[ds-undergrads] [Fwd: [UCR_DataScience] Data Science talk by Prof. Diogo Ferrari, Friday March 3rd, 12-1pm, MRB Seminar Room]

[tsotras at cs.ucr.edu]

Dear DS majors,
please find below information about the next data science seminar, this
Friday at noon. A very interesting talk about designing experiments in
social sciences. Please register with the link below if you plan to
attend.

thanks,
V. Tsotras


---------------------------- Original Message ----------------------------
Subject: [UCR_DataScience] Data Science talk by Prof. Diogo Ferrari,
Friday March 3rd, 12-1pm, MRB Seminar Room
From:    tsotras at cs.ucr.edu
Date:    Sat, February 25, 2023 9:23 pm
To:      datascience at lists.ucr.edu
--------------------------------------------------------------------------

The next Data Science seminar will be on Friday, March 3rd, 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-562690060117

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

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 (tsotras at cs.ucr.edu).

Sincerely,
Vassilis Tsotras
Professor, CSE Department
Director, Data Science Major



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