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President’s message: Progress and opportunity for science and medicine
his is an extraordinary moment in time for the biomedical sciences. Seven decades ago, the discovery of the structure of DNA sparked a revolution in understanding life. In the decades since, the knowledge of fundamental biology we have accumulated has led to innovative treatments for many difficult-to-treat diseases, and many more are now within reach....
How Sports Are a Local Growth Engine
A recent Wharton panel discussed the potential economic impact of Philadelphia hosting the FIFA World Cup and other major events.
Vernier Science Education Welcomes Seven New STEM Teachers to The Vernier Trendsetters Community
Vernier Science Education recently added seven new STEM teachers from high schools nationwide to the Vernier Trendsetters Community. This professional learning community, which now includes nearly 40 individuals, gives teachers the opportunity to grow their leadership and knowledge of modern, relevant STEM instruction as they connect with and learn from fellow teachers throughout the school year.
Ranking the 15 NFL quarterbacks who most need a Super Bowl win for their legacy
Ranking 15 quarterbacks that need to win the Super Bowl to define their legacy in the NFL.
AMD expects DDR5 prices to take around two years to return to normal
AMD expects DDR5 memory prices to recover slowly, with the market returning to normal levels in around two years.
From tennis to T-ball, the White House's South Lawn is no stranger to sports. But not like the UFC
WASHINGTON (AP) — Teddy Roosevelt boxed. Richard Nixon bowled.
Despite some thump, San Diego falls short in rubber match
FriarWatch: June 8 Edition
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.
Will Campbell: I'm 22 years old, so I'm a long way from where I'm going to be
Patriots left tackle Will Campbell had an up-and-down rookie season in 2025, and it ended on a down note when he struggled mightily in New England's Super Bowl loss.
New documentary made in SC will tell the story of a Super Bowl-winning team
A new documentary shot in the Upstate will tell the story of a Super Bowl-winning team and its on-field triumphs — as well as the often-untold stories of struggle, deep
Sports Scoreboard: The Galaxy's Long Game
The LA Galaxy is part of the origins of Major League Soccer and its inaugural season in 1996. About 60,000 fans filled the Rose Bowl for the brand-new
Sports Scoreboard: The Galaxy's Long Game
The LA Galaxy is part of the origins of Major League Soccer and its inaugural season in 1996. About 60,000 fans filled the Rose Bowl for the brand-new
Nithya Raman narrowly leads Spencer Pratt in race for second spot in Los Angeles mayoral race
Nithya Raman pulled ahead of former reality TV star Spencer Pratt in the race for the second spot in the November election for Los Angeles mayor after a vote update Sunday evening.
Ingredion is in advanced talks to acquire Tate & Lyle for $3.6B
Ingredion Inc. is in advanced talks to acquire Tate & Lyle Plc in a deal valued at £2.7 billion ($3.6 billion), people with knowledge of the matter said, as another famous brand prepares to leaves the London stock market.
DTLA residents and businesses say surge in graffiti is hurting city's image
With the World Cup, Super Bowl and Olympics approaching, some people who work and live in downtown Los Angeles say graffiti has become so widespread that they fear it's damaging the city's image as it prepares to host millions of visitors.
Broncos Join Rams, Seahawks On Fox Sports' List Of Super Bowl Frontrunners For 2026
Armed with a healthy Bo Nix and star receiver Jaylen Waddle, the Denver Broncos could very well be the team to beat in the AFC this season.
Manav Suthar's dream debut: First Indian in 25 years to ...
Manav Suthar made a dream debut for India, taking a wicket on the fourth ball of his Test career against Afghanistan. The young left-arm spinner became the eighth Indian to achieve this feat, joining an elite list of bowlers. His immediate impact justified the team's faith in his selection.
Is Jared Polis turning into Dick Lamm?
