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#CDSM2025 is officially wrapped! 🎬 As organizers, we're deeply thankful for the passion, the questions, and the brilliant conversations you brought to this year's meeting. You're the reason this community keeps growing and evolving. See you next year! 👉 causalscience.org

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Kicking off the final session of this year's Causal Data Science Meeting with four fantastic talks on experimentation and A/B testing—featuring Ron Kohavi (independent), Instacart, Intuit, and Microsoft. #CDSM2025

Our keynote talk by Prof. Stefan Feuerriegel, head of the Institute for Artificial Intelligence in Managemen at LMU Munich, is coming up this afternoon at 16:20 – 17:40 (Copenhagen/Amsterdam time). Don't miss! 🚨

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Emily Riederer @emilyriederer.bsky.social · 13/11/2025

We'll soon be kicking off the second day of #CDSM2025 with a fantastic roster of speakers. See you all in the chat! 🚀

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Reposted by Causalscience.org

Favorite talks from day 1 of @causalscience.org 's #CDSM2025 🧵

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Causalscience.org @causalscience.org · 12/11/2025

Happening right now! It's not too late to log in an see these two giants debate live an extremely relevant topic for the #CausalAI community. #CDSM2025

Christopher Berry @cjpberry.bsky.social · 12/11/2025

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Waking up to #CDSM25 zombie firms. “Alternative Zombie Model” as a slide title. Brilliant.

Causalscience.org @causalscience.org · 12/11/2025

View from inside the vault at #CDSM2025. A big thanks to our vibrant community for their continuing support of the event! 😊🫶

Causalscience.org @causalscience.org · 12/11/2025

Great first session of #CDSM2025 with insightful presentations and engaging discussions. We'll be back for session #2 at 1 p.m. Amsterdam/Copenhagen time! 🚀

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Causalscience.org @causalscience.org · 11/11/2025

It’s almost time! 🚀 #CDSM2025 begins tomorrow with an exciting two-day program of talks and discussions. Zoom webinar links were sent out today — if you didn't get yours, drop us a message at contact(at)causalscience.org.

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Emily Riederer @emilyriederer.bsky.social · 09/11/2025

Truly one of the best data science events that I look forward to all year long! No sales, no hype, just exquisite thoughtful yet practical methods. Taking two days off work to attend. Don't miss out!

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Paul Hünermund @p-hunermund.com · 08/11/2025

⏰ Last chance to register for #CDSM2025! Don't miss your chance to join us Nov 12–13 for two days of talks & debates at the intersection of causality, data science & AI. 💻 Online | 🎟️ Free 👉 causalscience.org

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Aleksander Molak @alxndrmlk.bsky.social · 05/11/2025

For the last 50 years, we've designed cars to be safe... For the 50th-percentile male. Well, that's actually not 100% correct. According to Stanford's report**, we introduced "female" crash test dummies in the 1960s, but... 1/ #CausalSky #ScienceSky #MLSky #EpiSky #StatSky #AISky

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Paul Hünermund @p-hunermund.com · 03/11/2025

⏰ Only 1 week left to register for #CDSM2025! Join us Nov 12–13 for two days of talks & debates at the intersection of causality, data science & AI. 💻 Online | 🎟️ Free 👉 causalscience.org

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Causalscience.org @causalscience.org · 23/10/2025

🎉 The program for this year's Causal Data Science Meeting (#CDSM2025) is now live! 📅 Nov 12–13, 2025 | 💻 Online | 🎟️ Free registration Join us for two days of talks and debates at the intersection of causality, data science, and AI. 👉 causalscience.org

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Causalscience.org @causalscience.org · 06/06/2025

🚨 Call for Papers: Causal Data Science Meeting 2025 📅 November 12–13, 2025 (Virtual) 📥 Submit by Sept 30: submission@causalscience.org 🎙️ Keynote: Stefan Feuerriegel (LMU Munich) 🌐 More Info and registration: causalscience.org #CausalML #AI #DataScience #CDSM2025 #CanIPetThatDAG

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Causalscience.org @causalscience.org · 06/11/2024

Wrapping up #CDSM24 on a high note! 🎉 Our final session featured an engaging live interview between Ciarán M. Gilligan-Lee, Head of Causal Inference Research at Spotify, and Aleksander Molak. This insightful conversation will also be available as an episode on Alex's Causal Bandits podcast.

