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A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
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Global Health & WASH
The US National Institutes of Health reopened its center and program-project machinery in force. NIGMS is funding Collaborative Program Grants for interdisciplinary teams, NIAID opened both its Immune Tolerance Network and a next-generation R&D call, the NCI runs its Carcinogen Hazard Assessment Monographs program, the National Library of Medicine is funding institutional training in biomedical AI and data science, and NIH reopened its Centers for AIDS Research. The tell: these pay for standing centers and multi-year consortia at institutions with an existing funded research base, not one-off projects, so the fit is an established US research institution, not a single investigator. Disease-specific foundations are again funding the researcher, not just the research. The Parkinson’s Foundation opened its Paul Oreffice Innovations in Care Award and the National Ataxia Foundation its Research Seed Money Grant. The tell, the same one we flagged last cycle, is a named early-career or seed award that builds a pipeline of scientists committed to one condition, so what wins is a researcher willing to specialize. The post-USAID global-health money is routing through a State Department program statement and multilateral innovation funds. The US Department of State’s Bureau of Global Health Security and Diplomacy opened its Advancing Global Health Annual Program Statement, Grand Challenges Canada opened Nexa Lighthouse for climate and health innovation in Asia and the Pacific at USD $250,000 to $2,000,000, and CEPI opened a rolling call on vaccine-manufacturing analytics. The tell: the largest health money this cycle sits in a standing program statement and in staged innovation vehicles, not in a single bilateral grant. Total Estimated Funding Pool: ~$35.4M across discrete grants. (Separately, large national-formula envelopes not counted in this total: U.S. Department of State, Bureau of Global Health Security and Diplomacy (GHSD).) 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. New opportunities: Paul Oreffice Innovations in Care Award, Parkinson’s Foundation. *New!* *Closing soon!* The Parkinson’s Foundation created the Paul Oreffice Innovations in Care Award to fund clinicians rethinking how people with Parkinson’s disease receive care. The Foundation is using pilot funding to move promising ideas into testable projects, backing work across four lanes: strengthening community clinician capability, redesigning care models, building patient-centered technologies, and defining the minimum clinical datasets that make better standards possible. It wants hypothesis-driven, clinically grounded projects that can generate evidence strong enough to attract further funding. By opening the door to clinicians at every career stage and strongly preferring projects that involve people with Parkinson’s in their design, the Foundation signals that it values practical, patient-shaped innovation over prestige. The strongest fits are US-licensed clinicians with a focus on Parkinson’s and an institutional home for applied care research. Geographies: united states. Who can apply: Clinicians of all career stages, from fellows to established faculty, who are licensed to care for patients in the United States and have a significant focus on Parkinson’s disease. Physicians must have completed a neurology residency (or justify how their training pathway benefits people with PD); allied health professionals must hold an advanced degree, typically a PhD. Fellows, those in mentored positions, and those within two years of starting an independent position require a mentor and a mentor support letter. The sponsoring institution’s grants office is the authorized recipient and funds are disbursed to the institution. Funding amount: Maximum of $200,000 over two years; up to three awards. Targeted Sectors / SDGs: Health; Innovation; Science & Technology. Deadline: November 1, 2026. Learn more and apply here. Design and Deliver the Next EIT Health Bootcamps, EIT Health. *New!* *Closing soon!* EIT Health is opening its call for consortia to design and deliver the next generation of its health start-up bootcamps, funding the curriculum, masterclasses, mentoring, and investor engagement that turn early health ventures into fundable companies. The organization is using these learning paths to strengthen Europe’s health innovation pipeline across digital health evidence, deep tech and AI commercialization, cross-border investment, and patient access. What EIT Health wants to back is not a single course but durable delivery capacity built by partners who span industry, education, and research. Requiring multi-country consortia and a revenue-sharing stake in the programs signals that EIT Health expects these bootcamps to outlast the grant. The strongest fits are established training providers, universities, and industry partners with proven reach into health entrepreneurs. Geographies: Europe. Who can apply: Consortia only (individuals cannot apply), comprising a minimum of two and a maximum of five independent legal entities. Partners must cover at least two sides of the Knowledge Triangle (industry, education, research), including at least one industry organisation, and at least two entities must be legally established in different Horizon Europe countries. Funding amount: Foundational Learning Path: up to EUR €112,000; Thematic Learning Paths: up to EUR €124,500 per path (up to four thematic projects); up to EUR €610,000 total EIT Health funding available under the call. Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. Technology Transfer Offices & Entrepreneurship Support Call (Beyond the Lab: From Research to Venture), EIT Health. *New!* *Closing soon!