By Jon Caldara Dick Lamm was Colorado’s longest-serving governor, at 12 years in office (a close second goes to Roy Romer). And during those three terms, he slowly drifted to the right. Not because he became a Republican or even a conservative. He never did. He simply spent enough time governing to become less impressed […]
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: a red-hot new romance, runway-worthy bikini moments, candid Hollywood reflec...
Monster Hunter Wilds confirmed for Nintendo Switch 2
After it was heavily rumored for the platform, Monster Hunter Wilds has finally been confirmed for Nintendo Switch 2. A release date will be given later. Many fans thought that Capcom was tinkering with a port following a datamine. However, this is the first time a port has been officially acknowledged. Monster Hunter Wilds initially launched last year. Here’s an...
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: a red-hot new romance, runway-worthy bikini moments, candid Hollywood reflections and a smashed piano that stole the show.
Colin Cowherd Urges Pittsburgh Steelers To Make T.J. Watt Trade
If Fox Sports radio host Colin Cowherd had control over the Pittsburgh Steelers, his first move would be to part ways eight-time Pro Bowl linebacker T.J. Watt. Earlier this week, the Cleveland Browns officially hit the reset button by trading All-Pro defensive end Myles Garrett to the Los Angeles ...
Local health districts share firearm safety rips for National Gun Violence Awareness Day
In acknowledgement of National Gun Violence Awareness Day on June 5, the Richmond and Henrico Health Districts (RHHD) have shared several safety tips.
God Of War Laufey's Director Talks Fan Skepticism, New Ideas, And Phranque The Cube
The showstopper at PlayStation’s State of Play was a new entry in the God of War franchise. However, instead of introducing Kratos’s newest adventure, Santa Monica Studio revealed God of War Laufey, which, as indicated by the title, shifts its focus to Faye, a hero and warrior in her own right, to tell a tale...
How ASUS Is Bringing AI into Healthcare Workflows
Move from pilot to production with ASUS AI Hub and NVIDIA NemoClaw. Deploy scalable, secure on-premises enterprise Agentic AI with robust data governance and custom knowledge RAG workflows.
Joel Klatt replaces Kirk Herbstreit as color commentator in EA Sports College Football 27
It was recently reported that Kirk Herbstreit will not be in EA Sports’ College Football 27. Herbstreit served as the color commentator alongside play-by-play announcer Chris Fowler for the “Big Game” broadcast team in College Football 25 and 26, after EA Sports relaunched the popular video game franchise that was previously known as NCAA Football.…
Hidden supermassive black hole pairs may finally have a visible signal
Scientists have proposed a new method for finding tightly bound supermassive black hole pairs by searching for stars that flash repeatedly as their light is magnified by the black holes’ gravity. The timing and brightness of these bursts could provide a unique fingerprint of black holes slowly spiraling toward a future collision.
Santa Clara County businesses eye World Cup boost after Super Bowl brings in $195M
A massive wave of economic revenue poured into the Bay Area during Super Bowl week, signaling a major financial victory for local economies as the region prepares for its next giant sporting event.
Seahawks still considered frontrunners to win Super Bowl LXI
The Seahawks were named by Fox Sports as one of three teams that have the best chance to win the Super Bowl next season.
Madden 27's Tush Push tease highlights everything wrong with annually released sports games
Madden 27 tease reveals the Tush Push as a new feature, but is that really enough to justify spending $60 or $70 on this year's edition of the game?
Training TikTok creators in mental health communication improves audiences’ mental health knowledge, competencies | Harvard T.H. Chan School of Public Health
Providing training in mental health communication to social media content creators can help improve their audiences’ abilities to gather and understand mental health knowledge as well as boost their emotional support skills, according to a new study.
This Week in Sports Trivia: June 4, 2026
How closely were you following the sports news this week? Find out and test your knowledge by taking The Athletic's weekly quiz.
Myles Garrett shows ultimate respect to Commanders' Laremy Tunsil
Laremy Tunsil has performed well against Myles Garrett, something the new Rams star acknowledges.
