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Vermont’s largest health insurer wants to offer a cheaper plan. Can it actually help Vermonters?
BlueCross BlueShield of Vermont is mired in a back-and-forth awaiting regulatory approval for its low-premium, high-deductible “Basic” plans.
U.S. Health and Human Services Secretary RFK Jr. to visit Fort Carson, Colorado
American taxpayers have spent $33 billion on sports stadiums. They got fewer seats—and higher prices
"No one has ever built a new stadium and made tickets cheaper. No one’s trying to.”
Patient Feedback Helps Shape Care at Munson Army Health Center
FORT LEAVENWORTH, Kansas -- Patients receiving care at Munson Army Health Center may be randomly selected to participate in the Joint Outpatient Experience Survey, commonly known as JOES, following their appointment.
Fermilab storage infrastructure enables AI-driven scientific and research discovery for DOE’s Genesis Mission
The U.S. Department of Energy’s Genesis Mission is building a new era of AI-driven scientific discovery — and it requires far more than powerful supercomputers to succeed. To support this national effort, Fermilab’s Fermi Data Platform is providing secure, large-scale data infrastructure needed to make advanced AI research possible across the American Science Cloud.
The Dish: Tarrant County restaurants serving up some whiskey business
Fans of smoky flavors can find whiskeys all over the county.
Chevron’s CFO on why finance chiefs are defining AI’s business value
Eimear Bonner, a former CTO, explains how the finance organization is using AI.
As OpenAI leans into enterprise business, Apple and Google set sights on the masses
OpenAI's aggressive push into the enterprise, where it competes with Anthropic, coincides with efforts by Apple and Google to bring advanced AI to consumers.
RGG Studio Head Talks Tupac's Controversial Stranger Than Heaven Inclusion
Masayoshi Yokoyama discusses his efforts to remain respectful to the legendary rapper's legacy.
Senior Dog With Dementia Makes a Valuable Contribution to Science of Aging
Ralph spent years bringing joy and comfort to the Rowe family, but his impact extended far beyond his home. After developing dementia in his later years, the senior dog became part of a research effor...
Bypass Siri AI Waitlist on macOS 27 Golden Gate Beta: Here's How
If you installed the macOS 27 Golden Gate developer beta and have signed up to the Siri AI waitlist but are still waiting to be accepted, there's a Terminal command workaround that enables the new virtual assistant on your Mac immediately. If you're still reading, since you're on the first macOS 27 developer beta, we're assuming you are running it on a test machine, and not on your primary Mac. We're also assuming you're comfortable with using the Terminal app.
Montana Named Top State to Start a Business
HELENA, Mont. – Governor Greg Gianforte today announced that Montana was ranked as the 12th best state to start a business in 2026.
‘A leader in health AI’: School of Medicine Dean talks integration of artificial intelligence and healthcare
At the annual State of the School Address on Wednesday, Dr. Mary Klotman overall took an optimistic tone, expressing excitement about the School of Medicine’s efforts to integrate AI throughout much of what they do. However, she also recognized the challenges AI presents for the medical field specifically.
House Dem lashes out at GOP efforts to probe foreign donations with stunning claim on motive
Rep. Terri Sewell claims the GOP probe into ActBlue and CEO Regina Wallace-Jones is part of a pattern of Trump DOJ harassment of Black women in power.
French Quarter businesses struggle during construction as city launches support efforts
Businesses in New Orleans' French Quarter are facing reduced foot traffic and revenue due to construction projects, prompting the city to implement initiatives to help them stay afloat.
Cubs Facing Troubling Development After Unfortunate News
The Chicago Cubs are facing a troubling development after unfortunate news.
Town of Paradise launches 'Businesses Summits' to support local businesses, boost economy
In an effort to bolster the local economy and support small businesses, the Town of Paradise, in collaboration with the Paradise Ridge Chamber of Commerce and o
More cuts could be coming at UVM Health amid statewide cost-cutting push
Sweeping job cuts at UVM Health announced Tuesday will likely not be the last in an effort to bring down the cost of Vermonters’ health care.
Federal health care cuts threaten Michigan hospitals. It’s time for Medicare for All.
Community hospitals are there for us at our most vulnerable moments. They’re where our children are born. We rush our loved ones to the local ER, post-stroke, when every second counts. Unfortunately, the federal government has left communities across Michigan at risk of losing that lifesaving care. That’s why working people are joining forces to call for change, and to build a society that puts patients before profits, with Medicare for All.
