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Taylor Bishop soars toward political career thanks to MSU internships
When Taylor Bishop (Class of 2026) came to Morehead State University from nearly three hours away in Greensburg, he found two things that put him on a clear path to college graduation and his future career. The first was his interest in history growing up, which expanded into political science after he started taking classes at MSU. "I really got interested in politics when I got to Morehead State," Bishop said. "It was like learning a language that I'd never known, and I fell in love with it instantly." The second key factor that shaped much of Bishop's college experience was taking his First-Year Seminar with instructor Rebecca Wright. Wright is also the coordinator of internships for MSU's Center for Career Development & Experiential Education and gave Bishop some important advice. For more information on gaining real-world experience like education abroad and internships at Morehead State University, contact the Center for Career Development & Experiential Education at careerservices@moreheadstate.edu or 606-783-2233. To learn more about MSU's Department of History, Philosophy, Politics, Global Studies and Legal Studies programs, contact hgpl@moreheadstate.edu or 606-783-2655. "You need to get internships wherever you can so it can get you wherever you want." Bishop took those words to heart and for much of his undergraduate career, he benefited from several meaningful experiences outside of the classroom that expanded both his knowledge and his confidence to succeed.
With Love: Blackburn Students, Entrepreneurs Support Selma Business Owners
At a professional development opportunity made possible by Blackburn Institute students, two Selma entrepreneurs gained both knowledge and friendship.
Scientists call for stewardship practices to be integrated into biodiversity conservation frameworks
A new article in the journal BioScience argues that the stewardship practices of Indigenous Peoples and other place-based knowledge holders have been systematically underrepresented in both conservation ...
Vaginal Health Products Are Booming. Do You Really Need Them?
Gaps in women’s health knowledge and care have created a business opportunity. What could go wrong?
Women in Science: Dr Lauren Snyder - TIB-Blog
The blog series “Women in Science” introduces women from the TIB who give insights into their careers and personal experiences in science. Dr Lauren Snyder studied Ecology and Conservation Biology at Boston University and earned her PhD in Ecology & Evolutionary Biology at Cornell University. Now, she is the co-founder of the TIB Knowledge Loom, an Open Science digital library. In this interview, she talks about why having clear goals is just as important as being open to the unexpected, and why the people you work with play such an important role.
Blanche’s Quest for Knowledge
From Tuesday, May 26, at 10:00 a.m. to Monday, June 1, 2026, at 8:00 p.m. local time. Koin Blanche for a research-focused adventure featuring Field Research tasks and Incense encounters. The following Pokémon will appear more frequently in the wild: Some Trainers might even encounter the following: The following Pokémon will be attracted to Incense: […]
Teaching with food boosts preschoolers' science knowledge and vocabulary
Using food in the classroom can help preschoolers learn more about science and increase their vocabulary skills, according to new research from North Carolina State University and East Carolina University. ...
New MatterChat Model Helps AI to ‘See’ the Language of Science
From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot in the physical sciences, where models depend on the high-resolution, three-dimensional data of the physical world, like the intricate lattice of atoms in a crystal. Delivering on the promise of using AI for science requires teaching these data-driven text models to seamlessly “talk to” physics-based models. Now, a new AI framework from Lawrence Berkeley National Laboratory (Berkeley Lab), called MatterChat, solves this problem by creating a specialized “bridge.” It connects the conversational power of a Large Language Model (LLM) with a physics-based AI that models “interatomic potentials”: the complex physical forces between atoms. The resulting system already significantly outperforms general-purpose AI tools like GPT-4 at predicting material properties, and the team hopes it can accelerate scientific discovery by serving as a robust research partner that provides grounded insights and generates step-by-step instructions for synthesizing novel materials. A paper describing this work was recently published in Nature Machine Intelligence. “Traditional simulations can provide the physical rigor required for materials science, yet their computational cost remains prohibitive for high-throughput screening. Conversely, while LLMs excel at rapid knowledge synthesis, they inherently lack the ‘structural vision’ to interpret materials directly from their underlying atomic coordinates,” said Yingheng Tang, a postdoctoral researcher in Berkeley Lab’s Applied Math and Computational Research Division (AMCR) and lead author on the paper. “MatterChat was built to solve this dilemma, empowering LLMs with a structural ‘vision’ that allows researchers to leverage their full potential for solving complex, real-world materials challenges.” Empowering language models to solve complex challenges in materials science To build MatterChat, the Berkeley Lab team drew inspiration from technologies like Vision Question Answering (VQA) and Text-to-Image (T2I) generation. In these tasks, AI must translate high-level text concepts into visual images, or vice versa. Doing so requires developers to build tools that “bridge” two fundamentally different forms of data. The researchers adapted this concept to the physical sciences. With MatterChat, they created a “bridge model” that successfully connects an LLM’s general knowledge with the deep understanding of the atomic-scale world encoded in scientific interatomic potentials. Until now, researchers using LLMs to solve materials problems usually had to feed them raw data files as if they were just strings of text. It’s like asking an AI to understand a complex 3D engine based only on a parts list: the LLM can read the names, but it can’t “see” how the atoms fit together