Numbers Can Lie: When algorithms work perfectly but fail miserably

Numbers Can Lie: When algorithms work perfectly but fail miserably

The famous saying, “numbers don’t lie,” might work when reporting the score of a football game, but even then, the numbers don’t tell the whole story. In the three sessions of this program, learn the basics behind data science, and discover how easily human bias can be encoded into computer models.

Featured Speakers:

  • Roger Woodard, Teaching Professor in the Department of Applied and Computational Mathematics and Statistics and Director of the Online MS in Data Science, University of Notre Dame
  • Nitesh Chawla, the Frank M. Freimann Professor in the Department of Computer Science and Engineering and Founding Director of the Lucy Family Institute for Data and Society, University of Notre Dame
  • Marie Lynn Miranda, Charles and Jill Fischer Provost and Professor of Applied and Computational Mathematics and Statistics, University of Notre Dame
  • Kevin Bowyer, Shubmehl-Prein Professor of Computer Science and Engineering, University of Notre Dame

Series Description

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Format Length Title Speaker
Video 3 minutes Meet the Faculty Host Roger Woodard
Video 9 minutes When Numbers Lie: An Overview Roger Woodard
Video 2 minutes Tech Ethics at Notre Dame Mark McKenna
Event 56 minutes View the Event Roger Woodard
Article Additional Resources Roger Woodard
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Format Length Title Speaker
Article 1 minute Kevin Bowyer Roger Woodard
Article 1 minute Marie Lynn Miranda Roger Woodard
Event 56 minutes View the Event Roger Woodard
View Page
Format Length Title Speaker
Video 2 minutes Conference Host: Mark McKenna '97