Californian housing dataset over the problematic Boston housing dataset.
04.01.2026 18:12
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Californian housing dataset over the problematic Boston housing dataset.
The quote of the year came late, but it’s good:
“This is LLM generated nonsense. You make a mockery of real research. Do not submit this again.”
If the originator of the quote sees this, you will remain entirely anonymous I assure you, but I want you to know that I appreciate you.
Happy holidays!
📖👨💻🎓 New Courses Alert 🎓👨💻📖
The Leverhulme Centre for Demographic Science is launching three upcoming short courses designed for researchers across health, economics, and the social sciences. Led by experts in the field — including @crahal.com — these courses are now open for registration.👇
A pleasure to host @philipncohen.com this week for a fantastic talk on pronatalism & many more engaging discussions about open science, public engagment, and more!
#demography @nuffieldcollege.bsky.social @drjenndowd.bsky.social @melindacmills.bsky.social @crahal.com @ridhikashyap.bsky.social
I've convened CSS sessions with lecturers wanting to give tutorials in R as the primary language, but they've inevitably had to involve Python at some stage. I've observed but much less frequently seen the reverse. This isn't a bait, but why not just start with Python?
We're holding brief/extremely informal 15 minute meetings with anyone who is interested in either of these positions, scheduled for 19.11.2025 and 17.11.2025, respectively. Email or DM for more information!
Please do share details within your network; I think these projects are pretty cool!
Thrilled to serve as TPC co-chair (/w @chenyang03.bsky.social) for the brilliant International Conference on Social Computing! 🚀
See @i-c-s-c.bsky.social for updates!
📅 Papers: October 20th!
🔗 Full details: icsc-conf.github.io/2025/
Let’s push the frontiers of #CSS, #DataScience, #LLM, and #AI💡✨
🎉Our metrics-and-models.github.io lab announces first hybrid seminar in conjunction with @oxforddemsci.bsky.social🚨
"Nonparametric Causal Decomposition of Group Differences: New Mechanisms & New Methods"
Speaker: Felix Elwert
When: October 8th, 2025
Where: @nuffieldcollege.bsky.social
A paper of ours just got rejected from a leading computer science journal for being ‘too technical’ and for some disturbing reason the inner economist in me is really proud.
The utility of this data resource cannot be understated. Infinite respect to all of the incredibly talented people who worked on it! 😍
Now, about that last paper i submitted to Sociological Science... 😂
🫂🫂🫂🫂
p.s. thanks again for asking; your tag made me finally get round to fixing about ten issues we had open on GitHub and internally over the weekend.
Always looking for some additional #dev #devops #datascience #genomic #frontend help on this, in case anyone is interested in collaborating on v2.0.0!
Thanks for asking! Its almost like we made a way to automatically track this on a daily basis, @pietrobiroli.bsky.social 🤩!
Kindly see gwasdiversitymonitor.com.
See also: Mills, M. C., & Rahal, C. (2020). The GWAS Diversity Monitor tracks diversity by disease in real time. Nature genetics, 52(3).
This summer wasn't too bad to be fair!
The first is with the Oxford EPSRC CDT in Healthcare Data Science 🧑💻💊, and the second with the DPhil in Population Health 🌍📊. Both need serious programming chops 💪, but each tackles different big questions — so hopefully there’s something here for everyone to get excited about! 🚀
🥳 Thrilled to bits about this! The first project is with the forever brilliant @melindacmills.bsky.social, and the second with the dream team of @sanderwagner.bsky.social & @dvaldenegro.bsky.social!
I honestly can’t wait to begin supervising these exciting projects together🙇🙇🙇
🚨It's that exciting time of year!🚨
Our team has got TWO open DPhil (PhD) positions in #datascience + #health here at @oxforddemsci.bsky.social for 2026🎉! See for details:
1️⃣ 👉 crahal.com/HDS_2026.html
2️⃣ 👉 crahal.com/pophealth_2026.html
Please share and help us to find our future teammates ❤️!
💡🤖🔥 @keyonv.bsky.social's talk at metrics-and-models.github.io was brilliant, posing epistemic questions about what Artificial Intelligence "understands".
Next (two weeks): Alexander Vezhnevets talks about a new multi-actor generative agent based model. As usual, *all welcome* #datascience #css💡🤖🔥
Excited to contribute to this; very exciting stuff by @hggaddy.bsky.social, as usual!
i don't know you, but my thought is that i absolutely and entirely agree with you.
💡🤖🔥The talk by Juan Carlos Perdomo at metrics-and-models.github.io was so thought provoking that the convenors stayed to discuss it in the room afterwards for quite some time!
Next, we have @keyonv.bsky.social asking: "What are AI's World Models?". Exciting times over here, all welcome!💡🤖🔥
Absolutely delighted to confirm forthcoming talks as part of the series by @bstewart.bsky.social and @andganna.bsky.social! Can't wait!
💡🤖🔥The talk by @klint.bsky.social at metrics-and-models.github.io was truly brilliant. Important work; a clean/intuitive computational design & empirical application from the @itemrespwarehouse.bsky.social!
*Next:* Juan Carlos Perdomo on "The relative value of prediction" (v. excited about this)💡🤖🔥
@ramina-sotoudeh.bsky.social gave an AMAZING talk yesterday as part of the #metrics-and-models seminar series👏. Next (30.07), we have @klint.bsky.social on "Reproducing Expert Judgement with Shortened Surveys using Simulated Annealing"🔥! See website for more; metrics-and-models.github.io!
The first #metrics-and-models talk was fantastic🤗!
Next: @ramina-sotoudeh.bsky.social on "Antenatal Selection: A novel approach for assessing the genetic and ecological drivers of who survives to birth".
Details: metrics-and-models.github.io
Sign up: metrics_and_models-subscribe@maillist.ox.ac.uk
Hurrying to post about RobustiPy, i forgot this fun animation i made for teaching purposes (with @deevybee.bsky.social on the SABS R3 CDT) around when we started developing. Specification uncertainty is just _one_ type of uncertainty, though; our forthcoming work looks at the role of random numbers!
Such nice collaborations with @dvaldenegro.bsky.social, @jiani-y.bsky.social & @claireduiyidai.bsky.social .
Possible because of generous contributions from @oxforddemsci.bsky.social / @centreforcare.bsky.social / @nuffieldcollege.bsky.social. Thanks to all for giving comments on it over the years!
We also think it has some tight #dataviz, too! Here's the canonical `union.dta' dataset examined by other model uncertainty tools. See our paper and website for more examples of how to use the accessible Python app, released under an open source GNU GPL 3.0 license!
🚀 RobustiPy is out of beta! Feature rich, we hope it becomes useful for model uncertainty / #datascience.
We include 🔟 replications, including “unexplained discrepancies” in prior work!
📄 Preprint: arxiv.org/abs/2506.19958
💻 GitHub: github.com/RobustiPy/robustipy
🌐 Homepage: robustipy.github.io
