

Parth Ahya
3.1K posts

@Parthion
Trying to make the world better



One year ago, my Clinical Trial Abundance work was kickstarted through the actions of @Parthion, with a policy workshop in DC. Excited to partner again with @RenPhilanthropy to continue this work & grateful to @coeff_giving for the support.

I read this recent 'microplastics in the brain' article and I have a lot of questions. 🧵



1/ As we close out 2025, our first full year of operation, we’re proud to reflect on a year of significant progress and growth. Here’s a look at what kept us busy 👇


For a while now, I've been listing every book I read each year. Here is 2024: 1. Napoleon the Great by Andrew Roberts 2. The Hatred of Poetry by Ben Lerner 3. Augustus by Adrian Goldsworthy 4. The Triumph of Injustice by Emmanuel Saez and Gabriel Zucman 5. Autobiography by Benjamin Franklin 6. The Black Prince by Iris Murdoch 7. The Goldfinch by Donna Tart 8. The Drunkard’s Walk by Leonard Mlodinow 9. Dune, Book 1 by Frank Herbert 10. Artful by Ali Smith 11. The Nun by Denis Diderot 12. The Employees by Olga Ravn 13. The Entrepreneurial State by Mariana Mazzucato 14. How to Read Heidegger by Mark Wrathall 15. Politics On the Edge by Rory Stewart 16. Swann in Love by Marcel Proust 17. Zero to One by Peter Thiel and Blake Masters 18. The Master and Margarita by Mikhail Bulgakov 19. Situational Awareness by Leopold Aschenbrenner 20. Prozac Nation by Elizabeth Wurtzel 21. Inside the Head of Bruno Schulz by Maxim Biller 22. Keep the Aspidistra Flying by George Orwell 23. The Inseparables by Simone de Beauvoir 24. The Man in the High Castle by Philip K. Dick 25. Stubborn Attachments by Tyler Cowen 26. Eastbound by Maylis de Kerangal 27. Lady Chatterley’s Lover by D.H. Lawrence 28. Reinventing Discovery by Michael Nielsen 29. The Cyberiad by Stanislaw Lem 30. Suppose a Sentence by Brian Dillon 31. The Sense of Style by Steven Pinker 32. Return by Snježana Mulić 33. The Tyranny of Merit by Michael J. Sandel 34. Memoirs of Hadrian by Marguerite Yourcenar 35. Reunion by Fred Uhlman 36. Under the Net by Iris Murdoch 37. Do Androids Dream of Electric Sheep? By Philip K. Dick 38. Cloud Atlas by David Mitchell 39. A Culture of Growth by Joel Mokyr 40. Mansfield Park by Jane Austen 41. Notes on Climate Tech by Ben James 42. Yann Andréa Steiner by Marguerite Duras 43. The New Leviathans by John Gray 44. Intermezzo by Sally Rooney 45. Innovation in Real Places by Dan Breznitz 46. Notes from Underground by Fyodor Dostoevsky 47. Little Zen Poems by Nina Mermey Klippel 48. Cigarettes by Harry Mathews 49. The Lessons of History by Will & Ariel Durant 50. No Rules Rules by Reed Hastings & Erin Meyer 51. Freud, A Very Short Introduction by Anthony Storr 52. Iris Murdoch, A Life by Peter J. Conradi 53. The Glass Hotel by Emily St. John Mandel 54. Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig




I am thrilled that Dr. Monica Bertagnolli (former Director, NCI and NIH) is joining @RenPhilanthropy as a Senior Advisor. Here's my interview with her on her strategy for accelerating biomedical research using AI and privacy-preserving approaches ...



NSF is launching one of the most ambitious experiments in federal science funding in 75 years. The program is called Tech Labs, and the goal is to invest ~$1 billion to seed new institutions of science and technology for the 21st century. Instead of funding projects, the NSF will fund teams. I’m in the @WSJ today with a piece on why this matters (gift link): wsj.com/opinion/scienc… Here’s the basic case: 1) Most federal science funding takes the form of small, incremental, project-based grants to individual scientists at universities. 2) The typical NSF grant is ~$250k/year to a professor with a couple of grad students and modest equipment over a few years. This is a perfectly reasonable way to fund some science, but it's not the only way. 3) A healthy portfolio needs more than one instrument. Project-based grants are like bonds: low-risk, steady, safe. But no one trying to maximize long-run returns would put 70% of their portfolio in bonds. 4) Yet that's basically what our civilian science funding portfolio looks like. Around 3/4ths of NSF and NIH grant funding is project-based. 5) Tech Labs is NSF's attempt to diversify that portfolio. The Tech Labs program is aiming for: - $10-50 million/year awards per team - 5+ year commitments - Measuring impact through advancement up the Tech Readiness Level scale rather than papers published - Up to ~$1 billion for the program - Supporting research orgs outside traditional university structures 6) Scientific production looks very different than it did when the NSF launched 75 years ago. The lone genius at the chalkboard can only do so much. Frontier science + tech today is increasingly team-based, interdisciplinary, and infrastructure-intensive. 7) The team behind AlphaFold just won the Nobel Prize in Chemistry. It came from DeepMind, an AI lab with sustained institutional funding and full-time research teams. It would be near-impossible to fund this kind of work on a 3-year academic grant. 8) Same pattern at the @arcinstitute (8-year appointments, cross-cutting technical support teams) and @HHMIJanelia (massive infrastructure investments to map the complete fly brain). Ambitious science increasingly needs core institutional support, not a series of project grants stapled together. 9) Similarly, Focused Research Organizations (@Convergent_FROs) have showcased a new model supporting teams with concrete missions and predefined milestones to unlock new funding. 10) There’s a whole ecosystem of philanthropically-supported centers doing amazing research, like the Institute for Protein Design, the Allen Institute, the Flatiron Institute, the Whitehead Institute, the Wyss Institute, the Broad — the list goes on. 11) But philanthropy can’t reshape American science alone. The federal government spends close to $200 billion each year on research and development, an order of magnitude more than even the largest foundations. 12) If we want to change how science gets done at scale, federal funding has to evolve. And the NSF and NIH don’t have dedicated funding mechanisms to support or seed these sorts of organizations. 13) Earlier this year, I started working on a related framework called “X-Labs” that built on all this exciting institutional experimentation that’s been happening within the private and philanthropic sectors. It’s time for the federal government to step into the arena: rebuilding.tech/posts/launchin… 14) Traditional university grants are still important for training the next generation of scientists and for certain kinds of curiosity-driven work. But after 75 years of putting nearly everything into one model, we should try something different. 15) And key program details are still being developed! You can reply to the Request for Information with suggestions or feedback on how to design this program here: nsf.gov/news/nsf-annou… 16) Science is supposed to be about experimentation. Science funding should be too.

Thrilled to welcome @sohamsankaran as a Fellow to explore how generative AI can accelerate breakthroughs in global health. As founder of @PopVaxIndia, he’s led AI-driven vaccine and immunotherapy development, including an NIH-sponsored COVID-19 program. Soham is also a @voxdotcom Future Perfect 25 changemaker.