in space. MatterChat solves this by training a specialized AI bridge model, pre-trained on millions of crystal structures and an LLM, to align the LLM’s representation of the world with the interatomic potential’s representation of the world. The bridge model can translate physical insights into a format the LLM can actually understand. By giving the LLM these “scientific eyes”— a scientific “inductive bias” in the terminology of AI — the Berkeley Lab team has transformed it into a robust research tool capable of providing grounded scientific insights into complex materials challenges, such as predicting thermal stability or analyzing electronic band gaps. “We think of atoms as living in a physical space, but from a machine learning perspective, they are just vectors living in some very non-trivially structured manifold in a high-dimensional Euclidean space; and, of course, the same is true for the sentences and paragraphs that we use to express our ideas about those atoms,” said co-author Michael Mahoney, Berkeley Lab’s Scientific Data Division (SDD) AI Initiative Research Lead. “The bridge model basically gets those two structures to ‘talk with’ each other.” As a proof-of-concept of this general approach, the team trained their bridge model on a dataset curated by pairing nearly 143,000 stable atomic structures from the Materials Project with their corresponding physical properties. This training data was automatically assembled using the Materials Project’s API and deliberately enriched with properties fundamental to microelectronics design — like formation energy and bandgap — allowing MatterChat to learn the complex patterns connecting a material’s atomic blueprint to its functional performance. To validate their model, the researchers benchmarked MatterChat against a suite of other AI systems, from general-purpose LLMs to other specialized scientific AI methods. The results show that MatterChat consistently outperformed its competitors across a range of tasks. The model was more accurate in classifying material types and demonstrated superior precision in predicting numerical properties. For example, it excelled at predicting a material’s bandgap, a property critical for designing new electronics from high-capacity energy storage to next-generation computer chips. “Our design is significantly more efficient because we don’t have to build a massive AI model from the ground up,” said co-author Zhi (Jackie) Yao, a research scientist in Berkeley Lab’s AMCR. “Instead, we take two powerful, pre-trained models — a structural encoder for materials physics and an open-source LLM — and use them off-the-shelf. The only component we actually train is the lightweight ‘bridge model’ that translates between them. It’s the difference between building an entire car factory and simply designing a smart adapter that connects a world-class engine to a world-class navigation system. This approach is not only computationally efficient, but also makes the system modular, so we can easily upgrade components or adapt the bridge for other scientific domains in the future.” Crucially, this modular design highlights exactly how institutions like Berkeley Lab and the Department of Energy are carving out a highly valuable niche in the booming AI landscape. Rather than competing with Silicon Valley tech giants to build ever-larger language models from scratch, the lab is focusing on the specialized connective tissue that makes commercial AI useful for hardcore science. Because the bridge model approach underlying MatterChat is forward-compatible, it is perfectly positioned to leverage these parallel tracks of innovation. As Mahoney pointed out, “We expect that industry will continue to develop improved LLMs, and we expect domain scientists and facilities will continue to generate new data. An important part of scientific machine learning is not simply to solve problems on today’s data, but instead to develop general methods that will be forward-compatible with orders of magnitude more data, whether from scientific domains or from LLMs.” According to Yao, the MatterChat project, which was initially developed and enhanced with funding from a Berkeley Lab Laboratory Directed Research & Development (LDRD) Program, will now expand its capabilities. In a collaboration with Fermilab, MatterChat is already contributing to a U.S. Department of Energy Genesis Mission project — called Accelerating eXtreme Environment Specs-to-Silicon (AXESS) — that aims to speed up the development of next-generation, high-speed, radiation-hardened detectors for challenging particle physics experiments by using advanced 3D integrated circuits (chiplets) and AI-driven data analysis. In addition to the LDRD support, the team also credits supercomputing resources at the National Energy Research Scientific Computing Center (NERSC), located at Berkeley Lab, with MatterChat’s success. “We are incredibly grateful to NERSC; this research simply would not have happened without access to the Perlmutter supercomputer through their AI for Science program,” said Tang. Wenbin Xu, a NERSC postdoctoral fellow at the time, was also a major co-author of the work, as was Benjamin Erichson, a research scientist in Berkeley Lab’s SDD, highlighting the benefits of AMCR-SDD collaboration on AI for science. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
‘Knowledge comes, but wisdom lingers’: how Alfred Tennyson drew science into his poetry
Robert P Crease reviews The Boundless Deep: Young Tennyson, Science and the Crisis of Belief by Richard Holmes
Montana tribes combine traditional knowledge and Western science in climate plan
The Confederated Salish and Kootenai Tribes are moving forward with their climate plan despite the loss of state support and federal funding.
Montana tribes combine traditional knowledge and Western science in climate plan
The Confederated Salish and Kootenai Tribes are moving forward with their climate plan despite the loss of state support and federal funding.
Montana tribes combine traditional knowledge and Western science in climate plan
The Confederated Salish and Kootenai Tribes are moving forward with their climate plan despite the loss of state support and federal funding.
The World’s Forests Won’t Be Saved by Science Alone: We Need Better Communication
Research tells us that we need sustainable forest practices. But how does this knowledge lead to action?
