Data-Driven Decision Making: Research for Inclusive Hiring

Fear, myths, old anecdotes, and unconscious biases can drive employers' hiring decisions, ultimately perpetuating or exacerbating existing inequities and potentially creating unnecessary community risk. In this session, we will examine how employers can use data to challenge these old assumptions, make informed decisions, and consider the human impact of policies that categorically disqualify people from work.

We’ll also share insights from the “Work of the Future” initiative, a collaboration between Checkr and scholars from MIT, Harvard, and Rutgers. This initiative will partner with Checkr customers to enhance fair chance hiring without increasing risk by connecting background check results with future success metrics on their platforms.