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Hungary moves to overhaul university models banned from Horizon Europe
Hungary’s new government is aiming to overhaul the governance model of the institutions and universities that lost access to Horizon Europe and Erasmus+ funds “in a short timeframe,” according to Péter Horváth, the new state secretary for science policy and innovation. “As of today, the two non-university foundation-controlled institutions under my remit have been transformed,” he told Science|Business. “We hope the universities will follow and that this will be enough to satisfy the EU’s demands.”Under the previous government, led by Viktor Orbán and his Fidesz party, many academic and scientific institutions were restructured and made into special public trust foundations, with members strongly linked to the government given lifelong mandates and significant decision-making powers with little oversight. The European Commission deemed that this undermined academic freedom and transparency in the country, leading to a ban on 34 institutions in 2022, including 21 universities, which saw academics in Hungary lose access to Horizon Europe grants. The new Hungarian government, elected in May and led by Péter Magyar and his Tisza Party, has promised to dismantle this governance model and restore the institutions to EU programmes. As a result, the European Commission has promised to return access to the Erasmus+ education mobility programme, but so far no concrete agreement has been made on the Horizon Europe programme for research and innovation. Hungary has already made legislative changes in June to allow the institutions to be reformed and set a timeline for the implementation.The non-university foundations, which are mainly cultural centres such as the Foundation for Hungarian Culture or the Makovecz Campus Foundation, will all be dissolved by August 31 this year, a date tied to EU-set milestones that Hungary must meet to unlock frozen funds, with control transferred to relevant ministries. Meanwhile, the universities will have until 31 August 2027. For each university foundation, the government will set the dissolution date and the body to take over operations. There is no final decision on a permanent new model for the universities, according to Hungarian MEP Eszter Lakos, who is shadow rapporteur for the Horizon Europe specific programme, a separate piece of legislation detailing implementation rules for the EU’s next research programme, due to start in 2028. “The aim of the transition year is to settle this with [the universities], not to impose a model, and not to put them under state control,” she told Science|Business. “The goal is to give academic independence back to universities.”There are three models that are most likely to be implemented. One would be a return to a traditional, state-run model. Another could be a newer, more self-standing public institution. A third option would be a reformed version of the foundation models that meet EU standards. According to Lakos, the dismantling of the system put in place by the Orbán government is well underway and if all goes according to plan, Hungary could regain access to EU research money by the start of the next academic year in 2027. “I believe that the Hungarian government is doing the necessary changes so the universities could return as beneficiaries to Horizon from the next school year,” she said. In the meantime, “the universities, institutes and cultural assets carry on under proper public stewardship rather than a handful of unaccountable trustees,” said Lakos. The laws passed in June impose new safeguards: board terms are capped at four years and renewable only once, appointments are made through open competitions and sitting politicians cannot join joining these boards.It remains unclear whether a domestic science funding programme set up as a back-up scheme by the former government following the EU funding ban, called HU-rizon, could be continued. “This programme should never have had to have been established in the first place, but it has proven to be quite popular,” he said. “I am considering continuing this programme with a refined focus on helping international collaborations.”Re-organising the research network One of the first priorities for Horváth and his cabinet is to resolve questions over the future of the Hungarian Research Network, Hun-Ren. The network of academic institutes was taken away from the Hungarian Academy of Sciences in 2019 and turned into a quasi-private organisation, with similarities in its governance to the public trust foundations.Horváth and his team have consulted over 5,000 representatives from the network and the conclusion is broad unhappiness with the directors of all the institutes involved. “We have presented the results to the president and the chief executive of the network and this is currently being discussed,” Horváth said. The plan is to re-integrate the network back into the Academy of Sciences but in an improved way, “learning from mistakes of the past,” he added. The government also wants to reintegrate four humanities and social science research centres into the network that the previous government had transferred to Eötvös Loránd University. The transfer brought sharp criticism from the academic community, with a group of Hungarian research heads, including European Research Council grant recipients, sending an open letter to Orbán warning that the transfer would “cause historically significant harm to the entirety of Hungarian scientific life.” The transfer was “one of the biggest shames in Hungarian research in the past 20 years,” Horváth said. “We want to immediately re-integrate them back into the research network and to regain the trust of these institutions, because the way they were treated was really unfair.”Another pressing issue is the Élvonal Excellence Research and