Perceived and observed biases within scientific communities: a case study in movement ecology

Allison K. Shaw, Leila Fouda, Stefano Mezzini, Dongmin Kim, Nilanjan Chatterjee, David Wolfson, Briana Abrahms, Nina Attias, Christine E. Beardsworth, Roxanne S. Beltran, Sandra A. Binning, Kayla M. Blincow, Ying Chi Chan, Emanuel A. Fronhofer, Arne Hegemann, Edward R. Hurme, Fabiola Iannarilli, Julie B. Kellner, Karen D. Mccoy, Kasim RafiqMarjo Saastamoinen, Ana M.M. Sequeira, Mitchell W. Serota, Petra Sumasgutner, Yun Tao, Martha Torstenson, Scott W. Yanco, Kristina B. Beck, Michael G. Bertram, Larissa T. Beumer, Maja Bradarić, Jeanne Clermont, Diego Ellis-Soto, Monika Faltusová, John Fieberg, Richard J. Hall, Andrea Kölzsch, Sandra Lai, Larisa Lee-Cruz, Matthias Claudio Loretto, Alexandra Loveridge, Marcus Michelangeli, Thomas Müller, Louise Riotte-Lambert, Nir Sapir, Martina Scacco, Claire S. Teitelbaum, Francesca Cagnacci

Research output: Contribution to journalArticlepeer-review

Abstract

Who conducts biological research, where they do it and how results are disseminated vary among geographies and identities. Identifying and documenting these forms of bias by research communities is a critical step towards addressing them. We documented perceived and observed biases in movement ecology, a rapidly expanding sub-discipline of biology, which is strongly underpinned by fieldwork and technology use. We surveyed attendees before an international conference to assess a baseline within-discipline perceived bias (uninformed perceived bias). We analysed geographic patterns in Movement Ecology articles, finding discrepancies between the country of the authors' affiliation and study site location, related to national economics. We analysed race-gender identities of USA biology researchers (the closest to our sub-discipline with data available), finding that they differed from national demographics. Finally, we discussed the quantitatively observed bias at the conference, to assess within-discipline perceived bias informed with observational data (informed perceived bias). Although the survey indicated most conference participants as bias-aware, conversations only covered a subset of biases. We discuss potential causes of bias (parachute-science, fieldwork accessibility), solutions and the need to evaluate mitigatory action effectiveness. Undertaking data-driven analysis of bias within sub-disciplines can help identify specific barriers and move towards the inclusion of a greater diversity of participants in the scientific process.

Original languageEnglish
Article number20250679
JournalProceedings of the Royal Society B: Biological Sciences
Volume292
Issue number2051
DOIs
StatePublished - 23 Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s).

Keywords

  • academic conference
  • diversity
  • equity
  • journal authorship
  • parachute science
  • representation

ASJC Scopus subject areas

  • General Immunology and Microbiology
  • General Biochemistry, Genetics and Molecular Biology
  • General Environmental Science
  • General Agricultural and Biological Sciences

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