A diverse panel of expert practitioners will envision the future of data talent development in a Web 3.0 world by unpacking the findings from Workforce Wanted: Data Talent for Social Impact, a groundbreaking report that identifies opportunities to train 3.5 million purpose-driven data professionals in low-resource contexts over the next 10 years. This discussion will explore the power of product innovation, ethical and equitable policy, and open-source curricula in creating diverse data talent.

Speakers

Ronda Železný-Green, Ph.D.

Former Director of Digital Learning

data.org

Ronda Železný-Green, Ph.D. is the former Director of Digital Learning for data.org. She is a diversity, equity, and inclusion (DEI) changemaker creating systems to empower Black people, women, people with disabilities, and other marginalized populations in the technology and education sectors.

Amanda Mukengeshayi

Manager, Strategic Initiatives

The University of Texas at San Antonio

Amanda Mukengeshayi is responsible for the strategy development and implementation of key academic initiatives.

Jennifer Sabourin, Ph.D.

Senior Policy Lead, SAS EVAAS for K-12

SAS Institute

Jennifer Sabourin, Ph.D., is a Sr. Data Scientist as part of the K-12 education outreach team at SAS Institute.

Samantha Leav

Director of State Policy

Data Science 4 Everyone

Samantha Leav is the Director of State Policy of Data Science 4 Everyone, a national initiative and coalition based at the University of Chicago.

Data Training in a Web 3.0 Future