought in $32 million of the state’s $43 million in mollusk sales. Clam farmers generally obtain grain-sized seed clams from hatcheries. The smallest varieties are initially cared for in nursery systems. Once the shells become large enough, they’re transferred to bags submerged off the coast. Cedar Key resident Heath Davis, no relation to Jane Davis, transitioned from fishing to clam farming in the mid-1990s. He and his father, Mike Davis, own Cedar Key Seafarms, one of the state’s leading wholesale clam distributors. “Before, as fishermen, we would go out and place nets wherever we thought the fish were,” Heath Davis said. “But clamming is like farming. We lease a 2-acre, underwater plot from the state and harvest the product from our designated field.” The Florida Aquaculture Plan In November, the Florida Aquaculture Review Council, the official conduit between FDACS and farmers, published the latest revision of the Florida Aquaculture Plan, a detailed list of research and development priorities. Florida’s climate, infrastructure, streamlined regulations and positive business environment have positioned the state to become the national leader in aquaculture, but innovation is required to remain competitive, according to the document. It’s a message Heath Davis echoed. “Aquaculture farming is such a huge part of Florida’s economy,” he said. “It could hold some of the answers needed to sustain the growing number of people living on this peninsula.”
By Steven Lazarus Like many coastal regions, Florida’s Space Coast faces significant climate resilience challenges and risks. According to the National Oceanic and Atmospheric Administration (NOAA), Florida has over 8,000 miles of shoreline, more than any other state in the contiguous U.S. In addition, the 2020 census indicates that that there are 21 million Florida residents, 75-80% of which live in coastal counties. This makes our state particularly vulnerable to rising sea levels, which are directly responsible for a host of coastal impacts, such as saltwater intrusion, sunny-day (high-tide) flooding, worsening surge, etc. There is growing evidence that storms are becoming wetter as the atmosphere warms— increasing the threat associated with compound flooding, which involves the combined effects of storm surge, rainfall, tides and river flow. Inland flooding events are also increasing due to overdevelopment, heavy precipitation and aging and/or inadequate infrastructure. The economic ramifications of these problems are quite evident, as area residents are confronted with the rising costs of their homeowners and flood insurance policies. As the principal investigator on a recently funded Department of Energy grant, Space Coast ReSCUE (Resilience Solutions for Climate, Urbanization, and Environment), I am working with Argonne National Laboratory, Florida Tech colleagues, community organizations and local government to improve our climate resilience in East Central Florida. It is remarkable that, despite its importance for risk management, urban planning and evaluating the environmental impacts of runoff, official data regarding local flooding is virtually nonexistent! Working alongside a local nonprofit, we have installed 10 automated weather stations and manual rain gauges in what was previously a “data desert” east of the Florida Tech campus: one at Stone Magnet Middle School and others at local homes. “We think that a ‘best methods’ approach is proactive, informed and cost-effective. The foundation of good decision-making, assessment and planning is built on data (model and observations), which are critical to adequately addressing the impact of climate on our communities.” – steven lazarus, meteorology professor, ocean engineering and marine sciences Data from these stations are available, in real-time, from two national networks: CoCoRaHS and Weather Underground. The citizen science initiative involving the rain gauge measurements is designed to document flooding in a neighborhood with limited resources. In addition to helping residents make informed choices, these data will also provide a means by which we can evaluate our flood models that will be used to create highly detailed flood maps of the neighborhood. We are working with two historic extreme-precipitation events: Hurricane Irma (2017) and Tropical Storm Fay (2008)—both of which produced excessive flooding in the area. What might the local flooding look like, in the future, as storms become wetter? To find out, we plan to simulate these two storms in both present-day and future climate conditions. What will heat stress, a combination of temperature and humidity, feel like in the future? What impact will this have on energy consumption? The station data will also be used develop and test building energy-efficiency tools designed to help the community identify affordable ways to reduce energy consumption, as well as to produce high-precision urban heat island (heat stress) maps that account for the impact of individual buildings. The heat island and building energy modeling will be complemented by a drone equipped with an infrared camera, which will provide an observation baseline. We think that a “best methods” approach is proactive, informed and cost-effective. The foundation of good decision-making, assessment and planning is built on data (model and observations), which are critical to adequately addressing the impact of climate on our communities.