Talent Development Foundation, led by Nobel laureate Ferenc Krausz. The foundation signed a financing agreement with the former government earlier this year for a budget of over €730 million over the next five years. The goal is to create a world-class centre to attract top talent from abroad and to develop local researchers. But there was little transparency about this foundation, and news of its huge budget, which is nearly as much as Hungary’s entire research budget, caused a stir in the media following the recent elections. Another issue is that, as with the foundation boards of the institutes banned from Horizon Europe, there was little-to-no oversight of decisions led by Krausz. “It was an excellent idea but an unacceptable execution,” Horváth said of the foundation. “The fact that this is out of the Hungarian funding scheme, mostly concentrating on one person who decides on the budget is unacceptable for us.”The government plans to merge the centre with the National Research, Development and Innovation Office, the country’s R&D funding agency, with a reduced budget. Horváth is hopeful that Krausz will still be involved. The new government’s R&D goalsA phrase that crops up regularly during the discussion with Horváth is “democratic process.” The new state secretary is determined to involve Hungary’s research community in shaping future policies. This marks a departure from the previous government’s approach, and several people in Hungary’s research community have commented on the openness of the new government. In terms of concrete goals, Horváth and his team already have plans. He wants to create a new science fund in Hungary, based on the best practices of other European countries. The fund would not be tied to annual government budgets and would provide long-term, stable financing. “If we were to succeed in creating this fund, then I think it would be one of the biggest achievements for me in this period of government,” Horváth said. On the innovation side, he is looking into how best to bring in the private sector. “We want to make sure that we are working with the private sector to support innovation,” Horváth said. One of his big aims is to introduce entrepreneurship teaching into high schools. Hungary already has a reputable national academy offering research and innovation training in the field of natural sciences, and Horváth wants to expand this to all disciplines and across the whole country. “One of the main ways to elevate our innovative businesses is to teach our children to be innovative,” he said. “This will probably need ten years to pay off, but this is what we should do. Our aim is to make Hungary strong in our region, and this is what is needed.” Related articlesHungary’s Horizon Europe performance in numbersCommission unlocks Erasmus+ cash for Hungary, Horizon could be next‘Academic Huxit.’ Hungarian researchers speak out on impact of EU ban A more difficult task will be funding. The new government is aiming to increase research spending to 2% of the GDP by 2030, and then increase it to 3% in line with EU objectives. Currently, spending sits around 1.3%. But according to Horváth, the current budget, inherited from the previous government, is “heavily in the negative,” so any plans to increase research spending will have to start next year. Achieving 2% by 2030 already needs a big push, almost doubling the research budget. “This is something we’d definitely like to reach, and something I can see us achieving,” he said. “From the 2030s, I’d like to see an innovative generation growing up that can help us reach the 3% target.” Positivity in the new governmentDespite the many challenges facing Horváth and his team, the mood is positive. “It feels a bit like a start-up right now. Everyone is working 24/7, day and night, trying to do as much as they can. There is a lot of energy,” he said. It is a big change for the state secretary who, like many in his cabinet, is coming from a background in research or business, and not in politics. “Six weeks ago, I was sitting with my microscope and my research PhDs, so it’s been a big change for me,” said the computer scientist, who was previously the director of the Institute of Biochemistry at the Hun-Ren Biological Research Centre in Hungary and worked at the Institute for AI for Health at Helmholtz Munich. But he is relishing the task to transform the country’s R&D landscape. “We feel enormous support from the Hungarian people, but also from Europe,” he said. “We’ve received a lot of letters of support from around Europe. There is big trust there, and huge responsibility on our side. We want to get everything back on track, and there’s a lot to do.”
Academic Excellence Award Winner
Academic Excellence Award Winner Erin shares her experiences as a Public and Community Health Major, with double minors in Legal Studies and Health Policy and Management:"I came to Ithaca from the suburbs of Boston, Massachusetts knowing that I wanted an education that would allow me to change the world in a positive light. Admittedly, I was unaware when choosing the public health major just how much of an impact I could make, but through my experiences in this rigorous program, I know public health is where I am meant to be. Being a public health major during the COVID-19 pandemic was a unique experience. My education granted me the opportunity to work on and off campus with different populations to provide support during the pandemic. Professor Srijana Bajracharya was my professor for Research Methods in Health. She encouraged her class to create research projects that would benefit our communities. She was a mentor for me and helped me find my passion in research, which I have brought with me to my job as a research assistant for Rescue - The Behavior Change Agency. I thank Professor Bajracharya for her guidance and support throughout my time as a public health student."
