DiscoverRetrieving the Social SciencesEp. 52: Predicting Hospitalization with the Hilltop Institute Analytics Research Team
Ep. 52: Predicting Hospitalization with the Hilltop Institute Analytics Research Team

Ep. 52: Predicting Hospitalization with the Hilltop Institute Analytics Research Team

Update: 2024-02-12
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On today’s episode I speak with Dr. Leigh Goetschius, Data Scientist Advanced, Dr. Fei Han, Principal Data Scientist and Affiliate Assistant Professor in the UMBC Department of Computer Science and Electrical Engineering, and Dr. Morgan Henderson, Principal Data Scientist and Affiliate Assistant Professor in the UMBC Department of Economics. Together, these researchers form the UMBC Hilltop Institute Analytics Research team. Our conversation focuses on their work in creating predictive models in the field of healthcare.


On today's campus connection, our Production Assistant Jean Kim brings us a project by Dr. Zoe McLaren, whose article is titled "Data Driven COVID-19 Policy is More than a One-Size Fits All Approach."


Check out the following links for more information on UMBC, CS3, and our host:

Retrieving the Social Sciences is a production of the UMBC Center for Social Science Scholarship.  Our podcast host is Dr. Ian Anson, our director is Dr. Christine Mallinson, our associate director is Dr. Felipe Filomeno and our production intern is Jean Kim. Our theme music was composed and recorded by D’Juan Moreland.  Special thanks to Amy Barnes and Myriam Ralston for production assistance.  Make sure to follow us on TwitterFacebookInstagram, and YouTube, where you can find full video recordings of recent UMBC events.

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Ep. 52: Predicting Hospitalization with the Hilltop Institute Analytics Research Team

Ep. 52: Predicting Hospitalization with the Hilltop Institute Analytics Research Team

UMBC Center for Social Science Scholarship