Accel Entertainment expands Louisiana footprint with truckstop casino acquisition
Accel Entertainment has expanded its Louisiana operations through the acquisition of Rice Palace Truck Stop Casino in Crowley, adding a high-volume gaming locat
After 14 NFL seasons, Russell Wilson enters a sports TV role
Russell Wilson is heading to television after 14 seasons. The 10-time Pro Bowl quarterback announced Wednesday that he is joining CBS Sports.
Short-sighted: John Ternus behind Apple Vision project refocuses
Apple's head-mounted hardware plans are slowly being cut, reportedly by new CEO John Ternus himself, with Vision Air said to be killed off alongside Display glasses.
Ontario Science Centre Celebrates National Indigenous History Month with Free Family-Friendly Event June 6
The Ontario Science Centre is proud to honour National Indigenous History Month with a free, family-friendly, event Indigenous Celebration 2026. Developed in collaboration with Indigenous artists, knowledge keepers and organizations, the community-led event will take place on Saturday, June 6 from 9 a.m. to 4 p.m. at Evergreen Brick Works.
The Rabbit Hole of Everyday Questions with Emily Zhang
Emily Zhang has created dozens of YouTube videos, receiving over 300 million views on subjects from the physics of bowling to the invention of blue LED. This year she started Rabbit Hole, a channel that offers “extraordinary answers to everyday questions.” We spoke with Zhang — a 2025 winner of the National Academies’ Eric and Wendy Schmidt Awards for Excellence in Science Communications — about Rabbit Hole and her experiences with YouTube as a medium for science communication.
Elections to top science bodies test Croatia’s gender equality in research
Croatia’s track-record on gender equality in science has been both questioned and lauded in recent months, following both bad and good news on the topic. On the one hand, a senior awards committee was announced without a single woman researcher included. On the other, the national science academy welcomed its first cohort of fellows with more women than men.Members of the committee, which gives national awards recognising scientific achievement, are proposed by the ministry of science and endorsed by the parliament. The current line-up does include a woman, but she is culture minister Nina Obuljen Koržinek rather than a researcher. Even then, she didn’t make it into the photograph released to announce the appointments on April 16. “The image speaks a thousand words,” says Tanja Rudež, a science journalist for Jutarnji List newspaper. “I am surprised that none of these men, all well-known scientists, saw a problem with the fact that there was not a single successful female scientist on the committee,” she told Science|Business.Ivan Đikić, a prominent Croatian biochemist based at Goethe University Medical School, commented on LinkedIn that the news illustrated a “sad truth” about the state of science in Croatia.“It [. . .] reveals a system where women, despite contributing a substantial share of high-quality, internationally competitive science, are systematically excluded from the very processes that determine recognition and influence,” he wrote. Some 60% of researchers in Croatia are women, according to the Croatian Bureau of Statistics, and they perform well in international competitions. For example, of the 12 European Research Council (ERC) grants awarded to Croatian researchers, seven went to women.“So how is it possible that decision-making bodies are still dominated by men over 60, while not a single female ERC laureate is involved in the selection process?” asked Đikić. “This is not a marginal oversight; it is a structural failure.” The ministry of science did not reply to a request for comment. The awards committee is not unusual. For example, a scientific advisory body announced by the ministry of demographics in April comprises 35 men and five women. The board of the Croatian Science Foundation, newly appointed by the parliament, is a little better, with five men and two women, but still unequal. “This is especially significant because such bodies do not merely distribute prestige. They shape research priorities, funding allocation and long-term scientific development,” Marija Lugarić, chair of the parliament’s committee on gender equality, told Science|Business. “Representation here matters not only symbolically, but materially.”Referring to the awards committee and the board of the science foundation, Lugarić says that while both bodies were appointed by parliament, neither met the minimum 40% gender balance threshold that Croatian law and EU guidelines expressly recommend for public bodies.