Bias, Miscommunication, and Equity in Data: Part 2

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 2022 highlights these challenges and showcases solutions and opportunities in which we can re-examine data through an equity lens.
Data Day 2022 will be held in April 12, 2022, 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. We will be holding Power Sessions for interactive training.


Keynote Speaker: Monica Stephens

Monica Stephens is an Assistant Professor in the Department of Geography at the Durham University in Durham, England. She obtained her doctoral degree from the University of Arizona in 2012 and worked at the University at Buffalo (SUNY) as well as Humboldt State University (California).  Her research mines social media to trace inequalities across gender, race, and economic status.  Her book, Misinformation in the Digital Age: An American Infodemic is due out this year. In addition to academic articles, her work on social media has appeared in popular outlets including Wired Magazine, The New York Times, The Guardian, the Washington Post, and BBC World Service. 



UC Data Day will be held virtually on April 12, 2022. Registration is now open.


Past Data Days

Browse videos and see a listing of our past speakers.


Code of Conduct and Accessibility

The UC Data Day organizing committee aims that UC Data Day will be a welcoming event for all participants and strive to create an environment where all attendees feel comfortable to participate fully in all Data Day activities without any fear of harassment or discriminatory behavior.  Please be kind, respectful, and courteous to other participants.

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