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Are You Right-Handed? Scientists Just Figured Out Why.
Bipedalism and larger brains drove our unusually strong preference for being righties.
Here’s how we used AI to find gambling ads in televised sports
The Post used AI to analyze 50 televised sports games for references to betting.
Save COCA: Keep politics out of arts grants process
Grant decisions should not be subject to the shifting priorities, personal preferences, or political pressures of elected officials.
Leg evolution made most humans right-handed
'Rightie' preference isn't seen in any of our primate relatives.
Soundbar Vs. Speakers: Which Is Better For Your TV's Audio?
Soundbars will improve dialogue clarity, while a speaker system will be more immersive, so deciding between the two is a matter of preference and budget.
Scientists think they’ve cracked the mystery of human right-handedness
A new study suggests humans became overwhelmingly right-handed because of two major evolutionary shifts: walking on two legs and developing much larger brains. Researchers found that as human ancestors evolved, their right-hand preference steadily intensified — transforming a mild tendency into one of humanity’s most distinctive traits.
Notice of Intent to Award Veterinarian Services RFP | Department of Health Services
The evaluation panel carefully reviewed and analyzed the proposals received in response to the above referenced solicitation. Based upon that review and analysis, we are recommending to the Sonoma County Board of Supervisors that the contract be awarded to Dr. Catherine McKenzie.
VW Ads Have Occasionally Ventured Into Science Fiction
Usually when I talk about Volkswagen advertising, I tend to talk about their golden age of ads, the midcentury ones created by Doyle Dane Bernbach (DDB) that we all know, the ones that have become icons of advertising. The other day when I wrote about car ads that feature zero cars in them, I referenced […]
Patriots rookie OT Caleb Lomu makes position preference clear
Patriots rookie offensive lineman Caleb Lomu called himself a "tackle" in general, willing to play on both the left and right side.
A Political End for an Unusually Political FDA Commissioner
Marty Makary has made a habit of letting political preference color decisions at the agency.
A Political End for an Unusually Political FDA Commissioner
Marty Makary has made a habit of letting political preference color decisions at the agency.
Google's New 24/7 AI Agent Can Make Purchases on Your Behalf
Google is internally working on Remy, a Gemini-powered AI Agent that will have the ability to learn your preferences and take action your behalf. Currently being used and tested by Google...
AI platforms reference Nigel Farage more than other leaders when prompted on UK politics, study shows
Reform UK is ‘doing something right when it comes to visibility’ on multiple AI systems, say researchers
Don’t trust AI for help with citations, science-fair judges warn
Fake, AI-generated citations have begun disqualifying major science-fair projects. Such ‘ghost’ references even haunt research journals.
Global Health & WASH: May 2026 Funding Opportunities (14 new opportunities!)
The May update for Global Health & WASH brings new calls that cluster around three distinct shifts: LMIC research leadership moving from funder encouragement into a hard eligibility constraint, pharmaceutical and corporate-linked funders running structurally independent education and use-inspired research portfolios at substantial scale, and AI adoption shifting decisively from speculative tool to operational capability across health and WASH systems alike. In LMIC Research Leadership as Eligibility, Not Encouragement, Wellcome anchors the dominant signal of the month with three separate major calls that all require or strongly center LMIC leadership in their basic eligibility architecture. Wellcome’s ESIC Hubs (£1.5-£1.9M per hub over 3-5 years) explicitly requires an LMIC-based lead applicant, treating Global South leadership as a design constraint rather than a participation goal. Wellcome’s Infectious Disease Clinical Trial Development Award funds transdisciplinary teams whose lead must be a mid-career or established researcher based at an organization in Africa, South Asia, or Southeast Asia. Wellcome’s larger Infectious Disease Clinical Trial Award (£1M-£8M for optimizing licensed interventions) requires the administering organization to be in eligible LMIC regions and at least 50% of applicants based there. Around Wellcome, the same pattern shows up at smaller scale and across funders: CHINNOVA channels $1M into West and Central African research institutions for climate-health work; IBRO’s Neuroscience Training Grants explicitly tier ceilings by region of residence with Africa receiving the highest amount ($5,000); IHME’s GBD Emerging Researcher Award reserves at least one of its two annual awards for an LMIC researcher; Sidaction’s HIV Cure call funds research teams across France, the Netherlands, and eligible African countries with a minimum two-country collaboration requirement. Taken together, these calls signal a meaningful shift in how research equity is being operationalized — not as encouragement language at the bottom of a call, but as a structural feature of who can lead, where the work must be administered, and what proportion of the team must be regionally rooted. In Pharma-Funded Independent Medical Education and Use-Inspired Research, the lineup this month is unusually deep. Pfizer alone runs four parallel calls under independent education and quality improvement frameworks: a Migraine and Women’s Health RFP (200K x 2-year, $500K pool), Migraine IME ($200K, $1M pool), JAK Inhibitor evidence-based education ($100K), and Maternal Vaccination HCP Education in Saudi Arabia ($75K), plus a separate Pediatric Pneumococcal Surveillance research call in Saudi Arabia ($400K per project). Novo Nordisk Foundation runs four parallel calls of its own at substantial scale: Infectious Diseases Catalyst Grants (DKK 60M pool, up to DKK 7M collaborative), Non-Diabetic Endocrinology Collaborative Grants (DKK 53M pool, DKK 5-10M per project), Pioneer Innovator Grant Health (DKK 1.1M), and Distinguished Innovator Grant Health (DKK 6.8M). LEO Foundation deploys DKK 2-4M per project for dermatology research excellence. Pfizer’s framing across calls deliberately separates the funding from product promotion, emphasizing measurable practice-relevant change and structural distance between scientific outputs and commercial activity. Novo Nordisk’s “use-inspired” hard filter pushes researchers toward a credible translation pathway from mechanism to deployable tool. The pattern: industry-aligned funders are running structurally independent portfolios at meaningful $ that fund implementation evidence, not promotion. In AI as Operational Capability, Not Speculation, several calls this month explicitly treat AI adoption as a near-term operational question with real evidence and governance requirements, rather than a speculative trend to be watched. Wellcome’s ESIC Hubs frames AI as “the accelerator” for evidence synthesis, asking hubs to translate technical innovation into adoption-ready workflows that can match real-world policy timelines. UNICEF Venture Fund’s new Climate Tech for Children’s Health call funds for-profit startups deploying AI, machine learning, and blockchain in low-resource environments, with a strict requirement that solutions must already have a working prototype with promising pilot results. The Water Research Foundation has launched two simultaneous AI calls treating reproducibility, cybersecurity guardrails, and human-in-the-loop deployments as core design constraints rather than nice-to-haves: one on GenAI and Agentic AI in water utilities ($200K), one on alternatives to water shutoffs that explicitly screens for implementation economics evidence. Nordic Innovation’s quantum technology call (NOK 4.5M) extends the same logic into life science and