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Holiday Phones, Real Kids: “Don’t Give a 10-Year-Old a 24/7 Device Without a Plan”
Smartphones and tablets are among the hottest holiday gifts for tweens and teens. They’re also one of the biggest sources of parental anxiety. “We’re giving 9, 10, 11-year-olds a pocket device with the power to nuke their sleep, social life and self-esteem — and we’re doing it with almost no training,” says Eli Singer, founder and CEO of Offline.now. “The question isn’t ‘Should kids have phones?’ It’s ‘What’s the plan for this incredibly powerful tool?’” Singer, a coach and parent who lives with ADHD himself, takes a non-judgmental, shame-free approach with families. He’s blunt about the risks — social comparison, late-night scrolling, drama at school that now comes home in their pocket — but equally blunt that guilt doesn’t help. “Parents are overwhelmed and scared. They’ve seen the headlines linking social media to anxiety and depression, and they feel like they’re already behind,” he says. “My job isn’t to scare them; it’s to help them write the first draft of a family agreement they can actually live with.” Singer recommends three simple starting points over the holidays: Bedrooms are sacred. Phones charge overnight outside kids’ rooms and ideally outside parents’ rooms, too. Meals are for humans, not phones. A bowl or basket at the table becomes the visual reminder: we’re here together. Model what you ask. If parents scroll through dinner or answer work emails at fireworks, kids get the message long before any rule is written. Offline.now’s Digital Wellness Directory includes professionals who specialize in families, ADHD, and youth mental health; Singer positions Offline.now as the bridge between overwhelmed parents and the right expert help. Why now Late December is “first phone” season. January brings the real-world consequences: blown bedtimes, drama in group chats, school exhaustion. Singer can give reporters a nuanced, practical angle on holiday devices — beyond “phones are bad” vs. “phones are fine” — and concrete questions families can ask before they unwrap the box. Available for interviews Eli Singer - CEO of Offline.now; author of Offline.now: A Practical Guide to Healthy Digital Balance. I speak about practical behavior change, non-judgmental family agreements, and confidence-based starting points - and I can direct people to licensed professionals via the Offline.now Directory when needs go beyond coaching.
AU scientists advance understanding of Nobel-winning immunology research
The 2025 Nobel Prize in Physiology or Medicine recognized the discovery of regulatory T cells, which are immune cells that maintain tolerance and prevent autoimmunity. At Augusta University, scientists have built upon that foundational work, uncovering how these cells function, fail and evolve across diseases like cancer and atherosclerosis. Regulatory T cells, or Tregs, are essential for controlling immune responses and preventing the body from attacking its own tissues. Early discoveries by Shimon Sakaguchi, MD, PhD, who identified the CD25 marker and later the transcription factor FoxP3, revealed how Tregs suppress immune activation. Sakaguchi, a distinguished professor at Osaka University in Japan, shared the Nobel Prize with Mary E. Brunkow, PhD, Princeton University, and Fred Ramsdell, PhD, University of California, Los Angeles. Sakaguchi once shared lab space with Nicholas Gascoigne, PhD, now a professor at AU’s Immunology Center of Georgia, where he studies T-cell signaling and differentiation — a connection that ties the global history of Treg research to the university’s ongoing expertise. Gascoigne’s research continues to illuminate how Tregs differentiate and signal, critical steps in ensuring immune tolerance to self. “Drs. Sakaguchi, Brunkow and Ramsdell have made enormous contributions to our understanding of how immunological tolerance works, so this prize is very well deserved,” Gascoigne said. “I was happy I could help Drs. Shimon and Noriko Sakaguchi when they needed lab space back in the early ‘90s. They were wonderful to work with.” At Augusta University, David Munn, MD, co-director of the Pediatric Immunotherapy Program of the Medical College of Georgia at Augusta University, made seminal discoveries showing that Tregs are not always stable. Munn’s team demonstrated that these cells could lose their suppressive identity and become “exTregs,” adopting pro-inflammatory characteristics under certain conditions. Munn also uncovered an entirely distinct tolerance mechanism through indoleamine 2,3-dioxygenase, a pathway independent of FoxP3 that regulates immune balance through tryptophan metabolism. “In particular, the work of Shimon Sakaguchi and Fred Ramsdell was profoundly influential on our early work, as we were just starting out to explore how the immune system is regulated in pediatric cancers,” Munn said. “The work of these Nobel laureates helped transform the scientific understanding of how the immune system responds — or fails to respond — in the setting of tumors.” Catherine “Lynn” Hedrick, PhD, co-director of the Immunology Center of Georgia, further expanded this understanding by showing that Tregs can convert into follicular helper T cells, offering new insight into how immune regulation can shift toward antibody production in chronic inflammatory diseases such as atherosclerosis. “Understanding how regulatory T cells can shift identities helps explain why the immune system sometimes loses balance in chronic disease,” Hedrick said. “By tracing how Tregs convert into other helper cells, we’re uncovering new therapeutic targets to restore immune harmony in conditions like atherosclerosis.” Building on these advances, Klaus Ley, MD, co-director of IMMCG, and his team have investigated how exTregs contribute to