There is an informative analysis of NSF funding in the article
The article reads in part [highlight added]
As another college year begins, tens of thousands of academics will once again be scrambling to submit proposals to the National Science Foundation, hoping to secure government funding for their research. Each year, the National Science Foundation (NSF) bestows more than $7 billion worth of federal funding on about 12,000 research proposals, chosen out of about 45,000 submissions.
Thanks to the power of open data, we can now see how representation on NSF federal advisory committees connects to which universities get the most funding. (Federal advisory committee membership data is a feature of Influence Explorer.)
Our analysis finds a clear correlation between the universities with the most employees serving on the NSF advisory committees and the universities that receive the most federal money. Overall about 75% of NSF funding goes to academic institutions.
Even when controlling for other factors, we find that for each additional employee a university has serving on an NSF advisory committee that university can expect to see an additional $125,000 to $138,000 in NSF funding.
Although the 144 NSF advisory committees do not make funding decisions directly, they do “review and provide advice on program management, overall program balance, and other aspects of program performance,” according to the NSF.
At a big picture view, looking at the data on NSF grant awards and NSF advisory committee representation reinforces just how much of the money and representation is concentrated in a limited number of major universities.
Twenty percent of top research universities got 61.6% of the NSF funding going to top research universities between 2008 and 2011. These universities also had 47.9% of the representatives on NSF advisory committees who came from top research universities during the same period. The next 20% of universities got 21.9% of the funding, and had 25.7% of the representatives. The bottom 20% research universities had just 1.0% of the funding and have 2.4% of the representatives.
Just 23 universities account for more than half of the funding awarded by the NSF top to research universities. See Table 1 .
The University of California tops the list by far, because we combined all University of California campuses (due to data issues, see our data and methodology section), followed by Cal Tech, the University of Illinois, Michigan and Cornell. Interestingly, of the traditional top three universities (Harvard, Princeton and Yale), only Harvard shows up on the above list, at No. 22.
For complete data on 171 major research universities, click here. (The 171 universities come from the US News and World Report list of 200 major research universities. We selected only universities that had some interaction with the NSF between 2008 and 2011).
More representatives on advisory committees, more funding
Figure 1 plots the average NSF funding level for the university from 2008-2011, and the average number of representatives serving on NSF committees during this same period.
The correlation is clear. The more university-affiliated individuals serve on NSF advisory committees, the more NSF funding the university gets. Mostly, big state schools, with a few Ivy League schools in the mix, dominate the higher echelons of funding and representation. Interestingly, both Cal Tech and M.I.T., two of the pre-eminent research institutions in the country, get substantial NSF funding with limited representation. (Note: The University of California is left off this chart since it is a far outlier on both average funding ($361 million) and average representation (638.5 members). Because the quality of our data prevents us from breaking down the University of California by campus, we largely omit it from our analysis.)
A second scatterplot (Figure 2) examines the relationship between the number of committees and the funding levels. Here the data take on a slightly different relationship. With the exception of a few outliers, there is a changing relationship between the diversity of committees and the NSF funding levels. It is more exponential than linear. Having representation on just a few committees doesn’t consistently correlate with higher funding, but having representation on a lot of committees is strongly correlated with higher funding.
Do more representatives help universities secure more funding?
The NSF “strives to conduct a fair, competitive, transparent, merit-review process for the selection of projects,” based on intellectual merit and broader impacts. Each year, the NSF produces an annual report on the merit review process. To make funding decisions, the NSF relies on tens of thousands of expert reviewers, though program officers make the final decisions.
Advisory committees oversee the general direction of the NSF program areas, including identifying “disciplinary needs and areas of opportunities.” As for who gets on these committees, the NSF explains that: “Many factors are weighed when formulating Committee membership, including the primary factors of expertise and qualifications, as well as other factors including diversity of institutions, regions, and groups underrepresented in science, technology, engineering, and mathematics.”
An example of such a committee is the Proposal Review Panel for Information and Intelligent Systems. Following the hyperlink provided would take you to a list of committee members in Influence Explorer, most of whom have university affiliations.
Showing that more representatives help universities get more funding than they would otherwise have received is difficult. There is a very good and reasonable explanation for the patterns we observe in the two above scatter plots: The NSF tries to get the most knowledgeable experts and accomplished academics to serve on its committees. Not surprisingly, the universities that attract the most NSF money are also likely to be home to many accomplished experts, since they are all leading research universities.
However, there are a few ways in which representatives could help their own universities to improve their chances. One possibility is that if a department has a representative on an NSF committee, that representative will be able to pass along funding opportunities and advice on navigating on the decision-making process of the committee to others in the university, thus strengthening others’ chances. Insiders can help others to better understand what a review committee might be looking for.
Another possibility is that in directing the general funding strategies of NSF program areas, advisory committees might see what their universities are doing as particularly valuable. Or more benignly, they might be more aware of the cutting-edge research within their universities just because it is being done by colleagues they interact with on a regular basis.
One way to investigate the relationship is to do a regression analysis, which allows us to control for different factors simultaneously. For those of a more technical mind, the details are below. For those who want the quick takeaway, it goes like this: Controlling for previous NSF funding and university endowment, universities with more NSF advisory committee representatives get more NSF funding than those that don’t. Each additional representative translates into about an extra $125,000 to $138,000 in NSF funding, controlling for other factors. The number of representatives is more important than the number of committees with representatives. Lobbying expenditures make no difference.
The entire article with the tables is very worth reading.