Test your pop culture: From Hollywood to the Heartland
Test your knowledge of entertainment with this quiz on celebrities, trends and headline-making moments. Featured this week: mystery collaborations, red carpet close calls, celebrity confrontations and...
Good Sports: Hanford HS football coach gets glimpse of NFL coaching world
Hanford High Football Head Coach Cannon Sanchez is back in the Valley with a fresh Tampa Bay tan and an immeasurable amount of football knowledge.
Test your pop culture: From Hollywood to the Heartland
Test your knowledge of entertainment with this quiz on celebrities, trends and headline-making moments. Featured this week: mystery collaborations, red carpet close calls, celebrity confrontations and a dream cave wedding.
Louisiana university focuses on wellness and nutrition, starting with its medical students
Wellness knowledge starts in medical school, a Louisiana university leader says. Here's how one Louisiana hospital system is examining nutrition training.
Notre Dame says jump. ACC asks how high. Inside college football's most dysfunctional relationship
The Fighting Irish can insult, blame and posture — safe in the knowledge the ACC will never push back.
This Week in Sports Trivia: May 14, 2026
How closely were you following the sports news this week? Find out and test your knowledge by taking The Athletic's weekly quiz.
Trump administration freezes new Medicare enrollments for hospice and home health agencies
The Trump administration is expanding its fraud-busting initiative in federal health programs. On Wednesday, it announced a nationwide six-month freeze on new Medicare enrollments by hospice and home health agencies. The Centers for Medicare and Medicaid Services says the moratorium will help prevent fraud and protect vulnerable patients. The initiative was spurred by Vice President JD Vance's anti-fraud task force. Several alleged fraud schemes have been prosecuted in the hospice and home health care categories, and states have acknowledged it's a legitimate concern. But some have pushed back on the administration’s aggressive tactics and raised concerns about punishing law-abiding providers that are trying to serve patients.
How to play 2026 Soccer Pick 'Em with FOX One: Your 101 guide for the FIFA World Cup
The biggest soccer tournament in the world starts on June 11, so let's get you ready to put your knowledge to the test.
Business Transformation Management Helps Lay the Foundation for the Autonomous Enterprise
Business Transformation Management solutions from SAP support the Autonomous Enterprise, bringing together insights and enterprise knowledge.
South Carolina Republicans defy Trump’s demands for redistricting
Republican leader acknowledges ‘likely consequences’ for resisting US president’s demands to redraw map
Trump honors Indiana at White House, jokes about Curt Cignetti: ‘Who is Curt?’
President renewed his criticism of college sports, but acknowledged that for Indiana, "it seems to be working for you."
Nintendo share value falls as president admits increased prices will "raise the barrier to purchase"
Nintendo shares have dropped after president Shuntaro Furukawa acknowledged that raising the prices on its hardware "wi…
How Flo Health’s Research is Bridging the Knowledge Gap in Women’s Health
Flo’s research efforts are shaped by this reality: focusing on areas where lived, day-to-day health experiences are underrepresented in clinical literature, but deeply consequential in practice.
Live Science crossword puzzle #42: First American to orbit Earth
Test your knowledge on all things science with our weekly, free crossword puzzle!
Learner spotlight: Vivian’s path to rights based mental health advocacy
For Vivian Anyango Aola, mental health is deeply personal. Growing up she witnessed people around her struggling with emotional distress without access to support, understanding or solutions. Those early experiences laid the foundations for her work today as a mental health advocate at St. Daniel Comboni mission in Nairobi, Kenya.“Mental health is about feelings – something we all experience every day,” Vivian explains. “Ensuring people are supported in those feelings is what drives my work.” Creating safe spaces and challenging stigmaIn her role, Vivian works closely with people living with mental health conditions and psychosocial, intellectual and cognitive disabilities. Through dialogue, listening and shared learning, she helps create safe spaces where people feel seen, heard and respected. However, stigma and discrimination remain significant barriers.“Witnessing stigma only strengthens my resolve to fight for inclusion, acceptance and equal treatment for all,” she says. Vivian enrolled in the WHO ‘QualityRights in Mental Health’ online, self-paced course available on the WHO Academy learning platform to strengthen her knowledge and advocacy skills. The six-module course provides the foundation for challenging stigma and discrimination and for promoting person-centred, rights-based approaches in mental health.“The course gave me a new perspective,” she says. “It showed me how to support people in ways that respect autonomy and promote recovery, rather than focusing only on treatment.”The importance of language and cultureSince its launch, more than 141 000 people have enrolled in the course globally, and it is now available in 17 languages on the learning platform – the highest number of languages of any WHO course. For Vivian, accessibility is key to transforming mental health systems. “Language is a bridge between professionals and communities,” she explains. “When mental health resources are available in local languages, they reduce misunderstanding, build trust and encourage people to seek help. It also empowers health workers to deliver care in ways that are culturally sensitive and relevant.”In a global evaluation of the course, which analysed data from over 3000 learners, attitudes toward people with mental health conditions improved by 22.78% overall after completing the course, with even greater shifts in low- and middle-income countries (29.18%) compared to high-income countries (20.58%)[1].“The course equips participants with the essential knowledge and skills to transform mental health into a more rights-based, inclusive and recovery-oriented system,” explains Vivian. “It reinforces that change is possible. When people understand rights, dignity and recovery, the entire system can begin to shift.”Mental Health, Brain Health and Substance Use[1] Breaking stigma, discrimination and promoting rights: global evaluation of the World Health Organization QualityRights e-training on mental health, recovery and community inclusion
AI may be making science faster but less original
While AI boosts speed and productivity, it may also reduce intellectual diversity and shift science toward machine-friendly questions.
