Code Mit Plenary Session 4 Information & Updates

Introduction of Code Mit Plenary Session 4

Code Mit Plenary Session 4

Good afternoon and um welcome to our our afternoon uh Peng Ding – Associate Professor, UC Berkeley “Causal Inference in Network Experiments: Regression-Based Analysis and ... Optimal Design of Experiments on Social Networks. Edo Airoldi (Harvard University) Trustworthy Results: Pitfalls in Online ... Tesary Lin – Assistant Professor, Boston University Revealing Privacy Preferences: Experimental Insights on Consumer Data ... Creating Effective Creatives - Hardships & Opportunities. Claudia Perlich (Dstillery) The Effects of Expanding Digital Access in ... Ramesh Johari – Professor, Management Science and Engineering, Stanford University Hongseok Namkoong – Assistant ...

Martin Tingley – Netflix, “A Tale of Complexity: Report from the Causal Inference and Digital Experimentation Roundtable ... Yan Chen – Daniel Kahneman Collegiate Professor of Information, University of Michigan Sherry Jueyu Wu – Assistant Professor, ... Iavor Bojinov – Associate Professor, Harvard Business School Emil Palikot – Assistant Professor, Northeastern. ... to fruition in that um we we ended up right with these sort of clear winners and reserved

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