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Causalscience.org @causalscience.org · 06/11/2024

Day 2 of #CDSM24 is about to start at 13:00 CET! 🚨 www.causalscience.org#Programme

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Causalscience.org @causalscience.org · 05/11/2024

Day 1 of #CDSM24 wrapped up with an inspiring keynote from Professor Susan Athey! Looking forward to Day 2, packed with more causal data science insights, an industry roundtable, and a live podcast session. Don't miss it! Program: www.causalscience.org#Programme

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Prashant Garg @prashantgarg.bsky.social · 05/11/2024

Excited to present our work today at Causal Data Science Meeting @causalscience.org #CDSM24. Here's a thread. Amazing programme, with keynote by @susanathey.bsky.social !!

Causalscience.org @causalscience.org · 28/10/2024

🚨 One more week to register for the Causal Data Science Meeting 2024 (Nov 5–6)! Don't miss out — register for free on our website ▶ causalscience.org

causalscience.org

Causal Data Science Meeting - Home

Fostering a dialogue between industry and academia on causal data science.

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Emily Riederer @emilyriederer.bsky.social · 28/10/2024

Who all is excited for @causalscience.org 's annual Causal Data Science event next week? This is one of my favorite, thought-provoking, no-vendor affairs every year. This time headlined by @susanathey.bsky.social ! I'm hoping to make Bluesky my new place for livetweeting. Care to join me?

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Emily Riederer @emilyriederer.bsky.social · 16/11/2023

Threading a few of my favorite* "big ideas" from last week's @causalscience.org conference. Another fantastic year of thought-provoking yet thoroughly pragmatic talks! *strongly biased by "ability to attend" after waking up in the US and before work (1/n)

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Christopher Berry @cjpberry.bsky.social · 09/11/2023

Shoutout to Paul, Jermain, Carla and Beyers for organizing, curating, executing and DJ’ing it. #CDSM23 was fantastic!

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Patrick @patrickdoupe.bsky.social · 08/11/2023

An enjoyable conversation that was about 4 hours too short.

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This concludes the Causal Data Science Meeting 2023. Thanks to all the speakers and attendees for turning this event into a success. Our mission is to foster a dialogue between industry and academia on all things related to causal AI, and this year's program was another big step in that direction. 🎉

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Last session of CDSM '23 with an industry roundtable on the topics of A/B testing & experimentation and looking ahead from causal science to prescriptive intelligence. Thanks to all the panelists and Victor Zitian Chen and Scott Macmillan for hosting.

Start of the special contributed session on Large Language Models and Causality at CDSM '23. Amit Shama presents some novel results on this exciting topic coming out of Microsoft Research. ➡️ causalscience.org

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Patrick @patrickdoupe.bsky.social · 07/11/2023

Start of the 2nd day of #CDSM23. Tom Dudda from TU Dresden presenting preliminary results of a study (w/ Lars Hornuf) on the use of ML methods in top business and econ journals (FT50). On average, there seems to be relatively little gain in terms of accuracy compared to traditional benchmark models.

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@causalscience.org love the music

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This cocnludes the first day of CDSM '23. We'll be back tomorrow at 10:30 CET with a great program, including a special contributed session on LLMs and causality and an industry roundtable discussion on causal AI applications in practice. Good night everyone and see you tomorrow! 💤

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🚨 Coming up: Keynote address of CDSM '23 by Dominik Janzing from Amazon Science at 18:30 Copenhagen time

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Ehud Karavani @ehudk.bsky.social · 07/11/2023

💡 Rashni Sahoo from Stanford GSB presenting joint work with Lihua Lei and Stefan Wager Policy "Learning under Biased Sample Selection" at CDSM '23.

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#CDSM23 is acing the break-time playlist, now 3 years in a row @causalscience.org @p-hunermund.com

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Dmitri Goldenberg from Booking.com on Leveraging Causal Uplift Modeling for Budget Constrained Benefits Allocation #CDSM23

Emily Riederer @emilyriederer.bsky.social · 07/11/2023

💡 Second session of CDSM '23 with a focus on industry adoption and the organizational challenges around implementing causal AI in practice.

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#CDSM23 starts bright and early tomorrow! Fantastic line-up and thought-provoking, tight presentations every year. If you're interested in causal inference, don't miss out

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