About the Meeting
We want to create a platform for knowledge exchange between industry and academia to help causal data science applications diffuse more widely into practice.
Causality has long been an important topic in various disciplines such as computer science, economics, social science, epidemiology, and philosophy. In recent years, however, an increasing interest emerged 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 applied more frequently by practitioners. After the overwhelming success of the first CDSM in 2020, with more than 900 registered participants, we are proud to announce this year’s iteration of the Causal Data Science Meeting. This two-day online workshop 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 inference tools.
The meeting features invited talks and presentations of accepted papers. Topics of interest include, but are not limited, to the following:
- Applications of causal inference, e.g., in management, entrepreneurship, innovation, marketing, economics, and finance
- Causal machine learning and artificial intelligence
- Data-augmented business decision-making
- 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
- Econometric methods & Statistics
- (Open Source) Software for causal inference
November 15–16, 2021 (13:00–20:00 Central European Time). The workshop will be online, jointly organized by Maastricht University and Copenhagen Business School.
September 30, 2021
October 10, 2021
Please submit your extended abstract or full paper to email@example.com. Dual submissions are permitted, i.e. your work is allowed to be previously presented or published.
We do not publish conference proceedings.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.