Code Mit 2023 Plenary Session

Media Summary: Martin Tingley – Netflix, “A Tale of Complexity: Report from the Causal Inference and Digital Experimentation Roundtable ... Jorge Guzman – Gantcher Associate Professor of Business, Columbia University & NBER, “Climate change framing and innovator ... Hema Yoganarasimhan – Professor, University of Washington “A Bias Correction Approach for Interference in Ranking ...

Code Mit 2023 Plenary Session - Detailed Analysis & Overview

Martin Tingley – Netflix, “A Tale of Complexity: Report from the Causal Inference and Digital Experimentation Roundtable ... Jorge Guzman – Gantcher Associate Professor of Business, Columbia University & NBER, “Climate change framing and innovator ... Hema Yoganarasimhan – Professor, University of Washington “A Bias Correction Approach for Interference in Ranking ... Peng Ding – Associate Professor, UC Berkeley “Causal Inference in Network Experiments: Regression-Based Analysis and ... Ramesh Johari – Professor, Management Science and Engineering, Stanford University Hongseok Namkoong – Assistant ... Payel Das – Principal Research Staff Member and Manager, Trusted AI, IBM Research Xiao Ma – Software Engineer, Google ...

Iavor Bojinov – Associate Professor, Harvard Business School Emil Palikot – Assistant Professor, Northeastern. Yan Chen – Daniel Kahneman Collegiate Professor of Information, University of Michigan Sherry Jueyu Wu – Assistant Professor, ... Closing plenary - Building the Tech We Want: Humans at the Center Johan Ugander – Associate Professor, Stanford School of Engineering Counterfactual Evaluation of Peer-Review Assignment ... Welcome to Benzinga's PreMarket Playbook! Start Your Trading Day Right – Every Weekday at 8AM ET What to Expect: Stock ...