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Digital fairness is a crucial consideration for any scientist who relies on computation. Who owns artificial intelligence models and who owns the data in those models? What biases are unintentionally embedded in the models? How transparent are the data manipulation processes? How reproducible are the results? The answer to these questions could have a myriad of impacts on both the science being conducted and the communities that could potentially benefit from these investigations.

Join the Institute for Computational and Data Sciences on October 6 and 7 as we bring together researchers from around the U.S. to discuss data, equity, reproducibility, and other topics related to fairness more.

The Symposium will include multiple keynotes, panel discussions, an industry panel, a student poster session, and more.

Listen in on keynote discussions focused on Equity and Data Science and the Replication of Genomic Studies.

Participate in the student poster competition, with cash prizes of $500 and $200!

Enjoy panel discussions on:

  • Ethical Challenges and Considerations in the Application of Machine Learning Methods to Clinical Medicine
  • Law, Policy, and Data
  • Energy, Justice, and Big Data
  • Industry Perspectives on the Future of Digital Fairness

This event is virtual OR in person at the Penn Stater Hotel and Conference Center.

Questions? Reach out to Liam Jackson, Communications Manager for the Institute for Computational and Data Sciences at Penn State.