Have we talked about this paper yet on bsky? It's really good, and ought to be cited widely by people working at the humanities-AI interface.
TLDR: If AI is going to be applied to fuzzy human problems, social science measurement theory becomes essential. #MLSky
03.05.2025 14:58 — 👍 83 🔁 11 💬 12 📌 0
So-called “institutional neutrality” was pushed by folks in coalition with the ghouls currently gutting science and higher ed. Their goal was always for universities to neutrally (and silently) watch as they were systematically dismantled by people who hate verifiable knowledge.
12.02.2025 12:30 — 👍 230 🔁 66 💬 10 📌 4
Remember this @neuripsconf.bsky.social workshop paper? We spent the past month writing a newer, better, longer version!!! You can find it online here: arxiv.org/abs/2502.00561
04.02.2025 15:28 — 👍 82 🔁 14 💬 2 📌 3
Submissions are open for our workshop on data and benchmarking practices in ML! Accepting both full-length submissions (up to 10 pages) and tiny papers submissions (3-5 pages)
20.01.2025 15:19 — 👍 9 🔁 2 💬 0 📌 0
Flyer for the ICLR 2025 workshop entitled The Future of Machine Learning Data Practices and Repositories. The date of the workshop if to be determined but will be one of the two workshop dates (April 27 or 28) for ICLR 2025 in Singapore. The submission deadline is February 3, 2025 anywhere on earth, and the review deadline is March 5, 2025 anywhere on earth. Call for papers and more information is available at the website https://mldpr2025.com/. Reach out to mldpr2025@gmail.com for questions! The workshop is organized by Markelle Kelly, Rachel Longjohn, Meera Desai, Shivani Kapania, Maria Antoniak, Padhraic Smyth, Joaquin Vanschoren, Sameer Singh, Daniel S. Katz, and Amy Winecoff.
📣Announcing MLDPR 2025, an @iclr-conf.bsky.social workshop on data and benchmarking practices in ML! 🔗 mldpr2025.com
📭accepting submissions related to:
▫️data curation
▫️FAIR datasets
▫️ML data repositories
▫️reproducibility
▫️holistic benchmarking
16.01.2025 19:01 — 👍 15 🔁 7 💬 0 📌 1
Evaluating Generative AI Systems is a Social Science Measurement Challenge: arxiv.org/abs/2411.10939
TL;DR: The ML community would benefit from learning from and drawing on the social sciences when evaluating GenAI systems.
02.12.2024 23:01 — 👍 39 🔁 11 💬 2 📌 1
Applying to the PhD program at U Mich School of Information? Submit your application materials to our feedback program—led by current Ph.D. students who want to support applicants from underrepresented backgrounds in higher ed
📅 Materials accepted until Nov 11
🔗 Link: bit.ly/UMSI-Review-...
22.10.2024 15:12 — 👍 0 🔁 0 💬 0 📌 0
PhD student at @tuda.bsky.social | Computational Literary Studies | Comparative Literature
cs && comp-bio student @pitt_sci | nlp && neuro research 🗣️🧠🐭 | aspiring educator | he/him
sde at tattle civic tech. building open-source tools to respond to online harms and abuse
https://aatmanvaidya.github.io/
Assistant Professor of Communication @ Stanford. Histories of AI/ML, NLP, speech recognition, and related data practices; general tomfoolery.
PhD student @ CMU LTI. efficiency/data in NLP/ML
Harvard CS PhD Candidate, ML Interpretability (she/they)
Postdoc at MSR, soon a prof at UW HCDE, got my PhD at Cornell IS. I think about power, privacy, and participation in HCI, security and AI.
politics, protests, quant methods, bad takes, labor, etc
https://kevinreuning.com/
https://unionelections.org/
maybe the hard stuff's inside, hidden — like bones, as opposed to an exoskeleton.
@CornellInfoSci
https://dbateyko.info
Behavioral and Internal Interpretability 🔎
PhD Student at @ukplab.bsky.social, TU Darmstadt/Hochschule Luzern
Associate Professor @ UBC
computational sociology
machine learning is feminist
You only have to look at the Medusa straight on to see her. And she’s not deadly. She’s beautiful and she’s laughing.
www.lauraknelson.com
{Social, Data, Network, Information} Scientist at @cuboulder.info
High-tempo collaboration, information commons, public interest data science.
Born at 345ppm.
https://www.brianckeegan.com/
Signal: brianckeegan.26
poetry and data. prosody.princeton.edu & this cdh.princeton.edu
order here: https://press.princeton.edu/books/paperback/9780691254678/poetrys-data
editor here: https://c19datacollective.com/ & here: https://culturalanalytics.org/ @culturalanalytics.bsky
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学
Information Sciences and English, UIUC. Distant Horizons (Chicago, 2019). tedunderwood.com
Deputy Director @ World Privacy Forum for AI and data policy research after 20+ yrs as a journo questioning data-centric tech. Creator of RedTailMedia.org, music nerd, forest walker, raptor watcher and fan of the NY Mets. KEEPIN THAT PMA.
Asst Prof at Cornell Info Sci and Cornell Tech. Responsible AI
https://angelina-wang.github.io/
Information Science PhD @ Cornell Tech. Looking at AI's impact on information ecosystems & news consumption. mariannealq.com