Name File Type Size Last Modified
BrysbaertCalculatorFunction.R text/x-r-syntax 3.5 KB 08/28/2020 02:14:PM
KeepWordsFunction.R text/x-r-syntax 1.1 KB 11/11/2019 04:55:PM
LCM.dic text/x-matlab 81.7 KB 12/31/2019 03:08:PM
LoadSyntaxFunctionsFunction.R text/x-r-syntax 212 bytes 11/11/2019 04:55:PM
ParsedCorpusFunction.R text/x-r-syntax 2 KB 11/11/2019 04:55:PM
brysbaert.txt text/plain 1.6 MB 11/11/2019 04:56:PM
concreteness_analysis_shareable.R text/x-r-syntax 4.7 KB 08/28/2020 09:12:PM
syntaxCorpusFunction.R text/x-r-syntax 954 bytes 11/11/2019 04:56:PM
syntaxLCMFunction.R text/x-r-syntax 2.3 KB 11/11/2019 04:55:PM

Project Description

Summary:  View help for 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:  View help for Subject Terms gender; innovation; funding; communication
JEL Classification:  View help for 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:  View help for Geographic Coverage United States


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