cardiovascular inflammation, identifying them in human tissues and clarifying their role in atherosclerosis. His lab also recently discovered human exTregs, providing the first direct evidence of these cells in people. Two postdoctoral fellows in Ley’s lab, Qingkang Lyu, PhD, and Smriti Parashar, PhD, continue this work, exploring how regulatory and ex-regulatory T cells influence chronic disease progression. Additionally, Dimitrios Moskofidis, MD, PhD, a professor based in the Georgia Cancer Center, contributed key early insights into immune tolerance and memory, defining how effector T cells persist or are deleted following infection. “Together, these discoveries place Augusta University and the Immunology Center of Georgia at the forefront of modern immunology, connecting molecular mechanisms of tolerance to real-world diseases and therapies,” Ley said. To connect with any of the experts or researchers in this article - simply contact AU's External Communications Team mediarelations@augusta.edu to arrange an interview today.
New AI-powered tool helps students find creative solutions to complex math proofs
Math students may not blink at calculating probabilities, measuring the area beneath curves or evaluating matrices, yet they often find themselves at sea when first confronted with writing proofs. But a new AI-powered tool called HaLLMos — developed by a team led by Professor Vincent Vatter, Ph.D., in the University of Florida Department of Mathematics — now offers a lifeline. “Some students love proofs, but almost everyone struggles with them. The ones who love them just put in more work,” Vatter said. “It just kind of blows their minds that there’s no single correct answer — that there are many different ways to do this. It’s very different than just doing computational work.” Building the tool HaLLMos was developed by Vatter, as principal investigator, along with Sarah Sword, a mathematics education expert at the Education Development Center; Jay Pantone, an associate professor of mathematical and statistical sciences at Marquette University; and Ryota Matsuura, a professor of mathematics, statistics and computer science at St. Olaf College; with grant support from the National Science Foundation. The tool is freely available at hallmos.com. The team’s goal was to develop an AI tool powered by a large language model that would support student learning rather than short-circuiting it. HaLLMos provides immediate personalized feedback that guides students through the creative struggle that writing proofs requires, without solving the proofs for them. The tool’s name honors the late Paul Halmos, a renowned mathematician who argued that the mathematics field is a creative art, akin to how painters work. Students using HaLLMos can select from classic exercises — such as proving that, for all integers, if the square of the integer is even, the integer is even — or use “sandbox mode” to enter exercises from any course. Faculty can create exercises and share them with students. Vatter introduced HaLLMos to his students last spring in his “Reasoning and Proof in Mathematics” class, a core requirement for math majors that is often the first time students encounter proofs. “They could use this tool to try out their proofs before they brought them to me. We try to identify the error in a student’s proof and let them go fix it,” Vatter said. “It is difficult for faculty to devote enough time to working individually with students. Our goal is that this tool will provide the feedback in real time to students in the way we would do it if we were there with them as they construct a proof.” Helping professors and students excel “I think every math professor would love to give more feedback to students than we are able to,” Vatter said. “That’s one of the things that inspired this.” The next steps for Vatter and his colleagues include getting more pilot sites to use the tool and continuing to improve its responses. “We’d like it to be good at any kind of undergraduate mathematics proofs,” he said. Vatter also intends to explore moving HaLLMos to UF’s HiPerGator, the country's fastest university-owned supercomputer. “It’s our goal to have it remain publicly accessible,” Vatter said. This research was supported by a grant from the National Science Foundation Division of Undergraduate Education.
UC Irvine’s Daniele Piomelli provides expert view on federal reclassification of cannabis
As the White House moves to reclassify cannabis under federal law from a schedule I to a schedule III, questions remain about how the change could affect medical use, public health, research, and regulation. UC Irvine’s Daniele Piomelli, PhD, an internationally recognized cannabis researcher, is available to comment on the implications of the policy shift. Piomelli is a distinguished professor of anatomy and neurobiology at the University of California, Irvine, the Louise Turner Arnold Chair in the neurosciences, and director of the UCI Center for the Study of Cannabis. Piomelli has more than 30 years of experience studying cannabis, THC and the endocannabinoid system, with research spanning basic neuroscience, pharmacology and translational science. He is editor in chief of Cannabis and Cannabinoid Research and has testified before the U.S. Senate on cannabis-related research and policy. He can provide perspective on: • What federal reclassification may change for medical cannabis and scientific research • Differences between THC, CBD and other cannabinoids • Potential public health benefits and risks of cannabis legalization • Cannabis exposure and the developing brain, including adolescence • Regulatory and research challenges tied to cannabis policy Piomelli is available for interviews or background conversations. Email: piomelli@hs.uci.edu
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.
