Open Versions of Jerzak’s Research (selected)

Please see below for open and accessible versions of Connor Jerzak‘s research; see also Bibliography.

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A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty

An Improved Method of Automated Nonparametric Content Analysis for Social Science

Benchmarking Debiasing Methods for LLM-based Parameter Estimates

Can Large Language Models (or Humans) Disentangle Text?

Chinese vs. World Bank development projects: Insights from earth observation and computer vision on wealth gains in Africa, 2002–2013

Conceptualizing Treatment Leakage in Text-based Causal Inference

Correcting Bias When Using Latent Regressors

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

Electoral Rules and Descriptive Representation: A Comprehensive View Across Multiple Identities

FastRerandomize: Fast rerandomization using accelerated computing

Football Fandom in Egypt

Image-based Treatment Effect Heterogeneity

Linking datasets on organizations using half a billion open-collaborated records

MiniMax Learning of Interpretable Factored Stochastic Policies from Conjoint Data, with Uncertainty Quantification

Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs

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

Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty?

The Composition of Descriptive Representation

The impact of a transportation intervention on electoral politics: Evidence from E-ZPass

The EU’s Democratic Deficit and Repeated Referendums in Ireland

The Politics of Conscription in Northern Ireland, 1938–1946

Ultras in Egypt: State, revolution, and the power of public space

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