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author Shaw, Allison K
Fouda, Leila
Mezzini, Stefano
Kim, Dongmin
Chatterjee, Nilanjan
Wolfson, David
Abrahms, Briana
Attias, Nina
Beardsworth, Christine E
Beltran, Roxanne S
Binning, Sandra A
Blincow, Kayla M
Chan, Ying-Chi
Fronhofer, Emanuel A
Hegemann, Arne
Hurme, Edward R
Iannarilli, Fabiola
Kellner, Julie B
McCoy, Karen D
Rafiq, Kasim
Saastamoinen, Marjo
Sequeira, Ana M M
Serota, Mitchell W
Sumasgutner, Petra
Tao, Yun
Torstenson, Martha
Yanco, Scott W
Beck, Kristina B
Bertram, Michael G
Beumer, Larissa T
Bradarić, Maja
Clermont, Jeanne
Ellis-Soto, Diego
Faltusová, Monika
Fieberg, John
Hall, Richard J
Kölzsch, Andrea
Lai, Sandra
Lee-Cruz, Larisa
Loretto, Matthias-Claudio
Loveridge, Alexandra
Michelangeli, Marcus
Müller, Thomas
Riotte-Lambert, Louise
Sapir, Nir
Scacco, Martina
Teitelbaum, Claire S
Cagnacci, Francesca
author_facet Shaw, Allison K
Fouda, Leila
Mezzini, Stefano
Kim, Dongmin
Chatterjee, Nilanjan
Wolfson, David
Abrahms, Briana
Attias, Nina
Beardsworth, Christine E
Beltran, Roxanne S
Binning, Sandra A
Blincow, Kayla M
Chan, Ying-Chi
Fronhofer, Emanuel A
Hegemann, Arne
Hurme, Edward R
Iannarilli, Fabiola
Kellner, Julie B
McCoy, Karen D
Rafiq, Kasim
Saastamoinen, Marjo
Sequeira, Ana M M
Serota, Mitchell W
Sumasgutner, Petra
Tao, Yun
Torstenson, Martha
Yanco, Scott W
Beck, Kristina B
Bertram, Michael G
Beumer, Larissa T
Bradarić, Maja
Clermont, Jeanne
Ellis-Soto, Diego
Faltusová, Monika
Fieberg, John
Hall, Richard J
Kölzsch, Andrea
Lai, Sandra
Lee-Cruz, Larisa
Loretto, Matthias-Claudio
Loveridge, Alexandra
Michelangeli, Marcus
Müller, Thomas
Riotte-Lambert, Louise
Sapir, Nir
Scacco, Martina
Teitelbaum, Claire S
Cagnacci, Francesca
Shaw, Allison K
Fouda, Leila
Mezzini, Stefano
Kim, Dongmin
Chatterjee, Nilanjan
Wolfson, David
Abrahms, Briana
Attias, Nina
Beardsworth, Christine E
Beltran, Roxanne S
Binning, Sandra A
Blincow, Kayla M
Chan, Ying-Chi
Fronhofer, Emanuel A
Hegemann, Arne
Hurme, Edward R
Iannarilli, Fabiola
Kellner, Julie B
McCoy, Karen D
Rafiq, Kasim
Saastamoinen, Marjo
Sequeira, Ana M M
Serota, Mitchell W
Sumasgutner, Petra
Tao, Yun
Torstenson, Martha
Yanco, Scott W
Beck, Kristina B
Bertram, Michael G
Beumer, Larissa T
Bradarić, Maja
Clermont, Jeanne
Ellis-Soto, Diego
Faltusová, Monika
Fieberg, John
Hall, Richard J
Kölzsch, Andrea
Lai, Sandra
Lee-Cruz, Larisa
Loretto, Matthias-Claudio
Loveridge, Alexandra
Michelangeli, Marcus
Müller, Thomas
Riotte-Lambert, Louise
Sapir, Nir
Scacco, Martina
Teitelbaum, Claire S
Cagnacci, Francesca
collection PubMed - marine biology
contents Perceived and observed biases within scientific communities: a case study in movement ecology. Shaw, Allison K Fouda, Leila Mezzini, Stefano Kim, Dongmin Chatterjee, Nilanjan Wolfson, David Abrahms, Briana Attias, Nina Beardsworth, Christine E Beltran, Roxanne S Binning, Sandra A Blincow, Kayla M Chan, Ying-Chi Fronhofer, Emanuel A Hegemann, Arne Hurme, Edward R Iannarilli, Fabiola Kellner, Julie B McCoy, Karen D Rafiq, Kasim Saastamoinen, Marjo Sequeira, Ana M M Serota, Mitchell W Sumasgutner, Petra Tao, Yun Torstenson, Martha Yanco, Scott W Beck, Kristina B Bertram, Michael G Beumer, Larissa T Bradarić, Maja Clermont, Jeanne Ellis-Soto, Diego Faltusová, Monika Fieberg, John Hall, Richard J Kölzsch, Andrea Lai, Sandra Lee-Cruz, Larisa Loretto, Matthias-Claudio Loveridge, Alexandra Michelangeli, Marcus Müller, Thomas Riotte-Lambert, Louise Sapir, Nir Scacco, Martina Teitelbaum, Claire S Cagnacci, Francesca Ecology Bias Humans Research Personnel Male Female Movement 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 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.
