Causalscience.org

🚨 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

Huge thanks to everyone who contributed to making this workshop a success!

Special thanks to our sponsor Xplain Data GmbH for their continued support! 🙏

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.

Unfortunately we had some technical issues earlier. We restarted the webinar and now it should hopefully work?

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

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

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 !!

Causal Data Science Meeting - Home Fostering a dialogue between industry and academia on causal data science.

🚨 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

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?

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)

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

An enjoyable conversation that was about 4 hours too short.

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. 🎉

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

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.

@causalscience.org love the music

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! 💤

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

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

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

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

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

#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

CDSM '23 is about to start!!! 🙌🎉

Causal Data Science Meeting - Home Fostering a dialogue between industry and academia on causal data science.

Login links for CDSM '23 have been sent out. We're looking forward to a great workshop next week! 😊

Causal Data Science Meeting - Home Fostering a dialogue between industry and academia on causal data science.

🚨 Last chance to register for the Causal Data Science Meeting 2023! Registration is open (for free) at causalscience.org until tomorrow, Saturday, November 3rd, 3 p.m. CET. 🕒

Industry roundtable at CDSM '23

🚨 We look forward to another insightful industry roundtable at the Causal Data Science Meeting 2023. Sign up at causalscience.org ! Registration closes on Saturday, November 4th, at 3 p.m. Central European Time. 🕒

Our little guinea pig made it to bluesky... 😊

Hi #EconSky, we're now on Bluesky too! 📉📈🤗

Check out the program of the Causal Data Science Meeting 2023 (Nov 7–8) and sign up for free under: causalscience.org