OpenAI suspects China-linked campaign tried to sway data center debate
OpenAI said the effort "sought to exploit and amplify existing public concerns about energy prices and local impacts of data center development."
From The Sports Desk: Carolina claims Game 4 in back-and-forth Stanley Cup Final
Jordan Staal scored the go-ahead goal, as the Hurricanes beat the Vegas Golden Knights 5-3 and even the series 2-2. Plus, today’s World Cup spotlight is Uruguay’s Federico Valverde.
Acknowledgments
This report was made possible by The Pew Charitable Trusts. Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary funder. This report is a collaborative effort based on the input and analysis of the following individuals: Research team Jocelyn Kiley, Director, Political ResearchSteven Shepard, Associate Director, Political ResearchHannah Hartig, Senior ResearcherBaxter […]
Unconventional Right
Unconventional Right are a Republican-oriented group with conservative values in many areas – but not across the board. Largely supportive of restrictions on immigration and concerned about its impact on the country, they are also skeptical of efforts to promote diversity in workplaces and schools. Unconventional Right are one of nine groups in Pew Research […]
NBA Finals: MSG Sports calls NYC mayor Zohran Mamdani, police commissioner Jessica Tisch 'party poopers' amidst continued security efforts ahead of Game 4
Arlington council renames entertainment district in bid to add the area to statewide network
The council voted unanimously to rename the district. It now awaits state approval.
NACCHO Highlights Local Health Departments' Preparedness Efforts Ahead of the FIFA World Cup 2026
/PRNewswire/ -- The National Association of County and City Health Officials (NACCHO), the voice of the country's over 3,300 local health departments, commends...
Quit job at Fortune 500 company to care for mom, now can't pay bills
Kathy Mullen, 64, left her job at a Fortune 500 company to care for her mother with Alzheimer's, negatively impacting her health and finances.
LinkedIn launches new effort in push to capture business advertisers
LinkedIn is aiming to burnish its position as a go-to platform for business advertisers with a new team of marketing experts that it expects to generate an annualized run rate of $100 million next fiscal year, a source familiar with the matter said.
Fire Emblem: Fortune's Weave's world map is partially inspired by medieval Spain, even if the Dagdan Empire setting looks much older
The next Fire Emblem is mixing Greek and Roman influences with names borrowed from medieval Spain, but the map is completely different.
Britain Politics
Andy Burnham gives a thumbs up to supporters during a campaign visit to Ashton-in-Makerfield before the forthcoming by-election, in Manchester, England, Tuesday, June 9, 2026. CORRECTION: corrects family name to
New OMB rule could break science in the United States
The drug that saved your mother. The treatment your doctor recommended. The clinical trial that bought someone you love more time. None of it was inevitable. It required a system built to operate outside politics and sustained over decades, because science doesn’t operate on the timeline of a politician. That system is now under direct threat. The Office of Management and Budget (OMB) has proposed a new rule to regulate all federal grants, not just science, but housing, education, defense, NASA and everything in between, that would fundamentally change how research is conducted in the United States. There have been a lot of fires in the past 16 months, and if everything is an emergency, nothing is an emergency. But this is a very big deal. These rules would strip away the independence that has kept science from becoming a political tool. The good news is there’s still something we can all do. How the grant system was designed to work When I was a new faculty member, I was full of millions of ideas, so I sat down and wrote an NIH proposal. I worked on it for months and thought it was so good. Then I sent it to my mentor. It came back covered in comments. Places where my reasoning wasn’t as airtight as I’d thought, methods that could be stronger, gaps in my thinking that I had been too close to the work to see. It stung, as honest feedback always does, but peer review almost always makes the work better. In fact, it’s the backbone of how American science has functioned for generations. At NIH, submitted proposals go to a panel of scientists who have experience in the field. These are the people who can read research methods and spot their weaknesses, who understand when an experiment is designed well and when it isn’t. Applications are scored rigorously, and often only the top 3-20% of proposals receive funding. The people making funding decisions are required to justify them based on these reviews. To be clear: this is not a perfect system, and good science still goes unfunded more often than any of us would like due to limited resources. There is also criticism that peer review may undervalue bold ideas that are risky but could have high payoffs. But the peer review system is nonetheless a meaningful part of the grant selection process. While thoughtful and careful changes could improve the system, the changes being proposed by OMB will not make things better. The rule that could change everything Through this OMB proposal, the system that helps decide what gets funded is being dismantled. There are many troubling elements buried in this proposal, but three provisions stand out in particular. Each would be damaging alone. Together, they would change what kind of science gets done in America, and who it serves. 