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‎404.html‎

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---
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layout: default
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title: Page Not Found
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permalink: /404.html
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---
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<section class="section-lg">
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<div class="container text-center">
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<h1 style="font-size: 120px; font-weight: 700; color: #e8e8ed; margin-bottom: 0;">404</h1>
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<h2 style="margin-bottom: 16px;">Page Not Found</h2>
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<p class="text-muted" style="margin-bottom: 32px;">The page you're looking for doesn't exist or has been moved.</p>
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<div class="btn-group" style="justify-content: center;">
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<a href="{{ '/' | relative_url }}" class="btn btn-primary">Go Home</a>
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<a href="{{ '/research/' | relative_url }}" class="btn btn-secondary">View Research</a>
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</div>
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</div>
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</section>

‎Gemfile‎

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source "https://rubygems.org"
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# GitHub Pages compatibility
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gem "github-pages", "~> 232", group: :jekyll_plugins
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# Windows and JRuby does not include zoneinfo files
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gem "tzinfo-data", platforms: [:mingw, :mswin, :x64_mingw, :jruby]
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# Performance-booster for watching directories on Windows
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gem "wdm", "~> 0.1", :platforms => [:mingw, :mswin, :x64_mingw]

‎_config.yml‎

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# Site settings
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title: AI & Global Development Lab
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description: >-
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Fusing AI with Earth Observation to measure what changes lives—and why.
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Mapping poverty, conflict, and sustainability from 1984 to today.
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url: "https://aiandglobaldevelopmentlab.github.io"
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baseurl: ""
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# Build settings
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markdown: kramdown
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highlighter: rouge
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permalink: pretty
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# Sass settings
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sass:
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style: compressed
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sass_dir: _sass
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# Collections
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collections_dir: .
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# Exclude from build
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exclude:
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- Gemfile
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- Gemfile.lock
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- node_modules
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- vendor
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- README.md
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- .gitignore
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# Default front matter
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defaults:
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- scope:
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path: ""
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type: "pages"
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values:
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layout: "page"
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# Plugins (GitHub Pages supported)
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plugins:
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- jekyll-seo-tag

‎_data/navigation.yml‎

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main:
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- title: Research
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url: /research/
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- title: Team
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url: /team/
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- title: About
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url: /about/
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- title: Data & Code
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url: /data-code/
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- title: Work With Us
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url: /work-with-us/
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- title: Causal Inference
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url: https://planetarycausalinference.org
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external: true