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Croatia’s science ministry has been accused of a lack of ambition, and even incompetence, over proposed changes to the country’s 2022 science law. Critics say an opportunity has been missed to fix wider shortcomings in the research and universities system.“This law, like all the previous ones, will not significantly change the current state of science in Croatia,” Vlatko Silobrčić, a member of the Croatian Academy of Sciences, told Science Business. “A small shift here and there will not have a significant impact.”The 2022 law introduced multi-year block grant financing of research, based on results, and changes intended to boost employment and career progression for researchers and lecturers. But implementation of the law has been uneven. “It became apparent that certain of its provisions were subject to different interpretations by higher education institutions and scientific institutes,” the science ministry said in its proposal for change. “This caused legal uncertainty in the system, administrative difficulties in implementation and, in certain cases, unequal treatment of teachers, scientists and students.”Most of the proposed amendments deal with technicalities in hiring and promoting staff, such as extending the committee deadlines from 60 to 90 days, or allowing applicants to cite all of their achievements and not only those since their last appointment.Both the ministry and Croatian media highlighted changes that would raise the retirement age from 65 to 67 years and allow part-time students 15 year rather than 10 years to finish their studies.The change to retirement age has been criticised for reinforcing a weakness in the system. According to Matko Marušić, professor emeritus at the University of Split, this will “allow unproductive teachers to advance and work longer, while hindering and discouraging productive ones.”A longtime campaigner for excellence-based meritocracy, he sees little hope in the new legislation. “I am not optimistic that things will improve,” he told Science Business. “As recent changes to the law in Croatia show, the legal framework is becoming increasingly hypocritical and harmful.”For Marušić, who analyses Croatia's university system in a recently published book, the situation is “unfavourable and constantly deteriorating” due to the criteria used for academic advancement.“The key criterion for advancement should be scientific productivity,” he said. “In Croatia [. . .] scientific criteria are increasingly lowered, and ineffective and absurd criteria such as waiting times for promotion and age limits for remaining in a job are promoted.” He would also like to see better criteria for the quality of teaching at universities. “In practice, teaching is not monitored or evaluated,” he said, estimating that up to a third of teaching simply does not take place. “Under the guise of university autonomy and bad laws, universities and faculties are allowed to earn additional money by increasing enrolment quotas that have nothing to do with the needs of the labour market.” Lack of ambitionDora Kršul, a reporter at Telegram.hr who covers science policy in Croatia, finds the rationale for changes “bizarre.” “The ministry responsible for supervising the uniform application of the law is changing the law because it is being implemented unevenly,” she said. “This primarily speaks to the power relationship in the sphere of science and higher education in Croatia, that is, the question arises as to who actually manages this system.”Rather than raising quality, she continued, the changes appear to be designed to help vocational and applied universities who have not been complying with the law.The Independent Union of Research and Higher Education Employees of Croatia said that the changes were “unambitious” and represent a missed opportunity for more important changes. “We think some of the changes are even negative,” it said in its statement on June 25. One of these is introduction of an “assistant” job title that allows people to be hired only for the duration of a project. Related articles: Elections to top science bodies test Croatia’s gender equality in researchSlovakia revises R&D approach to increase focus on competitivenessLatvia pilots citizen engagement in research grant evaluationsThe union’s president, Tvrtko Smital, who was part of the 15-member working group tasked with drafting the changes, told the local media there was a “worrying lack of ambition” in the process, and “lack of competence” in terms of research experience and understanding the problems in the system.“There is no clear will to deal with the problems,” said Smital, an assistant professor of marine and environmental sciences at the Ruđer Bošković Institute in Zagreb. “It’s a combination of unambitiousness and incompetence,” he went on, expressing his “deep frustration” with the situation. “There is no strategy, no clear thinking, and money is not being spent optimally.”Croatia’s science ministry has not responded to requests for comment.
