Connor T. Jerzak
@JerzakConnor
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Asst Prof @UTAustin "Nullius in verba" Discussion→https://t.co/81Fe6eR7Ys Jobs→https://t.co/hsHKsrtcsR
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Joined April 2022
RT @SciFi: Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty?.
arxiv.org
We investigate whether socio-economic indicators like household wealth leave recoverable imprints in satellite imagery (capturing physical features) and Internet-sourced text (reflecting...
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RT @StatsPapers: Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" i….
arxiv.org
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...
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Excited to teach two grad courses @UTAustin this Spring '26!. 📊 Gov 385La: Making Big Data – Learn web scraping, crowd-sourcing, & data curation (à la @scale_AI and @HelloSurgeAI) to build high-quality datasets for social sci impact. 🌍 Gov 385Lb: Causal ML & EO for Social Sci
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RT @isp_uv_es: 🚨 Postdoc in AI + Earth Science. Join ELLIOT (€25M EU project) in València to build next-gen foundation models for climate +….
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RT @Da_Racek: 📢 NEW PAPER ALERT .Our paper “Capturing the spatio-temporal diffusion effects of armed conflict: A non-parametric smoothing….
academic.oup.com
Abstract. Facilitated by advancements in conflict event databases, studies have moved towards predicting armed conflict and understanding its determinants
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RT @StatMEPapers: Connor T. Jerzak, Priyanshi Chandra, Rishi Hazra. [. Selecting Optimal Candidate Profiles in Adve….
arxiv.org
Conjoint analysis, an application of factorial experimental design, is a popular tool in social science research for studying multidimensional preferences. In such experiments in the political...
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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:
algorithmicmusicmethods.com
musicology, ethnomusicology, media studies, academic conference, AI, machine learning, algorithms, critical data studies, science and technology studies
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"To address these limitations, Planetary Causal Inference (PCI) unifies Earth‐observation data with randomized and quasi-experimental studies. By aligning high-resolution satellite imagery with localized RCTs and field studies, we can identify causal processes across.
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A First Course in Planetary Causal Inference: Confounding. Adel presents.
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RT @scalonico: 🚨 Hiring a postdoc @UCDavisBusiness!.Work on causal inference + econometrics + ML:.- Heterogeneous effects.- Dynamic interve….
recruit.ucdavis.edu
University of California, Davis is hiring. Apply now!
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RT @opportunitiesfy: 🇨🇭 Apply now for the fully funded Swiss Government Excellence Scholarships 2025-26 for Master’s (Arts), PhD & Postdoc….
opportunitiesforyouth.org
The Swiss Government Excellence Scholarships 2025-26 offer a prestigious opportunity for international students to pursue higher education and research in
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RT @ERC_Research: Want to know all about ERC grants available this year? . Watch our webinar at 15:00 CEST today to hear from the ERC exper….
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