corpus.blog
42,281 blogs · 5,361,753 posts Claim your blog
Record · corpus.blog/posts/01a0d244-b262-72ad-9623-c9c58c758e3d

New course on generative AI for behavioral science

Andrew Gelman · published 10 March 2026

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at statmodeling.stat.columbia.edu Wayback capture
1blogs citing
First cited
13 Mar 2026
Most recent
13 Mar 2026
Rank this month
not ranked
External links
61
Words captured
2,682

Cited by

Blog
In the post
Date
f.briatte.org
Current views on generative AI Read at the source ↗
13 Mar 2026

Links from this post

Link
Host
https://arxiv.org/pdf/2602.15785
arxiv.org
https://hci.tech.northwestern.edu/news-events/colloquia-special-events/hci-d-ai-symposia-2026/validating-generative-ai-based-social-sciences.html
hci.tech.northwestern.edu
https://doi.org/10.1016/j.tics.2023.04.008
doi.org
https://doi.org/10.1145/3586183.3606763
doi.org
https://doi.org/10.1126/sciadv.adu9368
doi.org
https://doi.org/10.18653/v1/2024.findings-naacl.211
doi.org
https://doi.org/10.2139/ssrn.5066286
doi.org
https://doi.org/10.48550/arXiv.2411.10109
doi.org
https://doi.org/10.1038/s43588-025-00840-7
doi.org
https://doi.org/10.1038/s41586-025-09215-4
doi.org
https://doi.org/10.3386/w33033
doi.org
https://doi.org/10.1073/pnas.2316205120
doi.org
https://docsend.com/view/ity6yf2dansesucf
docsend.com
https://doi.org/10.48550/arXiv.2509.19088
doi.org
https://doi.org/10.1038/s41562-025-02172-y
doi.org
https://doi.org/10.1038/s42256-025-00986-z
doi.org
https://doi.org/10.1038/s41586-024-07146-0
doi.org
https://doi.org/10.1073/pnas.2518075122
doi.org
https://doi.org/10.48550/arXiv.2506.21521
doi.org
https://doi.org/10.31234/osf.io/5b26t
doi.org
https://doi.org/10.31219/osf.io/rwy9b
doi.org
https://doi.org/10.48550/arXiv.2508.17407
doi.org
https://doi.org/10.48550/arXiv.2504.08954
doi.org
https://doi.org/10.48550/arXiv.2504.03274
doi.org
https://proceedings.mlr.press/v202/aher23a.html
proceedings.mlr.press
https://doi.org/10.3386/w33344
doi.org
https://doi.org/10.1177/00491241251326865
doi.org
https://mucollective.northwestern.edu/files/Hullman-llm-behavioral.pdf
mucollective.northwestern.edu
https://arxiv.org/pdf/2601.20819
arxiv.org
https://proceedings.neurips.cc/paper_files/paper/2023/hash/d862f7f5445255090de13b825b880d59-Abstract-Conference.html
proceedings.neurips.cc
https://doi.org/10.48550/arXiv.2401.08702
doi.org
https://doi.org/10.48550/arXiv.2403.03208
doi.org
https://doi.org/10.3386/w32381
doi.org
https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/beyond-playing-20-questions-with-nature-integrative-experiment-design-in-the-social-and-behavioral-sciences/7E0D34D5AE2EFB9C0902414C23E0C292
cambridge.org
https://arxiv.org/pdf/2409.04109?
arxiv.org
https://www.pnas.org/doi/pdf/10.1073/pnas.2401238121
pnas.org
https://doi.org/10.1057/s41599-024-03407-5
doi.org
https://arxiv.org/pdf/2410.00903
arxiv.org
https://arxiv.org/abs/2503.00725
arxiv.org
https://doi.org/10.18653/v1/2025.findings-acl.679
doi.org
https://arxiv.org/pdf/2512.01107
arxiv.org
https://humanlm.stanford.edu/HumanLM_paper.pdf
humanlm.stanford.edu
https://www.nber.org/papers/w31122
nber.org
https://journals.sagepub.com/doi/full/10.1177/00491241251337316
journals.sagepub.com
https://www.pnas.org/doi/10.1073/pnas.2314021121
pnas.org
https://openreview.net/pdf?id=cRBg1dtj7o
openreview.net
https://doi.org/10.48550/arXiv.2305.09620
doi.org
https://doi.org/10.48550/arXiv.2505.23796
doi.org
https://dl.acm.org/doi/10.5555/3737916.3739374
dl.acm.org
https://doi.org/10.48550/arXiv.2509.13397
doi.org
https://doi.org/10.1017/pan.2023.2
doi.org
https://openreview.net/pdf?id=i9npQatSev
openreview.net
https://doi.org/10.48550/arXiv.2510.11408
doi.org
https://doi.org/10.1017/S0140525X22002874
doi.org
https://doi.org/10.48550/arXiv.2505.11614
doi.org
https://proceedings.mlr.press/v267/movva25a.html
proceedings.mlr.press
https://doi.org/10.1038/s41562-025-02230-5
doi.org
https://doi.org/10.48550/arXiv.2503.02080
doi.org
https://doi.org/10.1007/s11023-024-09709-6
doi.org
https://arxiv.org/abs/2602.06286
arxiv.org
https://www.jstor.org/stable/pdf/2025900.pdf
jstor.org