* EIT Health is opening its Technology Transfer Offices and Entrepreneurship Support Call to fund consortia that will deliver the Beyond the Lab: From Research to Venture program for healthcare researchers. EIT Health is using the grant to build local capacity for turning laboratory science into incorporated start-ups, paying experienced technology transfer offices and entrepreneurship support providers to run masterclasses, structured mentoring, and a closing Pitch Day across two cohorts. It wants to back organizations that can walk researchers from discovery to company formation, not just teach theory. Requiring two transfer offices plus one venture-building provider signals that EIT Health values proven commercialization experience alongside academic reach. The strongest fits are European research-commercialization teams with a track record of moving health innovations toward investable ventures. Geographies: Europe. Who can apply: A consortium of two Technology Transfer Offices (representing higher education institutions or research organisations) and one Entrepreneurship Support Provider with demonstrated experience in venture building and start-up support. Applicants may apply for more than one learning path where they can demonstrate the required expertise and capacity for each. Funding amount: Up to EUR €77,000 in 2027 and up to EUR €77,000 in 2028 (up to EUR €154,000 total per consortium over two years). Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. EIT Health RIS Country Representatives Call (2027-2028), EIT Health. *New!* *Closing soon!* EIT Health is seeking organizations to serve as Country Representatives across eleven Regional Innovation Scheme countries in central and eastern Europe for the 2027 to 2028 period. The money funds a national anchor in each country, an organization that maps the local health innovation ecosystem, connects startups and researchers to EIT Health programs, and builds the stakeholder relationships that let health ventures grow. EIT Health is backing local capacity rather than individual projects, which is why it accepts both single organizations and national consortia that span education, research, and industry. The requirement for co-financing signals that it wants representatives already embedded in their national systems. The strongest fits are established ecosystem builders with deep ties to health innovation stakeholders in one eligible country. Geographies: Croatia; Czech Republic; Estonia; Greece; Hungary; Latvia; Malta; Romania; Serbia; Slovenia; Turkey. Who can apply: Registered legal entities established in one of the eligible EIT RIS countries. Single organisations or national consortia may apply. Consortia must include at least two sides of the Knowledge Triangle (education, research and industry), and all consortium partners must be established in the same eligible country. Suitable applicants have demonstrated experience in healthcare innovation ecosystem development, innovation support and entrepreneurship, start-up acceleration, technology transfer, research and higher education, business support, and stakeholder engagement, with strong links to national innovation stakeholders. Funding amount: Up to EUR €182,000 per Country Representative (maximum funding per project); total call budget up to EUR €1,274,500; EIT Health funds up to 60% of total eligible project costs. Targeted Sectors / SDGs: Health; Innovation; Science & Technology; Economic Development & Livelihoods. Deadline: November 2, 2026. Learn more and apply here. Architects of Trust: Community-Driven Demand Creation for New TB Vaccines, Treatment Action Group (TAG). *New!* *Closing soon!* Treatment Action Group, with funding from Wellcome, is opening its Architects of Trust call to help communities prepare for the new tuberculosis vaccines now moving through late-stage trials. The money backs civil society and community-based organizations to raise awareness, surface local questions and concerns, and press policymakers toward equitable national rollout. By pairing each grantee with an advocacy mentor and running a strategy workshop alongside the Global TB Vaccine Forum, Treatment Action Group is building a durable advocacy bench rather than funding one-off outreach. The two-stage design, starting with a short expression of interest, signals that fit and community rootedness matter more than polished proposals. The strongest fits are locally trusted groups with real TB, immunization, or health advocacy experience and a committed project lead. Geographies: Brazil; Ethiopia; India; Indonesia; Kenya; Malawi; Mozambique; Nigeria; Peru; Philippines; South Africa; Tanzania; Vietnam; Zambia. Who can apply: National, subnational, or regional civil society organizations (CSOs) or community-based organizations based in one of the 14 eligible countries or in Eastern Europe/Central Asia regional networks, with experience in TB, immunization, or other health advocacy and in community engagement or policy advocacy; well integrated into stakeholder networks with membership or affiliation to other CSO or community networks; naming a dedicated project lead (’architect of trust’) who can attend the April 2027 Zaragoza forum in person; and holding (or committing to adopt) organizational policies on safeguarding (bullying, harassment, abuse, and harm), equity, diversity and inclusion, and legal compliance, research practice and governance. Funding amount: Grants of up to US$45,000 will be awarded to 8 CSO partners across 14 high-TB-burden countries plus regional networks in Eastern Europe and Central Asia; each grant funds 12 months of work. Targeted Sectors / SDGs: Health; Governance; Policy & Advocacy. Deadline: November 4, 2026. Learn more and apply here.
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3 Takeaways From Grizzlies’ 110-105 Win Over Jazz
Three takeaways from Memphis’ win in Utah, including Zach Edey’s foul trouble, Ty Jerome’s late response and valuable clutch reps for a young roster.
