[Colloquium] REMINDER: 6/13 TTIC Colloquium: Rayid Ghani, University of Chicago

[Mary Marre]

When:     Monday, June 13th at 11:00 a.m.

Where:    TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526

Who:        Rayid Ghani, University of Chicago



Title: Machine learning for Public Policy and Social Good: Case Studies,
Challenges, and Opportunities

Abstract: Can machine learning help reduce police violence and misconduct?
Can it help prevent children from getting lead poisoning? Can it help
cities better target limited resources to improve lives of citizens? We're
all aware of the machine learning hype right now but turning this hype into
any social impact takes effort. In this talk, I'll discuss lessons learned
from our work at University of Chicago while working on dozens of projects
over the past few years with non-profits and governments on high-impact
social challenges. These lessons span from challenges these organizations
face when trying to use machine learning, to understanding how to
effectively train and build cross-disciplinary teams to do practical
machine learning, as well as what machine learning and social science
research challenges need to be tackled, and what tools and techniques need
to be developed in order to have a social and policy impact with machine
learning.

Bio: Rayid Ghani is the Director of the Center for Data Science & Public
Policy and a Senior Fellow at the Harris School of Public Policy and the
Computation Institute at the University of Chicago. Rayid is a reformed
computer scientist and wanna-be social scientist, but mostly just wants to
increase the use of data-driven approaches in solving large public policy
and social challenges. Before joining the University of Chicago, Rayid was
the Chief Scientist of the Obama 2012 Election Campaign where he focused on
data, analytics, and technology to target and influence voters, donors, and
volunteers.

Previously, Rayid was a Research Scientist and led the Machine Learning
group at Accenture Labs. Rayid did his graduate work in Machine Learning at
Carnegie Mellon University and is actively involved in organizing Data
Science related conferences and workshops. In his ample free time, Rayid
works with non-profits to help them with their data, analytics and digital
efforts and strategy.


Host: Greg Shakhnarovich, greg at ttic.edu



For more information on the colloquium series or to subscribe to the
mailing list, please see http://www.ttic.edu/colloquium.php


Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 504*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*

On Sun, Jun 12, 2016 at 4:49 PM, Mary Marre <mmarre at ttic.edu> wrote:

> When:     Monday, June 13th at 11:00 a.m.
>
> Where:    TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526
>
> Who:        Rayid Ghani, University of Chicago
>
>
>
> Title: Machine learning for Public Policy and Social Good: Case Studies,
> Challenges, and Opportunities
>
> Abstract: Can machine learning help reduce police violence and
> misconduct? Can it help prevent children from getting lead poisoning? Can
> it help cities better target limited resources to improve lives of
> citizens? We're all aware of the machine learning hype right now but
> turning this hype into any social impact takes effort. In this talk, I'll
> discuss lessons learned from our work at University of Chicago while
> working on dozens of projects over the past few years with non-profits and
> governments on high-impact social challenges. These lessons span from
> challenges these organizations face when trying to use machine learning, to
> understanding how to effectively train and build cross-disciplinary teams
> to do practical machine learning, as well as what machine learning and
> social science research challenges need to be tackled, and what tools and
> techniques need to be developed in order to have a social and policy impact
> with machine learning.
>
> Bio: Rayid Ghani is the Director of the Center for Data Science & Public
> Policy and a Senior Fellow at the Harris School of Public Policy and the
> Computation Institute at the University of Chicago. Rayid is a reformed
> computer scientist and wanna-be social scientist, but mostly just wants to
> increase the use of data-driven approaches in solving large public policy
> and social challenges. Before joining the University of Chicago, Rayid
> was the Chief Scientist of the Obama 2012 Election Campaign where he
> focused on data, analytics, and technology to target and influence voters,
> donors, and volunteers.
>
> Previously, Rayid was a Research Scientist and led the Machine Learning
> group at Accenture Labs. Rayid did his graduate work in Machine Learning at
> Carnegie Mellon University and is actively involved in organizing Data
> Science related conferences and workshops. In his ample free time, Rayid
> works with non-profits to help them with their data, analytics and digital
> efforts and strategy.
>
>
> Host: Greg Shakhnarovich, greg at ttic.edu
>
>
>
> For more information on the colloquium series or to subscribe to the
> mailing list, please see http://www.ttic.edu/colloquium.php
>
>
> Mary C. Marre
> Administrative Assistant
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Room 504*
> *Chicago, IL  60637*
> *p:(773) 834-1757 <%28773%29%20834-1757>*
> *f: (773) 357-6970 <%28773%29%20357-6970>*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
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