Workforce

Access to equitable employment with upward mobility involves a nexus of optimal information, choices, policies, and systems.

For people underrepresented or left out of any industry or workforce, the barriers to work are as many as they are complex. Real-time data and responsible technology can be developed and implemented to diminish these barriers — from education and training to the hiring funnel to upskilling and reskilling. Current research projects include:

  • Developing and scaling fair algorithms to source, filter, and engage frontline workers

  • Measuring and mitigating disparate impact in the hiring funnel

  • Designing and researching two-way communication to engage and support workers

FEATURED PARTNERS

Active Project Highlights

  • Algorithm Fairness in Small Business Lending

    Experimenting with lending criteria and protocols. Implementing fair algorithms to support equitable access to credit.

  • Measuring and Mitigating Bias in Technical Interviews

    Identifying and measuring sources of bias in interviews. Developing scalable mitigation strategies.

  • Effective, Fair Algorithms in the Hiring Funnel

    Developing and scaling sourcing, screening, and hiring algorithms to support human decision-making and hiring outcomes for frontline workers.

Supplementary Resources