Bias2: Using data science to uncover bias and addressing bias in data science

Launched 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:

  • Launched 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.  

  • Activate a $250,000 fund to support faculty-led efforts that use  data science to uncover bias and address bias in data science. Read about our 4 awards here.

  • 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)

Past Seminars

May 6, 2021 Ziad Obermeyer UC Berkeley Recording
March 25, 2021 Desmond Patton & Kathy McKeown Columbia Recording
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