Bridging the Gap: A Comprehensive Approach to Responsible Data Science Education

When and Where

Thursday, August 15, 2024 11:00 am to 12:00 pm
9014
Ontario Power Building
700 University Avenue, Toronto, ON M5G 1Z5

Speakers

Professor Bin Yu

Description

The rapid growth of AI relies on data science, but education lags behind. The book Veridical Data Science (Yu and Barter, MIT Press, 2024) addresses this gap with Predictability, Computability, and Stability (PCS) principles. It integrates these into the Data Science Life Cycle (DSLC), covering problem formulation, data cleansing and result communication. This talk explores the book's approach, compares it with traditional methods, and demonstrates PCS through examples. The talk will also describe homework types to reinforce learning and, time permitting, discuss a prostate cancer research case study to show PCS in real-world analysis.

 

Contact Information

Sponsors

Statistics Colloquium, Department of Statistical Science

Map

700 University Avenue, Toronto, ON M5G 1Z5

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