An Informal Overview of US Science Funding

5 thoughts on “An Informal Overview of US Science Funding”

  1. Excellent overview. I’m curious about the section “What are the odds?”. Does the success rates mentioned there mean per application, or per submission. In other words, if I submit my proposal, then submit a revision, and then another revision, is my ultimate success rate 20%, or is my success rate on each submission 20% (making, by my estimation, a net success rate of about 50%). My impression is that 20% is the ultimate success rate, but some of your conclusions surprised me, so I don’t trust my intuition.

    By the way, I loved the Liechtenstein photo.

    1. Great question! I think this 20% NIH rate is per submission, so yes, re-submission increases the (eventual) odds considerably, though the likelihoods are undoubtedly correlated! (Link) However, it’s also the case that the success rate is institute-dependent. For NIGMS — basic science, the relevant one for most of us — it’s about 14.4% (link).

      It was fun to visit Liechtenstein! (I was in Switzerland, and felt that I had to go…) The photo is taken from a hike in Switzerland.

  2. Some good insights here! I especially appreciated the discussion around the ‘return on investment’ for basic research. A few thoughts on the metrics used in the post:

    1. % of GDP – This is a commonly cited metric, but it can be misleading, especially for smaller economies (e.g., Liechtenstein). Israel is a complex case, so I won’t comment on it specifically. As usual, cross-country comparisons get messy within the EU due to the fluid movement of researchers and the high level of inter-country collaboration.
    2. If you’re interested in global research hubs, a more accurate indicator is Gross Domestic Expenditure on R&D (GERD) normalized by purchasing power parity (PPP), which adjusts for currency differences and cost of living (link here). The U.S. ranks highest, followed by China. For comparing countries, the GERD-to-GDP ratio is useful. Trends are generally similar, though Taiwan stands out as unusually high.
    3. Lab expenditures – You focus mainly on grad students and post-docs, but if we’re talking human capital, what about spending on PIs, lab techs, and even undergrads? These can be significant, especially in larger labs.
    1. Thanks! I hadn’t heard of GERD — this looks great! I’m confused by the GERD-to-GDP ratio, though — it seems inconsistent to normalize the research expenditure by PPP (for the numerator) and not normalize GDP by PPP (the denominator).

      About #3: Yes, I agree. Lab tech costs are fairly similar to postdocs, though, so that’s easy to think about. Undergrads vary a lot; an undergrad research assistant being paid for 20 hrs/week for a full year at $15/hr would be about $16k, or $24k with indirect costs, which is about 1/2 to 1/3 of a graduate student. In any case, all of this highlights that the major cost for most grants is people, which I’m sure you know, but which is not obvious to students and (I think) the public.

      1. GDP is normalized too, from one of the tables on that page “Foreign currencies are converted by the Organisation for Economic Co-operation and Development (OECD) to U.S. dollars using PPP.”

        I assume this is varies widely labs working doing human trials the facilities cost and overheads might be comparable to researcher salaries.

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