Rahimian, Amin and Kamara, Nadjah and Xing, Zhaohan
(2022)
Data for Social Good.
In: Celebration of the Year of Data and Society, 2022, University of Pittsburgh, Pittsburgh, PA.
Abstract
The need for this project was to supplement the core engineering undergraduate curriculum with a data-focused technical elective that has an emphasis on the real-world applications of data science and the societal implications of using data for decision making. The opportunity arose through the Year of Data and Society at the University of Pittsburgh that supported the development of instructional materials to be delivered as an engineering elective entitled “Data for Social Good (IE 1171)”. The curriculum will engage students in a critical study of contemporary topics at the intersection of AI, data, and society including fairness, accountability, transparency, and privacy issues. Engineers broadly, and industrial engineers in particular, are often in positions to shape society through their designs. The curriculum will equip students with tools to think through the societal consequences of their designs and empower them to influence large-scale sociotechnical systems of the future. The instructional materials will also be made available in an open repository (https://github.com/aminrahimian/data-for-good) for adaptation and adoption by other instructors within and outside of Engineering.
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