Connor T. Jerzak

Connor T. Jerzak, Adel Daoud
Remote Auditing: Design-based Tests of Randomization, Selection, and Missingness with Broadly Accessible Satellite Imagery
https://arxiv.org/abs/2510.00128

Adel Daoud, Cindy Conlin, Connor T. Jerzak: Chinese vs. World Bank Development Projects: Insights from Earth Observation and Computer Vision on Wealth Gains in Africa, 2002-2013 https://arxiv.org/abs/2509.25648 https://arxiv.org/pdf/2509.25648 https://arxiv.org/html/2509.25648

LSE's Department of Methodogy is searching for an Assistant Professor in Computational Social Science. Applicants from across the social sciences are very welcome!

Please reach out if you would like any more details.

Fall schedule for the Political Methodology Seminar Series at the UT Austin Department of Government, AY25-26 is out! Event calendar links here: connorjerzak.com/methods-seri...

Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs ArXiv link for Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs

With a new Multi-Scale Representation Concatenation method, researchers enhance satellite imagery optimization for causal inference in anti-poverty programs by revealing treatment effect heterogeneity across scales, potentially amplifying impacts without extra costs. https://arxiv.org/abs/2411.02134

Attention #polisky! Apply for
@utaustin.bsky.social LBJ School of Public Affairs with a focus on American Political Institutions. I'm on the committee, so please reach out with questions. See below: apply.interfolio.com/170943

proceedings.mlr.press/v275/zhu25a....

Paper breakdown: aidevlab.org/tweedie/

Paper breakdown: aidevlab.org/tweedie/

Paper breakdown: aidevlab.org/platonic/

Yes, definitely! We'll put some on YouTube and / or planetarycausalinference.org Will keep you posted.

Markus Pettersson, Connor T. Jerzak, Adel Daoud: Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven P... https://arxiv.org/abs/2508.01341 https://arxiv.org/pdf/2508.01341 https://arxiv.org/html/2508.01341

Markus Pettersson, Connor T. Jerzak, Adel Daoud
Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
https://arxiv.org/abs/2508.01341

Satiyabooshan Murugaboopathy, Connor T. Jerzak, Adel Daoud: Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty? https://arxiv.org/abs/2508.01109 https://arxiv.org/pdf/2508.01109 https://arxiv.org/html/2508.01109

Excited to teach two grad courses @UTAustin Spring '26!

📊 Gov 385La: Making Big Data – Learn web scraping, crowd-sourcing, & data curation to build high-quality datasets for social sci impact.

🌍 Gov 385Lb: Causal ML & EO for Social Sci – Deploy satellite data & ML for causal inf at planetary scale

Connor T. Jerzak, Stephen A. Jessee: Attenuation Bias with Latent Predictors https://arxiv.org/abs/2507.22218 https://arxiv.org/pdf/2507.22218 https://arxiv.org/html/2507.22218

Join a cool group at UC Berkeley, March 7-8, 2026, for "Clouds, Streams, and Ground (Truths)"—exploring methods to study algorithmic music ecosystems. Details: www.algorithmicmusicmethods.com

YouTube video by Planetary Causal Inference - Academic Content A First Course in Planetary Causal Inference: Confounding - Adel Daoud at IC2S2 2025

A First Course in Planetary Causal Inference: Confounding. Adel presents.

www.youtube.com/watch?v=oD7D...

Connor T. Jerzak, Priyanshi Chandra, Rishi Hazra
Selecting Optimal Candidate Profiles in Adversarial Environments Using Conjoint Analysis and Machine Learning
https://arxiv.org/abs/2504.19043

🚨 New preprint! Excited to share our work on extracting and evaluating the potentially many feature descriptions of language models

👉 arxiv.org/abs/2506.15538

Nicolas Audinet de Pieuchon, Adel Daoud, Connor T. Jerzak, Moa Johansson, Richard Johansson
Benchmarking Debiasing Methods for LLM-based Parameter Estimates
https://arxiv.org/abs/2506.09627

Norrköping campus at sunset

We are hiring postdocs in Computational Social Science
📍SweCSS, Norrköping, Sweden
⏰Deadline June 3
🔗https://liu.se/en/work-at-liu/vacancies/26854
Please apply // help us spread the word

For how long? 2-3 yr contract & flexible remote.

Where? Remote options possible; core mentor, Adel, based in Sweden.

AI & Global Dev Lab: aidevlab.org

New postdoc position posted at the AI & Global Development Lab!

What would you do? Use ML & causal inference to evaluate African development programs—build remote-sensing pipelines for geo-temporal poverty estimates & impact evals, among other things.

Details: liu.se/en/work-at-l...

Cool stuff!

Equal parts Mars, Venus, and Titan.

globalleadershipproject.net

On scaling laws for muli-scale dynamics in effect heterogeneity estimation.

Paper: arxiv.org/abs/2411.02134

More: planetarycausalinference.org

Rankings of neighborhoods/provinces in Africa with the greatest improvement in poverty between 1990 and 2019. Estimation methodology is EO-ML-based.

Rankings: aidevlab.org/rankings/

Raw data now on Hugging Face: huggingface.co/datasets/cje...