@article{f9c6cbc7167b42c7ab7b382ed22a8aa5,

title = "Unconscious bias in academic mathematics",

author = "Danny Krashen",

note = "Funding Information: How do we mitigate bias? One useful strategy is to minimize the unconscious influence by establishing pre- determined criteria for our decision making. This need not be overly formal, and for a job candidate may simply include such factors as: high quality research contributions, establishment of a long-term research program, synergy of research area with departmental interests, and success mentoring graduate students, postdocs (and probably more things as well). Of course these are fuzzy concepts, particu- larly from the point of view of a mathematician; however, the point is not that we can pretend to accurately “measure” these things, but rather that these things are what we have decided are of value to us, and these things should explicitly guide our discussion and evaluation. When comparing two candidates, we can then think more about “do they have high-quality research contributions?” and less about “do I feel like they seem really smart/strong?” The National Science Foundation, in its grant reviewing panels, does a fairly good job at this by presenting criteria against which applicants are judged. While not perfect, and perhaps it is the nature of group dynamics that perfect solutions are not realistic, such a setting still prevents the more egregious abuses.",

year = "2021",

month = jan,

doi = "10.1090/noti2200",

language = "English (US)",

volume = "68",

pages = "58--60",

journal = "Notices of the American Mathematical Society",

issn = "0002-9920",

publisher = "American Mathematical Society",

number = "1",

}