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
At Texas Christian University, Dr. Andrew Ledbetter, Chair of the Communication Studies Department, is turning his scholarly attention to one of pop culture’s biggest phenomena: Taylor Swift. His research uses data-driven analysis to reveal how Swift’s albums and songs build an interconnected narrative universe — what he calls her “Taylorverse.” Ledbetter ran lyrics across ten albums through semantic-network software to show how certain songs act as linchpins connecting themes of fame, womanhood, love and storytelling. “I was interested in interconnections among the song lyrics,” says Ledbetter. “The songs that are most central have a lot of overlap with other songs, might tend to be songs that are the most popular.” November 03 0 NBC News The work stands out not just for its pop-culture relevance, but for its academic innovation: combining computational text-analysis with narrative theory to unlock why certain tracks resonate more deeply than others. For journalists, cultural commentators or anyone covering the evolving intersection of music, identity and media, Dr. Ledbetter is a go-to expert. He can speak to how storytelling in music shapes audience engagement, how media fandom becomes scholarship, and why Swift’s songwriting continues to spark new research just as much as chart-topping hits. Andrew Ledbetter is available for interviews - Simply click on his icon now to arrange an interview today.
Australia’s Under-16 Social Media Ban Isn’t a Finish Line - It’s a Reality Check
Australia’s move to restrict social media accounts for kids under 16 has become a global lightning rod - and it’s forcing the right conversation: what do we do when a technology is too powerful for a developing brain? But here’s what I think journalists should focus on next: “A ban is a speed bump, not a seatbelt. It might slow kids down - but it won’t teach them how to drive their attention.” That’s the part that gets lost in the headlines. Because even if you can reduce access, you still have to deal with the why behind the behavior: boredom, social pressure, loneliness, stress, sleep debt. “The headlines make it sound like the problem is solved. But the real question is: what happens in the living room on day three?” Offline.now’s early data shows something important: most people genuinely want to change their screen habits, but many feel overwhelmed and don’t know where to start. That’s why we begin with a quick self-assessment and map people into four Types - Overwhelmed, Ready, Stuck, Unconcerned - so the advice matches the person. “We keep treating social media like a self-control test. It’s not. It’s a confidence problem - people don’t know where to start, so they start with shame.” What I’d tell policymakers considering similar bans 1. Pair friction with skills. “If the only plan is ‘block the app,’ you’re betting against the internet. Workarounds aren’t a bug - they’re the default.” 2. Don’t outsource responsibility entirely to families. “If policy turns parents into full-time bouncers and kids into part-time hackers, we’ve built a system that’s guaranteed to fail.” 3. Ask what gets protected, not just what gets restricted. “The real target isn’t ‘screen time.’ It’s the moments screens replace.” What parents need to know that headlines aren't telling them This is a process, not a switch. The best “first phone / first social” plans are adjustable. Modeling beats monitoring. The rules collapse if adults don’t follow them too. Have a handoff plan. If a child’s mood, sleep, school performance, or withdrawal is deteriorating, it may be bigger than habits. Why this is a late December / January story “The holidays are the perfect storm: more free time, more family friction, more devices, less sleep. January is when the bill comes due.” Journalist angles Bans vs. behavior change: what policy can’t solve The workarounds economy: age gates, bypass culture, privacy tension The four Types: why one-size fits all screen-time advice fails families New Year resets for families: simple, shame-free agreements that stick Available for interviews Eli Singer - CEO of Offline.now; author of Offline.now: A Practical Guide to Healthy Digital Balance. I speak about practical behavior change, non-judgmental family agreements, and confidence-based starting points - and I can direct people to licensed professionals via the Offline.now Directory when needs go beyond coaching.
Changing Phone Habits Isn’t a Willpower Problem. It’s a Confidence Problem.
