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Codes of Conduct at Political Science Conferences: Prevalence and Content

Published online by Cambridge University Press:  21 May 2024

Lucie Lu
Affiliation:
Columbia University, USA
Nora Webb Williams
Affiliation:
University of Illinois Urbana-Champaign, USA
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Abstract

Academic conferences are important institutions for promoting new research and facilitating conversations about the field. As a venue for knowledge exchange, professional development, and networking, conferences ideally promote positive environments that make scholars from underrepresented groups feel welcome. Yet, negative experiences at conferences are well documented. Codes of conduct have been promoted as tools to reduce harassment and discrimination. This article examines the prevalence and content of codes at US-based political science conferences and workshops. More specifically, we analyze whether and how codes address issues of sexual misconduct and identity-based discrimination. We find that 19% of 177 surveyed conferences have a code of conduct. Conferences that are older and larger are more likely to have codes, as are conferences that are run by organizations with permanent staff and relevant committees. We argue that effective conference codes must contain definitions, reporting channels, and enforcement procedures. Many of the analyzed codes did not explicitly define prohibited behaviors, specify mechanisms to report code violations, or describe consequences for misconduct.

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Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Table 1 Numbers of Conferences and Workshops by Type

Figure 1

Table 2 Content Variables and Annotation Questions

Figure 2

Table 3 Summary of Code Findings

Figure 3

Figure 1 Distribution of Combined Content ScoresThe dashed line is the mean.

Figure 4

Figure 2 Distribution of Content Scores on Three Dimensions

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Lu and Webb Williams supplementary material

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