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Jorge Guzman – Gantcher Associate Professor of Business, Columbia University & NBER, “Climate change framing and innovator ...

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Last Updated: June 13, 2026

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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 Retention Futility: Targeting High-Risk Customers Might Be Ineffective. Eva Ascarza (Harvard Business School) Transfer Learning ... Panelists: Lili Dworkin, Engineering Manager, . Ronny Kohavi, Vice President and Technical Fellow, Airbnb.Jeffrey ...

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CODE@MIT: Plenary Session 4

CODE@MIT: Plenary Session 4

68 views • Live Report

Good afternoon and um welcome to our our afternoon uh

CODE@MIT 2023 Plenary Session 4: Peng Ding and Hannah Li

CODE@MIT 2023 Plenary Session 4: Peng Ding and Hannah Li

1,549 views • Live Report

Peng Ding – Associate Professor, UC Berkeley “Causal Inference in Network Experiments: Regression-Based Analysis and ...

2016 CODE Plenary Session 4: Edo Airoldi and Ron Kohavi

2016 CODE Plenary Session 4: Edo Airoldi and Ron Kohavi

1,062 views • Live Report

Optimal Design of Experiments on Social Networks. Edo Airoldi (Harvard University) Trustworthy Results: Pitfalls in Online ...

MIT CODE 2024 Plenary Session 4: Tesary Lin and David Choi

MIT CODE 2024 Plenary Session 4: Tesary Lin and David Choi

195 views • Live Report

Tesary Lin – Assistant Professor, Boston University Revealing Privacy Preferences: Experimental Insights on Consumer Data ...

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