Students & Researchers
Discuss new methods and their use in causal inference and machine learning.
The annual meeting, open to everyone.
Causal Data Science,
Where Research
Meets Practice.
November 4–5, 2026 / online
Two days of talks and discussion on causal data science, machine learning and AI, with researchers and practitioners from academia and industry. Join 550+ pre-registered participants. Free to attend.
Looking ahead / 2027 In-person satellite event in GermanyOur University Sponsors
November 5, 2026 / KeynoteMeet the keynote
Teppo Felin
University of Utah
David Eccles School of Business
November 4, 2026 / DebateMeet the debaters
In Debate.
Nick Huntington-KleinSeattle University
Vasilis SyrgkanisStanford University
November 4–5 / OnlineProgram
Program & Speakers
Program
2026
Talks, research and discussion.
Who You’ll
Meet.
Researchers, students and practitioners meeting online to discuss their work and learn from each other.
Industry Professionals
Share applications of causal methods, from product experiments to business decisions.
Policy Makers
Discuss how causal methods can support explainability and help assess fairness and discrimination.
Participants Worldwide
More than 6,100 people have taken part since the first meeting in 2020.
Photography / Unsplash
- Students & researchers: Vitaly Gariev / Unsplash
- Industry professionals: Vitaly Gariev / Unsplash
- Policy makers: Vitaly Gariev / Unsplash
- Participants worldwide: Surface / Unsplash
A Meeting of Experts
in Academia and Industry.
Researchers and practitioners who have spoken at previous meetings.
Judea Pearl
UCLA
Silvia Chiappa
Google DeepMind
Guido Imbens
Stanford University
Sara Magliacane
Amsterdam Machine Learning Lab
Elias Bareinboim
Columbia University
Sean Taylor
OpenAI
Dominik Janzing
Amazon Research
Susan Athey
Stanford University
Stefan Feuerriegel
LMU Munich
Participants
Across Industry.
Participants join from technology, healthcare, retail, finance and consulting, alongside university researchers. They bring questions from their day-to-day work: how to design better experiments, understand cause and effect, and use causal methods in practice. Here are some of the organizations represented at past meetings.
Albert Heijn
Airbnb
Amazon
Accenture
Apple
Boehringer Ingelheim
Novartis
CNN
Google
Booking.com
Intel
Lyft
NVIDIA
Netflix
McLaren
Microsoft
LinkedIn
McKinsey
Pfizer
Sony
Spotify
Bosch
Salesforce
Uber
Total
Visa
Walmart
BCG
trivago
ZalandoAbout
the Meeting.
Since 2020, sharing and advancing causal methods in research and practice has been at the heart of CDSM. We bring researchers and practitioners together in a casual setting to present their work, exchange ideas and ask questions.
The Causal Data Science Meeting is a non-profit conference. Sponsorship supports operating expenses and PhD research.
6,100+participants since 2020
52%industry participants since 2020
206research presentations since 2020
28%presentation acceptance rate
Voices from
the Meeting.
Comments from speakers and participants at previous meetings.
“I am thrilled to see people from different disciplines come together.”
Guido ImbensStanford University2021 Nobel Memorial Prize in Economic Sciences
“… data science is the science of interpreting reality, not of summarizing data.”
Judea PearlUCLA / Turing Award recipientAuthor of The Book of Why
“This has been one of my favorite virtual events since the first iteration in 2020”
“… interesting and important presentations uniting experts from both academia and industry.”
“Thank you for organizing this wonderful event and the invitation”
CDSM is recognised alongside ACIC, EuroCIM and CLeaR as an annual conference devoted to causal inference.
Causal Bandits Podcast
Listen to
Causal Bandits.
Conversations on causal inference, causal AI and machine learning, hosted by Aleksander Molak.
Featured Episode at CDSM 2025
Do Heterogeneous Treatment Effects Exist?
With Stephen Senn and Richard Hahn
Recorded during the 2025 meeting, on November 12.
The People
Behind CDSM.
Jointly organized by researchers at Maastricht University, Rotterdam School of Management and the Technical University of Munich.
Paul Hünermund
Professor — TUM Campus Heilbronn
Jermain Kaminski
Assistant Professor — Maastricht University
Beyers Louw
Assistant Professor — Rotterdam School of Management
Also on the Team
Kranthi KamsanpalliTUM Campus HeilbronnHenry SchoellerTUM Campus HeilbronnVera WildeTUM Campus HeilbronnDominik PöltlTUM Campus Heilbronn
2027 / In-Person Satellite Event
GermanyMeet in Germany
in 2027.
An in-person CDSM satellite event in Germany, planned for 2027. The annual online meeting will continue alongside it.
Get 2027 UpdatesDate to be announced.
Questions,
Answered.
Practical information about the meeting.
Is the 2026 meeting online?
Yes. CDSM 2026 takes place online on November 4–5. A link to the online meeting will be provided to registered attendees.
Can I still submit a paper?
The call for papers is closed. For questions about an existing submission, contact submission@causalscience.org.
Is attendance free?
Yes. The 2026 online meeting is free to attend, thanks to our sponsors.