Đikić wants to see EU institutions put pressure on the government to ensure basic standards of fairness, transparency and democratic governance in science policy are met. “Meaningful change will not come without pressure,” he wrote. “It must intensify both within Croatia and at the level of European institutions. Anything less undermines the credibility of Europe’s commitment to excellence and inclusion in science.”Rudež also underlined the importance of talking and writing about this topic, “because public opinion in Croatia does influence changes in the status and visibility of women in science.”The European Commission has not yet responded to a request for comment.Good news from the academyA more positive story came from the Croatian Academy of Sciences and Arts on 21 May, with the announcement of seven new women fellows and five men. This is the first time in the academy’s 165-year history that women have outnumbered men in a new intake.One of the new fellows, two-time ERC grantee Iva Tolić, credits the academy leadership with trying to be more modern and inclusive, representing the whole community better. “The academy is really aware that so far, before this election, there were very few women,” she told Science|Business. “So, they are actively trying to make this more equal.”Related articlesExplained: How the MSCA is close to achieving gender balanceCall for EU to leverage academic freedom in global talent raceRudež is more cautious, noting that despite the academy’s “breakthrough this year [. . .] it is still a predominantly male institution, with only 18% women.”This reflects a wider imbalance in Croatia’s research landscape. “The key levers of power in science are still in the hands of men,” she went on. “For example, all 14 rectors of private and public universities are men.”Similarly, Lugarić says a structural glass ceiling still exists in Croatian science, which is “most visible precisely where power is exercised.”She cites data from the Commission’s She Figures 2024 report, which shows that Croatia ranks second in the EU for gender equality in research and innovation overall, with an equality index of 79.6 out of 100. It is in the top five for women’s career advancement, participation in research; representation across all research sectors and for scientific publications.In stark contrast, it ranks second to last when it comes to women in decision-making positions in science. “This is not a coincidence,” Lugarić says. “It is a structural pattern.”Informal barriersThe persistent under-representation of women in the highest structures of Croatia’s academies, boards, award committees and leadership positions is not down to formal barriers, Lugarić says, but arises from more subtle obstacles such as “informal networks, persistent expectations regarding traditional gender roles and the unequal distribution of care responsibilities.”Tolić would like to see more support for young women in terms of affordable housing and child support, and higher salaries. Currently, she says, salaries in science stay low for the first 10-15 years, while housing and spaces in kindergarten are limited and expensive. “You have to work a lot, you get very little money, so it’s not great to have a family in this situation,” she says.But despite the challenges, Tolić is optimistic, saying that gender equality in research in Croatia is “definitely improving and going in the right direction.” The situation is particularly promising in biology, she adds, where most full professors, heads of department and deans of faculties are women. Lugarić, too, see the glass ceiling “very slowly, cracking,” and cites the academy election as an example that structural change is possible. Yet the situation in the national awards committee is a “stark reminder that without a conscious, systemic commitment to gender balance, progress will remain slow and uneven.”
Kevin Hassett says US seeing business, stock market ‘boom’
Larry Kudlow highlights booming U.S. business, strong JOLTS numbers, and the S&P 500's 27% growth in the last year, pressing National Economic Council Director Kevin Hassett to acknowledge the positive economic data.
Close But No Cigar: Dbacks 5, Dodgers 6
The Dodgers evened the series on Tuesday night by narrowly beating the Dbacks 6-5. The Dbacks had plenty of runners on base, but were 1 big hit short Tuesday night. Michael Soroka struggled early in this one allowing 2 runs in each of the first 2 innings. He allowed a 2 run HR to Freeman […]
Iowa GOP Senate candidate Ashley Hinson says prolonged Iran war could become a "political liability"
Iowa GOP Senate candidate Rep. Ashley Hinson acknowledged the U.S.-Iran conflict could become a "political liability" if it stretches beyond the next few weeks, according to audio obtained by CBS News.
With Myles Garrett, will Rams finally find true L.A. sports fan love?
The Rams are doing everything they can to be perennial Super Bowl title contenders, but will they ever get closer to the Dodgers and Lakers in popularity?
