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Enhancing and Accelerating Social Science Via Automation: Challenges and Opportunities

Published onApr 30, 2021
Enhancing and Accelerating Social Science Via Automation: Challenges and Opportunities
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You're viewing an older Release (#1) of this Pub.

  • This Release (#1) was created on Mar 01, 2021 ()
  • The latest Release (#2) was created on Apr 30, 2021 ().

Abstract

Automation plays an increasingly important role in science, but the social sciences have been comparatively slow to take advantage of emerging technologies and methods. In this review, we argue that greater investment in automation would be one of the most effective and cost-effective ways to boost the reliability, validity, and utility of social science research. We identify five core areas ripe for potentially transformative investment, including (1) machine-readable standards, (2) data access platforms, (3) search and discoverability, (4) claim validation, and (5) insight generation. In each case, we review limitations associated with current practices, identify concrete opportunities for improvement via automation, and discuss near-term barriers to progress. We conclude with a discussion of practical and ethical considerations researchers will need to keep in mind when working to enhance and accelerate social science progress via automation.


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3/1/20: To preview this content, click below for the Just Accepted version of the article. This peer-reviewed version has been accepted for its content and is currently being copyedited to conform with HDSR’s style and formatting requirements.

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