TY - BOOK
T1 - Policy brief: equitable & inclusive team science
AU - Iley, Bethan
AU - Azevedo, Flávio
AU - Bennett, Arielle
AU - Goktas, Polat
AU - Kiersz, Dominik
AU - Sundukova, Mayya
AU - Unshur, Ahmed
AU - Yehudi, Yo
N1 - Funded by a Skills Policy Award 2023/2024 awarded by the Alan Turing Institute.
PY - 2024/7/17
Y1 - 2024/7/17
N2 - The present research aimed to map the intersection between diversity, equity, inclusion, and accessibility (DEI&A), team science and data science, with a focus on the policies which facilitate equitable and inclusive team science. To do this, we conducted a three-stage research project: (1) Policy review of written policies from research organisations active in the UK, including universities, funding bodies, and international team science consortia. (2) A workshop with individuals who have experience in team science, DEI&A, and/or data science. Participants were asked about the interface between the three areas of interest and existing de jure and de facto policy related to their work. Participants then collaboratively identified areas for future policy development. (3) A survey allowing anyone to contribute their ideas for equitable and inclusive team science policy. This was to combat survivorship bias as underrepresented groups may not meet the workshop inclusion criteria.
AB - The present research aimed to map the intersection between diversity, equity, inclusion, and accessibility (DEI&A), team science and data science, with a focus on the policies which facilitate equitable and inclusive team science. To do this, we conducted a three-stage research project: (1) Policy review of written policies from research organisations active in the UK, including universities, funding bodies, and international team science consortia. (2) A workshop with individuals who have experience in team science, DEI&A, and/or data science. Participants were asked about the interface between the three areas of interest and existing de jure and de facto policy related to their work. Participants then collaboratively identified areas for future policy development. (3) A survey allowing anyone to contribute their ideas for equitable and inclusive team science policy. This was to combat survivorship bias as underrepresented groups may not meet the workshop inclusion criteria.
KW - team science
KW - diversity, equity, inclusion and accessibility
KW - data science
KW - open science
KW - policy
KW - policy review
KW - qualitative research
U2 - 10.5281/zenodo.12759227
DO - 10.5281/zenodo.12759227
M3 - Other report
BT - Policy brief: equitable & inclusive team science
PB - Zenodo
ER -