Beastie Boys DJ Mix Master Mike, Voices Of Service Join 50 Cent for 2026 United Bowl Presented by Credit One Bank
Sponsored by Dynasty Financial Partners, Mix Master Mike to perform throughout United Bowl with extended sets pregame and leading into 50 Cent halftime performance, and postgame trophy presentation
Los Angeles Rams have the makings of a dynasty
When the Los Angeles Rams took a step back after their Super Bowl victory, many around the NFL believed they would struggle to return to contention. Some executives, including Buffalo Bills general manager Brandon Beane, even pointed to the Rams…
Myles Garrett gives the Rams a better shot at winning the Super Bowl, but was he worth the cost?
The question isn't who the better player is between Garrett and Jared Verse -- it's whether the difference between them justifies everything Los Angeles gave up
Will Campbell Shares Thoughts On Patriots Adding A.J. Brown
The New England Patriots fell just short of winning the Super Bowl last season, but they have had a very productive offseason.
The pressure is on
The Rams are heavy Super Bowl favorites after Myles Garrett trade but nothing is certain in the NFL
How Science Works
The 2nd Weather and Climate Livestream is now underway. It is organized by a group of early-career researchers concerned about declining funding for the field and eager to demonstrate how weather and climate research makes a difference in our lives. Last year’s event was a great success, drawing terrific press coverage including a piece in the NY Times. This year features a strong lineup of talks aimed at a general audience — I highly recommend tuning in. Share I gave a talk yesterday about How Science Works in Three Steps. You can see the short presentation here (I’ve appended a transcript below): And please tune into the livestream here. It runs through tomorrow at 6 pm ET. Thanks for reading The Climate Brink! Subscribe for free to receive new posts and support our work. Subscribe Cleaned up transcript: Thank you, and thanks to everyone tuning in. I want to talk about something I think a lot of people don’t really understand: how science actually works. Arguments over any scientific topic — climate change, vaccines, you name it — revolve around competing claims. For climate change, the claims are: Is the Earth warming? Are humans to blame? What will the impacts be? Over the last 150 years, the scientific community has developed a remarkably robust method for sorting out which claims are true and which aren’t. That method is what I want to walk through. So how does science generate knowledge? If you ask a high schooler, they’ll give you the version they learned in ninth grade: an individual scientist forms a hypothesis, runs an experiment, and draws a conclusion. That’s more or less what happens at the individual level, though in practice it’s more iterative — you design, test, and refine all at once, landing on a slightly different idea each time until you reach a conclusion about whatever hypothesis you’ve ended up with. But this isn’t science. It’s only step one. Any individual scientist can make mistakes — scientists are human. Maybe there’s a bug in the code, maybe there’s an error in the experiment. Just because someone ran an experiment and reached a conclusion doesn’t mean it’s right, and scientists don’t treat a single result as settled truth. Step two is peer review, the first layer of quality control. The scientist writes up what they did and submits it to a journal, which sends the paper to other experts in the field. Those experts judge whether the methods are sound, whether it properly references prior work, and whether the conclusions actually follow from the data. Ask any scientist and they’ll tell you peer review is miserable — the comments come back brutal, often harsh, and you have to revise and resubmit, sometimes multiple times, before an editor finally accepts the paper. Peer review catches an immense amount of bad science, but it can’t catch all of it. Reviewers get sloppy or overworked, they miss obvious mistakes, and they can’t catch hidden errors — a bug in the code, a misread instrument. So a peer-reviewed paper making it into a journal doesn’t mean the paper is right. Nobody treats a single paper as the final word. That’s where step three comes in: the crucible of science. Important results get retested by the broader community. If you publish something interesting, it gets dissected. Sometimes people try to reproduce your work directly but more often they test its implications. If someone claims X is true, and that implies that Y is also true, then scientists will go check Y. If a claim survives this gauntlet long enough, it becomes accepted. That’s how we generate knowledge. Let me give an example: the ozone hole. In 1985 — and I doubt many people watching were around then, but I remember it well — Joe Farman and his colleagues published observations