Yi Chen and Mark Andrejevic
9:00-10:00 Keynote
Algorithmic Accountability, Julia Agwin
10:00-10:30 Break
10:30-12:00 Algorithmic Bias
Algorithmic Fairness, Sorelle Friedler, Haverford College
Understanding and Reducing Unfair Bias in Machine Learning Algorithms, Anna Rafferty, Carleton College
Racial/Ethnic Disparities in DNA Sequencing Data and the Potential Impact on Computational Cancer
Research, Leyla Oesper, Carleton College
The Problem of Nonresponse: Evidence from a Survey in China, Kerry Ratigan, Amherst College
12:00 Lunch
1:30-2:30 New Ethical Frameworks
Data Ethics from a Statistical Perspective, Daniel T. Kaplan, Macalester College and Nicholas J. Horton, Amherst College
Big Data and Democracy: Facts and Values, Ashley Gorham, University of Pennsylvania
Beyond Unfairness: Identifying Problems in Data Ethics, Owen King, Oberlin College
2:30-3:00 Break
3:00-3:45 Internet of Things
Designing for DataEthics, Diane Michelfelder, Macalester College
IoT Device Surveillance in the Home, Aarathi Prasad, Amherst College
3:45-4:00 Break
4:40-4:45 Anonymization
Unintended Consequences of (Attempted) Anonymization, David Liben‐Nowell, Carleton College
The Synthetic Data Approach to Data Confidentiality, Jingchen (Monika) Hu, Vassar College
4:45-5:30 Brainstorming
What we want to think about for tomorrow
9:00 Welcome back
Yi Chen and Mark Andrejevic
9:30-10:30 Politics
Data and Politics (Pedagogy), Barbara Trish, Grinnell College
How Algorithmic Bias Changes the Reality, Eni Mustafaraj, Wellesley College
Trafficking, Technology, and “Data Driven” Justice, Jennifer Musto, Wellesley College
10:30-11:30 Keynote
Miley Dickerson
11:30 Wrap-up
Where to go from here
12:00 Lunch