[UCR_DataScience] REMINDER - Data Science talk by Prof. Soojin Park, tomorrow Friday June 3rd, 12-1pm, MRB Seminar Room

[tsotras at cs.ucr.edu]

Reminder about the Data Science Seminar by Prof. Soojin Park, tomorrow
Friday at noon. This will be the last seminar for this quarter, enjoy the
summer!

Please register using the link below if you plan to attend.

V. Tsotras

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> The next Data Science talk will be on Friday June 3rd, 2022, from
> 12:00-1:00pm at the MRB Seminar Room (1st floor).
>
> **** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/data-science-talk-tickets-350752198267
>
> The talk will be given by Prof. Soojin Park, School of Education, UCR
>
> Title: Estimation and Sensitivity Analysis for Causal Decomposition:
> Assessing Robustness Toward Omitted Variable Bias.
>
> Abstract:
>
> A key objective of decomposition analysis is to identify risks or
> resources (‘mediators’) that contribute to disparities between groups
> of
> individuals defined by social characteristics such as race, ethnicity,
> gender, class, and sexual orientations. In decomposition analysis, a
> scholarly interest often centers on estimating how much the disparity
> (e.g., health disparities between Black women and White men) would be
> reduced/remain if we set the mediator (e.g., education) distribution of
> one social group equal to another. However, causally identifying disparity
> reduction and remaining depends on the no omitted mediator-outcome
> confounding assumption, which is not empirically testable. In this talk,
> we discuss a flexible way to 1) estimate disparity reduction and remaining
> and 2) assess the robustness of the estimates to the possible violation of
> no omitted mediator-outcome confounding. We apply the proposed methods to
> an empirical example, examining the contribution of education in reducing
> health disparities across race-gender groups. Our proposed methods are
> available as open-source software (‘causal.decomp’ R package)
>
> Joint work with Suyeon Kang, Chioun Lee, and Shujie Ma
>
>
> ------------------------------------
> Sponsored by the UCR Data Science Center, the purpose of the Data Science
> talks is to foster collaborations between "core" Data Science faculty
> (from CSE/ECE/Stat Departments) and faculty/visitors from other sciences
> that face Data Science problems in their research. These informal
> gatherings are open to interested faculty and graduate students. Each
> meeting will start with a talk describing research problems and then a
> discussion will follow for questions, open problems, ideas for possible
> collaborations etc.
>
> A full list of previous seminars appears at:
> http://datascience.ucr.edu/news
>
> Please forward this email to other colleagues or graduate students in your
> lab that may be interested.
>
> Moreover, if you are interested in giving a Data Science related talk,
> please contact me.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> Director, Data Science Major
>
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