What is Biocomplexity | Stats + Stories Episode 339 / by Stats Stories

Stephanie Shipp is a research professor at the Biocomplexity Institute, University of Virginia. She co-founded and led the Social and Decision Analytics Division in 2013, starting at Virginia Tech and moving to the University of Virginia in 2018. Dr. Shipp’s work spans topics related to using all data to advance policy, the science of data science, community analytics, and innovation. She leads and engages in local, state, and federal projects to assess data quality and the ethical use of new and traditional data sources. She is leading the development of the Curated Data Enterprise (CDE) that aligns with the Census Bureau’s modernization and transformation and their Statistical Products First approach. She is a member of the American Statistical Association’s Committee on Professional Ethics, Symposium on Data Science and Statistics (SDSS) Committee, and the Professional Issues and Visibility Council. She is an elected member of the International Statistical Institute, an American Association for the Advancement of Science Fellow, and an American Statistical Association (ASA) Fellow. She received the ASA Founder’s award in 2022.


Episode Description

One thing that we always value at Stat+Stories is the story of, “How did we get here?”. Today’s episode follows our colleague, from work that she did in the federal government to now leading the charge at a biocomplexity institute. That's the focus of this episode of Stats and Short Stories with guest Stephanie Shipp.

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Rosemary Pennington
Stats and Stories is a partnership between Miami University's Department of Statistics and media journalism and film and the American Statistical Association. You can follow us on social media outlet formerly known as Twitter or Apple podcast, or other places where you find podcasts. If you'd like, share your thoughts on the program. Send your email to statsandstories@miami.oh.edu, or check us out at statsandstories.net, and be sure to listen for future editions of Stats and Stories, where we discuss the statistics behind the stories and the stories behind the statistics.