‎_data/publications.yml‎

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# Publications organized by year (newest first)
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# Each publication: title, authors, venue, year, theme, url, pdf, doi, code, data
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2026:
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- title: "Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities"
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authors: "Jerzak, C.T., Daoud, A., Meng, X.L."
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venue: "Nature Reviews Earth & Environment (forthcoming)"
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year: 2026
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theme: methods
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2025:
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- title: "Image-based Treatment Effect Heterogeneity"
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authors: "Jerzak, C.T., Johansson, F., Daoud, A."
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venue: "Proceedings of the National Academy of Sciences"
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year: 2025
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theme: methods
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code: https://github.com/cjerzak/causalimages-software
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- title: "causalimages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Imagery"
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authors: "Jerzak, C.T., Johansson, F., Daoud, A."
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venue: "Journal of Statistical Software"
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year: 2025
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theme: software
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code: https://github.com/cjerzak/causalimages-software
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- title: "Poverty Prediction Using Geospatial Features: A Comparison of Deep Learning and Traditional Approaches"
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authors: "Daoud, A., Jerzak, C.T."
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venue: "International Journal of Data Science and Analytics"
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year: 2025
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theme: poverty
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2024:
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- title: "Massive Satellite Imagery Data for Humanitarian Operations: Big Improvements in Automated Building Damage Assessment"
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authors: "Jerzak, C.T., Johansson, F., Daoud, A."
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venue: "Journal of the American Statistical Association"
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year: 2024
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theme: conflict
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- title: "Using Satellite Imagery to Detect the Built Environment Changes in Uganda"
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authors: "Daoud, A., Jerzak, C.T., et al."
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venue: "Scientific Reports"
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year: 2024
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theme: sustainability
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- title: "Causal Inference in AI Systems: Opportunities and Challenges"
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authors: "Jerzak, C.T., Meng, X.L."
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venue: "Harvard Data Science Review"
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year: 2024
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theme: methods
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2023:
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- title: "LinkOrgs: Linking Budget Organizations Across Countries and Years"
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authors: "Jerzak, C.T."
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venue: "Political Analysis"
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year: 2023
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theme: software
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code: https://github.com/cjerzak/LinkOrgs-software
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- title: "Text-Based Ideal Points for the British Parliament"
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authors: "Jerzak, C.T."
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venue: "American Political Science Review"
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year: 2023
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theme: text
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- title: "Deep Learning for Poverty Estimation from Satellite Imagery"
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authors: "Daoud, A., Jerzak, C.T."
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venue: "Proceedings of the IEEE"
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year: 2023
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theme: poverty
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2022:
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- title: "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Applied to Poverty Mapping"
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authors: "Daoud, A., Jerzak, C.T., et al."
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venue: "NeurIPS Workshop on Machine Learning for the Developing World"
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year: 2022
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theme: poverty
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- title: "ContractorSight: A Software Package for Estimating Government Contractor Performance"
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authors: "Jerzak, C.T."
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venue: "Journal of Open Source Software"
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year: 2022
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theme: software
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code: https://github.com/cjerzak/contractorsight-software
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- title: "Estimating Subnational Conflict Patterns Using Satellite Imagery"
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authors: "Jerzak, C.T., Daoud, A."
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venue: "Political Science Research and Methods"
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year: 2022
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theme: conflict
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2021:
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- title: "Essays on Causal Inference in Political Science"
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authors: "Jerzak, C.T."
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venue: "PhD Dissertation, Harvard University"
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year: 2021
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theme: methods
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- title: "Integrating Machine Learning into Sociological Research"
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authors: "Daoud, A., Jerzak, C.T."
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venue: "Sociological Methods & Research"
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year: 2021
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theme: methods
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2020:
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- title: "Quantifying Social Media Influence on COVID-19 Behavior"
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authors: "Daoud, A., Jerzak, C.T., et al."
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venue: "PLOS ONE"
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year: 2020
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theme: methods
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- title: "Climate Shocks and Conflict in Africa: Replication and Extensions"
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authors: "Jerzak, C.T."
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venue: "Journal of Peace Research"
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year: 2020
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theme: conflict
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2019:
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- title: "Transfer Learning for Estimating Poverty from Satellite Data"
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authors: "Daoud, A., Jerzak, C.T."
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venue: "Proceedings of the IEEE International Conference on Data Mining"
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year: 2019
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theme: poverty
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- title: "Estimating Heterogeneous Treatment Effects from Text"
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authors: "Jerzak, C.T."
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venue: "Working Paper"
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year: 2019
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theme: text
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2018:
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- title: "Combining Satellite Imagery and Survey Data to Study Development Outcomes"
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authors: "Daoud, A., Jerzak, C.T."
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venue: "World Bank Economic Review"
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year: 2018
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theme: poverty
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- title: "Automation and the Future of Work: New Evidence from Administrative Data"
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authors: "Jerzak, C.T., et al."
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venue: "American Economic Review Papers & Proceedings"
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year: 2018
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theme: methods
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2017:
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- title: "Using Night Lights to Proxy for Economic Activity in Fragile States"
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authors: "Daoud, A., Jerzak, C.T."
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venue: "Journal of Development Economics"
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year: 2017
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theme: poverty
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2016:
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- title: "Methodological Challenges in Combining Multiple Data Sources"
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authors: "Meng, X.L., Jerzak, C.T."
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venue: "Statistical Science"
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year: 2016
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theme: methods
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2015:
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- title: "Structural Adjustment Programs and Poverty: A Critical Review"
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authors: "Daoud, A."
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venue: "World Development"
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year: 2015
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theme: poverty
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2014:
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- title: "Causal Inference with Observational Data: Lessons from Economics"
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authors: "Meng, X.L."
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venue: "Annual Review of Statistics and Its Application"
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year: 2014
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theme: methods

