Data Day 2021
Bias, Miscommunication, and Equity in Data: Part 1
Held online Friday, November 5, 2021
Researchers producing and using data face similar but unique, challenges in data management, data sharing, reproducible research, and preservation. Researchers have a tremendous responsibility to ensure that the data they produce, and share is equitable as it impacts individuals and communities the world over. When data is collected and shared incorrectly, it can advance inequities, bias, and even violence. Researchers must be aware of methods to mitigate these and how to generate data that is free of bias, is equitable, and inclusive to avoid any miscommunication and/or ambiguity regarding their data. Data Day 2021 highlights these challenges and showcases solutions and opportunities in which we can re-examine data through an equity lens.
Data Day 2021 will be held on Friday, November 5, 2021, and will offer online panel discussions centered around the theme of bias, miscommunication, and equity in data. We have a panel of data experts and a keynote address given by Heather Krause, founder of We All Count and the Data Equity Framework. We will also host a weeklong virtual screening of the documentary film Coded Bias and an afternoon panel discussion on Good vs Bad AI.
Data Day Schedule
| 8:45 am | Welcome |
| 9 am–10:45 am | Keynote address (Heather Krause) |
| 10:45 am–11 am | Break |
| 11 am–noon | Bias, Miscommunication, and Equity in Data Panel: (Ebony Ruhland, Jeff Blevins, and Margarita Boenig-Liptsin ) Moderated by Heather Krause |
| Noon–1 pm | Lunch Break |
| 1 pm–2:30 pm | Good vs Bad AI Panel: (Deeptankar DeMazumder, Nirmalya Thakur, and Anissa Tanweer) Moderated by Chris Collins |
Speakers
Heather Krause, Founder, We All Count, Keynote
Panel 1: Bias, Miscommunication, and Equity in Data. Moderated by Heather Krause
Dr Ebony Ruhland, an assistant professor in the School of Criminal Justice at the University of Cincinnati.
Dr Jeffrey Layne Blevins, a Professor in the Journalism Department at the University of Cincinnati, where he also holds affiliate appointments in the Department of Political Science and The Cincinnati Project.
Dr Margarita Boenig-Liptsin, a Research Fellow at the Paris Institute of Advanced Study. Prior to the Fellowship at the Paris IAS, she was the Director of the Human Contexts and Ethics Program in the Division of Computing, Data Science, and Society at the University of California, Berkeley and Lecturer in the History Department.
Panel 2: Good vs Bad AI. Moderated by Chris Collins.
Dr Anissa Tanweer, a research scientist at the University of Washington's eScience Institute, a hub for data science training and collaboration.
Dr Deeptankar DeMazumder, Assistant Professor of Medicine, Director of the Artificial Intelligence and Precision Medicine Center of Excellence, and PI of the Neurocardiology Research Lab in the Division of Cardiology, Department of Medicine at University of Cincinnati, and an Attending Physician in Clinical Cardiac Electrophysiology at the University of Cincinnati Medical Center.
Dr Nirmalya Thakur, affiliated with the Department of Electrical Engineering and Computer Science at the University of Cincinnati.
Dr Chris M. Collins, founder of the UCSIM | Center for Simulations & Virtual Environments Research at the University of Cincinnati and serves as the Center’s technical lead.