healthcare, demanding consortium-stage projects mature enough to test with real users. TEF-Health offers €300K in subsidized testing infrastructure for European healthcare AI and robotics SMEs. The pattern: funders are converting AI pilots into playbooks, requiring transfer evidence and risk controls before AI can move from experimentation to sector-wide operational practice. For LMIC-based researchers in infectious disease or evidence synthesis, the three Wellcome calls together represent the deepest concentration of LMIC-led research capital in recent memory — pair the Infectious Disease Clinical Trial Development Award (£200K, deadline May 19) as a strategic pipeline feeder into the larger Infectious Disease Clinical Trial Award (£1-£8M, deadline June 2), since the development award functions explicitly as a track into the larger trial scheme. For Nordic researchers, the four Novo Nordisk Foundation calls plus LEO Foundation and Nordic Innovation Quantum represent ~$30M in regional research capital this cycle, all with deadlines clustered in May-August. For WASH practitioners, the three Water Research Foundation calls together (each up to $200K) are a cluster worth reading across — one on AI deployment, one on shutoff alternatives, one rewarding applied innovation — and the strongest applicants will articulate how their work bridges utility operations to policy-relevant evidence. For US-based clinical researchers and educators, the four Pfizer calls plus the APF Portfolio’s 80+ programs form an unusually accessible recurring pipeline; APF’s prohibition on indirect costs is a meaningful structural feature for early-career applicants whose institutions might otherwise absorb significant overhead. Snapshot of New Opportunities Total Estimated Funding Pool: $100 Million+ USD The grants are organized into three categories: Open Calls: Current grant and opportunities with a deadline. Grants are listed by closing date. 39 open opportunities- 14 new! Rolling Applications: current grant and opportunities with rolling applications (but it’s still best to submit as early as possible). 14 rolling opportunities- 1 new opportunity! Long term planning: Grants that have closed their current rounds, but are expected to open new windows. 4 long term opportunities! A quick tip for returning readers: if you want to jump straight to the newest additions, use CTRL F to search for “New!” and navigate quickly to the latest funding opportunities This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. Open Calls: Migraine Competitive Grant Program: Migraine and Women’s Health (Quality Improvement and/or Research RFP), Pfizer.*Closing soon!* Pfizer, in collaboration with the American Headache Society, is seeking independent quality improvement and research projects that close persistent gaps in migraine care for women across the United States. The funding logic centers on measurable, practice-relevant change: proposals should generate actionable evidence, tools, or system improvements that can be shared and used widely, not just within a single site. Priority areas span menstrual migraine and screening in women’s health settings, the role of hormonal fluctuations across the lifespan, sex-specific risk factors, comorbidities and quality-of-life burden, and disparities in outcomes by race, ethnicity, and socioeconomic status. The call is structured as a two-step competitive process with an initial Letter of Intent, with the strongest concepts expected to translate scientific insight into implementable improvements in diagnosis, management, and equity. Geographies: United States. Who can apply: U.S.-based organizations (not individuals), including professional schools, healthcare institutions, professional organizations, and other entities focused on healthcare improvement. Funding amount: Up to USD $200,000 total over 2 years; total pool USD $500,000. Targeted Sectors / SDGs: Health; Focus areas: migraine, women’s health, quality improvement, clinical research, menstrual migraine, health disparities. Deadline: LOI: May 5, 2026; Full proposal (by invitation): August 28, 2026. Learn more and apply here. This RFP rewards “shareable impact”: the most competitive submissions will pair rigorous methods with a clear plan for system uptake and dissemination beyond the originating institution. ReSSARC: Strengthening the Health Sector and Food Security in the Central African Republic (AID 013381/01/0) Call for Proposals, Italian Agency for Development Cooperation (AICS). *Closing soon!* AICS is seeking a limited set of high-capacity humanitarian partners to deliver an integrated package that stabilizes essential health services while reducing acute malnutrition and strengthening food security resilience in priority areas of the Central African Republic. The funder’s logic is explicitly nexus-based: proposals should meet urgent, life-saving needs while reinforcing local systems, coordination mechanisms, and community-level capacity so results persist beyond the emergency window. AICS emphasizes inclusion and protection outcomes, expecting gender-sensitive design and explicit measures for groups facing compounded vulnerability, including women, children under five, internally displaced people, and people with disabilities. The call also signals a localization pathway, encouraging stronger collaboration with national NGOs and balanced partnerships, alongside clear coordination with existing cluster and humanitarian actors to minimize duplication and improve coverage. Geographies: Central African Republic (Bangui, Ombella-Mpoko, Ouham, Ouham-Pende, Lim-Pende, Lobaye). Who can apply: Non-profit organizations registered with AICS, plus eligible non-profits without an office in Italy that have a pre-existing collaboration agreement with an AICS-listed organization. Funding amount: Total pool EUR €1,800,000; max EUR €800,000 (single applicant) or EUR €1,000,000 (ATS). Targeted Sectors / SDGs: Health; Focus areas: malnutrition prevention and treatment, maternal and child health, community health services, food security and resilience, localization partnerships Deadline: May 5, 2026. Learn more and apply here. This call is structured to reward partners who can link frontline service delivery to system durability and localization, not just short-term coverage gains. Contracts for Innovation in drug and alcohol addiction healthcare, Innovate UK. *Closing soon!* Innovate UK, on behalf of the Office for Life Sciences Addiction Healthcare Goals program, is procuring R&D to accelerate innovations that can improve treatment outcomes, strengthen recovery, and reduce harm and deaths linked to drug and alcohol addiction. The competition is positioned as a market-facing readiness push: selected projects are expected to advance solutions toward later-stage validation, generate evidence of user acceptability and UK market fit, and map credible routes through regulatory and certification requirements. Innovate UK signals a preference for innovations that can be field-tested in relevant UK settings and progressed to TRL 6 or 7, with practical plans for commercialization after contract completion. This structure favors applicants that can execute most work in-house, co-develop with service providers and people with lived experience, and translate technical progress into deployable tools for addiction healthcare delivery. Geographies: United Kingdom. Who can apply: Single organizations of any size (including EU, EEA, or international) leading delivery, with most work and key deliverables carried out in the UK; subcontractors for specialist skills only. Funding amount: GBP £200,000–1.5 million per project (inclusive of VAT); Total pool: GBP £20 million (across two strands). Targeted Sectors / SDGs: Health; Focus areas: Mental Health, Health Systems Strengthening, Research & Development, Technology Access. Deadline: May 6, 2026 (11:00am). Learn more and apply here. This call uses procurement to pull near-market addiction innovations toward operational proof and adoption pathways in UK services.