Akai opens its MPC Sample sampler to the community for custom firmwares
Akai MPC Sample is a battery-powered portable hardware sampler: soon it will be open for the community.
Rare Nanotyrannus Jodi Joins Dinosaurs "Lost To Science" Following $47.3 Million Auction Sale To Private Collector
“Reputable scientific journals will not publish research carried out on privately owned specimens. They are lost to science.”
FDA scientists opposed the Trump administration’s effort to ease peptides access
Health Secretary Robert F. Kennedy Jr. says he’s a fan of the unproven, injectable substances.
FDA scientists opposed the Trump administration’s effort to ease peptides access
Health Secretary Robert F. Kennedy Jr. says he’s a fan of the unproven, injectable substances.
Quinten Post Reveals Why Grizzlies’ Bench Has Been So Effective
Quinten Post scored 9 third-quarter points as Memphis’ bench helped the Grizzlies beat Utah 110-105 and improve to 4-0.
Grichuk Could Give Giants Needed Power Against Lefties
Randal Grichuk offers the veteran pop and situational flexibility the San Francisco Giants need to bolster their bench without blocking the path for rising prospects.
The Dining Table recommends: 5 exclusive lunches
If you want to get a head start on the weekend, consider these five favorites that only serve weekday lunches on Fridays.
Salt Entertainment Inks Agreement with Clive Barker and Park Ave Ent. LLC for 'Hellraiser'
Plans New Tabletop Game Line Based on the Horror Franchise
The Dining Table recommends: The Red Lion Pub
It’s been a gathering spot for actors, writers, locals and, if you believe its lore, ghosts.
Former Clemson Star Deshaun Watson Gets Surprising NFL QB Ranking From FOX Sports
FOX Sports believes former Clemson star Deshaun Watson is playing like a top-20 quarterback in the NFL this season.
Yankees' Stunning $15.5 Million Prediction Would Change Everything
This New York Yankees prediction would change everything for the team's offseason plans.
Angels Have A Leadership Void To Go With Talent Gaps
The Los Angeles Angels looked lost last year when it comes to effective leadership, and that needs to change.
T-Mobile introduces phone plans with new rules for customer perks
T-Mobile is challenging the way mobile carriers bundle plan benefits, with a new approach that marks a notable change for the wireless industry.
Tarkowski Sets Everton Demand Ahead of Carabao Cup Tie
James Tarkowski has called on Everton's players to turn their form around ahead of Thursday's Carabao Cup tie with Newcastle United.
What Anthony Edwards' Injury Means for Minnesota Timberwolves
The Timberwolves will need a collective effort to replace Edwards' production.
Bucks vs Rockets Injury Report: Alperen Sengun, Marcus Smart Statuses
The Milwaukee Bucks once again enter the game healthy.
Chicago Cubs Listed As Best Fit For 3 Free Agents
With several stars poised to depart Chicago, Craig Counsell could reunite with a former ace and land a veteran battery mate to solidify the North Siders' roster.
‘ESPN Gotta Pay This Dude,’ ‘Chemistry Seems More Business-Like’ — NFL World Split Over How Week 7 MNF Panned Out For Troy Aikman, Joe Buck
The Dallas Cowboys’ 38-21 win over the Philadelphia Eagles during Week 7’s Monday Night Football grabbed plenty of attention, but the spotlight wasn’t just on the action on the field. Fans were also keeping tabs on Joe Buck and Troy Aikman in the booth.
The Democratic Politics of Prison Abolition | Events & Calendars | The Democratic Politics of Prison Abolition
Anna Terwiel (Trinity College) discusses prison abolition. While dismissed as naïve or idealistic—even by "penal minimalists" who defend state punishment—abolition enacts vital democratic citizenship. She highlights abolitionists' vigilance against the carceral state, trust in collective power to build egalitarian justice, and accountability for political imperfections.This event is free and open to the public.
Could alien organisms survive in temperatures that would kill humans instantly? Science is revealing how far life can adapt
Earth already contains organisms that survive conditions humans could never endure. Alien life, if it exists, may force scientists to stretch the boundaries of habitability even further.
EAPs Are About to Go Through an Evolution
This is an exclusive BHB+ story. Employee assistance programs were once table stakes in workplace benefits packages in the early 2000s, but widespread
Alford-Windfield Appointed to Board
Mississippi Delta Community College Vice President of Enrollment Management, Dr. Kylon Alford-Windfield, has been appointed to the College Board’s National Ad
DSU Receives Funding From Boeing Company
Delta State University has received funding from The Boeing Company to create four annual scholarships for students in the university’s Commercial Aviation pr
Riccardo Calafiori Faces 'Genuine Concern' Ahead of Liverpool Trip
Riccardo Calafiori is a doubt for Arsenal’s trip to Anfield on Sunday, though Declan Rice and Noni Madueke are expected to be available.