Man Wearing Smart Glasses Secretly Records Woman, Demands Money to Delete Video From His Socials
A man who recorded a woman without her knowledge for a viral video said he would only remove the clip as a "paid service."
Business Succession Planning panel hopes to give small business owners knowledge on how to plan for retirement
Topics included discussing with family and partners on how to transfer the business, and to who.
Trump’s Attack on Science Escalates With Firing of Entire National Science Board
The impact of the loss of knowledge and research will be felt for decades — a legacy of Trump’s war on science.
Chief Justice laments perception of 'political' Supreme Court
Roberts seemed to acknowledge dimming public approval of the court, shown in recent polls, as conservative majority pushes law dramatically rightward.
Science diplomacy lessons from a North Korean volcano
Mount Paektu, a mythic, active volcano on the border between North Korea and China, is almost the epitome of a scientific challenge that crosses political lines. In 946 CE, it erupted in one of the five biggest volcanic events of the past 10,000 years, kicking up huge quantities of ash and sending destructive mud flows down river channels for hundreds of kilometres. Should this happen again, the entire region, including easternmost Russia, South Korea and even Japan could be hit. “It’s definitely got the potential to be big,” said James Hammond, a professor of geophysics at Birkbeck, University of London. An eruption on the scale of 946 would have “huge regional impact.” For the past 15 years, Hammond has helped lead a groundbreaking collaboration with North Korean scientists to study the volcano, navigating scientific sanctions, tough export controls on scientific equipment and a long, pandemic-enforced exodus from the country. Although he seems more at home on far-flung research expeditions – before speaking to Science|Business, Hammond was camping out on a Greenland ice sheet – he has also advised the European Commission on its changing science diplomacy strategy. His long experience with North Korea has made Hammond sceptical of blanket bans on science collaboration, no matter the country.This is a live question in Europe, where in the wake of Russia’s 2022 invasion of Ukraine, institutional ties with Russian universities were almost entirely severed, although some scientists fear this could undermine our understanding of climate change’s impact on the Arctic. Here, Hammond tells the story of the Mount Paektu mission and the policy lessons he takes from it. Ominous rumblingsThe genesis of Hammond’s collaboration came in 2002, when Mount Paektu began to rumble ominously. Earthquake activity picked up and the volcano began to emit unusual gases. North Korean scientists took notice. “People felt we need to know more about this volcano,” said Hammond. In 2011, North Korean vulcanologists put out a request for international expertise to help them learn more. At the time, Hammond and his collaborator, Clive Oppenheimer, were working on a vulcanology project in another sanctioned country, Eritrea, and so decided to answer the call. Within a month, they had flown into Pyongyang. “It was pretty incredible,” recalls Hammond (left). “We were made to feel like honoured guests, and invited to official celebrations.” The scientific opportunity was huge. Paektu is unusually positioned, a thousand kilometres from where tectonic plates rub against each other in the Pacific. “It was an incredibly interesting volcano, but not much research had been done, at least not in the international community,” he said. “There was so much we felt we could do. And we had these partners that were super keen to engage.”The mission received an unusual visitor in the form of volcano-obsessed filmmaker Werner Herzog, who accompanied Hammond and Oppenheimer while directing his 2016 film Into the Inferno about volcanos across the world. Four days into the trip, the German director delivered a long speech about reunification to his North Korean hosts, recalls Hammond. “He got to the heart of the Koreans and how they felt, and how they thought, in a way that I'm not sure I ever will,” he said. UN sanctionsHowever, Hammond realised he’d been “naïve” about how difficult it would be to collaborate with North Korea, which was sanctioned far more heavily than Eritrea. “We didn’t fully appreciate the all-encompassing nature of restrictions,” he said. In 2016, as tensions escalated over Pyongyang’s nuclear tests, a United Nations resolution banned all joint scientific work with North Korea. However, the UN sanctions did allow countries to request carve outs, and the UK successfully requested an exemption for Hammond’s work. Related articlesEU pushes for joint science diplomacy, but care needed to avoid gridlock, experts sayRussia severs its last ties with German scienceAnchor Greenlanders in Arctic climate research, experts tell EU ahead of policy updateExport controls have also delayed Hammond’s work. In one case, it took 18 months to get approval from the UK government to take seismometers, which measure earthquakes, to North Korea. “It was frustrating,” he said. “But they didn’t just say no.” However, one instrument, called an induction coil, used to measure how the earth conducts electricity, was blocked entirely because it can in theory be used to detect submarines. Karaoke bondingSince the collaboration started in 2011, Hammond has visited