Data and Code for: Gender Differences in Scientific Communication, and their Impact on Grant Funding Decisions

Principal Investigator(s): View help for Principal Investigator(s) Julian Kolev, Cox School of Business, Southern Methodist University; Yuly Fuentes-Medel, Massachusetts Institute of Technology; Fiona Murray, Massachusetts Institute of Technology

Version: View help for Version V1

Name	File Type	Size	Last Modified
Concreteness-Analysis			08/29/2020 01:12:AM
Primary-Analysis			08/29/2020 01:37:AM
Dataset List.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	10 KB	08/28/2020 09:38:PM
LICENSE.txt	text/plain	14.6 KB	08/28/2020 01:28:PM
README.pdf	application/pdf	96.3 KB	08/28/2020 09:42:PM

Project Citation:

Kolev, Julian, Fuentes-Medel, Yuly, and Murray, Fiona. Data and Code for: Gender Differences in Scientific Communication, and their Impact on Grant Funding Decisions. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-09-10. https://doi.org/10.3886/E120837V1

Project Description

Summary: Why are women under-represented in the fields of science, technology, and innovation? Using a sample of Gates and NIH grant applications submitted by a common pool of US-based academic researchers, we implement a range of text analysis methods associated with gendered language. We find that despite significant institutional differences, there are consistent gender differences in scientific communication. By contrast, we find starkly differing impacts of these text characteristics on funding outcomes across our institutional settings. Our findings suggest that institutional reform is likely to be a viable strategy for increasing gender inclusion in science and technology.

Scope of Project

Subject Terms: gender; innovation; funding; communication

JEL Classification:
      I23 Higher Education; Research Institutions
      J16 Economics of Gender; Non-labor Discrimination
      J44 Professional Labor Markets; Occupational Licensing
      O31 Innovation and Invention: Processes and Incentives

Geographic Coverage: United States

Time Period(s): 2008 – 2016

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Published Versions

V1 [2020-09-10]

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