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Jermain Kaminski

@jermainkaminski.bsky.social
685 followers 335 following 20 posts

Assistant Professor in Entrepreneurship & Innovation 🇳🇱 Maastricht University. Writing about entrepreneurs and (causal) machine learning. UWH, RWTH, MIT. Co-Founder causalscience.org, Team @AOM_TIM.

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Reposted by Jermain Kaminski
Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social · 16/12/2025
A fantastic opportunity to join us in #Amsterdam for some hardcore #uncertainty in #AI 🦾🚲🌷✖️✖️✖️ #causality #tractable #probabilistic #models #neurosymbolic #imprecise #probabilities #statistical #methods and more
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Jermain Kaminski @jermainkaminski.bsky.social · 17/11/2025
quantamagazine.org
How Your Brain Creates ‘Aha’ Moments and Why They Stick | Quanta Magazine
A sudden flash of insight is a product of your brain. Neuroscientists track the neural activity underlying an “aha” and how it might boost memory.
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Reposted by Jermain Kaminski
Christopher @gatodohq.bsky.social · 13/11/2025
Thank you to Paul Hünermund @p-hunermund.com , Jermain Kaminski @jermainkaminski.bsky.social, Carla Schmitt, and Beyers Louw for organizing the #CDSM25 event again this year. Well facilitated, great speakers and I loved the 80 minute poster talk sprint! I learned a lot.
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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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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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Per Engzell @pengzell.bsky.social · 17/10/2025
We live in an age of titans
When Should You Adjust Standard Errors for Clustering?Cluster-robust inference: A guide to empirical practice
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Klaus Pforr @klauspforr.eurosky.social · 17/10/2025
the causal inference crowd should set up a WeRateDags account
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Reposted by Jermain Kaminski
Anne Carpenter @drannecarpenter.bsky.social · 10/10/2025
15 years in the making, we confirmed that mitochondria - the powerhouse of the cell - have an unusual localization in patients who experience psychosis (including schizophrenia and bipolar disorders). You’ll never guess what kind of patient cells we used to make this discovery… 🧵
mitochondria from bipolar patients are closer to the nucleus in these images; control patients' are spread out further
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Jermain Kaminski @jermainkaminski.bsky.social · 08/09/2025
Rankings are always reductive and oversimplified. Except this one that just put us at #1, which is clearly based on rigorous methodology. www.maastrichtuniversity.nl/news/financi...
maastrichtuniversity.nl
Financial Times MiM Ranking 2025: Maastricht University SBE #1 in the Netherlands, Top 100 Worldwide
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Reposted by Jermain Kaminski
Max-Planck-Gesellschaft @maxplanck.de · 01/09/2025
The #MaxPlanckPostdocProgram offers a guaranteed contract of at least 3 years, targeted mentoring, and career workshops. The call for applications is open now! 🚀 Take advantage of this opportunity and browse the job vacancies. www.mpg.de/en/max-planc...
Group photo of postdocs conducting research at a Max Planck Institute
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Python Software Foundation @python.org · 27/08/2025
Tomorrow at 5pm UTC Python: The Documentary produced by @cultrepo.bsky.social premieres on YouTube! 🎬🐍 From a side project in Amsterdam to a language shaping the world— discover the story of #Python. Featuring Guido van Rossum & many more! www.youtube.com/watch?v=GfH4...
youtube.com
Python: The Documentary | An origin story
This is the story of the world's most beloved programming language: Python. What began as a side project in Amsterdam during the 1990s became the software powering artificial intelligence, data science and some of the world’s biggest companies. But Python's future wasn't certain; at one point it almost disappeared. This 90-minute documentary features Guido van Rossum, Travis Oliphant, Barry Warsaw, and many more, and they tell the story of Python’s rise, its community-driven evolution, the conflicts that almost tore it apart, and the language’s impact on... well… everything. Thanks to our sponsors for making this documentary possible: Anaconda: https://www.anaconda.com/ @AnacondaInc. Dropbox: https://www.dropbox.com/ @Dropbox Meta: https://opensource.fb.com/ @FacebookOpenSource OpenTeams: https://openteams.com/ @openteams PyCharm: https://www.jetbrains.com/pycharm/ @PyCharmIDE Quansight: https://quansight.com/ @quansight And to all the amazing people who are featured: Armin Ronacher, Barry Warsaw, Benjamin Peterson, Brett Cannon, Drew Houston, Guido van Rossum, Jessica McKellar, Ken Manheimer, Lambert Meertens, Lisa Guo, Lisa Roach, Mariatta Wijaya, Paul...
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Reposted by Jermain Kaminski
Paul Hünermund @p-hunermund.com · 30/08/2025
We're mostly relying on social media for outreach. So we'd be very grateful if you could share. Thanks! 🙏
