AMA: Saloni Dattani, Science Writer and co-founder of Works in Progress

By Toby Tremlett🔹, salonium @ 2025-07-02T08:33 (+24)

Saloni will answer the questions in this AMA between 6-8pm BST on July 8th. Leave your questions as comments, and upvote other questions you’d like to see answered.

If you’ve been around EA for a while, and you’re interested in global health, you’ve probably read Saloni Dattani before.

Saloni writes about global health at Our World In Data and is a co-founder and editor of Works in Progress magazine. She’s also recently started a podcast, Hard Drugs, with Jacob Trefethen. She also (somehow) finds time to write a great blog, Scientific Discovery.

She’s recently written on:

And she delivered a talk at EA Global London on the data that shapes global health.

Question ideas:

For some question ideas (though you can ask her anything), I asked o3 what Tyler Cowen would ask Saloni Dattani. Here are the best questions it spat out:

  1. Why do reported total fertility rates mislead policymakers, and how would you fix the metric?
  2. Where are the biggest blind spots in maternal-mortality data, and how should we fill them?
  3. What single root cause explains the long delay in rolling out a malaria vaccine?
  4. Which global-health dataset is most underrated, and why?
  5. Which country gets suicide statistics most wrong, and what are the consequences?
  6. Editing Works in Progress, what one lesson has most improved the ideas you publish?
  7. What browser tabs are open on your laptop right now?
  8. How has bird-watching shaped the way you do science, if at all?
  9. As head of the WHO for a day, what is the first concrete action you would take?

stevenhuyn🔸 @ 2025-07-02T08:47 (+3)

Are robust is the funding and quality of the data sources, are they at risk in the near future?

paper-scientist @ 2025-07-02T13:11 (+2)

What is the most ambitious endeavor in global health at this moment, and who is working on it? 

Julia Rohrer @ 2025-07-02T10:51 (+2)

So total fertility rates are potentially misleading, but cohort fertility rates are only available "after the fact", when it may be quite late for interventions -- what metric should be used instead to gauge whether demographic change may cause future issues regarding e.g. the size of the workforce?