August 24, 2017
The Berkeley Distinguished Lectures in Data Science, co-hosted by the Berkeley Institute for Data Science (BIDS) and the Berkeley Division of Data Sciences, features faculty doing visionary research that illustrates the character of the ongoing data, computational, inferential revolution. In this inaugural Fall 2017 "local edition," we bring forward Berkeley faculty working in these areas as part of enriching the active connections among colleagues campus-wide. All campus community members are welcome and encouraged to attend.
Where: 190 Doe Library
When: Tuesday's 4:10-5:00pm (arrive at 3:30 for tea, coffee, and discussion)
September 12
Three principles for data science: predictability, stability, and computability
Bin Yu
Professor, Statistics
September 19
Why determining the fate of the Universe forces you to learn any/every data science tool you can
Saul Perlmutter
Professor, Physics
September 26
Computational Thinking, Inferential Thinking and Data Science
Michael Jordan
Professor, Statistics & EECS
October 17
Data for Social Good: Possibilities and Potential Pitfalls
Lisa Garcia Bedolla
Professor, Political Science & Education
November 14
Causal Inference in the Age of Big Data
Jasjeet Sekhon
Professor, Political Science and Statistics
November 21
Data-driven induction of critical timescales to improve the development of predictive models in the earth sciences
Laurel Larsen
Assistant Professor, Geography
November 28
Statistical Methods and Software for the Study of Olfactory Stem Cell Differentiation Using Single-Cell Transcriptome Sequencing
Sandrine Dudoit
Professor, Biostatistics & Statistics
December 5
