[Theory] TODAY: 11/7 TTIC Colloquium: Elisa Celis, Yale University

[Mary Marre]

*When:*        Monday, November 7th at* 11:30 am CT*

*Where:*     Speaker will be virtual (*register in advance here
<https://uchicagogroup.zoom.us/webinar/register/WN_pz3sg3lqTtqF4Wkhrga6-Q>*)



*Where:      Virtual t**alk can be viewed at **TTIC, *
                   6045 S. Kenwood Avenue

                   *5th Floor, Room 530 *


*Who: *        Elisa Celis, Yale University


------------------------------

*Title:*         Mitigating Bias in Data Science
*Abstract:* Social systems are fueled by machine learning algorithms that
facilitate and control connections and information. Simultaneously,
computational systems are fueled by people and their data. Consequently,
there is a pressing need to design new algorithms that are socially
responsible in how they learn, gather, and propagate information. In this
talk, we will discuss the emergence of bias in data and algorithmic
decision-making and present some steps toward mitigating potential harms.
This work leads to new algorithms that have the ability to alleviate bias
and increase diversity while often simultaneously maintaining their
theoretical or empirical performance with respect to the original metrics.

*Bio: *Elisa Celis is an Assistant Professor in the Department of
Statistics and Data Science at Yale University. Previously, she worked as a
Research Scientist at Xerox Research where she was the worldwide head of
the Crowdsourcing and Human Computation research thrust, and as a Senior
Research Scientist at EPFL in Switzerland where she helped design a fair
committee selection process for an election in Switzerland. She received a
B.Sci. degree in Computer Science and Mathematics from Harvey Mudd College
and a Ph.D. in Computer Science from the University of Washington. Her
research focuses on studying social and economic questions that arise in
the context of the Internet and her work spans multiple areas including
fairness in AI/ML, social computing, online learning, network science, and
mechanism design.

*Host: Avrim Blum <avrim 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
Faculty Administrative Support
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Chicago, IL  60637*
*mmarre at ttic.edu <mmarre at ttic.edu>*


On Thu, Nov 3, 2022 at 2:20 PM Mary Marre <mmarre at ttic.edu> wrote:

> *When:*        Monday, November 7th at* 11:30 am CT*
>
> *Where:*     Speaker will be virtual (*register in advance here
> <https://uchicagogroup.zoom.us/webinar/register/WN_pz3sg3lqTtqF4Wkhrga6-Q>*
> )
>
>
> *Where:      Virtual t**alk can be viewed at **TTIC, *
>                    6045 S. Kenwood Avenue
>
>                    *5th Floor, Room 530 *
>
>
> *Who: *        Elisa Celis, Yale University
>
>
> ------------------------------
>
> *Title:*         Mitigating Bias in Data Science
> *Abstract:* Social systems are fueled by machine learning algorithms that
> facilitate and control connections and information. Simultaneously,
> computational systems are fueled by people and their data. Consequently,
> there is a pressing need to design new algorithms that are socially
> responsible in how they learn, gather, and propagate information. In this
> talk, we will discuss the emergence of bias in data and algorithmic
> decision-making and present some steps toward mitigating potential harms.
> This work leads to new algorithms that have the ability to alleviate bias
> and increase diversity while often simultaneously maintaining their
> theoretical or empirical performance with respect to the original metrics.
>
> *Bio: *Elisa Celis is an Assistant Professor in the Department of
> Statistics and Data Science at Yale University. Previously, she worked as a
> Research Scientist at Xerox Research where she was the worldwide head of
> the Crowdsourcing and Human Computation research thrust, and as a Senior
> Research Scientist at EPFL in Switzerland where she helped design a fair
> committee selection process for an election in Switzerland. She received a
> B.Sci. degree in Computer Science and Mathematics from Harvey Mudd College
> and a Ph.D. in Computer Science from the University of Washington. Her
> research focuses on studying social and economic questions that arise in
> the context of the Internet and her work spans multiple areas including
> fairness in AI/ML, social computing, online learning, network science, and
> mechanism design.
>
> *Host: Avrim Blum <avrim 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
> Faculty Administrative Support
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Chicago, IL  60637*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
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