The Pod of Asclepius fall series, βThe Philosophy of Data Science,β is the first of an annual series directed at early-career statisticians and data scientists. The aim is to provide in-depth understanding of a single topic to augment the formal graduate school curriculum.
The series so far includes weekly episodes that began September 9. They are grouped into sessions (like a conference) to cover different aspects of scientific reasoning as they apply to data science. Following are the sessions that have been presented:
Session 1: Scientific Reasoning for Practical Data Science
- Glen Wright Colopy, Pod of Asclepius
- Andrew Gelman, Columbia University
- Mihaela van der Schaar, University of Cambridge
- Kathy Ensor, Rice University
Session 2: Essential Reasoning Skills for Data Science
- Elina Vessonen, Finnish Institute for Health and Welfare
- Joseph Wu, Brown University/University of Cambridge
- Huub Brouwer, Tilburg University/Utrecht University
Keynotes Session: The Philosophical Landscape of Science
- Samir Okasha, University of Bristol
- Deborah G. Mayo, Virginia Tech
The series—which should be of interest to all data scientists across industry, academia, and government—is free and available at any time. To get the latest session in the series, join the mailing list.
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