Koinonia Establishing Manufacturing Operations in Drew
Koinonia, a startup plastics manufacturer, is establishing manufacturing operations in Drew. The project represents a corporate investment of $7.7 million and w
Military Park to Expand
The Vicksburg National Military Park Boundary Modification Act was recently signed into law. This legislation permits the State of Mississippi to build a new in
Mid-Delta Receives Certification
Greenville Mayor Errick D. Simmons recently announced that Mid-Delta Airport received its Federal Aviation Administration (FAA) Part 139 Airport Operating Certi
Empower Your Most Curious Employees to Drive Your Digital Transformation
Leaders seeking to turn AI’s promise into business value often overlook employees already experimenting with emerging technologies. These “digital wayfinders”—frequently younger, junior employees but defined by their exploratory approach rather than their age—can reveal new possibilities, challenge established assumptions, and accelerate digital transformation. Indeed, research involving almost 10,000 leaders across 108 countries suggests that organizations making greater progress are more likely to engage these employees. But these employees’ tendency to experiment without permission and challenge established thinking candidly can also send promising initiatives off track and alienate leaders. To channel their contributions productively, leaders should build candid, two-way communication; remove unnecessary bureaucracy while establishing clear business and ethical guardrails; and provide “air cover” through visible sponsorship and support and opportunities to influence consequential decisions.
Mississippi River: An Incredible Resource
A key component in the economic fabric of the Delta America was built on the backbone of entrepreneurs. Through the centuries, visionary men and The Mi
A Harvest with Breathing Room
This year produced strong commodity prices and good yields By mid-summer, the Mississippi Delta’s 2026 growing season looked as if it might become anoth
Brewers' Chourio Ties Ruth's 98-Year-Old World Series Record
The 22-year-old phenom matched Babe Ruth's historic 1928 mark, igniting the Milwaukee Brewers' offense in the World Series.
Scientists Identified 9 Ways of Measuring Earth’s Habitability. We’re Already Failing at 7 of Them.
These ecological pillars, which form the foundation of our planet’s habitability for all life, including humans, have never been in rougher shape.
Scientists Identified 9 Ways of Measuring Earth’s Habitability. We’re Already Failing at 7 of Them.
These ecological pillars, which form the foundation of our planet’s habitability for all life, including humans, have never been in rougher shape.
Heat's Bam Adebayo takes accountability for unfortunate 0-4 start
Bam Adebayo took a lot of blame after the Heat led by Giannis Antetokounmpo and Coach Erik Spoelstra started their NBA season with an 0-4 record.
When Government Governs with Efficiency, Everyone Wins
Unfortunately, today America and our political parties are very much divided along political and racial lines. It is stagnating progress and putting our country
Ancient migration linked to genetic health risks for Native Hawaiians
Rare genetic variants found among Polynesians reveal gaps in global databases that could have implications for health care.
Arsenal Lodge Appeal Against Max Dowman's Fleetwood Red Card
Arsenal are appealing the red card shown to Max Dowman during their Carabao Cup defeat at Fleetwood Town, in a bid to overturn the teenager's three-match ban.
Scientists fired a laser into the sky to talk to a distant spacecraft. Here's what it said | BBC Sky at Night Magazine
Image shows the Optical Communications Telescope Laboratory at NASA's Table Mountain Facility beaming a laser to NASA's Psyche spacecraft.
Brian Cashman's Ego is Destroying the New York Yankees
New York Yankees general manager Brian Cashman must get his ego in check.
Fulham vs Crystal Palace: Preview, Fixture History And Expected Lineups
It's crunch time for Pierre Sage at Crystal Palace, and what better way to ease the pressure than with a cup win over Fulham!
Kings Continue Winless Start After Road Loss at San Antonio
Victor Wembanyama’s dominant double-double and a barrage of Spurs three-pointers buried Sacramento in San Antonio, leaving the cold-shooting Kings desperate for answers during a winless four-game slide.
Colts' Draft Haul in 2027, 2028 After Huge Trades
What picks do the Indianapolis Colts have in the 2027 and 2028 NFL Drafts after making two big trades on Tuesday?
With Terry McLaurin Out, Commanders Depending on Antonio Williams
Head coach Dan Quinn noted he expects wide receiver Terry McLaurin to draw more targets with Terry McLaurin now sidelined for the season
How does daylight saving time impact your health?
Sleep is impacted, as well as metabolism, mental health and vascular health.
Brandon Lowe’s Predicted Contract Is Perfect for Pirates
The Pittsburgh Pirates shouldn't hesitate to sign Brandon Lowe to this projected free agent contract.