This book is terrific—incredible new data, amazing and heart wrenching stories, and super timely. Highly recommended to those interested in American politics, political behavior, immigration, and law & society (and beyond).

Roberto F. Carlos@robertocarlos.bsky.social · last mo.

Excited to share that my book, "Information Brokers" @uchicagopress.bsky.social is out this Friday (July 3)! I will share endorsements the next three days, so please forgive the overposting. Also, please consider engaging with it. Order the book here : press.uchicago.edu/ucp/books/bo...

Congratulations to UT Computer Science Ph.D. student Yeonju Ro on being named a 2026 MLCommons ML and Systems Rising Star! Co-advised by Aditya Akella and @atlaswang.bsky.social, Yeonju is also a contributor to UT’s @ldosexpedition.bsky.social and Infra AI Center.

One-day workshop at Chalmers on 5 June: Principled Statistics in the Age of AI (PSAI26). Speakers: Xiao-Li Meng (keynote, Harvard), Joshua Bon, Cory McCartan, Fredrik Johansson, Ashkan Panahi. Free, registration by 29 May → jameshbailie.github.io/PSAI26/

Postdoc opening at Chalmers / AI and Global Development Lab: Data Science & Statistics. Estimating poverty from satellite imagery of African communities; causal inference and prediction-powered inference for policy evaluation. Deadline 27 May 2026. www.chalmers.se/en/about-cha...

PhD opening at Chalmers / AI and Global Development Lab: Earth Observation, Data Science, and AI for poverty estimation. Deep learning on Sentinel-2 imagery, benchmarked against Pléiades and Landsat, with AI-explainability. Deadline 13 June 2026. www.chalmers.se/en/about-cha...

Omatharv Bharat Vaidya, Connor T. Jerzak, Nhat Ho, Chandrajit Bajaj: Queryable LoRA: Instruction-Regularized Routing Over Shared Low-Rank Update Atoms https://arxiv.org/abs/2605.08423 https://arxiv.org/pdf/2605.08423 https://arxiv.org/html/2605.08423

We’re looking for a managing director for the AI.UP center at the University of Potsdam. AI.UP develops and consults on AI across disciplines and supports interdisciplinary collaboration and grant initiatives. *Permanent position* Deadline: June 28, 2026 Details: causalinferencelab.com/jobs

Jobs

Current open positions appear here. Managing Director – AI.UP The AI Competence Center (AI.UP) at the University of Potsdam invites applications for a permanent position as a managing director (f/m…

causalinferencelab.com

Samuel G. Balter, Ethan Jerzak, Connor T. Jerzak: Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs https://arxiv.org/abs/2604.18203 https://arxiv.org/pdf/2604.18203 https://arxiv.org/html/2604.18203

Thanks, Ingo! Graham Goff and I have put a lot of work into this package. {DAGassist} can estimate a wide range of models and classify covariate roles after you make your DAG either with {ggdag} or {daggitty}. We hope that the package can make DAG-consistent estimation a little easier for everyone!

Ingo Rohlfing@ingorohlfing.bsky.social · 9mo ago

{DAGassist} let's you process a DAG and estimate models giving {dagitty} input and baseline model #CausalSky #rstats cran.r-project.org/web/packages... I think {ggdag} has more to offer for analysis of a DAG, while {DAGassist} is a one-stop package for classifying variables and getting estimates

UT Austin PolMeth Speaker Series: Grad Student Lightning Talks this week! ⚡️ 🗓️ Thurs, Apr 16 @ 12:30pm 📍 Batt 5.108 (Lunch provided!) 🗣️ Rachel Jeon: Activism & Treaty Design 🗣️ Sophia Lander: Tech Innovation in PPPs 🗣️ Allison Verrilli: Policing Federalism & Local Safety

We're hiring a Research Support Associate at MIT Political Science. Work with me, In Song Kim, Rich Nielsen, and Naoki Egami on methods and political economy. Great opportunity for those considering a PhD in the social sciences. One-year position with possible extension.

Excited to welcome Gengchen Mai to the UT Austin Methods Speaker Series this Thursday, April 2! Talk: “Spatial Representation Learning: What, How, and Why” on latest GeoAI & scientific applications. 🕛 12:00-1:30pm 📍 BAT 5.108 (5th floor Batts Hall), UT Austin campus Join us!