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Jermain Kaminski @jermainkaminski.bsky.social · 30/08/2025
Interesting new paper on “A Dozen Challenges in Causality and Causal Inference.” After 30+ years of progress in causal inference, the authors lay out the biggest challenges in current research. Good teaching resource! @guidoimbens.bsky.social @smaglia.bsky.social arxiv.org/pdf/2508.170...
arxiv.org
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Jermain Kaminski @jermainkaminski.bsky.social · 06/08/2025
Coding county-level data in Virginia is interesting. In Virginia, 38 independent cities are not part of any county and are treated as county-equivalents by the U.S. Census Bureau. Also, South Boston is a VA town. #FIPS
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Jermain Kaminski @jermainkaminski.bsky.social · 06/06/2025
Our Call for Papers is out ☺️
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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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Emily Riederer @emilyriederer.bsky.social · 06/06/2025
I cannot overstate how great CDSM is. Please apply to speak at my favorite conf so I can come listen to you at 5A Chicago time 👀 #datasky
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Jermain Kaminski @jermainkaminski.bsky.social · 05/05/2025
Remembering on Liberation Day 🇳🇱. The soldiers at Margraten, NL, many in their 20s and 30s, fought and died for our freedom. Their sacrifice reminds us: freedom has a price, we must always be prepared to defend it.
A picture of the American Cemetery at Margraten, NL.
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Jermain Kaminski @jermainkaminski.bsky.social · 24/04/2025
They say don’t judge a book by its cover, but ... business journals really dress like they’re in witness protection program.
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Stephen Wild @stephenjwild.bsky.social · 24/11/2024
Here is a nice new one www.cambridge.org/core/journal...
cambridge.org
Methods in causal inference. Part 1: causal diagrams and confounding | Evolutionary Human Sciences | Cambridge Core
Methods in causal inference. Part 1: causal diagrams and confounding - Volume 6
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Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 19/11/2024
Theorist bridge trolls barking at you to formally connect theory to data? Wondering how, without troll magic? We can help! "Bridging theory and data: A computational workflow for cultural evolution" With @dominikdeffner.bsky.social @natyfedorova.bsky.social Jeff Andrews. www.pnas.org/doi/10.1073/...
Illustration of a computational workflow for cultural evolution that connects abstract theory to real-world data. The arrows indicate logical and computational dependencies among theoretical, statistical, and scientific elements of a project. For example, an effective inferential model depends upon generative models, a question about those models (estimand), and the structure of the available evidence (sample).
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Martin Huber @causalhuber.bsky.social · 12/07/2024
🔥Check out my survey on causal discovery (learning causality in a system of variables in a data-driven manner): arxiv.org/abs/2407.08602
arxiv.org
An Introduction to Causal Discovery
In social sciences and economics, causal inference traditionally focuses on assessing the impact of predefined treatments (or interventions) on predefined outcomes, such as the effect of education...
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Dariia Mykhailyshyna @dariia.bsky.social · 04/11/2023
On December 7th, we will have a workshop on Intro to Directed Acyclic Graphs in #Python by @jermainkaminski.bsky.social and@p-hunermund.com More info: bit.ly/46dZV1x Please share! #EconSky #AcademicSky #DataSkyence
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Jermain Kaminski @jermainkaminski.bsky.social · 11/11/2023
Join our team at Maastricht University for a PhD in Experimental Research in Entrepreneurship. Explore cutting-edge methods, receive solid training, and engage in innovative research. 🎓 Master's degree required. Apply now until December 1, 2023. vacancies.maastrichtuniversity.nl/job/Maastric...
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Jermain Kaminski @jermainkaminski.bsky.social · 01/11/2023
We’re happy to report now 1,800 pre-registrations. If you like to attend in full, or visit only the keynote and panels, it’s your chance. Registration closes on Saturday, November 4th, at 3 p.m. Central European Time. 🕒
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Causalscience.org @causalscience.org · 31/10/2023
🚨 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. 🕒
Industry roundtable at CDSM '23
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Jermain Kaminski @jermainkaminski.bsky.social · 15/10/2023
The program of the Causal Data Science Meeting 2023 (Nov 7–8) is now available on our website. Check out the fantastic set of presentations and register for free at causalscience.org. Co-organized with Paul Hünermund, Carla Schmitt, and Beyers Louw.
causalscience.org
Causal Data Science Meeting - Home
Fostering a dialogue between industry and academia on causal data science.
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