the country around 15 times, although the pandemic closed off North Korea for more than five years. A trip last November was Hammond’s first since the outbreak. Despite this lengthy interlude, Hammond has deep bonds in the country. The North Korean scientists Hammond works with are somewhat isolated, as they struggle to access the latest research papers and travel to international conferences. That said, they are “excellent geophysicists” and are “very well trained in the field,” he said. Over karaoke and chats about their families, “we’ve made friendships, for sure,” he said. The authorities have to sign-off things like the placement of seismometers, for example, but Hammond said these requests have been approved. “Everything that we've asked for within a scientific context has been delivered.”Scientific backchannels? These kind of personal links between scientists across political lines are one purported benefit of science diplomacy. During the Cold War, some historians argue, scientific contact between the US and Soviet Union laid a groundwork of trust for other cooperation, such as on arms control. Hammond agrees that backchannel contacts to North Korean geophysicists are hardly likely to defuse a military crisis on the Korean peninsula, but the simple fact of the scientific collaboration makes contacts between diplomats that little bit easier. “It creates opportunities to understand each other a little bit better,” he said. “When maybe you have those more difficult discussions as diplomats, it's coming from a slightly better place.” Cutting tiesDrawing lessons from the Mount Paektu mission for today’s links with Russian science isn’t simple. The analogy is far from exact, Hammond said, “because one is essentially a Cold War, versus a pretty hot war in the case of Russia.” But Hammond’s broader argument is that the challenges we face, such as climate change, pandemics, biodiversity loss, pollution and so on, have globalised in an unprecedented way, making blanket shutdowns in collaboration with any country unwise.He’s somewhat critical of the UN scientific sanctions imposed on North Korea in 2016, even though they did allow for exceptions. “I think a blanket halt to some of these things, when we face big global challenges [. . .] that’s quite a risky thing to do,” he said.Institutional endorsement?European academics are still by and large free to work individually with Russian counterparts. However, official, institutional partnerships have largely ended. Shortly following the full-scale invasion of Ukraine in 2022, Russian university rectors wrote a public letter endorsing the war, meaning European universities fear official collaboration could also be seen as a kind of endorsement. Hammond acknowledges there is a risk of legitimising regimes, and state-controlled universities, through scientific cooperation. “That’s the trade off you have to make,” he said. Strategic projectsWith Russia, instead of giving a green light to restart all Arctic science, a middle ground might be firing up a few carefully selected “strategic” projects, said Hammond. After all, European countries are still collaborating with Russia on the International Thermonuclear Experimental Reactor, an experimental nuclear fusion plant in the south of France. However, even if Europe did try to revive Arctic science with Russia, there’s no guarantee Russian scientists would play ball. A series of high-profile arrests of physicists in Russia accused of sharing their findings with the outside world has made collaboration fraught. Even before the invasion of 2022, “the Russian regime made it increasingly difficult, and this sort of discouraged people,” Dag Rune Olsen, rector of the Arctic University of Norway, told Science|Business last year.
This Week in Sports Trivia: May 7, 2026
How closely were you following the sports news this week? Find out and test your knowledge by taking The Athletic's weekly quiz.
Strengthening Knowledge of Wastewater Surveillance Ethics
Strengthen your knowledge of wastewater surveillance ethics, with firsthand insights on key challenges and considerations from state health agencies and partners.
Commerce chief Lutnick to face Epstein grilling in closed-door interview
Lutnick has acknowledged he visited Epstein’s island with his family in 2012 after earlier claiming he severed ties in 2005
Universities Can Bridge the Gap Between Climate Science and City Hall
Op-ed: Community-engaged partnerships between universities, governments and residents can turn academic knowledge into practical urban climate policy.
Vance Campaigns in Iowa as G.O.P. Fears Rise Ahead of Midterms
The vice president acknowledged economic headwinds, including rising energy and fertilizer costs. “We got a little — a little blip in the Middle East,” he said, referring to the war in Iran.
GOP Rep. Chuck Edwards’s office acknowledges Ethics Committee investigation
A spokesman for the North Carolina congressman said he welcomes a chance to refute allegations regarding his conduct toward female staffers.
US Adults Interested in, but Lack Knowledge About, Brain Health
US adults show strong interest in brain health, but very few report knowing a lot about ways to maintain a healthy brain.
Phil Jackson Comments on NBA Legend's Celtics Question
Legendary NBA coach Phil Jackson casually dropped basketball knowledge after a 5-time NBA champion asks about Boston Celtics' 'paralysis' in Game 7 loss to Philadelphia 76ers.
