Students & researchers
Discuss new methods and their use in causal inference and machine learning.
Our Annual Conference.
Causal data science,
where research
meets practice.
4–5 November 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 500+ pre-registered participants. Free to attend.
Looking ahead / 2027 In-person satellite event in GermanyOur university sponsors
5 November 2026 / KeynoteMeet the keynote
Teppo Felin
University of Utah
David Eccles School of Business
4 November 2026 / DebateMeet the debaters
In debate.
Nick Huntington-KleinSeattle University
Vasilis SyrgkanisStanford University
4–5 November / OnlineProgramme
Programme & speakers
Programme
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 organisations 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.
CDSM began in 2020 as a workshop planned for 50 attendees. We received 900 pre-registrations that year and have held the meeting annually since.
Sharing and advancing causal methods in research and practice is at the heart of CDSM. We bring researchers and practitioners together in a casual setting to present their work, exchange ideas and ask questions.
CDSM is a non-profit event. 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 12 November.
The people
behind CDSM.
Jointly organised 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
Kranthi K.
TUM Campus Heilbronn
Henry Schoeller
TUM Campus Heilbronn
Vera Wilde
TUM Campus Heilbronn
Dominik Pöltl
TUM Campus Heilbronn
Questions,
answered.
Practical information about the meeting.
Is the 2026 meeting online?
Yes. CDSM 2026 takes place online on 4–5 November. 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.
2027 / In-person satellite event
GermanyMeet in
Germany.
An in-person CDSM satellite event in Germany, planned for 2027. The annual online meeting will continue alongside it.
Get 2027 updatesDates and location to be announced.
2027