Transforming Programs Through Predictive Analytics




Stanford Social Innovation Review Podcast show

Summary: <p>Predictive analytics can help organizations iterate rapidly, become more transparent and precise, and pinpoint opportunities to address inequities in their work.</p> <p>In this recording from our 2019 <a href="http://www.ssirdata.org/">Data on Purpose conference</a>, <strong>Parag Gupta</strong>, vice president of the Stupski Foundation, and <strong>Jeff Gold</strong>, assistant vice chancellor at California State University, share a case study of how public higher education institutions are successfully using predictive tools to increase graduation rates and close the achievement and opportunity gaps between low-income and underrepresented minority students and their peers. In 2018, after using these tools, Cal State graduation rates were the highest they’ve ever been while equity gaps also narrowed.</p><br><a href="https://ssir.org/podcasts/entry/transforming_programs_through_predictive_analytics">https://ssir.org/podcasts/entry/transforming_programs_through_predictive_analytics</a>