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.  

  • Activate a $250,000 fund to support faculty-led efforts that use  data science to uncover bias and address bias in data science. Details of the fund and application instructions will be available in early Fall 2020.

  • 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)

Upcoming Events

All seminars are Thursday 1:30-2:45 pm Eastern Time.

October 22nd, 2020 Ziad Obermeyer UC Berkeley Event Page Registration
November 19th, 2020 Alexandra Chouldechova Carnegie Mellon Event Page Registration
December 17th, 2020 Nancy Krieger Harvard Event Page Registration
January 28th, 2021 Cynthia Rudin Duke Event Page Registration
February 25th, 2021 Rashida Richardson NYU Event Page Registration
March 25, 2021 Desmond Patton & Kathy McKeown Columbia Event Page Registration