Diversity Reboot Summit

Inclusion by Design: The Right Decisions For The Biggest Impact

This event has ended. You can watch the recording here.
Virtual
Inclusion by Design: The Right Decisions For The Biggest Impact
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In this conversation moderated by Dr. Frida Polli, CEO and Cofounder, pymetrics, you’ll hear from Harvard’s Dr. Iris Bohnet, a behavioral economist, combining insights from economics and psychology to improve decision-making in organizations and society (often with a gender or cross-cultural perspective) and Dr. Renee Wittemyer, the Director of Program Strategy and Investments for Pivotal Ventures. These leaders will discuss the data and strategies required to build more diverse and inclusive workplaces. Sponsored by Rockstar Games.

Meet The Speakers

Iris Bohnet
Iris Bohnet
Academic Dean, Harvard Kennedy School

Professor Bohnet, the Albert Pratt Professor of Business and Government, is the Academic Dean of Harvard Kennedy School. She is the author of the award-winning book What Works: Gender Equality by Design and advises governments and companies on the topic around the world. Professor Bohnet is also the co-director of the Women and Public Policy Program.

Renee Wittemyer
Renee Wittemyer
Director of Program Strategy and Investment, Pivotal Ventures

Dr. Renee Wittemyer is the Director of Program Strategy and Investments for Pivotal Ventures, an investment and incubation company created by Melinda Gates to advance social progress for women and families in the United States. Renee leads the development and execution of innovation-focused investments and partnerships in areas ranging from women and tech, caregiving solutions to adolescent mental health.

Frida Polli
Frida Polli
PhD - CEO and co-founder, pymetrics

Frida is an award-winning Harvard-and-MIT trained neuroscientist turned startup founder, who is passionate about revolutizing access to economic opportunity through unbiased tech. She is the CEO and co-founder of pymetrics, which matches people to top jobs while removing gender and ethnic bias from the hiring process through neuroscience and AI technology.