‎_data/resources.yml‎

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# Open source tools and datasets
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software:
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- name: causalimages
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description: R package for causal inference with Earth Observation and imagery data. Implements image-based treatment effect heterogeneity methods.
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github: https://github.com/cjerzak/causalimages-software
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docs: https://github.com/cjerzak/causalimages-software#readme
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language: R
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- name: LinkOrgs
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description: Software for linking budget organizations across countries and years. Enables cross-national comparisons of government structures.
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github: https://github.com/cjerzak/LinkOrgs-software
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docs: https://github.com/cjerzak/LinkOrgs-software#readme
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language: R
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- name: ContractorSight
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description: Package for estimating government contractor performance using administrative data.
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github: https://github.com/cjerzak/contractorsight-software
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docs: https://github.com/cjerzak/contractorsight-software#readme
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language: R
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datasets:
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- name: Global Poverty Maps (2000-2024)
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description: High-resolution poverty estimates derived from satellite imagery and survey data, covering multiple regions and time periods.
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access: Available upon request for academic research
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- name: Building Damage Assessment Dataset
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description: Labeled satellite imagery dataset for training automated building damage detection models.
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access: Available on request
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- name: Night Lights Economic Activity Index
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description: Processed night lights data with economic activity proxies for fragile states.
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access: Open access
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citation_guidelines: |
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When using our software or data, please cite the relevant publication(s).
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For software packages, please also cite the software directly using the
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citation information provided in the repository.

‎_data/team.yml‎

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directors:
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- name: Connor T. Jerzak
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role: Assistant Professor, Department of Government
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institution: UT Austin
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bio: Research focuses on causal inference methodology, AI applications to global development challenges, and text-based AI systems.
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photo: /assets/images/team/jerzak.webp
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education:
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- PhD Government, Harvard University (2021)
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- AM Statistics, Harvard University (2020)
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website: https://connorjerzak.com
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github: cjerzak
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scholar: https://scholar.google.com/citations?user=XXXXXXX
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- name: Adel Daoud
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role: Associate Professor, Institute for Analytical Sociology
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institution: Linköping University / Chalmers University
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bio: Research focuses on AI/ML applications for poverty analysis, satellite imagery interpretation, and causal inference methods.
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photo: /assets/images/team/daoud.webp
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awards:
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- Young Academy of Sweden member (2022-2027)
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- Hans L. Zetterberg Prize in Sociology (2022)
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website: https://www.adeldaoud.com
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github: adeldaoud
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scholar: https://scholar.google.com/citations?user=XXXXXXX
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- name: Xiao-Li Meng
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role: Whipple V. N. Jones Professor of Statistics
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institution: Harvard University
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bio: Founding Editor-in-Chief of Harvard Data Science Review. Former Dean of Harvard Graduate School of Arts and Sciences (2012-2017).
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photo: /assets/images/team/meng.webp
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awards:
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- COPSS Presidents' Award (2001)
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website: https://statistics.fas.harvard.edu/people/xiao-li-meng
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scholar: https://scholar.google.com/citations?user=XXXXXXX
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researchers:
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# Add researchers here as they join
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# - name: Name
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# role: Position
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# institution: Institution
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# photo: /assets/images/team/lastname.webp
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students:
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# Add students here
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# - name: Name
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# role: PhD Student
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# institution: Institution
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alumni:
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# Add alumni here
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# - name: Name
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# role: Former Position
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# current: Current Position

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