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milkos.bsky.social
I try to discover how we discover, to help others discover! Master^3(Philosophy, Cognitive Science, Management & Leadership) PhD candidate researching scientific practices with causal discovery algorithms I love dancing:)
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AI for science could be more impactful than chatbots. It is already helping win Nobel prizes and accelerating drug development and materials discovery. Today we published an essay about it: why it matters, how it’s happening and its implications. Here is a summary from an econ / social sci lens.

How hard is cognitive science? 🎬📽🍿 Video: m.youtube.com/watch?v=2bdK... 📖 Paper version: psyarxiv.com/k79nv/ Summary in #PaperThread below 🧵 1/n

More evidence that peer review penalizes academic risk-taking from a new paper Pierre Azoulay and Wesley H. Greenblatt: "Does Peer Review Penalize Scientific Risk Taking? Evidence from NIH Grant Renewals." www.nber.org/papers/w33495

A revised version of "Minimum Viable Experiment to Replicate" is up, where we expound why standard expectations from replications are unrealistic and experiments that may deliver on those replications are rare, if not nonexistent. #metasci #sts #philsci philsci-archive.pitt.edu/24720/7/Mini...

"Reliability and validity are important properties for research methods to have. Yet, we also show that reliability and validity fall short of other epistemic virtues that are crucial to the quality of research methods" (Ventura, 2025). doi.org/10.1007/s112... #Methodology #MetaSci #PhilSci

Thrilled to share our #ICLR2025 work on Meta-Causal States! 🌟 Causal graphs evolve with dynamic systems & agent actions. We show how to cluster causal models by qualitative behavior, revealing hidden dynamics & emergent relationships 🚀 #Causality #ML https://arxiv.org/abs/2410.13054

Should science communication be only about its societal benefits or should it be about the proper understanding of the nature of scientific practices? This article looks into how scientists answer that question: link.springer.com/article/10.1...

Taylorism is a management philosophy based on using scientific optimization to maximize labor productivity and economic efficiency. Here's the result of making the false Taylorist assumption that the output of scientific research is scientific papers—the more, faster, and cheaper, the better.

We’re excited to announce the addition of the pure text version to the MDPI Open Peer Review Corpus 2!

Me and @larsklintwall.bsky.social have been working on an app that will allow participants to interactively build networks of perceived causal relations. I’ve put together a demo website, that I’m soft-launching while we continue to pilot the app pecan-tool.rpsychologist.com 🧵👇