I'm happy to announce that the Virtual Conference Website for this year's West Coast Experiments (WCE) Conference is available here:

Click here<http://spp.ucr.edu/wce2017/> for the WCE 2017 virtual conference website (or paste in http://spp.ucr.edu/wce2017/ to your browser).

The Virtual Conference website has videos of the talks as well as some of the papers and presentations.  Click on the "Program" tab to see the presentation videos.


The WCE 2017 program is/was as follows:


***

Sunday, April 23, 2017

Training workshop on causal graphs. Instructors: Elias Bareinboim and Judea Pearl.

Monday, April 24, 2017

First Panel: Modeling, Graphs, and Machine Learning

  *   Judea Pearl (UCLA Computer Science and Statistics) Eight Pillars of Causal Wisdom (or, what you can do with a graphical model that you cannot do without).
  *   Rosa Matzkin (UCLA Economics) Identification in simultaneous equation models
  *   Niall Cardin (Google) Causal inference for machine learning systems that make decisions: The simple power of randomization
Keynote Presentation

  *   Angus Deaton (Princeton Economics) Understanding and misunderstanding randomized controlled trials
Second Panel: Causal Inference in Econometrics Training

  *   Chris Auld (University of Victoria Economics) Trends in econometric pedagogy (no discussion)
  *   Adnan Darwiche (UCLA Computer Science) On Model-Based versus Model-Blind Approaches to Artificial Intelligence
  *   Ed Leamer (UCLA Economics) Open discussion, causal inference in econometric education
Third Panel: Identification in RCTs and Observational Designs

  *   Karim Chalak (UVa Economics) Measurement Error without Exclusion: the Returns to College Selectivity and Characteristics
  *   Rodrigo Pinto (UCLA Economics) Randomized Biased-controlled Trials: Connecting Incentives and RCTs

Tuesday, April 25, 2017

Fourth Panel: Graphs and Bayes Nets: Theory and Applications


  *   Clark Glymour (Carnegie Mellon Philosophy) Explanatory Research vs Confirmatory Research: Undoing Ioannidis' Argument
  *   Elias Barenboim (Purdue Computer Science) Causal Inference and the Data-Fusion Problem
  *   Adam Glynn (Emory Political Science) Front-door approaches to causal inference without control units
  *   Karthika Mohan (UCLA Computer Science) Missing Data as a Causal Inference Problem -- New Results






Kevin M. Esterling
Professor of Political Science
Professor of Public Policy
UC Riverside
900 University Ave.
Riverside, CA 92521
951-827-4302
http://www.politicalscience.ucr.edu/people/faculty/esterling/

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