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Automatically assembling a full census of an academic field.

Allison C Morgan1, Samuel F Way1, Aaron Clauset1,2,3

  • 1Department of Computer Science, University of Colorado, Boulder, CO, United States of America.

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Summary

Automating computer science faculty data collection with a web crawler enables comprehensive workforce analysis. This method accurately captures trends in representation and faculty retention, crucial for understanding the scientific community.

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Area of Science:

  • Computer Science
  • Sociology of Science

Background:

  • Accurate scientific workforce data is essential for understanding research direction and policy impact.
  • Computer science lacks a centralized directory, hindering workforce analysis and diversity studies.
  • Previous census methods used limited samples or manual data collection, proving inefficient.

Purpose of the Study:

  • To develop and demonstrate an automated method for collecting comprehensive computer science faculty data.
  • To enable detailed analysis of workforce dynamics, including representation and retention.
  • To overcome limitations of manual data collection and biased sampling.

Main Methods:

  • Developed a topical web crawler to automatically extract faculty information from online departmental rosters.
  • Applied the crawler to 205 PhD-granting computer science departments in the U.S. and Canada.
  • Achieved over 99% precision and recall in data collection.

Main Results:

  • Successfully constructed a complete census of computer science faculty for 2017.
  • Quantified faculty turnover and retention rates by comparing the 2017 census with a 2011 census.
  • Enabled analysis of trends, including those for female faculty representation.

Conclusions:

  • Automated web crawling provides an efficient and accurate method for building a complete scientific workforce census.
  • This approach facilitates in-depth analysis of workforce composition, dynamics, and diversity.
  • The developed system supports evidence-based policy-making in computer science and related fields.