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New games sold for PlayStation consoles will only be available digitally and won’t be sold on discs effective January 2028, Sony has announced. The move applies to all PlayStation games released from that point on, including those made by Sony and those released by third parties. The PlayStation group calls the change “a natural direction for Sony Interactive Entertainment to adapt to consumer trends as the general preference for digital media significantly outpaces physical discs,” according to a PlayStation blog post reviewed by Game File in advance of its publication. As movies, TV and music have shifted from physical media to an age of downloads and streaming, Sony’s move could speed the demise of physical media in a gaming. The industry has offered consumers games via cartridges, cassettes, floppy discs, CDs, DVDs and Blu-Rays across a 50-year stretch. Sony has been reporting to investors in recent years that PlayStation games have been increasingly purchased as downloads, not as discs. The most recent figures show nearly four in five purchases of full games for PlayStation 4 and PlayStation 5 were purchased digitally in the past year. Stats like that may cause today’s news to carry an air of the inevitable. But Sony’s declaration for 2028 is still likely to produce a shock, as the biggest gaming platform on the planet that uses game discs leaves them behind. Discs going away, but the fate of game boxes is unknown Sony is committing to still selling games in physical retailers even after they drop discs in 2028. Just how those games will be sold—in boxes with codes inside, as cards marked with digital redemption codes—is unclear. Digital games will also continue to be sold in the online PlayStation Store. New games released for PlayStation consoles prior to January 2028 will be unaffected by the policy change, Sony says. That means the PS5 games of 2027, be they a new Madden, a new God of War, a new Call of Duty, a new Sly Cooper (one can dream?), would still potentially be offered on disc. PlayStation 6 implications Sony’s timeline for a transition to a no-disc era will also spin up more speculation about the timing and configuration of Sony’s next-generation console, the probable PlayStation 6. “This pretty much guarantees that PS6 won’t arrive until 2028 at the earliest,” Piers Harding-Rolls, senior games research analyst at Ampere Analysis tells Game File. Harding-Rolls also concludes from today’s news that “the base version of a PS6 will not include a physical media drive,” as Sony looks to keep costs down on the device. Sony itself is saying nothing about the PS6 today: not its timing, nor how it might or might not support internal or external disc drives in order to run disc-based PS4 and PS5 games, should the console be backwards compatible. The many signs this was coming Industry support for games being released on physical media has been waning. As has consumer interest in them. PC games effectively went all-digital years ago, thanks to the popularity of playing games through Steam and other digital storefronts. The Covid-19 pandemic and the lockdowns that kept much of the global population home helped shift shopping patterns toward downloads. Sony’s own data shows PlayStation game downloads being an uncommon consumer choice a decade ago and now becoming the norm. On consoles, physical media has been in such decline that Sony and Microsoft both launched their current gen Xbox Series and PS5 consoles in 2020 with cheaper versions that lacked disc drives. In early 2024, Phil Spencer, then head of Xbox, told me that ““[w]e ship games physically and digitally, and we’re really just following what the customers are doing.” He added that the game industry had become an outlier in still supporting disc-based entertainment, even as movies and TV have bailed on discs in favor of downloads and steaming: “Gaming consoles themselves have kind of become the last consumer electronic device that has a drive. And this is a real issue, just in terms of the number of manufacturers that are actually building drives and the cost associated with those. And when you think about cogs that we’re going to go put in a console—and as you have fewer suppliers and fewer buyers—the cost of the drive does have an impact.” Last year, the Nintendo’s Switch 2, which uses cartridges rather than discs, introduced the concept of game-key cards, which are physical media that contain no game, just a prompt for a download. Even disc-based games aren’t what they once were, now frequently containing just stubs of games rather than the whole thing. The website Does It Play has tested over 3000 games and found that, for example, that the disc version of this year’s hit 007: First Light, only contained the game’s first mission, with the rest needing to be downloaded. Beyond all that, last week brought the news that Grand Theft Auto VI, likely the biggest game launch this decade, will debut for PS5 and Xbox Series without a disc-based version. Today’s big news comes to you for free. Game File is a reader-supported publication. To receive new posts and ensure more of my work is possible, please consider becoming a free or paid subscriber. Subscribe Discs helped define PlayStation However the trends in entertainment may be going, it is still remarkable to see PlayStation ditch discs given