Quellen (3) – Handlungsempfehlungen für die Begutachtung wissenschaftlicher Projektanträge

Artiles Viera, M., Locane, M., Pépin, A., Willis-Mazzichi, V. (2017). Implicit Gender Biases during Evaluations: How to Raise Awareness and Change Attitudes (report from the workshop)

Fine, E., and Handelsman, J. (2006). Reviewing Applicants: Research on Bias and Assumptions

Gvozdanović, J., K. Maes. 2018. Implicit Bias in Academia: A Challenge to the Meritocratic Principle and to Women’s Careers – And What to Do About It. ADVICE PAPER no.23. League of European Research

Universities. Available at: www.leru.org/files/Publications/Implicit-bias-in-academia-Full-Paper.pdf

Government of Canada. Bias in Peer Review – A Training Module. Available at: www.chairs-chaires.gc.ca/program-programme/equity-equite/bias/module-eng.pdf

Huang, J., Gates, A. J., Sinatra, R. A., Barabási, L. (2020). “Historical Comparison of Gender Inequality in Scientific Careers across Countries and Disciplines.” Proceedings of the National Academy of Sciences of the United States of America 117(9): 4609–4616

Dvořáčková, J. (2020). Promoting gender equality in the evaluation process: Guideline for jury members, reviewers and research funding organizations’ employees. Available at: GEECCO_Guideline_for_jury_members__
reviewers_and_research_funding_organizations__employees.pdf (geecco-project.eu)

Kaatz, A., Guerrez, B., Carnes, M. (2014). “Threats to Objectivity in Peer Review: The Case of Gender.” Trends in Pharmacological Sciences 35(8): 371–373

Martell, R. F. (1991). “Sex Bias at Work: The Effects of Attentional and Memory Demands on Performance Ratings of Men and Women.” Journal of Applied Social Psychology 21(23): 1939–1960

Mihaljević-Brandt, H., Santamaría, L., Tullney, M. (2016). “The Effect of Gender in the Publication Patterns in Mathematics.” PLoS One 11(10): e0165367. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079651

Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., Handelsman, J. (2012). “Science Faculty’s Subtle Gender Biases Favor Male Students”. Proceedings of the National Academy of Sciences of the United States of America 109 (41): 16474–9

Nygaard, L. P., Bahgat, K. (2018). “What’s in a number? How (and why) measuring research productivity in different ways changes the gender gap.” Journal of English for Academic Purposes 32: 67–79

Paludi, M. A. and Bauer, W. D. (1983) “Goldberg Revisited: What’s in an Author’s Name”, Sex Roles: A Journal of Research, 9 (1983) pp. 387–390

The Royal Society (2015). Unconscious Bias Briefing. Available at: RS unconscious-bias-briefing-2015.pdf (st-andrews.ac.uk)