Tuesday, January 30, 2018 at 12:15pm to 1:30pm
Lewis Hall (RGL), 101
650 Childs Way, Los Angeles, CA 90089
Over the past two decades, advancements in computation and statistical methodologies have revolutionized a
number of industries and society at large. These techniques and changes are often vague and opaque to
policymakers and planners. With this gap, our ability to manage and plan cities in the future runs the risk of being
overrun by algorithmic decision making that has been abstracted away from the people, with profound
consequences. Additionally, without knowledge of this techniques and programs, Policymakers and Planners miss
opportunities to deliver government services in ways that had not been possible before.
This talk introduces a basic understanding of the Machine Learning, how it has been applied in cities, and how to
manage, regulate, and find opportunities to use data science to inform better policies and operations for
municipal governments. We will touch on the challenges of scaling this work to a City of 4.2 million residents and
some of the prevailing trends in the ecosystem.
Hunter Owens will share his thoughts on Machine Learning and how to best use data science to inform successful policies and programs without subtracting the human element from responsible policy-making.
We will also be serving lunch at this Urban Growth Seminar so please RSVP with Angela Lucero at email@example.com by Monday, January 29th.