‘Water‑sowing’: When science and ancestral knowledge join forces to fight drought in the Venezuelan Andes
This ancestral practice combines reforestation, soil conservation, and the protection of frailejones — the tall, fuzzy Andean plants that harvest water — to capture fog and rain, recharge aquifers, and ensure the flow of rivers
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
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Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
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On 25 March 2026, WHO Regional Office for the South‑East Asia Region (SEARO) convened the first meeting of the SEAR Chapter of the Unity Studies Network Meeting in 2026 to take stock of progress and plan next steps for strengthening epidemic and pandemic preparedness across the Region. 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When combined with national and institutional resources, this support enables countries and sites to maintain continuity of activities at a core level and remain prepared to respond rapidly and effectively to future epidemics and pandemics.Regional and Global Updates: Opening the session, Dr Pushpa Ranjan Wijesinghe, Programme Area Manager, Pandemic and Epidemic Management (PEM) Unit, WHO Health Emergencies Programme, highlighted the progress made in operationalizing the Unity Studies Network across the Region and acknowledged the collaborative efforts of WHO at all three levels, together with country unity studies sites. He emphasized the availability of limited but catalytic funding through the Pandemic Influenza Preparedness (PIP) Partnership Contribution (PIP‑PC) workplan at SEARO to sustain network activities in 2026, while encouraging sites to leverage additional funding sources to expand implementation.Representing SEARO, Dr Ashok Basnet, consultant, Pandemic Influenza Preparedness reported that, at the regional level, the Unity Studies Network currently includes six sites across five countries: Bangladesh, India, Nepal, Sri Lanka, and Thailand. He noted that in 2025, catalytic funding supported protocol adaptation, training, and pilot implementation. In addition, a regional Unity Studies symposium held during the Global Public Health Summit in Sri Lanka strengthened and advocated collaboration between the Unity Studies site, national decision‑making forum, relevant technical units of the ministry of health, WHO and other partners.The symposium also highlighted the role of early investigations and studies as a key component of a multi‑source surveillance system needed at country level to generate a broad range of evidence. It underscored the critical role of country Unity Studies sites and similar research entities in generating evidence to support public health decision‑making during epidemics and pandemics.Participants of the WHO GISRS Unity Studies Sites Network- SEAR Chapter Meeting 2026 (Photo credit- PEM/WHE/SEARO). SEARO also updated participants on ongoing efforts to develop a regional Unity Studies webpage and to promote participation in global knowledge‑sharing platforms, including webinars and the WHO Community of Practice. Priorities for 2026 include supporting the implementation of Unity protocols, strengthening collaboration and experience sharing across sites, documenting and publishing findings, integrating Unity Studies activities as a component of multi-source national surveillance systems, and building workforce capacity.Dr Nickle Boddington of the Global Influenza Programme (GIP) at WHO Headquarters, which coordinates the Unity Studies Network globally, provided updates on global Unity Studies activities, noting that the network has expanded to 16 sites worldwide. New and updated protocols, including rapid clinical severity assessment tools and standardized data platforms, are being developed to support implementation. The global Community of Practice has also been launched to facilitate technical exchange, and continued support will be provided to sites for protocol adaptation, ethical approvals, and readiness for early investigation during outbreaks. Updates from Unity Studies sites in SEAR in 2025Unity Studies sites shared progress and experiences in implementing protocols across diverse country contexts. Sites initiated activities in 2025 using catalytic funding from SEARO, complemented by the mobilization of internal national resources. The Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh, reported the adoption and piloting of investigation protocols on non‑seasonal influenza and emerging respiratory diseases during recent avian influenza outbreaks, demonstrating a multi‑source funding approach involving government, WHO and One Health partners.The Hamdard Institute of Medical Sciences and Research (HIMSR), New Delhi, India, highlighted the piloting of household transmission investigation studies, the expansion of the national Unity Studies network, and the contribution of study findings to global evidence through published outputs. The All-India Institute of Medical Sciences (AIIMS), New Delhi, India, shared experiences from large‑scale seroprevalence studies conducted during the COVID‑19 pandemic, recent efforts to strengthen national Unity network sites through training activities, and plans to initiate multi‑centre studies on respiratory viruses.Similarly, Prince of Songkla University, Thailand, highlighted its experience in developing integrated surveillance and diagnostic protocols for multiple respiratory pathogens, enhancing readiness for targeted investigations of emerging threats. The University of Sri Jayewardenepura, Sri Lanka, reported ongoing engagement with the Ministry of Health and exploration of additional funding sources to initiate studies. Meanwhile, the National Public Health Laboratory, Nepal, provided updates on continued coordination with national stakeholders to initiate implementation, despite delays related to the country context.Across sites, shared experiences underscored the importance of protocol adaptation, multisectoral collaboration, and sustainable funding to operationalize Unity Studies and generate evidence for public health action.Discussions and Way ForwardThe meeting reinforced key priorities for 2026, including strengthening unity studies protocol implementation, enhancing collaboration, knowledge sharing, integrating research as a component of national multi-source surveillance systems, and ensuring that generated evidence informs public health decision‑making. Participants also emphasized the importance of documentation, visibility, and leveraging multiple funding sources, and agreed on the following action points.Unity Studies Sites and WHO Country Offices:Advance adoption and implementation of at least one Unity protocol, continuing activities initiated in 2025 with catalytic funding, supplemented with other sources of funding where feasible.Document site-specific experiences, outcomes, and lessons learned; participate in regional and global knowledge-sharing platforms including WHO webinars and the Community of Practice.Work closely with ministries of health to establish unified national platforms for translating generated evidence into national public health decision-making. WHO Country Offices may facilitate technical support and complementary, synergistic funding opportunities where feasible. WHO Regional OfficeCoordinate with WHO Country Offices to support implementation of core unity studies activities by network sites through catalytic funding and provide technical guidance and virtual engagement opportunities throughout 2026.Facilitate the participation of all Unity Studies sites in the regional meeting on Unity Studies implementation in October 2026, to be held back‑to‑back with the Annual SEAR Regional PIP‑PC Meeting; develop and host a SEAR Unity Studies website; and mobilize support from academic institutions within the SEAR Unity Studies Network to support the development of regional manuscripts that showcase Unity Studies activities to scientific audiences and promote knowledge‑sharing.Explore complementary funding opportunities and partnerships to sustain and expand network activities across the Region.WHO HeadquartersProvide global technical guidance, updated protocols, and toolkits to support the implementation of Unity Studies in SEAR.Facilitate engagement of SEAR sites in global webinars, the Community of Practice, and opportunities to showcase their work.Support joint publications, inclusion of SEAR experiences in global outputs, and identification of additional funding and collaborative opportunities to strengthen Unity Studies activities.
