This two-year, $407,450 project grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program aims to develop knowledge promoting women's representation in science, technology, engineering, and mathematics (STEM) fields, with a focus on information technology jobs. The grant supports two research projects utilizing a large dataset from an e-recruiting platform tracking approximately 6 million applications to over 20,000 IT job advertisements posted by around 13,000 companies. Project 1 will use natural language processing and machine learning to identify characteristics of job advertisements that increase the likelihood of women applying. Project 2 will conduct an event study examining the effects of legislation mandating medium-term employer-paid maternity leave on women's likelihood of applying to jobs and companies' likelihood of interviewing them. Findings from both projects seek to inform companies and policymakers on attracting female applicants and designing effective parental leave policies. The University of Minnesota will receive the funding and oversee the research through March 2024.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $407.5k | 2/28/22 |