format Artículo científico
id pubmed_40695346
institution PubMed
language en
publishDate 2025
publisher Proceedings. Biological sciences
record_format pubmed
spellingShingle Perceived and observed biases within scientific communities: a case study in movement ecology.
Shaw, Allison K
Fouda, Leila
Mezzini, Stefano
Kim, Dongmin
Chatterjee, Nilanjan
Wolfson, David
Abrahms, Briana
Attias, Nina
Beardsworth, Christine E
Beltran, Roxanne S
Binning, Sandra A
Blincow, Kayla M
Chan, Ying-Chi
Fronhofer, Emanuel A
Hegemann, Arne
Hurme, Edward R
Iannarilli, Fabiola
Kellner, Julie B
McCoy, Karen D
Rafiq, Kasim
Saastamoinen, Marjo
Sequeira, Ana M M
Serota, Mitchell W
Sumasgutner, Petra
Tao, Yun
Torstenson, Martha
Yanco, Scott W
Beck, Kristina B
Bertram, Michael G
Beumer, Larissa T
Bradarić, Maja
Clermont, Jeanne
Ellis-Soto, Diego
Faltusová, Monika
Fieberg, John
Hall, Richard J
Kölzsch, Andrea
Lai, Sandra
Lee-Cruz, Larisa
Loretto, Matthias-Claudio
Loveridge, Alexandra
Michelangeli, Marcus
Müller, Thomas
Riotte-Lambert, Louise
Sapir, Nir
Scacco, Martina
Teitelbaum, Claire S
Cagnacci, Francesca
Ecology
Bias
Humans
Research Personnel
Male
Female
Movement
Perceived and observed biases within scientific communities: a case study in movement ecology. Shaw, Allison K Fouda, Leila Mezzini, Stefano Kim, Dongmin Chatterjee, Nilanjan Wolfson, David Abrahms, Briana Attias, Nina Beardsworth, Christine E Beltran, Roxanne S Binning, Sandra A Blincow, Kayla M Chan, Ying-Chi Fronhofer, Emanuel A Hegemann, Arne Hurme, Edward R Iannarilli, Fabiola Kellner, Julie B McCoy, Karen D Rafiq, Kasim Saastamoinen, Marjo Sequeira, Ana M M Serota, Mitchell W Sumasgutner, Petra Tao, Yun Torstenson, Martha Yanco, Scott W Beck, Kristina B Bertram, Michael G Beumer, Larissa T Bradarić, Maja Clermont, Jeanne Ellis-Soto, Diego Faltusová, Monika Fieberg, John Hall, Richard J Kölzsch, Andrea Lai, Sandra Lee-Cruz, Larisa Loretto, Matthias-Claudio Loveridge, Alexandra Michelangeli, Marcus Müller, Thomas Riotte-Lambert, Louise Sapir, Nir Scacco, Martina Teitelbaum, Claire S Cagnacci, Francesca Ecology Bias Humans Research Personnel Male Female Movement 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 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.
title Perceived and observed biases within scientific communities: a case study in movement ecology.
topic Ecology
Bias
Humans
Research Personnel
Male
Female
Movement
url https://pubmed.ncbi.nlm.nih.gov/40695346/