“FAIR2: A Framework for Addressing Discrimination Bias in Social Data Science”

Members of the Case Western Reserve University community are invited to join the Mary Ann Swetland Center for Environmental Health for its next seminar series event Tuesday, Sept. 26, from 9 to 10 a.m. via Zoom.

During this session, Francisca García-Cobián Richter, research associate professor at the Jack, Joseph and Morton Mandel School of Applied Social Sciences, will present “FAIR2: A Framework for Addressing Discrimination Bias in Social Data Science.”

During this session, García-Cobián Richter will build upon the FAIR (findable, accessible, interoperable and reusable) principles of (meta)data and draw from research in social, health and data sciences to propose a new framework for identifying and addressing discrimination bias in social data science. 

FAIR2 (frame, articulate, identify, report) enriches data science with experiential knowledge, clarifies assumptions about discrimination with causal graphs and systematically analyzes sources of bias in the data, leading to a more ethical use of data and analytics for the public interest. FAIR2 can be applied in the classroom to prepare a new and diverse generation of data scientists. 

In this era of big data and advanced analytics, researchers argue that without an explicit framework to identify and address discrimination bias, data science will not realize its potential of advancing social justice.

Get more information about this seminar and register to attend.