from Antarctica showing that a huge chunk of ozone was disappearing every year. This was shocking because most atmospheric chemists had expected ozone loss to occur at mid-latitudes and high altitudes, not over the South Pole. When scientists see something they don’t understand, they rush to explain it, and several competing hypotheses quickly appeared in the peer-reviewed literature. One pointed to chlorine chemistry from chlorofluorocarbons. A second blamed nitrogen chemistry, possibly driven by solar proton events — meaning the sun was responsible. A third argued it wasn’t chemistry at all but dynamics: winds were carrying naturally low-ozone air from the lower atmosphere up into the stratosphere. Then the community went to work testing which theory could survive the crucible. Aircraft flew into the ozone hole and found no nitrogen, ruling out the nitrogen theory. Measurements showed the air in the polar vortex was descending, not rising — which would bring high-ozone air down, eliminating the dynamics theory. Meanwhile, those same flights measured enormous amounts of chlorine, strongly correlated with exactly the regions where ozone was being destroyed. That became known as the “smoking gun” paper, and it established that chlorine chemistry was the cause. Through this process, a consensus emerged. And it’s worth being clear that this consensus is organic. There’s no vote, no poll, no meeting where it gets decided. Scientists go to conferences, talk to one another, and independently arrived at the same answer. It’s the ultimate free market of ideas. After the consensus was established, the peer-reviewed literature doesn’t even mention the rival theories — it simply takes chlorine chemistry as given. That’s what a consensus looks like. It doesn’t mean every single scientist agrees, but it does mean there’s no longer any legitimate debate. So where can you see what scientists actually think? It’s all in the peer-reviewed literature, which contains the entire historical record of the argument: the discovery, the competing theories, the debate, the testing, and finally the community coalescing around one answer. But there’s a lot of room for misrepresentation. You can dig up an old paper claiming the ozone hole was caused by dynamics and wave it around as if there still was a debate about the cause of the ozone hole — without mentioning that the idea was disproven long ago and that even its own authors no longer believe it. There’s a bigger problem, though: the peer-reviewed literature is written in a language I call “nerd.” It’s extremely hard to read — honestly, some of it is hard for me to follow. It takes graduate students years to work through the literature in a single field, so we can’t expect policymakers or ordinary people to do it. This is where scientific assessments come in. The most famous is the IPCC — the Intergovernmental Panel on Climate Change. The job of an assessment is to read and summarize the peer-reviewed literature, synthesizing what’s settled, what’s been disproven, and what remains genuinely debated. To ensure the assessments accurately summarize the peer-reviewed literature, assessments are written by large teams, which are far less prone to bias than individuals and which dilute the influence of any one scientist with an axe to grind. The teams are deliberately assembled to avoid stacking the deck, and the reports themselves go through multiple rounds of peer review. That rigorous process is exactly why you can trust them and why people consider the IPCC to be the gold standard of what we know about the climate system. An assessment produced through a different process may well not be credible. You can even watch the consensus evolve across assessments. Take the attribution of warming. The 1990 IPCC report said the observed warming was broadly consistent with model predictions but also comparable to natural variability — in other words, we don’t know whether humans are responsible. By 1995, it concluded that the balance of evidence suggested a discernible human influence — a sentence only a committee could write, and one that barely commits to anything. By 2001, most of the warming over the previous 50 years was judged “likely” due to greenhouse gases; by 2007, “very likely”; by 2013, “extremely likely.” The 2023 report says essentially the same as 2013 — there’s not much stronger language available. So, to wrap up: science is our ultimate tool for deciphering the universe — the most successful method we’ve ever developed for determining what’s true and what isn’t. Our understanding is written into the peer-reviewed literature, so if you want to know what scientists think, that’s where to look. And for those of us who don’t speak nerd, scientific assessments are the Rosetta Stone — they translate nerd into English. Let me open the floor to questions. Thank you.
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