Data Science for the Public Good Distinguished Speaker

Please join us for our upcoming Distinguished Speaker Series to be hosted in person, featuring distinguished speaker Katherine Ensor, Noah G. Harding Professor of Statistics, and Director of CoFES at Rice University.

“Community Analytics and the Value of University/City Partnerships”

In today’s data-driven world, statisticians and data scientists are in high demand. A key area where their talents and skills contribute is a better understanding of cities and communities. Through strong university and local government partnerships, advanced statistics provide needed knowledge to guide community actions, city processes, and regional policies. In this talk, Dr. Ensor will give key examples of such partnerships, highlighting how local governments in the Houston area capitalize on universities in the region and the dual enrichment of the university environment. Dr. Ensor will examine contributions toward improved flood management, understanding the extent of benzene exposure in the community, and Rice University’s extensive collaboration with Houston Health Department around COVID-19, including establishing the wastewater epidemiology system for the City. Each case study will highlight the improved actions and policy implications resulting from the university and local government collaboration. Dr. Ensor will also discuss key aspects of successful partnerships. 

About the Data Science for the Public Good Forum
Our Data Science for the Public Good Forum, including its Distinguished Speaker series, brings together people from government, business, and academia, who want to investigate how data can shape public policy. The Forum is a partnership among the Biocomplexity Institute, School of Data Science, and Darden School of Business.

About the Distinguished Speaker Series
Our respected DSPG Distinguished Speaker Series is an important element of the Forum. We host nationally-recognized speakers who share their expertise and knowledge of data science with attendees from around the world. The Series is free and open to the public – please join us.

Learn more about about Data Science for the Common Good.

 

Register