TY - JOUR
T1 - Perceived and observed biases within scientific communities
T2 - a case study in movement ecology
AU - Shaw, Allison K.
AU - Fouda, Leila
AU - Mezzini, Stefano
AU - Kim, Dongmin
AU - Chatterjee, Nilanjan
AU - Wolfson, David
AU - Abrahms, Briana
AU - Attias, Nina
AU - Beardsworth, Christine E.
AU - Beltran, Roxanne S.
AU - Binning, Sandra A.
AU - Blincow, Kayla M.
AU - Chan, Ying Chi
AU - Fronhofer, Emanuel A.
AU - Hegemann, Arne
AU - Hurme, Edward R.
AU - Iannarilli, Fabiola
AU - Kellner, Julie B.
AU - Mccoy, Karen D.
AU - Rafiq, Kasim
AU - Saastamoinen, Marjo
AU - Sequeira, Ana M.M.
AU - Serota, Mitchell W.
AU - Sumasgutner, Petra
AU - Tao, Yun
AU - Torstenson, Martha
AU - Yanco, Scott W.
AU - Beck, Kristina B.
AU - Bertram, Michael G.
AU - Beumer, Larissa T.
AU - Bradarić, Maja
AU - Clermont, Jeanne
AU - Ellis-Soto, Diego
AU - Faltusová, Monika
AU - Fieberg, John
AU - Hall, Richard J.
AU - Kölzsch, Andrea
AU - Lai, Sandra
AU - Lee-Cruz, Larisa
AU - Loretto, Matthias Claudio
AU - Loveridge, Alexandra
AU - Michelangeli, Marcus
AU - Müller, Thomas
AU - Riotte-Lambert, Louise
AU - Sapir, Nir
AU - Scacco, Martina
AU - Teitelbaum, Claire S.
AU - Cagnacci, Francesca
N1 - Publisher Copyright:
© 2025 The Author(s).
PY - 2025/7/23
Y1 - 2025/7/23
N2 - 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.
AB - 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.
KW - academic conference
KW - diversity
KW - equity
KW - journal authorship
KW - parachute science
KW - representation
UR - https://www.scopus.com/pages/publications/105011691585
UR - https://www.scopus.com/pages/publications/105011691585#tab=citedBy
U2 - 10.1098/rspb.2025.0679
DO - 10.1098/rspb.2025.0679
M3 - Article
C2 - 40695346
AN - SCOPUS:105011691585
SN - 0962-8452
VL - 292
JO - Proceedings of the Royal Society B: Biological Sciences
JF - Proceedings of the Royal Society B: Biological Sciences
IS - 2051
M1 - 20250679
ER -