Pedagogy, Data Governance, and Predictive Analytics: A conversation on institutional data practices at Pitt.

This panel assembles perspectives from multiple units across Pitt to explore predictive analytics, institutional data practices, data governance, and their pedagogical and ethical implications within a rapidly evolving technology landscape.

Amanda Brodish will discuss the use of predictive analytics as part of the Pathways Student Success and Advising platform, providing an overview of the process used to engage faculty, students, and administrators in the use of predictive analytics; the development of a process allowing students to opt out; and the specific data points that are (and are not) included in the predictive analytics models. Michael Madison will speak to ongoing work at Pitt around data governance models and policies for institutional data. Gordon Mitchell will explore the question, how can an understanding of predictive analytics enhance data literacy for Pitt students preparing to work in our networked society?

Join us for an engaging discussion to learn more and connect with other Pitt community members interested in data ethics.

Speakers:

• Amanda Brodish, Associate Vice Provost for Data Analytics
• Michael Madison, Professor of Law and John E. Murray Faculty Scholar
• Gordon Mitchell, Associate Professor of Communication and Associate Professor of Clinical and Translational Science