New grad course at UT Austin this coming Fall (2026); look for this in the catalog -- "Gov 385L: Causal ML & EO for Social Sci"

Cool workshop upcoming this May -- join if you can. "We take rationality seriously, but should we? Why is a rational agent better in some respect than an irrational one? Is rationality just instrumentally useful, or does it have intrinsic value?" ejerzak.github.io

Join us on Thursday, 29 January, at *13:30 CET for the International Roundtable on Computational Social Science with Bedoor AlShebli (NYU Abu Dhabi) 🔹 The Science of Science... and its Human Side 🔹 More info: liu.se/en/event/int...

International Roundtable on Computational Social Science: Bedoor AlShebli

"The science of science... and its human side" Welcome to the International Roundtable on Computational Social Science with Bedoor AlShebli, New York University (NYU) Abu Dhabi. The seminar is open to...

liu.se

FastRerandomize unites batched candidate generation, key-only storage & design-respecting inference, while using the SoTA in accelerated computing (T/GPU). That design delivers order‑of‑mag speedups & enables tighter covariate balance in high-dim experiments⇢more precise causal estimates, lower cost

The remains of Gresham castle photographed with a regular camera and how it looks with a LiDar drone camera.

Calling those looking to get feedback on their quant work📢: Join us at @TexasAM for TexMeth2026 this Feb. Great opportunity to connect with the regional community and showcase your research. The sun will still be strong for those coming from the north!🤝📊☀️ Apply: docs.google.com/forms/d/e/1F...

Texas Methods Conference 2026

Please answer the following questions to indicate your interest in attending and/or participating at our conference, which is scheduled to take place on Friday and Saturday, February 20-21, at Texas A...

docs.google.com

Application deadline for UT Austin Gov - PhD admissions is 12/10 this cycle. More information below. I am hearing that the Department will not be shrinking its cohort this admission cycle!

The 8th European Conference on Social Networks (EUSN 2026) will take place on 11-15 August 2026 in Norrköping, Sweden, hosted by @iasliu.bsky.social ⌛ Deadline for workshop and session proposals: 1 December 2025 More information: liu.se/en/event/eus...

The 8th European Conference on Social Networks (EUSN 2026)

The 8th European Conference on Social Networks (EUSN 2026) will take place on 11–15 August 2026 in Norrköping, Sweden, hosted by the Institute for Analytical Sociology (IAS), Linköping University. The conference brings together scholars and ...

liu.se

Looking forward to giving a presentation on the planetary causal inference paradigm at Department of Methodology, LSE, today. Join us if you are around. www.lse.ac.uk/methodology/...

Seminar series

Information about the Department of Methodology seminar series

lse.ac.uk

Sign up for this week's Seminar Series with @adeldaoud.bsky.social 💡 21 Nov, 2 - 3pm 🌎Planetary Causal Inference: combining computer vision and earth observation to analyse disparities in health and living conditions among neighbourhoods in Africa, 1990 to date www.eventbrite.com/e/department...

If you are in the vicinity of Oxford University, join me today at 4 pm for my talk at Nuffield College. Title: "Planetary Causal Inference: combining computer vision and earth observation to..." Link to event details: [Sociology Seminar at Nuffield College](www.nuffield.ox.ac.uk/news-events/...)

Event - Nuffield College Oxford University

nuffield.ox.ac.uk

Markus B. Pettersson, Adel Daoud: Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping https://arxiv.org/abs/2511.01408 https://arxiv.org/pdf/2511.01408 https://arxiv.org/html/2511.01408

"Counterfactuals. At planetary scale." The Planetary Causal Inference (PCI) book launches soon: planetarycausalinference.org/book-launch/

Excited to see our PhD student Andrés Cruz (@arcruz0) presenting his work "Sensitivity Bounds for Uncertainty Propagation" at LAPolMeth IX in Viña del Mar, Chile. Catch it during the poster session on Nov 22 (12:45-14:00, Building C). Don't miss this work on uncertainty in quant social science!

Debiasing ML predictions for causal inference—no new labels needed. We propose Tweedie’s correction to fix shrinkage enabling “one map, many trials.” arxiv.org/abs/2508.01341 #CausalInference #MachineLearning #EarthObservation #PovertyMapping

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis

Machine learning models trained on Earth observation data, such as satellite imagery, have demonstrated significant promise in predicting household-level wealth indices, enabling the creation of high-...

arxiv.org

🥳 Join us in celebrating @alongcamejones.bsky.social and his legacy with the Policy Agendas Project. Excited to see what @seanmtheriault.bsky.social and Derek Epp do next! 🤟

ML wealth maps from space 🛰️ are great, but suffer from "shrinkage" bias, which waters down policy impact results (causal inference). We developed correction methods that fix this bias *without* new data. arxiv.org/abs/2508.01341 #CausalInference #DataForGood #AI #PovertyMapping #EarthObservation