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EP 37 - Phillip Atiba Goff | The Long Road To Policing Equity
This week's episode of Next With Novo features Phillip Atiba Goff, a brilliant professor of psychology known for researching the relationship between race and policing in America. Phil is also the founder of the Center for Policing Equity, focusing on leveraging data and scientific analyses to combat inequitable policing. We begin with Phil’s background and his first experiences with racial bias in policing. We go back and forth on the state of the movement to reform the criminal justice system, and Phil details where he is optimistic and pessimistic. From there, the conversation zooms in on policing and how we can reimagine these systems using data. We close the conversation detailing Phil’s next chapter in this work and how storytelling and narrative are core to fundamentally changing these flawed systems. Follow Phil: @drphilgoff For more information, visit: policingequity.org Make sure to subscribe to my YouTube and Apple Podcasts channels so you don’t miss out on future episodes, and follow me: Twitter: https://twitter.com/novogratz YouTube: www.youtube.com/c/mikenovo/ Spotify: https://spoti.fi/3sdPneD Apple Podcasts: https://apple.co/3s74l5Y Next with Novo is the go-to resource for what's new and what's next. In this series, Mike Novogratz, influential investor, Wall Street Veteran, and CEO at Galaxy Digital, invites viewers to learn with him from the brightest minds behind disruptive businesses, prolific social movements, and technologies powering permissionless innovation. The Next with Novo podcast is for informational purposes only. Nothing in this podcast constitutes an offer to buy or sell, or a solicitation of an offer to buy or sell, any securities. The information in the podcast does not constitute investment, legal, or tax advice. The host is an affiliate of Galaxy Digital (host and Galaxy Digital together, the “Parties”), and the podcast represents the opinions of the host and/or guest and not necessarily that of Galaxy Digital. The Parties do not make any representation or warranty, express or implied, as to the accuracy or completeness of any of the information therein. Each of the Parties expressly disclaims any and all liability relating to or resulting from the use of this information. Certain information in the podcast may have been obtained from published and non-published sources and has not been independently verified. The Parties may buy, sell or hold investments in some of the companies, digital assets or protocols discussed in this podcast. Except where otherwise indicated, the information in this video is based on matters as they exist as of the date of preparation and will not be updated.
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