Data Science Talk

Vassilis Tsotras (organizer)

Multidisciplinary Research Building (MRB) Seminar Room,

Sponsored by the Data Science Center, the purpose of the Data Science Seminar is to foster collaborations between the core Data Science faculty (CSE/ECE/STAT) and faculty from other sciences that face Data Science problems in their research. After the talk, there will be time for discussions.---CANCELLED --- The talk will be given by Prof. Diogo Ferrari, Department of Political Science, UCRTITLE:Dealing with Latent Pre-exposure to Information TreatmentsABSTRACT: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.*** Pizza and refreshments will be provided! ***

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Data Science Talk

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Data Science Talk

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