Contest models highlight inherent inefficiencies of scientific funding competitions

Authors : Kevin Gross, Carl T. Bergstrom

Scientific research funding is allocated largely through a system of soliciting and ranking competitive grant proposals. In these competitions, the proposals themselves are not the deliverables that the funder seeks, but instead are used by the funder to screen for the most promising research ideas.

Consequently, some of the funding program’s impact on science is squandered because applying researchers must spend time writing proposals instead of doing science. To what extent does the community’s aggregate investment in proposal preparation negate the scientific impact of the funding program?

Are there alternative mechanisms for awarding funds that advance science more efficiently? We use the economic theory of contests to analyze how efficiently grant proposal competitions advance science, and compare them with recently proposed, partially randomized alternatives such as lotteries.

We find that the effort researchers waste in writing proposals may be comparable to the total scientific value of the research that the funding supports, especially when only a few proposals can be funded.

Moreover, when professional pressures motivate investigators to seek funding for reasons that extend beyond the value of the proposed science (e.g., promotion, prestige), the entire program can actually hamper scientific progress when the number of awards is small.

We suggest that lost efficiency may be restored either by partial lotteries for funding or by funding researchers based on past scientific success instead of proposals for future work.

URL : Contest models highlight inherent inefficiencies of scientific funding competitions

DOI : https://doi.org/10.1371/journal.pbio.3000065

Men set their own cites high: Gender and self-citation across fields and over time

Authors : Molly M. King, Carl T. Bergstrom, Shelley J. Correll, Jennifer Jacquet, Jevin D. West

How common is self-citation in scholarly publication and does the practice vary by gender? Using novel methods and a dataset of 1.5 million research papers in the scholarly database JSTOR published between 1779-2011, we find that nearly 10% of references are self-citations by a paper’s authors.

We further find that over the years between 1779-2011, men cite their own papers 56% more than women do. In the last two decades of our data, men self-cite 70% more than women. Women are also more than ten percentage points more likely than men to not cite their own previous work at all.

Despite increased representation of women in academia, this gender gap in self-citation rates has remained stable over the last 50 years. We break down self-citation patterns by academic field and number of authors, and comment on potential mechanisms behind these observations.

These findings have important implications for scholarly visibility and likely consequences for academic careers.

URL : https://arxiv.org/abs/1607.00376