Deep Data is the critical next step in the work to address inequities in higher education. “Deep” refers to many layers of data – in contrast to “big data” in which you have limited data points about many people/things, but which results in a relatively shallow understanding. The goal in Deep Data work is to understand the inequities revealed by the diagnosis that results when data are disaggregated in order to understand how those outcomes came about and, ultimately, to identify strategies to address them.
Dr. Oh is available for keynote presentations on Deep Data, as well as facilitated, hands-on workshops tailored to your needs. CONNECT with her to learn more!