1. Political appointees would decide which science gets funded, and peer review would be explicitly sidelined or ignored. The guidelines your doctor follows, the standards that determine what’s in your air and water, the drugs that get approved for your family: all of it starts with a funding decision. Right now, that decision is made by scientists who can evaluate whether the work is actually sound and whether it could move the needle forward. Under this proposal, funding decisions could be made by political appointees. The careful, expertise-driven review process that shapes grant funding would be effectively sidelined. That means that a poorly designed study could get funded simply because someone in a political office liked the sound of it, while rigorous, important work doesn’t get funded because it no longer aligns with the administration’s priorities. In other words, critical work that benefits all of us could now be missed just because it has become politically inconvenient. 2. Grants could be canceled at any point, without warning, in the middle of ongoing work. Say your tax dollars have been paying for a cancer study for two years. The grant was awarded for five years, so the team is mid-experiment. There are three additional years’ worth of answers that could change how the disease is treated for hundreds of thousands of people. With this new rule, the federal government could cancel the remaining funding tomorrow, walk away from the commitment it made with your money, and have no legal obligation to finish what it started. This is a huge waste of money. There are rarely other sources of funding for this work, which means the team, the graduate students, postdocs, and research staff who have dedicated years of their careers to this project could lose their jobs. Patients who have contributed their time to studies may not see it turn into useful learnings for others. Every hour of work already completed could result in nothing useful. Science can take decades to get to tangible outcomes. It needs a stable funding system to flourish. 3. Researchers would have a harder time communicating their findings without pre-approval from the federal government. There is a saying from Sir Mark Walport: “Science isn’t finished until it’s communicated.” Science is no use to anyone if it is kept locked away in the labs that produced the data. The proposed rule could make communicating research findings harder in a number of ways: Make it harder for scientists to widely share their findings in scientific journals. Publication costs, including journal fees that allow for broad public access, could not be paid for by federal funds which is often how scientists pay these costs. Restrict researchers from engaging publicly about how their findings should inform policy or public health guidelines. This would restrict scientists from doing the work that transforms years of lab work into decisions that actually affect people’s lives. Make it harder for scientists to attend conferences. Conferences would now need to be approved by the federal agency at the time of grant award. This disadvantages conferences or publications that are not politically aligned. Conferences are a key way in which scientists learn about work happening in their field so they can collaborate and build on each other’s findings. What good is science with a muzzle? The long-term impact These changes could (and hopefully would) be reversed under the next administration. But by then, damage has been done. Once projects are halted or denied funding by political appointees, people leave their science careers for other paths or even leave the country to do their amazing science elsewhere. You cannot pause a scientific study the way you pause a subscription you decided isn’t useful anymore. You cannot freeze a research team that depends on salaries to feed their families, causing a scramble for replacement funding that, in most cases, simply does not exist. When the money stops, everything stops, and all the work in progress and its potential are lost. Despite all of the language about reducing waste, fraud, and abuse, this new proposed rule increases the administrative burden tremendously. Every researcher watching this unfold will make a rational decision: don’t start anything that will take a decade to finish. This includes not building a team around funding that could vanish, or asking the big questions that need patience and stability to answer. The most consequential science, the kind that produces the treatments and the breakthroughs that reach your doctor’s office twenty years from now, is exactly the science that would be abandoned first. This is still a proposal, so we can all do something Some worry this rule is already a done deal. But by law, OMB is required to open a public comment period. Those comments matter because they inform members of Congress, they can be used in litigation, and they create a public record. So here’s what you can do: Submit a public comment. The public comment period on this proposed change is open until July 13. Anyone can submit a comment, and OMB is required to respond to substantial ones. Each comment must be different to count as distinct; identical comments will be counted only once. Comment as an individual, not on behalf of your organization. Here’s a full resource to help you, with useful examples, but in general: Share a story