OpenAI talks about not talking about goblins
References to goblins and gremlins spiked with the release of GPT-5.1’s ‘Nerdy’ personality, and then spread to other models.
The Political Transformation of Corporate America, 2001–2022 -
The Political Transformation of Corporate America, 2001–2022 By Reilly S. Steel, Columbia University This article reconciles conflicting views about the political landscape of corporate America with new data on the revealed political preferences of 97,469 [...]
OpenAI wants its AI to stop talking about goblins randomly
OpenAI included a line in Codex's instructions restricting references to goblins, gremlins, trolls, and ogres, and even Sam Altman joined the memes.
OpenAI wants its AI to stop talking about goblins randomly
OpenAI included a line in Codex's instructions restricting references to goblins, gremlins, trolls, and ogres, and even Sam Altman joined the memes.
A Key Judicial Manual Is Changing What Counts as Science
New guidance risks blurring the line between scientific proof and policy advocacy.
US Regional and Mid-Sized Banks Are Dramatically Reinventing Their Business Models
Regional and mid-sized banks have traditionally held stable positions within the US banking sector. But fluctuating interest rates, shifting depositor preferences, stringent regulatory requirements and technological advancements are driving many institutions to undertake significant transformations to maintain their competitive positions.
Netflix Weighs Profit Discipline Against Growth In Sports Gaming Experiences
Netflix (NasdaqGS:NFLX) is sharpening its capital allocation approach, emphasizing profitability and margin discipline. The company is widening its focus beyond on demand streaming to advertising, live sports, gaming and experiential venues. Management recently chose not to pursue a potential merger with Warner Bros. Discovery, signaling a preference for self funded growth. Netflix shifted from a pure subscription streaming pioneer into a broader entertainment platform that includes ad...
Microsoft drops Copilot branding in Notepad for Windows 11 for everyone, but it’s really just a rename
I noticed that Notepad on my production PC was auto-updated, and it no longer has any reference to Copilot, but AI integration is not gone.
Notice of Partial Cancellation: Behavioral Health Services Act-Funded Program Services RFP
Notice is hereby given that a portion of the above-referenced Request for Proposals (RFP) is being cancelled, in accordance with County’s reservation of rights under Part 5, Section I.C of the RFP. Specifically: the scope of services under the RFP is being reduced, to eliminate Category 1.4 – Family and Client Education & Support Program as found in Attachment G (BHSA-Funded Program Descriptions and Allocations) of the RFP.
Shaky political science: using "simulated" elections over real-world elections
[Dear DSOS readers – this article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in early December, we examined over 40 studies focused on ranked choice voting. We found that many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data, and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
When the CEO Becomes the Brand
Research suggests that Elon Musk’s political stance appears to have reshaped how different groups perceive Tesla. Overall sales trends hint at trouble. The company’s growth stalled in 2024, and deliveries fell 8.5% in 2025. But those headline numbers hide what is happening beneath the surface. When the data is broken down by political orientation and by changes in views of Musk, a more complicated pattern emerges. Among right-leaning respondents and those whose opinion of Musk has improved, Tesla’s brand appeal is significantly higher and willingness to pay exceeds that for many competing brands, including Ford, Chevrolet, and Rivian. Among left-leaning consumers and those whose view of Musk has worsened, the opposite is true: Preference and willingness to pay for Tesla drop sharply. The outcome is not a uniform decline but a polarization of demand. Some consumers appear to feel alienated, while others feel more aligned with the brand. This raises an important strategic question of whether companies can influence purchasing decisions across these divided segments by strengthening the underlying value proposition.
Sky Sports apologises after Erling Haaland calls Bernardo Silva ‘F—ing Cannavaro’
Haaland referenced the Ballon d'Or-winning centre-back after a crucial defensive header from City captain Silva in the win over Arsenal.
Pixel Laptop: Return of Google Pixelbook laptops spotted in new OS release
Google continues to add features to Android 17 through its beta program. While many relate to the company's high-end smartphones, Android 17 Beta 4 also contains references to a mysterious new Pixel laptop.
Pixel Glow 'visual feedback' tool might just hint at big Pixel 11 hardware changes
Is Google bringing rear RGB lights to the Pixel 11 series? References to a "Pixel Glow" tool in Android 17 Beta 4 raise the possibility.
