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Meharry Medical College’s G.O.A.L.S. Celebrates Five Years of Inspiring Middle School Students Through Hands-On Science and Health Exploration
Nashville, Tenn. – For five years, Meharry Medical College has been planting seeds of possibility in young minds through G.O.A.L.S.—Go Out and Love Science—an immersive, hands-on experience designed to introduce middle school students to science, medicine, dentistry and health-related careers. Recently, nearly 200 sixth, seventh and eighth graders from Haynes Middle School came to Meharry’s
Coconino County Flood Control District creates hands-on experiences at 2026 Science in the Park
Coconino County Flood Control District participated in Science in the Park last weekend as part of the annual Flagstaff Festival of Science. The District educated attendees about the post-wildfire flo
Voice of America Cuts Hurt ‘U.S. National Interests,’ Internal Watchdog Says
The assessment by the State Department’s inspector general echoes concerns raised by critics of the move to shutter V.O.A., including some Republicans in Congress.
Leeds United extend official partnership with NOCO
Leeds United are delighted to announce an extension to the club’s official partnership with global leader in battery power solutions, NOCO.As part of the continued partnership, the NOCO brand will f...
🚨 Europe’s four major leagues call for FIFA reform
Another blow to Gianni Infantino.A major statement was jointly released by Europe’s four biggest leagues this Friday morning!The Premier League, Serie A, La Liga and the Bundesliga have indeed taken...
AI-enabled Pelago expands from SUD care to mental health, behavioral addictions
Pelago, a virtual substance use disorder (SUD) provider, has expanded to mental health and behavioral addiction care. | The new Pelago Behavioral Health Platform means co-occurring conditions can be assessed and treated in a single plan. Behavioral addiction programming includes gambling, gaming and binge eating
Health and Human Services seeks community input to inform programs and services
In April, Coconino County Health and Human Services (CCHHS) launched the Community Health Needs Assessment (CHNA) survey to help identify the health priorities, community needs, strengths and risk fac
AC Milan vs Benfica – Match preview and team news
AC Milan will kick off their European journey on Wednesday, facing Benfica in their first Europa League match of the season at the San Siro.AC Milan vs Benfica – Match preview and team newsDate: We...
🎥 Shock in Itaquera! Corinthians beaten by bottom side Chapecoense
Chapecoense had only two wins in the Brasileirão - against Santos and São Paulo.And a total of zero away victories.Then they went and stunned Corinthians right at the Neo Química Arena this Sunday ...
Unregulated food vendors can pose health threat
Coconino County Health and Human Services (CCHHS) Environmental Health is reminding community members that eating at an unlicensed food vendor location can pose a high risk of serious foodborne illnes
Robo.ai Inc. Provides Business Update and Announces Interim Report Release Schedule
Robo.ai Inc. (Nasdaq: AIIO) ("Robo.ai" or the "Company"), announced that it will report its unaudited financial statements for the six months ended June 30, 2026 on August 24, 2026, and provided an update on its business.
Robo.ai Inc. Provides Business Update and Announces Interim Report Release Schedule
/PRNewswire/ -- Robo.ai Inc. (Nasdaq: AIIO) ("Robo.ai" or the "Company"), today announced that it will report its unaudited financial statements for the six...
⚠️ Franclim Carvalho is no longer Botafogo manager
Franclim Carvalho could not withstand the rough spell in charge of Botafogo.According to ge, the 39-year-old Portuguese coach was fired this Tuesday (18).He leaves the club after the defeats to Cienci...
Around Madison in 30 days with artist Kyla Roades Farkas
Kyla Roades Farkas challenged herself to paint the sights of the city throughout August. She shares her work at @phthalo.art.
Vaccine Clinic at the Council on Aging (COA)
The Central MA Regional Health Dept. is partnering with Shaw's for a vaccine clinic on 9/9/26 from 9am-11:30am at the C.O.A., 98 Maple Avenue. Walk-in appointments available for Flu & COVID shots
Lincoln’s Table: Upscale sports bar G.O.A.T.’s Table welcomes wins, parties and family dinners
In another episode of Lincoln’s Table, 10/11’s Nathan Brennan stopped by the new G.O.A.T’s Table, an upscale sports bar near 84th and Van Dorn.
Health and Human Services announces ribbon cutting for Southern Region Office and Peaks Youth Center
Coconino County Health and Human Services (CCHHS) is excited to announce the opening of the newly remodeled Southern Region Office and official ribbon cutting ceremony of the CCHHS Peaks Youth Center
Charli XCX moves beyond ‘Brat’ and nine more things you must hear this week
Britain's Charli XCX starts a new sonic era with "Music, Fashion, Film," leading a new releases week that includes titles from Shania Twain, O.A.R. the Strokes, Cypress Hill, Brantley Gilbert and more, a posthumous set from the Mavericks' Raul Malo and a Tony Award-winning musical's cast album.