about how science or federal funding has benefitted you or is involved in your work. Are you or someone you loved a cancer survivor? Do you know someone with Alzheimer’s? Have you received NIH/NSF or other federal funding? All of these can be stories you use to highlight why you care. Explain why you’re worried about these proposed changes. You can use the wording found here or in other resources to help you. Ask them to withdraw this proposed rule. Contact your elected representatives. Congress allocates money to federal agencies to spend, and it has oversight of how that process works. You can let your representatives know this proposed change concerns you and ask them to intervene. There are levers they can push that can help at this moment. Let others know why federal funding matters. This isn’t just about science, but ALL federal grants, including for education systems, defense projects, and more. The process, including the importance of federal funding, is invisible to many. We can all make it more visible by sharing how science benefits us and why we value it. You can also share this article, or any of the resources linked here, to help spread awareness! Bottom line We are quickly losing ground in scientific research in the U.S. More changes, like the proposed rule by OMB, would decimate our ability to conduct research here, leaving us all worse off: fewer treatments for pancreatic cancer, less research on pollution impacts, fewer answers for patients with rare disease, and more unaddressed health needs. The impact will be very real for all of us, regardless of where we stand politically. Using our voices for science is more important than ever. Love, LM Big thanks to Dr. Megan Ranney for reading this over and providing brilliant insights, as always. Dr. Liz Marnik, PhD, is Executive Director of The Evidence Collective at YLE and a science communicator and immunologist working at the intersection of public trust, science, and public health. You can find her on Substack, LinkedIn, Instagram and Threads. Your Local Epidemiologist (YLE) comprises a team of experts, ranging from physicians to immunologists to epidemiologists to nutritionists, working together with one goal: to “Translate” ever-evolving public health science so that people are well-equipped to make evidence-based decisions. The YLE suite of newsletters reaches over 475,000 people across more than 132 countries. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Subscribe
AWS executive asked staff to recruit laid off Meta employees
AWS Chief Marketing Officer Julia White discussed efforts to fill open roles and curb attrition, according to a recording of the meeting.
Health care’s AI dividend is real. The fight now is over who reaps the gains
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Kean misses narrow vote giving Trump immigration effort $70 billion NJ Spotlight News
'These gulags shouldn't exist in our country,' says Conaway, while House speaker praises GOP for doing 'responsible thing'
Resolution honoring LGBTQ health center in Arlington rejected by Tarrant commissioners
County commissioners voted along party lines not to honor the HELP Center for LGBTQ+ Health.
New Iowa law first step in efforts to combat fraudulent businesses, Iowa secretary of state says
Iowa Secretary of State Paul Pate said he is working with organizations like the Better Business Bureau to help address fraud in the state.
Apple Updates App Store Guidelines With Stricter Rules for Low-Quality Apps
Apple updated its App Store Review Guidelines this week, adding stricter language around low-quality apps. The 4.3 Spam rule already barred overly simple apps in saturated categories, but Apple now includes language saying low-effort apps could be pulled from the App Store. Apps in oversaturated categories that are not updated, improved, or do not attract customers may be removed, according to Apple.
Bonita Springs greyhound track could become family-friendly entertainment center
Plans submitted by Oakes Farms, Inc. propose transforming the former Naples-Fort Myers Greyhound Track into a family-friendly venue with restaurants, pools, and playgrounds, generating excitement among local residents.
GM eyes new battery chemistry to grow AI data center, energy storage business
GM is expanding efforts to capitalize on the expected growth of energy storage and data centers and the development of next-generation sodium-ion batteries.
The science of seeing inside explosions
During the Manhattan Project, Los Alamos scientists needed a diagnostic tool. Like an x-ray confirming a broken leg bone, the researchers wanted to be able to see into the smoke cloud of detonation products. They needed to verify that the implosion remained symmetric to ensure an efficient detonation. Although it was a time when scientific breakthroughs came quickly, this challenge stumped them, and their initial efforts to use x-rays to visualize the event were limited.
Fire Emblem: Fortune's Weave boxart, screenshots
Following today’s Nintendo Direct, the official boxart has come in for Fire Emblem: Fortune’s Weave. We also have a new set of screenshots. Here’s an overview of the game: The Heroic Games are about to begin! A brand-new entry in the Fire Emblem series is coming to the Nintendo Switch 2 system. Discover an intertwining story of strength and steel...
Nintendo Confirms Fire Emblem: Fortune's Weave Switch 2 Release Date
Nintendo has shown off more of the upcoming Fire Emblem: Fortune's Weave, and finally given the game a release date.