Chargé Arnold Speech - Implementation Plan of Five-Year Health MOU - U.S. Embassy in Madagascar
Chargée d’Affaires Stephanie Arnold's Speech Discussion on the implementation plan for the five-year health Memorandum of Understanding (…) Colleagues, and honored guests, Good morning, and welcome to the United States Embassy. It is a pleasure to host you today for the second day of this important workshop to discuss the implementation of our bilateral health Memorandum of Understanding on U.S. Government health activities in Madagascar, made possible through the Trump Administration’s America First Global Health Strategy. Today’s focus— discussing a shared vision and developing a preliminary draft for the health MOU Implementation Plan and the terms of reference for the two committees that will steer its implementation—is a decisive step in moving from commitments on paper to concrete action over the next five years. On December 22, 2025, the Governments of Madagascar and the United States signed a five-year bilateral health MOU, with a financial intention of approximately 554 billion Ariary from the United States and This jointly decided MOU intends to strengthen Madagascar’s health system, support lifesaving services, and improve disease prevention and response that matter to both our countries’ health security. For the United States, this means detecting and containing infectious disease outbreaks including malaria, polio, and emerging health threats before they can reach American shores through international travel and trade, protecting American families while reducing the need for costly domestic emergency responses Yesterday, technical experts from the Ministry of Public Health and the U.S. Government worked in thematic groups to draft a preliminary Implementation Plan. Today, your task is to review the shared vision and preliminary draft MOU implementation plan, and the proposed terms of reference for the Joint Steering Committee and the Operational Committee that will guide its implementation. These committees are not just administrative structures. They are the mechanisms that will ensure clear roles and responsibilities, regular dialogue between our two governments, consistent monitoring of progress, and real accountability for the results that will directly benefit the lives of Malagasy citizens. They will also track performance against the benchmarks we have jointly established, which will guide the continuation of U.S. support over the five-year period . Continued U.S. support will be contingent on meeting these performance benchmarks. This ensures accountability to both American and Malagasy taxpayers and guarantees that our partnership delivers measurable results. America First Foreign Assistance means that U.S. support must be strategic, results-driven, and accountable to our taxpayers. It also means we aim to support greater self-reliance and reduced long-term dependence on foreign assistance, with systems that are increasingly financed and led by Madagascar itself. This approach benefits both our nations: Madagascar gains sustainable health capacity, while the United States advances our health security interests and creates opportunities for American health innovations and companies to support Madagascar’s development. In that spirit, I want to recognize the presence of the Ministry’s leadership and the technical directors and program heads responsible for surveillance, basic health services, family health, immunization, countering malaria, laboratories, medicines, and health information systems. Your leadership and technical expertise are essential if this bilateral health MOU is to translate into real and lasting improvements for people in need across the country. Let me emphasize how important collaboration is to the United States in this effort. We can bring American resources, technical expertise, and tools. But this bilateral health MOU can only succeed if it reflects Madagascar’s priorities and if Malagasy institutions lead and maintain its implementation. We see this not as a U.S. project, but as a joint framework under Malagasy leadership, with U.S. support. That is why we are genuinely pleased to host this event here at the Embassy. Opening our doors to you today symbolizes our commitment to work side by side and to remain transparent about how we use U.S. resources in support of Madagascar’s health system. In closing, thank you for your time and your partnership. We are very happy to welcome you here and proud to accompany Madagascar in this next step of implementation planning for our bilateral health MOU. I wish you a productive and focused session. The work you do today will shape how our two governments cooperate on health in the years ahead; it will influence the quality and reliability of health services that Malagasy communities receive; and, most importantly, it will help protect both our nations from infectious disease threats while building Madagascar’s capacity for long-term health system sustainability. Thank you.
United States and Madagascar Discuss Five-Year Health MOU Implementation Plan - U.S. Embassy in Madagascar
United States and Madagascar Discuss Five-Year Health MOU Implementation Plan The United States and Madagascar’s Ministry of Public Health are in the process of developing a plan for implementing the U.S.-Madagascar five-year Memorandum of Understanding (MOU) on health cooperation, signed under the Trump Administration’s America First Global Health Strategy. The two-day workshop, at the U.S. Embassy in Antananarivo, brought together technical experts and senior leadership from the Malagasy and U.S. governments to discuss a shared vision through a preliminary draft MOU Implementation Plan and to establish the joint governance structures that will guide U.S. foreign assistance in health over the next five years. The jointly decided bilateral health MOU, signed on December 22, 2025, builds on decades of U.S. global health assistance to Madagascar. The health MOU involves the U.S.’s plans, working with Congress, to provide approximately $134 million (over 554 billion Ariary) and a Malagasy commitment of $41 million (over 169 billion Ariary). It aims to strengthen Madagascar’s health system, improve disease prevention and response, and support services that address health security concerns for both countries, including malaria, maternal and child health, polio, and global health security issues that could reach U.S. shores if not contained at their source. During the recent workshop, technical staff from the Ministry of Public Health and the U.S. Government health team worked in thematic groups to draft detailed implementation plans for the five-year MOU period. On the second day, U.S. Chargé d’Affaires Stephanie Arnold and Ministry of Public Health and Economic and Finance Ministry leadership joined the technical teams to discuss plans and proposed terms of reference for two committees: a Joint Steering Committee and an Operational Committee. These structures will ensure clear roles and responsibilities, regular dialogue between the two governments, consistent monitoring of progress, and accountability for results. The framework includes performance benchmarks that will guide continued U.S. support and track Madagascar’s progress toward self-reliance. “We see this not as a U.S. project, but as a joint framework under Malagasy leadership, with U.S. support,” said U.S. Chargé d’Affaires Stephanie Arnold during the workshop’s opening session. The approach reflects U.S. foreign assistance principles that emphasize strategic, results-driven support that advances American interests while helping recipient countries build sustainable health systems. The framework is designed to build systems that Madagascar will increasingly finance and lead itself, reducing long-term dependence on foreign assistance.
