Research topic choice: Motivations, strategies, and consequences

Abstract Scientists’ choices of what research topics to pursue are highly consequential and have been the subject of many studies. However, these studies are dispersed across several fields and literatures. This paper provides a review of this body of work. It first reviews theory from economics and sociology to explain how topic choice fits into scientists’ broader competitive strategy, and how the social valuation of research topics reproduces inequalities in science. Then it examines empirical literature on how research topics are chosen in practice, first looking at observational accounts derived from large-scale secondary data sources, then looking at self-reported accounts elicited by surveys and interviews of researchers. Finally, it concludes with a synthesis of the theoretical and empirical literature and identifies research gaps. Themes in these literatures include the rewards associated with certain topics, demographic differences in topic choices, and whether choices are broadly reward maximizing or driven by social context, identities, and path dependence. We also identify several research gaps, including the types and impacts of costs impeding topic entry and switching, the causal mechanisms associating topics with rewards, and the discrepancy between scientists’ self-reported topic motivations and observed behavior.

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Publication Details

Journal
Quantitative Science Studies
Published
2025-01-01
DOI
https://doi.org/10.1162/qss_a_00365
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Research topic choice: Motivations, strategies, and consequences

Misha Teplitskiy, Daniel M. Romero, Sidney Xiang
Quantitative Science Studies
Software Engineering Techniques and Practices
article

Research topic choice: Motivations, strategies, and consequences

Misha Teplitskiy, Daniel M. Romero, Sidney Xiang
article en

Abstract

Abstract Scientists’ choices of what research topics to pursue are highly consequential and have been the subject of many studies. However, these studies are dispersed across several fields and literatures. This paper provides a review of this body of work. It first reviews theory from economics and sociology to explain how topic choice fits into scientists’ broader competitive strategy, and how the social valuation of research topics reproduces inequalities in science. Then it examines empirical literature on how research topics are chosen in practice, first looking at observational accounts derived from large-scale secondary data sources, then looking at self-reported accounts elicited by surveys and interviews of researchers. Finally, it concludes with a synthesis of the theoretical and empirical literature and identifies research gaps. Themes in these literatures include the rewards associated with certain topics, demographic differences in topic choices, and whether choices are broadly reward maximizing or driven by social context, identities, and path dependence. We also identify several research gaps, including the types and impacts of costs impeding topic entry and switching, the causal mechanisms associating topics with rewards, and the discrepancy between scientists’ self-reported topic motivations and observed behavior.

Quantitative Science StudiesVol. 6
University of Michigan (US)
Openalex Percentile: Top 93%
Software Engineering Techniques and Practices
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