[UCR_DataScience] CANCELLED -- Data Science talk by Prof. Diogo Ferrari, Friday December 2nd, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

Please be advised that due to a last minute schedule conflict the Data 
Science Seminar for this Friday is cancelled. The talk by Prof. Ferrari 
has been rescheduled for March 3.

The Data Science Seminars will resume on Friday January 13th, 2023.

Enjoy the holiday break,

V. Tsotras


On 11/25/22 6:04 PM, tsotras at cs.ucr.edu wrote:
> The next Data Science seminar will be on Friday, December 2nd, 2022,
> 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-475368819937
>
> The talk will be given by Prof. Diogo Ferrari, Department of Political
> Science, UCR
>
> Title:
> Dealing with Latent Pre-exposure to Information Treatments
>
> Abstract:
> In Social Sciences, many experiments rely on responses to information
> treatments. Experimental subjects in the treatment group receive some
> information that subjects in the control group don't. Often, the
> proportion of people in the treatment and control groups who were
> pre-exposed to the information is unknown and uncontrolled by the
> researchers. If that pre-exposure is ignored, it can bias the treatment
> effect estimation and lead to incorrect conclusions. I propose two
> estimation procedures for latent pre-exposure in this paper. One combines
> designed-based and model-based methods and relies on ancillary sampling
> and predictive probability of pre-exposure. The other is data-driven and
> relies on exploring latent effect heterogeneity using unsupervised
> learning methods and Dirichlet Process models. I compare both approaches
> using a real application to investigate public attitudes toward government
> tax policies to reduce economic inequality.
>
>
> ------------------------------------
> Sponsored by the UCR Data Science Center, the purpose of the Data Science
> Seminars 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/seminars
>
> 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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