their importance in PlayStation history: In the late 1990s, the first PlayStation’s support for games on relatively cheap CD-ROMs instead of traditional game cartridges allowed the upstart console to outmaneuver cartridge-based systems from Nintendo and Sega, as it drove down game prices down in the process. (The cheaper disc format even prompted Final Fantasy VII maker Square to taunt Nintendo in a magazine ad, saying that if the game was “available on cartridge, it’d retail for around $1200.”) PlayStation devices often doubled as machines for watching movies and TV on the latest disc-based formats. In the late 2000s, for example, Sony’s pricy PS3 gained traction as a go-to device for playing then-novel Blu-Ray discs. In 2013, Sony effectively roasted the digital game-sharing restrictions proposed by rival Microsoft for its upcoming Xbox One console by showing how games could be shared for the then-upcoming PS4. In a 21-second clip that has over 20 million views on YouTube, one PlayStation executive simply handed a game box—presumably with disc inside—to another, who said “thanks.” Sony’s possible motivations The PlayStation announcement today cites “consumer preferences” and a shift away from discs among “the broader entertainment industry,” but does not delve into the decision-making process that brought Sony to this point. Sony is not discussing the economics of this move (I asked!), but there are a number of potential factors: Abandoning discs will spare Sony the cost of manufacturing and shipping them, which analysts and industry veterans I spoke to said could account for $1 or so of a game’s retail price. For first-party games, that’s direct savings for Sony, though the amount is limited by the winnowing percentage of people who were even buying the disc-based versions. For third-party games, Sony could pass the savings on to partners or just retain the better profit margin for themselves. As the 2024 comments from Phil Spencer alluded to, leaving discs behind could mean leaving disc-drives behind, allowing Sony to produce consoles more cheaply. Switching to digital-only for games could diminish the risks of copies of new games leaking. It would also seemingly make second-hand sales of used games impossible, pushing more people to buy their own copies of games. These economic benefits for Sony could be boons for the games industry overall, Ampere analyst Piers Harding-Rolls tells Game File. Among other things, it could free publishers and retailers from having to worry about securing an inventory of game discs when trying to sell games, he noted. “If there is a way to streamline the business of games retail, I generally think it’s a good thing for the industry as it removes unnecessary costs,” Harding-Rolls said. “This will help offset pressure on margins from other directions – development and staffing costs for example.” Should the industry shift from game boxes that contain discs to smaller, cheaper game cards, Harding-Rolls said, that reduces pressure on publishers and retailers. “The advantage of everything going digital for the industry is that sales can be tracked much more easily and there is less commercial risk for publishers wanting to continue selling via retail,” he said. The shift to no discs will also likely impact game development timelines, as developers will no longer face the same urgency to have a build ready to submit to PlayStation for the production of a disc, as industry experts noted around GTA VI’s no-disc news last week. Instead, projects may gain weeks of development time, in the event delivery deadlines for platform approval move closer to release date. Preservationists’ likely worries While millions of gamers have shifted to digital, there are still people who associate game discs—and only game discs—with actual ownership of PlayStation games. That portion of the gaming community spoke up last week about wanting to buy a version of GTA VI that they could hold in their hands, could lend to a friend and could potentially pop into a well-preserved PS5 console three decades from now and still see it run. Such gamers didn’t want to worry that they’d merely purchased a digital copy that could lose access to the game if, say, the company behind the game someday turns of the servers that transmit downloadable copies. Digital copies of games are inherently less long-lasting, because consumers aren’t actually buying a game (on a disc), just buying access to the game. The fine print in online gaming shops notes this, as does a recent law that went on the books in California in 2025. That lasw requires game publishers doing business in the state to refrain from words like “sell” when offering digital copies of games, unless they explicitly tell consumers that what’s being sold isn’t the game itself but a potentially revocable license to access it. A Sony spokesperson noted to Game File that “[w]ith all digital content, including games, movies, and music, players are purchasing a personal license for non-commercial use.” Regarding the fears of PlayStation games being lost to time in an all-digital era, the rep also noted that Sony remains “committed to delivering experiences from past generations to the new platforms our players are using.” They noted that PlayStation has used emulation and remasters to keep offering its classic games to modern gamers. It’s true that many consumers