Bias2: Using data science to uncover bias and addressing bias in data science
Launching in September 2020, the Bias2 Program supports research, features speakers, and engages the data science community towards using data science to uncover bias, and understanding and combating the use of badly-conceived data science that can reinforce bias and inequity. Bias2 is one part of the HDSI’s larger efforts to address the structures in our field that reinforce bias and systemic racism.
As part of this program, the HDSI will:
Launch the Bias2 Seminar Series, monthly webinars featuring speakers who shed light on different types of bias through the use of data science, as well as speakers who raise concerns around problems with data, algorithms, and data-science methodology. The schedule of speakers can be found on our events page and below.
Expand HDSI’s summer Public Service Data Science Graduate Fellowships to support a total of three fellows in 2021, at least one of whom will be engaged in work that combats systemic racism.
Read more here -
An Update on the HDSI's Efforts to Combat Racism and Bias (August 2020)
HDSI Anti-Racism Statement (June 2020)
HDSI Postdoctoral Fellows Anti-Racism Statement (June 2020)
All seminars are Thursday 1:30-2:45 pm Eastern Time.
|April 22, 2021||Yeshimabeit Milner||Data for Black Lives||Event Page||Registration|
|May 6, 2021||Ziad Obermeyer||UC Berkeley||Event Page||Registration|
|March 25, 2021||Desmond Patton & Kathy McKeown||Columbia|
|February 25th, 2021||Rashida Richardson||Rutgers / German Marshall Fund||Recording|
|January 28th, 2021||Cynthia Rudin||Duke||Recording|
|December 17th, 2020||Nancy Krieger||Harvard|
|November 19th, 2020||Alexandra Chouldechova||Carnegie Mellon||Recording|