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Causal Data Science Meeting 2022 – Call for Papers

Posted September 1, 2022 by Paul Hünermund and Jermain Kaminski ‐ 2 min read

The Causal Data Science Meeting 2022 (Nov 7–8, 2022) aims to establish an interdisciplinary dialogue between academics and business experts on causal inference methods & applications.

The Meeting

Causality has long been an important topic in various disciplines such as computer science, economics, social sciences, epidemiology, and philosophy. In recent years, interest grew also in the business sector with both experimental (A/B testing, reinforcement learning, etc.) and observational causal inference methods (regression methods, instrumental variables, discontinuity designs, causal discovery, etc.) being increasingly applied by practitioners (see various examples on our blog). After the overwhelming success of last year, with more than 1,200 registered participants, we are proud to announce the Causal Data Science Meeting 2022. This two-day virtual conference will bring together academics and data scientists from industry to discuss the latest methodological advances as well as practical aspects and organizational challenges around the adoption of causal ML tools.

The workshop features invited talks and presentations of accepted proposals. Topics of interest include, but are not limited to:

  • Causal machine learning and artificial intelligence
  • Data-augmented business decision-making
  • Applications of causal inference, e.g., in management, entrepreneurship, innovation, marketing, economics, and finance
  • Organizational challenges & best practice examples with respect to the adoption of causal inference in industry
  • Experimentation & A/B testing
  • Applications of Directed Acyclic Graphs and Causal Discovery
  • Causal inference methods in econometrics & statistics
  • (Open Source) Software for causal inference
  • Talks on challenges of practitioners in applying causal inference


  • Judea Pearl, Professor of Computer Science and Director of the Cognitive Systems Lab, UCLA
  • Silvia Chiappa, Senior Staff Research Scientist at DeepMind and Honorary Professor, UCL

Workshop Date

November 7–8, 2022 (13:00–20:00 Central European Time). The workshop will be online, jointly organized by Maastricht University and Copenhagen Business School.

Submission Deadline

October 2, 2022

Acceptance Notification

October 9, 2022


Please submit your extended abstract or full paper to submission@causalscience.org. Dual submissions are permitted, i.e. your work is allowed to be previously presented or published at other venues.

We do not publish conference proceedings. Our focus is on disseminating ideas between academia and industry. Therefore, we deliberately designed CDSM to be a rather informal meeting, enabling everyone to present their most recent and potentially previously presented work. We encourage uploading presentation slides to the website after the conference, but it is not mandatory.


Participation is for free. If you want to register as a participant, without presenting, please follow the link:


If your company likes to sponsor this event, please contact us at contact@causalscience.org.

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Header image by DeepMind on Unsplash

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