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“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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Viewpoint: FP10 should remain open, excellent and secure
Europe is right to worry about research security. Foreign interference is real. So is the misuse of sensitive knowledge. Universities working in sensitive areas such as AI, quantum, semiconductors and advanced materials cannot afford to ignore the geopolitical environment around them.But Europe is in danger of drawing the wrong conclusion, one that would increase, not reduce, its strategic vulnerabilities.If the EU applies an “EU preference” logic to the next Framework Programme for research and innovation (FP10), it will weaken one of its greatest strategic assets: a research system built on openness, excellence and international collaboration. In the name of security, Europe could end up advancing science more slowly, innovating less effectively and making itself less attractive to global talent and partners in advanced science and technology.That would be a serious mistake.The EU preference included in Article 10 of the proposed European Competitiveness Fund may make sense in some industrial or deployment contexts, but is far harder to justify when applied to collaborative research in advanced science and technology, where excellence and global connectivity are crucial. Research is not procurement. It does not thrive when isolated. It advances through access to the best ideas, the best people, the best facilities and the best data, wherever they are found. This is why FP10 should not simply absorb industrial policy logic by default. Doing so would risk importing instruments that are ill-suited to research and that ultimately increase vulnerability rather than resilience.For universities of science and technology, the issue is especially acute. These institutions sit at the frontier of knowledge and technology creation in the very fields Europe sees as critical for its future competitiveness and resilience. They know better than most that security risks are real. But they also know that openness and security are not opposites. In practice, they have to be made to work together. Research security is not about closing doors. It is about building resilience through collective responsibility, trust, proportionate safeguards and better governance. That is a fundamentally different approach from default restriction.The risks of non-collaborationThe real danger in the current debate is that Europe talks too much about the risks of collaboration and not enough about the risks of non-collaboration. Those risks are strategic too. Cut researchers off from international networks and Europe loses access to knowledge, data, infrastructures and talent. Slow down global collaboration in critical technologies and Europe slows down its own progress on cutting-edge science. Make participation rules unpredictable and Europe weakens its attractiveness to researchers and investors alike.In other words, over-restricting collaboration will create strategic vulnerabilities, particularly in advanced science and technologies.This point is often underestimated in policy discussions that frame openness mainly as a value to be defended. Europe’s scientific strength, technological development and long-term competitiveness depend on remaining connected to the best research ecosystems in the world. For a continent that wants to accelerate deep tech, strengthen industrial capacity and reduce strategic dependencies, weakening the excellence base would be self-defeating. That does not mean ignoring risk. Quite the opposite. Universities are already strengthening due diligence, internal governance, awareness-raising, screening procedures and compliance support. Across Europe, institutions are working to manage risks linked to foreign interference, sanctions, export controls and the misuse of research. The right response is not complacency. It is better risk management. But that means targeted, evidence-based and proportionate measures, not blunt top-down restrictions with wide spillover effects. In the daily reality of universities, openness and restriction often coexist. The real challenge is how to apply safeguards without sliding into securitisation that damages academic freedom, open science and international cooperation. Restrict partners, not nationsMore restrictive treatment of collaborators from European Economic Area members Iceland, Liechtenstein and Norway, or from Switzerland and the UK, is strategically very difficult to justify. These are deeply embedded partners in Europe’s research and innovation ecosystem. Beyond that, Europe should still resist default exclusion and instead rely on case-by-case assessment. The relevant question is not nationality in the abstract. It is the actual risk profile of a collaboration: the institution, the affiliations, the field, the knowledge involved, the intended use and the safeguards available. Screening should focus on institutions and affiliations rather than nationality alone. Related articlesParliament ‘misreads’ link between Horizon Europe and ECF, Commission official saysFrustration grows at governance gap in next Horizon EuropeIf EU preference logic is imported into research without careful calibration, the likely result is a chilling effect. Researchers may step back from legitimate and beneficial collaboration, even where risks are manageable. International partners may see Europe as less predictable. And Europe may end up undermining the very excellence base it needs to compete, scale up and lead in strategic technologies, thereby increasing its dependence on others.FP10 should do the opposite. It should remain open by default, with restrictions used only exceptionally, and then on the basis of clear evidence. It should integrate research security into open science and research integrity frameworks, not set them against each other. And it should recognise that academic freedom, scientific excellence and responsible international collaboration are not obstacles to Europe’s security, they are part of it. Europe needs stronger tools to protect itself. But it also needs the discipline to avoid measures that would weaken it and increase its strategic vulnerabilities in the process. In FP10, that means staying open, excellent and secure.Louise Drogoul is senior advisor for innovation and sustainability at the Cesaer university association.
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Recent public health emergencies—including the COVID-19 pandemic, recurrent zoonotic disease outbreaks, and the high level of antimicrobial resistance—have underscored the urgent need for strong, multisectoral field epidemiology capacities. This reinforces the importance of a workforce equipped with One Health field epidemiology competencies. To address this need, WHO works with the Food and Agriculture Organization of the United Nations (FAO), the United Nations Environment Programme (UNEP), and the World Organisation for Animal Health (WOAH), as part of Quadripartite Alliance for One Health, to strengthen field epidemiology training programmes using a One Health approach.These efforts are aligned with WHO SEARO’s Strategic Framework for Action for Strengthening Surveillance, Risk Assessment and Field Epidemiology and the Regional Roadmap to Advance Field Epidemiology Capacities 2025–2029 emphasize workforce development, multisectoral collaboration, and enhanced preparedness for health emergencies. With funding from the Pandemic Fund, The Competency for One Health Field Epidemiology (COHFE) integration within Field Epidemiology Training Programmes (FETPs) or similar initiatives has been initiated in Bangladesh and India and is planned in Sri Lanka.BangladeshIn Bangladesh, COHFE is being adapted to strengthen the Field Epidemiology Training Programme, Bangladesh (FETP-B) Advanced programme. Initiated in July 2025 and led by the Institute of Epidemiology, Disease Control and Research (IEDCR), the process brought together stakeholders from human, animal, and environmental health sectors, academia, and