Test your pop culture: From Hollywood to the Heartland
Test your knowledge of entertainment with this quiz on celebrities, trends and headline-making moments. Featured this week: guess the celebrity behind the Instagram post and what couple has made it official.
Hospitals Help: Bronson Drives Change in Maternal and Infant Health
From prenatal care and labor and delivery to neonatal intensive care and postpartum follow-up, Bronson Healthcare plays a critical role in influencing health outcomes for mothers and babies across Southwest Michigan. In celebrating a historic reduction in Black infant mortality across Kalamazoo County, Bronson acknowledged that creating change requires shared…
New Chair of Quietly Powerful Multnomah County Health Board Ousted
Chambers said she did not think her removal was reasonable, though she acknowledged that the matter was still raw. She also acknowledged there is a bigger story here.
Climate Knowledge Linked to Student Stress
A new study from Quinnipiac University finds that greater awareness of climate change affects students’ mental health—but also drives them to rethink habits and career paths.
OpenAI launches AI model GPT-Rosalind for life sciences research
OpenAI on Thursday introduced an artificial intelligence model touting increased biology knowledge and scientific research capabilities, as the startup deepens its push into the life sciences field.
This Week in Sports Trivia: April 16, 2026
How closely were you following the sports news this week? Find out and test your knowledge by taking The Athletic's weekly quiz.
How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.
Just how fast is the future coming at us, and how worried should we be? Last week, Anthropic announced Claude Mythos, the latest in what has become the leading family of AI models. In a very short time, AI models from Anthropic and other companies have become shockingly powerful at coding. But Mythos stands out because it is not just able to write code that can hack into critical systems, like those that run financial companies, but also to analyze systems and find and string together vulnerabilities in them, allowing Mythos to evade even sophisticated defenses. Anthropic chose to release Mythos to only about 40 leading corporations, so they could analyze the model’s capabilities and prepare countermeasures, in an effort it calls Project Glasswing. The release of Mythos—and the prospect of similarly powerful AIs to follow—has caused tremors at the top levels of Washington and corporate America. Jared Kaplan, co-founder and chief science officer at Anthropic, is at the center of this breakthrough. We sat down with Kaplan so he could walk us through just how powerful Mythos is, what the implications are for issues like our personal privacy, and what comes next. This conversation has been edited for length and clarity. Sean Fischer: For the layman, how is Claude Mythos different—more powerful, more dangerous—from previous models released by Anthropic? Jared Kaplan: I think most people have experienced the fact that our computers get faster and faster over time and over many decades. There’s this very smooth trend where every 18 months, maybe, computer processing power doubles. I think AI is on a trend in which it’s improving maybe 10 times faster than that. A lot of the earliest work that I did in AI was around identifying this scaling trend in AI. Claude Mythos is the latest model from Anthropic, but it’s not different because it’s qualitatively different. It’s really just kind of the culmination of the trend of AI models getting smarter and smarter at all kinds of general capabilities, from reasoning to software engineering to scientific research to knowledge work. For us, it was the first model to demonstrate very elite-level cybersecurity capabilities. It wasn’t because we trained Claude Mythos to focus on cybersecurity, but it was because, as a byproduct of its general intelligence and its general ability with software, it’s particularly good at identifying vulnerabilities in software and how to exploit them.
Safe2Eat in 2026 – Science-backed guidance for all Europeans!
Now in its sixth year, Safe2Eat remains a flagship EU-wide initiative designed to make food safety science accessible and relevant to everyday life. By translating complex scientific knowledge into practical guidance, the campaign helps consumers better understand how food safety works and how it supports their health and wellbeing.Growing reach across Europe and neighbouring countriesSince its launch, Safe2Eat has steadily expanded its geographical scope. From an initial group of 9 participating countries, the campaign reaches 23 countries across Europe and beyond in 2026. This year’s edition...
