TY - GEN
T1 - Explaining gender bias in ERC grant selection - Life Science case
AU - van den Besselaar, P.A.A.
AU - Schiffbaenker, H
AU - Sandström, Ulf
AU - Mom, S.C.
PY - 2018
Y1 - 2018
N2 - To explain lower success rates of female applicants in ERC grants, we collected data about past performance of the applicants, and we interviewed panel members about how selection criteria are practiced in general and specifically for female vs. male applicants. Controlling for several past performance variables, we still do find gender bias – more often in favor of men than of women. The analysis of the interviews provides empirical evidence that current evaluation practices indeed are not at all optimal, leading to gender-biased practices and outcomes.
AB - To explain lower success rates of female applicants in ERC grants, we collected data about past performance of the applicants, and we interviewed panel members about how selection criteria are practiced in general and specifically for female vs. male applicants. Controlling for several past performance variables, we still do find gender bias – more often in favor of men than of women. The analysis of the interviews provides empirical evidence that current evaluation practices indeed are not at all optimal, leading to gender-biased practices and outcomes.
M3 - Conference contribution
T3 - STI Conference Proceedings
SP - 346
EP - 352
BT - Science, Technology and Innovation Indicators in Transition
PB - Centre for Science and Technology Studies (CWTS)
CY - Leiden
ER -
