NCLA 2019

Terri Ottosen will discuss how implicit bias impacts reference interactions and instruction effectiveness with library users. She will focus on providing consumer health information to users that will be inclusive in terms of race, religion, sexual preference, gender identity, ability, weight, and socioeconomic status. Sarah Jeong will discuss meta-analysis research done on the selective nature of citing research literature, which can favor positive results and result in citation bias. There are many textbooks, patient handouts, and other publications on health sciences topics that use language that may be offensive or even discriminatory in terms of race, religion, sexual preference, gender identity, ability, weight, or socioeconomic status. Karen Grigg will discuss methods collections librarians can use to evaluate implicit bias or self-blaming in health sciences and other science literature in order to guide their purchasing decisions. A rubric created by Karen Grigg and Terri Ottosen to evaluate collections for bias will be distributed.