Every January, millions of people swear they’ll “spend less time on my phone.” By February, they’re right back where they started, only now they feel worse about themselves. Eli Singer, founder and CEO of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance, thinks we’re telling the wrong story. “Most people don’t need another productivity hack or a harsher version of ‘just put your phone down,’” Singer says. “They need one tiny experience that proves, ‘I can actually change this.’ That’s confidence. Without it, willpower doesn’t stand a chance.” Drawing on early data from Offline.now’s self-assessment tool, Singer sees a pattern: people are highly motivated to change, but don’t believe they can stick to anything. His framework sorts users into four Types — Overwhelmed, Ready, Stuck and Unconcerned — based on motivation and confidence. Each Type gets different starting moves, all designed to be done in under 20 minutes. “Telling an overwhelmed parent or burned-out executive to do a 30-day social media fast is like asking someone who’s never run to start with a marathon,” he says. “We focus on micro-wins — one phone-free dinner, ten minutes of swapping doomscrolling for something you actually enjoy — because that’s what rebuilds trust in yourself.” Singer is a coach, not a therapist, but Offline.now’s Digital Wellness Directory connects people with licensed therapists, social workers, coaches and dietitians when deeper clinical support is needed. He positions Offline.now as the “front door” for people who know their relationship with screens isn’t working, but don’t know where to start. Why now January is peak “resolution season” and peak disappointment season. Singer can speak to why traditional “digital detox” narratives don’t work, how confidence and micro-steps change the story, and what a realistic New Year phone reset looks like for real people with jobs, kids and ADHD. Featured Expert Eli Singer – Founder of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance. Singer can speak to the platform’s behavioral data on digital overwhelm, the confidence gap, the Offline.now Matrix, and how 20-minute micro-steps outperform all-or-nothing digital detoxes in the real world. Expert interviews can be arranged through the Offline.now media team.
Study: Lessons learned from 20 years of snakebites
The best way to avoid getting bitten by a venomous snake is to not go looking for one in the first place. Like eating well and exercising to feel better, the avoidance approach is fully backed by science. A new study from University of Florida Health researchers analyzed 20 years of snakebites cases seen at UF Health Shands Hospital in Gainesville. “This is the first time we’ve evaluated two decades of venomous snakebites here,” said senior author and assistant professor of medicine Norman L. Beatty, M.D., FACP. Researchers analyzed 546 de-identified patient records from 2002 to 2022 and highlighted notable conclusions — for instance, that a third of the snakebites analyzed were preventable and caused by people intentionally engaging with wild snakes. “Typically, people’s experiences with getting bitten are due to an interaction that was inadvertent — they stumble upon a snake or reach for something without seeing one camouflaged,” Beatty said. “In this case, people were seeking them out. There were a few individuals who were bitten on more than one occasion.” Most (77.8%) of the snakebites occurred in adult men while they were handling wild snakes, and most of the bites were perpetrated by the diminutive pygmy rattlesnake and the cottonmouth. The latter is named for the white lining of its mouth, which it displays when threatened. “I was less surprised to see those species emerge as some of the most common ones people were bitten by, but the robust presence of other, less common species in the data — like the eastern coral snake, southern copperhead, timber rattlesnake and the eastern diamondback rattlesnake, was interesting,” Beatty said. The eastern diamondback rattlesnake is one of the most venomous snakes in North America. Most patients were bitten on their hands and fingers and around 10% of them attempted outdated self-treatments no longer recommended by doctors — like sucking out the venom. Initially, the study began as a medical student research project, thanks to a handful of medical students who worked with Beatty to review the cases. The intention was to dive deep into the circumstances of each encounter and learn more about the treatment given, as well as the outcomes. Fourth-year medical student River Grace, the paper’s first author, said the work struck a personal note. “My dad is a reptile biologist, so I’ve grown up around snakes my whole life,” Grace said. “He was bitten by a venomous snake many years ago and ended up hospitalized for multiple weeks, so it was interesting to keep that experience in mind while going over the data.” Grace noted that it typically took those bitten over an hour on average to travel from where the bite occurred to the hospital. “It seems like the reason for that was people not knowing exactly what to do once they’d been bitten, or underestimating the severity of the bite,” he said. “Some would just sit at home for hours.” Floridians share their home with a variety of scaly neighbors who don’t always welcome visitors — accidental or not. Ultimately, thanks to the timely care of providers, only three snake bites were fatal. However, antivenom is no panacea. Those who are lucky enough to receive it in time can still incur complications from the original snake bites, like tissue damage, or even a fatal allergic reaction to the antivenom itself. Consequently, researchers look toward improving the processes used to triage snake bites in the emergency room, ensuring that providers are equipped with the knowledge and the know-how to shorten time to treatment. “In the future, we think we’d love to get involved in enhancing provider education so everyone in the health care setting is confident in being able to identify and administer antivenom as quickly and safely as possible,” Grace said.