laboratories.A Multisectoral Working Group (MWG) was established to guide implementation, conduct readiness assessments, and identify opportunities to institutionalize One Health collaboration. Through national multisectoral consultations and a competency prioritization workshop held in Dhaka in November 2025, stakeholders identified priority technical competencies for surveillance, outbreak investigation, data analysis, and risk assessment, alongside functional competencies related to leadership, coordination, and the laboratory–epidemiology interface. The process also surfaced systemic barriers—such as challenges in data sharing and limited joint investigations—enabling targeted recommendations. These outcomes are guiding curriculum revision, the introduction of One Health simulations and joint field exercises, and the development of a national multisectoral mentorship pool, with updated training materials expected to be implemented in the upcoming cohort.Figure 1. Competency prioritization involving multisectoral stakeholders“COHFE represents a significant step forward in operationalizing the One Health approach. The collaboration between national institutions and the Quadripartite partners is critical for building resilient systems to address complex health challenges in the region.”, Prof. (Dr) Tahmina Sirin, Director, Institute of Epidemiology, Disease Control and Research (IEDCR), Bangladesh.Aligning India’s One Health Training with COHFEIn India, the National Centre for Disease Control (NCDC) has strengthened One Health workforce development through its SectorConnect initiative. WHO supported a comprehensive competency mapping and curriculum review to align the Field Epidemiology Programme in One Health (FEP-OH) with all 14 COHFE domains. The review identified strong foundations while generating actionable recommendations to strengthen One Health learning outcomes, expand joint field-based learning, and enhance competency-based assessment. These improvements are informing programme refinement and phased scale-up across additional states.Figure 2. Strengthening learning outcomes for the SectorConnect FEP OH CurriculumThrough these efforts, WHO SEARO will continue to support countries to move from separate sector-based training toward an integrated, impact-driven One Health field epidemiology workforce capable of addressing complex health threats at human-animal-environment interface.ReferencesFood and Agriculture Organization of the United Nations, World Health Organization, & World Organisation for Animal Health. (2024). Competencies for One Health field epidemiology (COHFE) framework. https://www.who.int/publications/i/item/9789240080058World Health Organization. (2023). Strategic framework for action for strengthening surveillance, risk assessment and field epidemiology for health security threats in the WHO South-East Asia Region. WHO Regional Office for South-East Asia. https://www.who.int/publications/i/item/9789290210030World Health Organization. (2024). Regional roadmap to advance field epidemiology capacities in the WHO South-East Asia Region 2025–2029. WHO Regional Office for South-East Asia. https://www.who.int/publications/i/item/9789290229544
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PRET for impact: Advancing pandemic preparedness in the Democratic People’s Republic of Korea
IN THE SPOTLIGHT PRET for impact: Advancing pandemic preparedness in the Democratic People’s Republic of KoreaThe Democratic People’s Republic of Korea (DPR Korea) is making significant progress in strengthening pandemic preparedness, with dedicated support from the WHO South‑East Asia Regional Office (SEARO) and the Pandemic Influenza Preparedness (PIP) Partnership Contribution (PC).Aligned with the WHO Global Influenza Strategy and the Pandemic Influenza Preparedness (PIP) Framework Partnership Contribution High‑Level Implementation Plan III (2024–2030), the country is strengthening its capacity to prepare for and respond to influenza and other respiratory threats. In early 2025, a core team from the Ministry of Public Health of the Democratic People’s Republic of Korea (DPRK) participated in a two‑day virtual workshop, which included a mini‑simulation exercise. The workshop was organized by WHO SEARO in collaboration with the Preparedness and Resilience for Emerging Threats (PRET) Secretariat at WHO headquarters and the WHO Country Office for the DPRK. Read more A REGIONAL CONSULTATION GUIDES WHO SEARO IN DEVELOPING A ROADMAP FOR IMPLEMENTING THE PREPPAREDNESS AND RESILIENCE FOR EMERGING THREATS (PRET) INITIATIVE BASED RESPIRATORY PATHOGEN PANDEMIC PREPAREDNESSInfluenza and other respiratory pathogens with pandemic potential continue to pose major public health risks globally. To strengthen regional preparedness and response, Member States of the WHO South‑East Asia Region (SEAR) convened in Colombo, Sri Lanka, to review and provide input on the draft Roadmap and Action Framework for Broad Respiratory Pathogen Pandemic Planning (2026–2031). Supported through the Pandemic Influenza Preparedness (PIP) Partnership Contribution (PC) funds, the proposed roadmap aims to advance robust, integrated preparedness and response capacities for influenza and other respiratory threats across SEAR. This work is aligned with the Preparedness and Resilience for Emerging Threats (PRET) initiative and the SEAR Strategic Roadmap on Health Security and Health System Resilience for Emergencies Read moreSRI LANKA’S USE OF ANTIVIRALS TO REDUCE THE SEASONAL INFLUENZA BURDEN Sri Lanka is strengthening its influenza response by placing greater emphasis on rapid testing, timely treatment, and integration with maternal health services. With support from WHO, the country is building a stronger evidence base on the burden of influenza and the value of vaccination, advancing a holistic approach to protect vulnerable populations and enhance pandemic preparedness. To reduce hospitalizations and deaths from seasonal influenza, Sri Lanka is taking proactive steps to expand access to rapid diagnostic testing and ensure prompt initiation of treatment. National clinical guidelines recommend the use of oseltamivir for individuals at high risk of complications, helping prevent severe illness and shorten the duration of infection. This strategy not only saves lives but also supports local pharmaceutical production, contributing to a reliable supply of antivirals for both seasonal outbreaks and future pandemics.Read moreBHUTAN BOOSTS PANDEMIC INFLUENZA READINESS WITH PANDEMIC INFLUENZA PREPAREDNESS FRAMEWORK PARTNERSHIP CONTRIBUTION SUPPORTED TRAINING AND SIMULATIONSOriginally developed in 2012, the National Influenza Pandemic Preparedness and Response Plan (NIPPRP) has long served as Bhutan’s central framework for managing influenza threats. In 2024, the plan underwent a comprehensive update to reflect evolving global and regional guidance, lessons learned from the COVID‑19 pandemic, and new capacities developed under the PIP Framework. The revised NIPPRP is now more clearly aligned with Bhutan’s broader emergency and disaster risk management structures, ensuring a coordinated, whole‑of‑government approach to pandemic response. As part of efforts to strengthen national pandemic preparedness, Bhutan conducted three national‑level training sessions followed by simulation exercises on influenza pandemic preparedness and response at five sentinel hospitals between April and May 2025, with support from the PIP Partnership Contribution (PC). These activities brought together more than 140 health professionals and key partners from across the country, with a focus on operationalizing the updated NIPPRP and enhancing readiness at key frontline facilities. Read moreSTRENGTHENING INFLUENZA SURVEILLANCE: WHO BRINGS TOGETHER INFLUENZA EXPERTS FROM SOUTH-EAST ASIA AND WESTERN PACIFIC REGIONSThe World Health Organization (WHO) convened the 18th Bi‑regional Meeting of National Influenza Centres (NICs) and Influenza Surveillance for the WHO South‑East Asia and Western Pacific Regions from 9–11 September 2025. Hosted by the WHO South‑East Asia Regional Office (SEARO), the meeting brought together representatives from Member States, Territories, and Areas across both regions, alongside experts from the WHO Collaborating Centres for Reference and Research on Influenza in Australia and Japan, the WHO Collaborating Centre for Studies on the Ecology of Influenza in Animals in the United States, quadripartite partners (WOAH and FAO), and other technical counterparts. The consultation provided a platform to review progress, share experiences, and outline priorities for strengthening influenza and respiratory pathogen surveillance across the two WHO regions.Read moreNETWORKS AND TECHNICAL PARTNERSHIPSSTRENGTHENING PANDEMIC READINES: SOUTH-EAST ASIA ADVANCES UNITY STUDIES UNDER THE PANDEMIC INFLUENZA PREPAREDNESS INITIATIVEThe WHO Global Influenza Surveillance and Response System (GISRS) Investigations & Studies initiative, also known as Unity Studies, provides a standardized, globally coordinated framework to support these efforts. Originally developed for influenza and adapted during COVID-19, Unity Studies enable countries to conduct rapid, nationally led investigations and studies to assess transmissibility, severity, susceptibility, and intervention effectiveness. To better prepare for future influenza pandemics, WHO has recently launched a network of sites which will be ready to conduct these investigations and studies rapidly in the event of a pandemic, or epidemic of an emerging or re-emerging respiratory pathogen. The WHO South-East Asia Region now hosts six sites of WHO GISRS Unity Studies across the five countries including Sri Lanka, strengthening regional capacity for early pandemic investigations. From 13–16 July 2025 in Colombo, the Global Public Health Summit offered an opportunity to advance this agenda. Read moreSTRENGTHENING PANDEMIC PREPAREDNESS THROUGH UNITY STUDIES: REAL-WORLD APPLICATIONS FROM INDIA IN WHO’S SOUTH-EAST ASIA REGION As countries continue to strengthen their pandemic preparedness through investments in resilient health systems during the interpandemic period, the World Health Organization’s (WHO) Global Influenza Surveillance and Response System (GISRS) Investigations & Studies Global Initiative, Global Initiative, commonly known as Unity Studies, remains a vital framework for respiratory pathogen pandemic preparedness. These standardized epidemiological protocols enable countries to rapidly generate high‑quality data on transmissibility, infection severity, population immunity, and the effectiveness of public health interventions. To highlight how Unity Studies protocols are being adapted and applied in national settings, WHO Headquarters, together with WHO Regional Offices, including the WHO South‑East Asia Regional Office (SEARO), hosted a global webinar. The session showcased case studies from India and the United Kingdom (UK), demonstrating innovative approaches to respiratory virus surveillance and pandemic readiness. Read moreSTRENGTHENING REGIONAL INFLUENZA SURVEILLANCE AND PREPAREDNESS: WHO SEARO HOSTS HIGH-LEVEL WEBINAR AMID RISING H5 THREATS In response to the increasing detection of avian influenza A(H5) cases in humans globally and within the WHO South‑East Asia Region, the WHO Regional Office for South‑East Asia (SEARO) convened a regional webinar on 25 July 2025 to review preparedness mechanisms, strengthen surveillance pathways, and promote timely reporting of unusual respiratory events. The virtual session brought together more than 50 participants from Ministries of Health, National Influenza Centres (NICs), National IHR Focal Points (NFPs), WHO Headquarters, WHO Country Offices across the Region, and WHO Collaborating Centres (CCs) for influenza. The webinar provided an opportunity to share situational updates, discuss surveillance gaps, and reinforce coordination mechanisms critical for early detection and rapid response to avian influenza threats. Read moreOther Key PIP Updates (July-December 2025)MEMBER STATES:Bangladesh drafted and conducted a series of Core Group Meetings in 2025 to review and update the National Pandemic Preparedness and Response Plan for Respiratory Pathogens. In addition, the country carried out Rapid Response Team (RRT) trainings on seasonal and avian influenza and other re‑emerging infectious diseases. Bangladesh also updated its epidemiological data‑training programme for physicians at sentinel surveillance sites, using a revised epidemiological data‑collection tool.Bhutan revised and updated its National Influenza Pandemic Preparedness and Response Plan (NIPPRP) in 2025 and developed a national Standard Operating Procedure (SOP) for influenza outbreak management. DPR Korea conducted a nationwide simulation exercise in July 2025 to support the update of its National Influenza Pandemic Preparedness Plan (2019). This followed a PRET‑based virtual orientation and mini‑simulation exercise held in May 2025 by SEARO and the WHO PRET Secretariat. The comprehensive exercise, conducted across central and provincial levels, assessed strengths and gaps in pandemic influenza preparedness and response. The feedback gathered has been incorporated into the revised draft plan to address identified weaknesses and strengthen overall readiness.India conducted a targeted nationwide online re‑orientation training on review and updates to the influenza portal for all State Surveillance Officers (SSOs) and relevant officials using the Integrated Health Information Platform (IHIP). The training emphasized correct marking and reporting of influenza samples as “unsubtypable” or “not subtyped” where applicable, to ensure accurate national surveillance.Maldives conducted simulation exercises in three atolls based on its existing National Pandemic Preparedness and Response Plan (NPPRP). The country plans to conduct similar exercises in three additional atolls after updating the NPPRP in 2026. In addition, Maldives conducted training on FluID and FluMart as part of a broader data‑management training package for Ministry of Health and Health Protection Agency officials, aimed at improving routine reporting to WHO platforms and the DHIS2 system.In Myanmar, technical support was provided to the National Influenza Centre (NIC) through dedicated human‑resource support (January–December 2025) to sustain data management and laboratory detection capacity for influenza and other emerging and re‑emerging respiratory viruses. This support also included strengthening genomic sequencing capacity.Nepal conducted a consultative workshop on the National Pandemic Preparedness and Response Plan (NPPRP) in July 2025. The workshop engaged key stakeholders from multiple sectors to review lessons from past pandemic responses, assess current mechanisms, and gather critical inputs for strengthening national preparedness. Key recommendations included revising the 2019 NPPRP and developing an updated Influenza Pandemic Preparedness Plan aligned with emerging risks, national priorities, and relevant international frameworks. Nepal also held a two day workshop dedicated to advancing the National Action Plan for Genomic Surveillance, aimed at reinforcing the country’s capacities for early detection and monitoring of emerging respiratory pathogens.Sri Lanka received the final report from WHO on the feasibility assessment for conducting an Influenza Burden of Disease (BoD) study in the country. The assessment, conducted from 28 April to 9 May 2025, included a desk review of existing data sources, document review, visits to sentinel surveillance sites, and key informant interviews. The study identified critical data sources required for a future BoD assessment, as well as their availability and quality. Officials from the Epidemiology Unit, the National Influenza Centre (NIC), and SARI/ILI sentinel hospitals across the country participated in the assessment.Timor Leste conducted on‑the‑job training and monitoring activities at two sentinel surveillance sites to strengthen surveillance and laboratory capacity for the detection of SARI, ILI, ARI, and other respiratory infections. REGIONAL OFFICE:SEARO conducted a Member States Consultation on the first draft