Events Archive

Wednesday, April 27, 2016
Panel Discussion
Panelists: Patrick Earley, Sahar Habib Ghazi, Lena Gunn, Leslie Harris, Jacob Hoffman-Andrews, Erica Johnstone, Jen King, and Tonya Mosley
202 South Hall, 4:10 pm - 5:30 pm
From Gamergate to revenge porn, cyberharassment and abuse disproportionately target women — often with devastating consequences. Join this expert panel to discuss how we can make a meaningful contribution to a gender-equal internet.
Friday, April 22, 2016
Information Access Seminar
Speaker: Cheryl Holzmeyer, Stanford University
107 South Hall, 3:10 pm - 5:30 pm
Thursday, April 21, 2016
Webinar
Speaker: JeanCarlo Bonilla, DataKind
12:00 pm - 1:00 pm
The rise of data science for social good and the relationship between optimizing for the bottom line vs. optimizing for social justice.
Wednesday, April 20, 2016
Speaker: Solon Barocas
202 South Hall, 4:10 pm - 5:30 pm
How does machine learning unintentionally inherit society’s prejudices, implicit biases, and faulty heuristics?
Friday, April 15, 2016
Jeffrey MacKie-Mason
Information Access Seminar
Speaker: Jeffrey MacKie-Mason, university librarian
107 South Hall, 3:10 pm - 5:00 pm
Wednesday, April 13, 2016
Special Lecture
Speaker: Katie Shilton
202 South Hall, 4:10 pm - 5:30 pm

Katie Shilton is an assistant professor at the University of Maryland whose research explores ethics in mobile application development.

Friday, April 8, 2016
Special Lecture
Speaker: Maria Giudice
202 South Hall, 4:10 pm - 5:30 pm
Maria Giudice is VP of experience design Autodesk and the author of Rise of the DEO: Leadership by Design.
Friday, April 8, 2016
Jim Michalko
Information Access Seminar
Speaker: Jim Michalko
107 South Hall, 3:10 pm - 5:00 pm
Jim Michalko recently retired from his position as VP of research libraries at OCLC.
Wednesday, April 6, 2016
O.co Coliseum, 5:30 pm
Join I School students, alumni, faculty, staff, and friends for a night at the ballpark and pregame tailgate party.
Wednesday, April 6, 2016
Min Kyung Lee
Special Lecture
Speaker: Min Kyung Lee
202 South Hall, 4:10 pm - 5:30 pm
Data-driven algorithms run more and more of the world — with speed and efficiency, but also unintended bias, unfairness, and incomprehensibility.