PAST EDITIONS / 2021

CDSM 2021.

15–16 November 2021Online

Keynotes

Sara MagliacaneUniversity of Amsterdam & MIT-IBM Watson AI Lab

Guido ImbensStanford University

All past editions

15 November 2021

DAY 01 / ONLINE

Self-fulfilling Bandits: Endogeneity spillover and dynamic selection in algorithmic decision-making

Xiaowei Zhang (Hongkong University)

Off-policy learning of dynamic content promotions

Joel Persson (ETH Zürich)

Estimating returns to special education: Combining machine learning and text analysis to address confounding

Aurélien Sallin (St. Gallen University)

What’s on the telly? Causality for recommender systems in public-service media corporations

Jordi Mur (University of Barcelona)

Structural causal models are (solvable by) credal networks

Alessandro Antonucci (Dalle Molle Institute for Artificial Intelligence Research (IDSIA))

Estimating the probabilities of causation via deep monotonic twin networks

Ciarán Lee (Spotify Research)

Double machine learning for sample selection models

Martin Huber (University of Fribourg)

Positivity violation detection and explainability

Hanan Shteingart (Vian.ai)

Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment

Jason Poulos (Harvard Medical School)

Crime and mismeasured punishment: Marginal treatment effect with misclassification

Vitor Possebom (Yale University)

When should we (not) interpret linear IV estimands as LATE?

Tymon Sloczynski (Brandeis University)

Preferences and productivity in organizational matching: Theory and empirics from internal labor markets

Bo Cowgill (Columbia Business School)

Experimentation and startup performance: Evidence from A/B testing

Rem Koning (Harvard Business School)

The paper of how: Estimating treatment effects using the front-door criterion

Marc Bellemare (University of Minnesota)

Causal-driven machine learning at Uber scale: A case study

Okke van der Wal (Uber)

Generalizing experimental results by leveraging knowledge of mechanisms

Carlos Cinelli (University of Washington)

Keynote

Sara Magliacane (University of Amsterdam & MIT-IBM Watson AI Lab)

16 November 2021

DAY 02 / ONLINE

The impact of the #MeToo movement on language at court: A text-based causal inference approach

Henrika Langen (University of Fribourg)

Firm incentives and consumer adaption in a multi unit auction

Simon Schulten (Düsseldorf Institute for Competition Economics (DICE))

Drawing (causal) conclusions from data – some evidence

Karsten Lübke (FOM University of Applied Sciences)

End-to-end causal analysis in Python with cause2e

Daniel Gruenbaum (Osram)

The role of the propensity score in fixed effect models

Dmitry Arkhangelsky (Center for Monetary and Financial Studies (CEMFI))

The challenges of measuring the impact of interventions in brick-and-mortar stores

Patrick de Oude (Albert Heijn)

Longitudinal symptomatic interactions in long-standing schizophrenia: a novel five-point analysis based on directed acyclic graphs

Giusi Moffa (University of Basel)

Causal inference with proxy variables in Booking.com

Christina Katsimerou (Booking.com)

Treatment effects in strategic management: with an application to choosing early stage venture capital

Jorge Guzman (Columbia Business School)

Deep learning for individual heterogeneity: An automatic inference framework

Max Farrell (The University of Chicago Booth School of Business)

Causal knowledge graph: A demonstration

Victor Chen (University of North Carolina at Charlotte)

An empirical analysis of intra-firm product substitutability in fashion retailing

Nathan Yang (Cornell University)

The importance of being causal

Iavor Bojinov (Harvard Business School)

Desiderata for representation learning: A causal perspective

Yixin Wang (University of Michigan)

What experimental designs justify two-way-fixed-effects regression estimators

Lihua Lei (Stanford University)

CausalML: A Python package for uplift modeling and causal inference with machine learning

Zhenyu Zhao (Tencent, Toyota Research), Totte Harinen (Tencent, Toyota Research)

Keynote

A Design Approach to Synthetic Controls

Guido Imbens (Stanford University)