have become accustomed to not having physical copies of new music albums or movies, but the relative precariousness of digital copies of games is in fact being highlighted today by…. Sony’s other big announcement: the upcoming closure of the PS3 and PS Vita online stores Sony said today that it will be closing the online marketplaces for its PlayStation 3 console and PS Vita handheld in most countries in July 2027 (sooner elsewhere: August 2026 for the PS3 store Mexico, Honduras and Nicaragua; late 2026 for PS3 in other Latin American countries and the Middle East). “We know this news may be disappointing to PS3 and PS Vita players who hold a special place in their hearts for this generation of gaming,” Sony said in its announcement, saying the move “was not an easy decision for us to make.” Sony said that PS3 and Vita marketplaces “are no longer able” to support modern commerce systems, prompting a “need” to close the shops and focus on more modern PlayStation platform stores. The news may spark some deja vu. Sony announced back in March 2021 that it planned to take the PS3, Vita and PlayStation Portable marketplaces offline that summer. The move would have caused some 2,000 digital-only games to become unavailable for new purchasers, according to a VGC analysis at the time. Fans complained loudly. By April 2021, Sony walked back the PS3 and Vita shop closures, with then PlayStation boss Jim Ryan saying “it’s clear that we made the wrong decision here.” This time around, Sony is giving a longer notice period in most regions. The closure of those stores is still likely to cut off access to new purchases of digital-only PS3 and Vita games. The current PlayStation 5 marketplace sells PS5 and PS4 games, as well as a selection of PS1 and PS2 games. It does not sell PS3 games, because games for that platform can’t run on the system (some are offered via a PlayStation Plus streaming option). Vita games also aren’t sold via PS5. Sony says digitally purchased PS3 and Vita games will be downloadable after the stores’ shutdowns “for the foreseeable future.” Sony’s move contrasts with Microsoft’s Xbox platform, which continues to sell and support games from all four Xbox console generations. But it puts it in line with Nintendo, which disabled purchases in the marketplace for its Wii console (a contemporary of the PS3) in 2019. Nintendo discontinued purchases in the online shop for its 3DS portable (a contemporary of the Vita) in 2023. The big questions about Sony’s 2028 post-disc era Will Microsoft follow suit, ending support for new disc-based games on Xbox platforms and therefore all game consoles, too? Whether Microsoft does or not, will third-parties that can no longer release games on discs for PlayStation, simply ditch the disc options across the board? Given the GTA VI no-disc experiment launching this November, will more game publishers decide to forgo disc-based offerings even in 2027? How will no-disc PS5/6 games be packaged and sold in brick-and-mortar retail stores? What becomes of game sharing in an all-digital era? Will Sony modify its current set-up, which currently allows some sharing of digital games across a pair of consoles, to allow more casual lending? (See for example, Nintendo’s year-old system of letting players lend a digital game to another player in a “family group” for up to 14 days.) Will there be a version of a PS6 with a disc drive? Or will a drive be offered as an add-on? And how will gamers who want to retain access to PS4/PS5 disc-based games react to whichever configurations Sony chooses to offer? What will the final disc-based PlayStation game be?
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We almost had a smartphone in the 90s. Why did it fail?
In the early 90’s, a company called General Magic began working on a portable device that would allow people to check email, make phone calls, even play games. It was basically a smartphone. But it never caught on.On today’s show, a theory about why this device failed. General Magic had generous investors, world-class talent and creative freedom. But is it possible what they needed was constraints?Support:Planet Money+Read: Our book: Planet Money: A Guide to the Economic Forces That Shape Your Life Our weekly longform Planet Money newsletterOur weekly Indicator round-up newsletterFollow: InstagramTikTokYouTubeFacebookThis episode was hosted by Erika Beras and Emma Peaslee. It was produced by Emma Peaslee with help from Sam Yellowhorse Kesler and James Sneed. It was edited by Marianne McCune and fact-checked by Charlotte Isidore. It was engineered by Jimmy Keeley with help from Cena Loffredo. Alex Goldmark is Planet Money’s executive producer.
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Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
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NJ Legislators Push for End to Corporate Money in Politics
NJ Legislators Push for End to Corporate Money in Politics New Legislation Would Redefine “Corporation” Under State Law to Disallow Political Spending SUMMIT, N.J.—Assemblymembers Andrew Macurdy, Chigozie Onyema, and Maureen Rowan today announced a bill that would bring an end to corporate spending on politics in New Jersey. The bill alters the definition of “corporation”[...]
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
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