Indigenous Leadership for Health: Virtual Preparatory Webinar to UNPFII 2026
English - French - Portuguese - Spanish - Russian Indigenous Peoples have the right to the highest attainable standard of physical and mental health. WHO invites you to join Indigenous Leadership for Health, a virtual preparatory webinar to the 25th Session of the UN Permanent Forum on Indigenous Issues (UNPFII 2026), to be held on Thursday, 16 April 2026, from 13:30 to 16:00 CEST, via Zoom. Interpretation will be available in English, French, Portuguese, Russian, and Spanish.This event brings together Indigenous leaders working on health to help shape the forthcoming WHO Global Plan of Action on the Health of Indigenous Peoples (GPoA). It is co-organized by WHO, the Government of Brazil, the Government of the Philippines, and the Johns Hopkins Center for Indigenous Health.The webinar will be divided into two parts, each with a corresponding objective:Part I – Contents of the draft Global Plan of Action. Part I's objective is to provide an update on the process for development of the Global Plan of Action on the Health of Indigenous Peoples, to share important lessons learnt from previous work and inputs received thus far, and to invite participants to send written inputs to the Plan. The linkages to the health topics to be discussed at the forthcoming UNPFII will also be highlighted.Part II – Panel on Indigenous Leadership for Health. Part II's objective is to highlight Indigenous leadership, knowledge systems, and community-driven approaches that contribute to improving the health and well-being of Indigenous Peoples, through the sharing of select country and regional examples.Registration is free and open to all. Register hereWe encourage all Indigenous organizations, communities, partners, and individuals to join us and contribute to this important global process.
Test your knowledge of local history on The Quest
The Quest is a unique game combining elements of a reality TV show and a traditional scavenger hunt, aimed at educating participants about the interesting facts surrounding Linn County's and Cedar Rapids' history.
Gov. DeSantis says Legislature should drive redistricting, acknowledges potential delays in mapmaking
'You've got to get it done probably within the next couple of weeks.'
Entertainment Tuesday: Test your music history knowledge
Test your music history knowledge this Tuesday!
Bethel conference highlights how ‘better science occurs’ with local knowledge at the table
Researchers and local experts gathered in Bethel in early April to share and compare environmental knowledge at the Western Alaska Interdisciplinary Science Conference, particularly across issues facing the Yukon-Kuwkoksim Delta.
Health Sciences Teams Show Off Their Knowledge at Game Night
Eating too much protein can stiffen vessels.
Health Sciences Teams Show Off Their Knowledge at Game Night
Eating too much protein can stiffen vessels.
Exclusive: Manulife Investment Management eyes Cellnex Swiss business, sources say
Spain's Cellnex is in talks to sell its stake in its Swiss unit to Toronto-listed Manulife Financial Corporation's investment management unit, according to two sources with knowledge of the situation.
Viktor Orbán’s defeat ‘a defining moment’ in Europe. What comes next?
Orbán acknowledged Sunday that he was too far behind to stage a comeback against Péter Magyar, Hungary’s new prime minister.
Samsung to fix Adaptive Clock glitch in One UI 8.5 update
Adaptive Clock has a glitch on One UI 8.5 devices, and Samsung is working on a fix. The problem has been acknowledged by a community moderator, who promised the addressal with the next Beta software update. It’s already a big day for Samsung users, thanks to One UI 8.5 rollouts. Whether it’s new Beta releases […]
BGHS students earn multiple honors at science competitions - Sent-trib
Bowling Green High School students demonstrated their scientific knowledge, teamwork, and problem-solving skills at two regional science competitions held on March 14, earning multiple top finishes and one student advancing to the state level.
Seniors: Dennis Ouellette, 80
Ontario Orchards owner not slowing down as he grows his farm market By Stefan Yablonski The seeds for Dennis Ouellette’s career path were sown when he was 6 years old — and he isn’t slowing down. “Since age 6, I grew up an agriculturalist. That is 72 years. Started out with a 37-acre farm when I bought it from my parents and built it up to almost 300 acres. Brought it back down to around 200 acres now,” he said. The location of his business was just a barn, a horse barn, he said. “In 1967, it officially became Ontario Orchards Farm Market. My wife [June] and I graduated [high school] in 1964 and three years later we became Ontario Orchards. We have been here more than 60 years,” he explained. “It is the same location. We have expanded over the years as the customers mentioned different things; we have expanded to bring in different products. “What keeps me going is I totally enjoy what I am doing. I enjoy the people that I work with. The customers are wonderful. Mostly, more important than anything, is my family — my wife, my daughters, grandchildren, son-in-law — we are still very much a family business I’m not going to retire just yet.” He also enjoys the changing seasons. “Ontario Orchards is a four-season business. There is always something new; more energy, more interest. Not only for the business but for my staff, the people that work here. Things keep changing, changing. We are always looking forward to something new and exciting,” he said. They work with quite a number of local farmers within the area and throughout the state, throughout the country and from around the world.” “We do have things from different countries around the world. But specifically, we are very excited about the local. We have an over 200-acre farm. We sell just about everything we raise on that farm right here at the farm market. For example, we press cider year-round. We make baked goods every day, year-round. We sell our apples 12 months a year.” “Today, there are so many products in Ontario Orchards that we never would have thought of in 1967,” he continued. “I attribute a lot of that to my daughters. I like the young blood and new energy. That is very crucial to a business, it keeps it vibrant.” What’s his favorite part of the job? “I don’t have a favorite part. I enjoy it all. I have a lot of intertest in other things,” he said. “I have staff that knows so much. I can go to the staff and say, ‘I don’t know what this is, you tell me what this is.’ They are so knowledgeable. It is impossible for one person to know everything in this place. In the summer, staff is about 60; in the winter about 20, 25.” He added that he plans on being around for several more years.