Reports: Diomande agrees PSG move from Leipzig
Ivory Coast forward Yan Diomande has decided to leave RB Leipzig for Paris Saint-Germain, according to media reports. Broadcasters Sky and RMC, as well as transfer specialist Fabrizio Romano, reported on Sunday that the 19-year-old has agreed a five-year contract with the French Champions League winners.
Is The G.O.A.T Debate Over?
Another Messi Masterclass leaves us wondering, is the GOAT debate settled for good? Master & Will debate it, and they launch an all-sport GOAT draft, All that being said about Lionel... could Kylian Mbappé catch the goal record as soon as this World Cup? We're joined by North-East football royalty, Argentine Julio Arca, and French football savant Erik Bielderman.
Scotland vs Brazil – Match preview and team news
Scotland and Brazil clash at the 2026 FIFA World Cup tonight with both teams aiming to secure progress to the knockout rounds.Scotland vs Brazil – Match preview and team newsDate: Wednesday 24th Ju...
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.
Bowers & Wilkins’ new flagship floorstander is yours for €50,000/pair
Yes, Bowers & Wilkins has announced the fifth-generation 800 Series Diamond.
Washington legend loves what David Blough said about Terry McLaurin
One Washington legend noticed what OC David Blough said about Terry McLaurin.
Cowboys news: Report says George Pickens loves it in Dallas
Your Sunday morning Cowboys news.
Revisiting the Blaze Alexander Trade Way Too Early
Introduction On February 5th, 2026 Arizona Diamondbacks GM Mike Hazen sent fan favorite infielder Blaze Alexander to the Baltimore Orioles in exchange for relief pitcher Kade Strowd, along with two minor league prospects, RHP Wellington Aracena and infielder Jose Mejia. It definitely hasn’t been long enough to evaluate this trade fairly, and won’t be for […]
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Dr. Katie Fetzer with The Wellness Studio talks through mental health in older adults.
A’s Drop Series Opener To Guardians 8-5
May has officially begun, and the A’s begin the month with a series-opening loss to the Cleveland Guardians, falling to their AL Central foes in a high-scoring 8-5 contest. The starting pitching wasn’t great, the bullpen allowed three runners to cross home plate, and while the offense provided five runs they left 10 on base […]
Health Professions and ZagsConnect
Gonzaga Health Professions Pathways and ZagsConnect
UT Health San Antonio physician identified as shooting victim
SAN ANTONIO - A doctor who was shot on Wednesday morning while walking his dog has been identified as 30-year-old Jonathan Desposorio.According to the San Anton
Image: Barcelona finalise next artist for El Clasico shirt
Barcelona are once again blending football with global music culture, and this time, the spotlight is on Olivia Rodrigo.According to Mundo Deportivo, the Catalan giants have already decided the featur...
Avi-Go Launches Avi-Go.AI, Building the Intelligence Layer for Business Aviation
Discover Avi-Go.AI, Avi-Go’s upcoming AI-native platform for smarter business aviation intelligence, analysis, and workflow automation. Avi-Go.AI represents a fundamental shift in how intelligence is accessed and applied in business aviation” — Colin, CEO & Founder of Avi-Go. SINGAPORE, April 2, 2026 /EINPresswire.com/ — In business aviation, competitive advantage is no longer defined only by access […]
Every Video Game Prank From April Fools' Day 2026
From a horse controller to dateable dirt, the video game industry likes to go wild on April Fools' Day.
Tireless Advocates for Health
Three Gonzaga alumni are strengthening Washington’s community health network, supporting 28 systems and 400+ clinics that provide essential care regardless of insurance, income or circumstance.
Judge Voids Mass Layoffs at Voice of America
The ruling, which said that Kari Lake’s appointment to oversee V.O.A.’s parent agency was invalid, was a major rejection of President Trump’s attempts to dismantle the government-funded news group.
The Trump phone sure looks a lot like this HTC handset
Has the Trump phone been here this whole time?
Shedeur Sanders Receives Major Praise From Fellow Browns' Rookie
Cleveland Browns standout linebacker Carson Schwesinger heaps praise on fellow rookie Sheduer Sanders
Genome Science Revolutionizes Wheat Stem Rust Battle
Key points Genome sequencing of several wheat stem rust strains shows some outbreaks arose independently, overturning assumptions and changing how
Broncos vs. Packers third quarter recap
Jordan Love and the Green Bay Packers were unstoppable in the first half completing 17/22 for 215 yards and and touchdown, though they only took a two-point lead into halftime. They would get the ball to start the second half too with the Denver Broncos looking to finally make a stop that wouldn’t end in […]
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Acupuncturist Cailey Halloran talks about her duties and responsibilities in the oncology department at Ochsner MD Anderson Cancer Center, Thursday, December 11, 2025, in Baton Rouge, La.