of the Regional Roadmap and Strategic Action Framework for implementing WHO’s PRET‑based broad respiratory pathogen pandemic planning for 2026–2031. The consultation took place on 29–30 October 2025 during the final two days of the Regional PIP PC Annual Review and PRET Meeting in Colombo, Sri Lanka. Participants included representatives from Member States, WHO Country Offices, WHO SEARO, WHO Headquarters, partner agencies, and invited multidisciplinary technical experts. They reviewed the draft and provided detailed feedback, which has since been incorporated into a revised version. The consultation helped shape a shared regional vision for robust, PRET‑aligned pandemic preparedness, building on country‑level progress, addressing existing gaps and challenges, and aligning with global and regional health security frameworks. The publication is planned for release during the SEAR regional committee in 2026.SEARO documented the evolution of the National Influenza Pandemic Preparedness Planning process in the Region, tracing its development from its origins as a planning tool for responding to avian influenza outbreaks in 2006, through the experiences of the 2009 and 2019 pandemics, to the current status. The document outlines the way forward for respiratory pathogen pandemic planning across all 10 SEAR countries, aligning future national plans with WHO’s PRET Framework for broad respiratory pathogen pandemic preparedness.The Infectious Hazard Management (IHM) Unit has drafted the WHO South‑East Asia Regional Guidance on Influenza Prevention and Control, aligned with the Global Influenza Strategy and other regional initiatives. The draft is currently under review. Although this technical product was developed in response to a request from the Ministry of Public Health of the Democratic People’s Republic of Korea (MoPH‑DPRK), SEARO is finalizing it for use not only in DPRK but also across all Member States in the Region.The Immunization and Vaccine Development (IVD) Unit, in collaboration with WHE/SEARO, completed a regional landscape analysis on key barriers, challenges, and opportunities for the introduction of seasonal influenza vaccination in WHO South‑East Asia Regional (SEAR) countries.Additionally, the Immunization and Vaccine Development (IVD) Unit has completed a regional landscape analysis of influenza vaccine procurement systems across the WHO South‑East Asia Region (SEAR).KEY MEETINGS AND PUBLICATIONSMEETINGS:Six-month progress review of the implementation of the PIP-PC workplans in SEAR, focusing on Outputs 1 and 2 for the period January to June 2025, and held virtually across three sessions on 4, 8, and 10 July 2025. Read moreAnnual Regional Meeting (Hybrid) on Pandemic Influenza Preparedness (PIP) Partnership Contribution (PC) and WHO’s Preparedness and Resilience for Emerging Threats (PRET) Implementation in SEAR in Colombo, Sri Lanka, 27 to 30 October 2025. Read more18th Bi-regional Meeting (Virtual) of National Influenza Centres (NICs) and influenza surveillance in WHO South-East Asia and Western Pacific Regions from 9 to 11 September 2025. Read morePUBLICATIONSImplications of influenza A virus surveillance in Southeast Asian Region countries: a scoping review of approaches for the surveillance of swine influenza viruses at human-swine interfaces. Read moreAnnual South-East Asia regional meeting on operational planning for implementation of global influenza strategy and preparedness for respiratory viruses in 2025 Report on annual review meeting of implementation of pandemic influenza preparedness (PIP) partnership Contribution (PC) Fund in South-East Asia Region and the simulation exercise on PRET Status of influenza in who south-East Asia Region
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A marketplace where labels blur In many bookstores, titles rooted in clinical science sit inches from glossy self-help guides promising instant serenity. That proximity can make rigorous research look interchangeable with lifestyle advice, especially when everything shares the same bright displays. Readers encounter a single aisle labeled “psychology,” even when the content ranges from peer-reviewed evidence to spiritual rituals. The result is a subtle but pervasive blur, turning a complex health landscape into a grab-bag of mixed claims. Why the shelves can mislead Retail categories are built for convenience, not for methodological clarity or clinical accuracy. When “development personal” or “wellness” becomes the default bin, evidence-based psychology competes with coaching manifestos and mystical manuals. The visual language of covers—calming color palettes, confident subtitles, glowing endorsements—flattens the distinction between randomized trials and anecdotal wisdom. In that aesthetic harmony, a guide on cognitive behavioral therapy may appear no more “serious” than a book on moon manifestation. The stakes for readers and patients Confusion carries real risks, including delayed care when people self-treat serious symptoms with untested routines. Vulnerable readers—facing depression, trauma, or anxiety—may be swayed by charismatic voices over careful data. Some messages frame recovery as pure willpower, which can amplify shame when symptoms persist despite effort. Others overpromise universal solutions, ignoring cultural context, diagnostic nuance, and comorbidity. “Shelving is not neutral; it shapes beliefs, expectations, and choices.” What professionals and retailers are asking Clinicians and public-health experts argue for clear, readable signage that separates science-based mental health from broader wellness. Books by licensed psychiatrists or psychologists that cite peer-reviewed studies could be grouped under “Evidence-Based Mental Health.” Adjacent space might host reflective memoirs, coaching workbooks, or contemplative philosophy—valuable in their way, but clearly labeled as non-clinical guidance. Booksellers emphasize their dual role as cultural curators and commercial actors, noting they respond to demand while striving for quality standards. How clarity could look and feel The goal is not to police ideas, but to help readers navigate with confidence. Transparent categorization respects reader autonomy while lifting the signal of credible practice. Clear tags—such as “scientific references,” “clinical overview,” or “personal narrative”—can work like map legends, turning a maze into a route. And when a book blends modes, hybrid labels can acknowledge both insight and limitation. A practical checklist for choosing wisely Check the author’s credentials: clinical license, academic affiliation, or relevant training. Scan the references: citations to peer-reviewed journals or reputable guidelines. Look for scope limits: clear statements about who the book is and isn’t for, and when to seek care. Seek methods, not miracles: approaches tested across diverse groups, with measurable outcomes. Watch the language: be wary of absolute claims, stigmatizing tones, or one-size-fits-all promises. Cross-verify with trusted bodies: national psychology associations or public-health agencies. The publisher’s responsibility Publishers can raise the bar by standardizing disclosure on methods, sample sizes, and limitations. Editorial policies could require conflict-of-interest statements, transparent citations, and plain-language summaries of evidence. Marketing should avoid medicalized framing for books that lack clinical validation, even when sales incentives press for bold claims. When a manuscript mixes reflection with research, honest jacket copy can prevent false equivalence. Coexisting without confusion Wellness writing can offer genuine comfort, perspective, and daily habits that support well-being. Scientific texts can provide structured tools, validated therapies, and realistic expectations for progress. The aim is to let these strands coexist, while giving readers the navigational cues to tell them apart. With clearer shelves, informed labels, and modest design tweaks, we can protect reader trust—and keep the aisle both inviting and intelligent.
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