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| title: README | |
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| # Jerzak Labs | |
| _Data, models, and methods for planetary-scale causal inference, text-based AI systems, and other interests._ | |
| Led by [**Connor T. Jerzak**](https://connorjerzak.com), Assistant Professor at UT Austin. | |
| <a href="https://planetarycausalinference.org/book-launch"> | |
| <picture> | |
| <source media="(prefers-color-scheme: dark)" srcset="https://planetarycausalinference.org/wp-content/uploads/2025/11/PCI_book_dark.png"> | |
| <img src="https://planetarycausalinference.org/wp-content/uploads/2025/11/PCI_book.png" alt="Book" width="200"> | |
| </picture> | |
| </a> | |
| --- | |
| ## Recent Team Tutorials | |
| - [**Nicolas Audinet de Pieuchon**](https://nicaudinet.github.io/) presents: [*Benchmarking Debiasing Methods for LLM-based Parameter Estimates*](https://connorjerzak.com/transcript-benchmarking-debiasing-methods/) | |
| - [**Nicolas Audinet de Pieuchon**](https://nicaudinet.github.io/) presents: [*Can Large Language Models (or Humans) Disentangle Text?*](https://connorjerzak.com/transcript-disentangle-video/) | |
| - [**Adel Daoud** ](https://adeldaoud.com/)presents: [*A First Course in Planetary Causal Inference: Confounding*](https://planetarycausalinference.org/transcript-pci-tutorial-2025/) (@IC2S2 2025) | |
| - [**Adel Daoud** ](https://adeldaoud.com/)presents: [*Planetary Causal Inference*: Overview](https://planetarycausalinference.org/transcript-pci-seminar-yale/) (@Yale) | |
| - [**Connor Jerzak**](https://connorjerzak.com/) presents: [*Seeing Like a Satellite While Learning Across Scales: Remote Audits + Multi-Scale Optimization for Heterogeneity*](https://planetarycausalinference.org/transcript-seeing-like-a-satellite/) (@Columbia) | |
| - [**Connor Jerzak**](https://connorjerzak.com/) presents: *[Selecting Optimal Candidate Profiles in Adversarial Environments](https://connorjerzak.com/transcript-adversarial-2024/)* (@UT Dallas & National Chung Hsing University) | |
| - [**Richard Johansson**](https://www.cse.chalmers.se/~richajo/) presents: *[Conceptualizing Treatment Leakage in Text-based Causal Inference](https://connorjerzak.com/transcript-leakage-video/)* (@NAACL) | |
| - [**Satiyabooshan Murugaboopathy**](https://www.linkedin.com/in/msatiya/?originalSubdomain=de) presents: *[Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty?](https://aidevlab.org/transcript-platonic/)* | |
| - [**Kazuki Sakamoto**](https://www.linkedin.com/in/kazukisakamoto/) presents: *[A Scoping Review of Earth Observation and Machine Learning for Causal Inference](https://connorjerzak.com/transcript-a-scoping-review-pci/)* | |
| - [**Fucheng Warren Zhu**](https://www.warrenzhu.com/) presents: [*Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using EO and Computer Vision*](https://connorjerzak.com/transcript-encoding-multi-level-dynamics-in-effect-heterogeneity-estimation/) | |
| --- | |
| ## Research Areas | |
| - **[Planetary Causal Inference](https://planetarycausalinference.org/)** | |
| Harnessing Earth observation data, randomized control trials, and advanced modeling for global development and climate impact. | |
| - **[Research Design](https://connorjerzak.com/research-design/)** | |
| Rerandomization procedures, effect heterogeneity, and leveraging images (e.g., satellite) as data sources. | |
| - **[Text-based AI Systems](https://connorjerzak.com/text-overview/)** | |
| Automated nonparametric text analysis, large language models, and language-based causal inferences. | |
| - **[Descriptive Representation & Political Economy](https://globalleadershipproject.net/)** | |
| Understanding group-level representation worldwide; analyzing policy impacts. | |
| --- | |
| ## Featured Repositories | |
| - **[CausalImages](https://github.com/cjerzak/causalimages-software)** | |
| R Package for performing causal inference with images, including Earth observation and biomedical data. | |
| - **[DescriptiveRepresentationCalculator](https://github.com/cjerzak/DescriptiveRepresentationCalculator-software)** | |
| Tools for measuring descriptive representation across gender, ethnicity, religion, and more in global leadership data. | |
| - **[readme2](https://github.com/iqss-research/readme-software)** | |
| Enhanced automated content analysis for social science text data (with [paper](https://gking.harvard.edu/files/gking/files/word.pdf)). | |
| - **[LinkOrgs](https://github.com/cjerzak/LinkOrgs-software)** | |
| Linking organizational datasets using half-a-billion open-collaborated records. | |
| For additional code packages, see [Code Overview](https://connorjerzak.com/software/). | |
| --- | |
| ## Data Assets | |
| Explore large-scale data on Earth observation + RCTs, text-based sentiment disentanglement, organizational name-matching, and more: | |
| - **[HumanDisentangledText](https://huggingface.co/datasets/cjerzak/HumanDisentangledText)** | |
| - **[LinkOrgs](https://huggingface.co/datasets/cjerzak/LinkOrgs)** | |
| - **[ImageHeterogeneity](https://huggingface.co/datasets/cjerzak/ImageHeterogeneity)** | |
| Further details: [Data Overview](https://connorjerzak.com/data/). | |
| --- | |
| ## Contact | |
| - Email: [connor.jerzak@austin.utexas.edu](mailto:connor.jerzak@austin.utexas.edu) | |
| - Website: [ConnorJerzak.com](https://connorjerzak.com) | |
| - GitHub: [GitHub.com/cjerzak](https://github.com/cjerzak) | |
| - Subscribe: [Jerzak Labs YouTube](https://www.youtube.com/@connorjerzak?sub_confirmation=1) | |
| - Subscribe: [Planetary Causal Inference](https://www.youtube.com/@PlanetaryCausalInference?sub_confirmation=1) | |