Fire Emblem: Fortune's Weave gets Nintendo Switch 2 release date, Dagdan Collection revealed
After it was announced close to a year ago, Fire Emblem: Fortune’s Weave received its release date on Nintendo Switch 2 today. The game will be available on September 17, 2026. A special edition has also been revealed, pictured above. We originally found out about Fire Emblem: Fortune’s Weave during a Nintendo Direct last September. Nintendo only committed to a...
Meet the Walmart exec who runs a $96 billion business that would sit between Tesla and Target on the Fortune 500
Sam's Club CEO Latriece Watkins runs a $96 billion business within Walmart.
SoHo Business Alliance sues Tampa over flood relief project records
A coalition of South Howard Avenue businesses is taking the City of Tampa to court in an effort to obtain records tied to the controversial South Howard Flood Relief Project before city leaders decide...
SoHo Business Alliance sues Tampa over flood relief project records
A coalition of South Howard Avenue businesses is taking the City of Tampa to court in an effort to obtain records tied to the controversial South Howard Flood Relief Project before city leaders decide whether to move the project into construction.
Reward or threat? Omnisend offers quarterly raises for employees who use AI to drive business impact—and says those who don’t will get left behind
For Q1, the first quarter with the initiative in place, just over half of the company’s 246 employees qualified and received raises between 2% and 4% so far.
Corporate America Is No Meritocracy. Just Ask Women
Back in 2008, there were 12 women running Fortune 500 companies. Even though that equaled a measly 2.4%, it was still progress. A decade earlier, that number was 0.4%, or just two women (Jill Barad at Mattel Inc. and Marion Sandler at Golden West Financial Corp.).
Coca-Cola and Notre Dame bring poverty alleviation efforts to host cities during the FIFA World Cup 2026
When the FIFA World Cup 2026 games kick off this week, bringing global attention to cities across North America, communities from Boston and Miami to Toronto, Dallas and Los Angeles will come together for one of the world’s largest sporting events. In these same cities, the University of Notre Dame’s Urban Poverty and Business Initiative (UPBI), a program aimed at helping underrepresented populations create and grow independent businesses, is working with local partners to strengthen small business ecosystems throughout a total of 59 cities, including a strategic activation in 13 soccer host cities.
Charlie Crist grows fundraising haul to $1.6M, rolls out major vote-by-mail effort
The Crist campaign and its allied committee raised more than $330,000 from March 1 through May 31.
Fort Worth Chamber Opens Applications for 2026 Small Business of the Year Awards
The Fort Worth Chamber is now accepting applications for its 2026 Small Business of the Year Awards. Presented by Bank of Texas, these annual awa
BEACON: How Benchmarking Combats the Reproducibility Crisis in Modern Science
A new initiative called BEACON aims to advance scientific reproducibility by uniting siloed benchmarking efforts across biomedical research.
Trump Previews Fall Strategy With Baseless Claims of California Vote Fraud
The president is using the slow count of mail ballots in California to renew his effort to cast doubt on election outcomes he doesn’t like, despite a lack of evidence of any widespread fraud.
Apple plays catch-up at WWDC
Apple spent much of its WWDC keynote highlighting fixes, performance improvements, and long-requested features before unveiling its upgraded AI-powered Siri, signaling that the company wants users to see AI as just one part of a broader effort to improve its software.
We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
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Alan S King
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Several vehicles damaged as fire spreads to Tri-State business
Local 12 WKRC-TV is the local station for breaking news, weather forecasts, traffic alerts, community news, Cincinnati Bengals, Reds and FC Cincinnati sports updates, and CBS programming for the Cincinnati , Ohio area, including Avondale, Blue Ash, Bond Hill, Camp Washington, Cheviot, Cleves, Colerain Township, Columbia-Tusculum, Corryville, Norwood, Delhi, East Price Hill, Golf Manor, Hyde Park, Lebanon, Loveland, Lower Price Hill, Madeira, Mariemont, Mount Adams, Mount Airy, Mount Healthy, Mount Lookout, Mount Washington, Oakley, Over-The-Rhine, Reading, Sedamsville, Sharonville, Springdale, St. Bernard, South Cumminsville, Symmes Township, Mason, Hamilton, Union Township, Walnut Hills, West Chester, Wyoming, West Price Hill, Westwood, Winton Hills, Alexandria, Bellevue, Covington, Crescent Springs, Erlanger, Fort Mitchell, Fort Thomas, Fort Wright, Florence, Hebron, Highland Heights, Newport, Southgate, Villa Hills, Walton, Aurora, Greendale, and Lawrenceburg.
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