Planetary Causal Inference (PCI)
@planetarycausal.bsky.social
Scholarly hub for Planetary Causal Inference (PCI).
PCI unites researchers leveraging satellite imagery and planetary-scale data to better understand cause & effect.
PlanetaryCausalInference.org
PCI unites researchers leveraging satellite imagery and planetary-scale data to better understand cause & effect.
PlanetaryCausalInference.org
Reposted by Planetary Causal Inference (PCI)
If you are in the vicinity of Oxford University, join me today at 4 pm for my talk at Nuffield College. Title: "Planetary Causal Inference: combining computer vision and earth observation to..."
Link to event details: [Sociology Seminar at Nuffield College](www.nuffield.ox.ac.uk/news-events/...)
Link to event details: [Sociology Seminar at Nuffield College](www.nuffield.ox.ac.uk/news-events/...)
Event - Nuffield College Oxford University
www.nuffield.ox.ac.uk
November 19, 2025 at 12:23 PM
If you are in the vicinity of Oxford University, join me today at 4 pm for my talk at Nuffield College. Title: "Planetary Causal Inference: combining computer vision and earth observation to..."
Link to event details: [Sociology Seminar at Nuffield College](www.nuffield.ox.ac.uk/news-events/...)
Link to event details: [Sociology Seminar at Nuffield College](www.nuffield.ox.ac.uk/news-events/...)
Reposted by Planetary Causal Inference (PCI)
Exciting opportunity! Our AI and Global Development Lab is looking to fill a new position. Check out our research first at www.aidevlab.org for suitability.
Then, hurry, the job ad has a deadline approaching soon: lnkd.in/dbSUxibq.
Then, hurry, the job ad has a deadline approaching soon: lnkd.in/dbSUxibq.
AI & GLOBAL DEVELOPMENT LAB - AI and Global Development Lab
The AI & Global Development Lab fuses AI with Earth Observation to illuminate the causes and consequences of human development across time and space. Our interdisciplinary team, comprising data scient...
www.aidevlab.org
November 19, 2025 at 12:24 PM
Exciting opportunity! Our AI and Global Development Lab is looking to fill a new position. Check out our research first at www.aidevlab.org for suitability.
Then, hurry, the job ad has a deadline approaching soon: lnkd.in/dbSUxibq.
Then, hurry, the job ad has a deadline approaching soon: lnkd.in/dbSUxibq.
Reposted by Planetary Causal Inference (PCI)
"Counterfactuals. At planetary scale."
The Planetary Causal Inference (PCI) book launches soon:
planetarycausalinference.org/book-launch/
The Planetary Causal Inference (PCI) book launches soon:
planetarycausalinference.org/book-launch/
November 17, 2025 at 2:57 PM
"Counterfactuals. At planetary scale."
The Planetary Causal Inference (PCI) book launches soon:
planetarycausalinference.org/book-launch/
The Planetary Causal Inference (PCI) book launches soon:
planetarycausalinference.org/book-launch/
Reposted by Planetary Causal Inference (PCI)
Are you interested in using earth observation data and deep learning for estimating poverty in Africa, poverty specifically? Then apply to this research engineer position at AI and Global Development Lab. More info about our research at www.aidevlab.org . Deadline is 7th Nov.
lnkd.in/ePX7VT-K
lnkd.in/ePX7VT-K
AI & GLOBAL DEVELOPMENT LAB - AI and Global Development Lab
The AI & Global Development Lab fuses AI with Earth Observation to illuminate the causes and consequences of human development across time and space. Our interdisciplinary team, comprising data scient...
www.aidevlab.org
November 4, 2025 at 1:31 PM
Are you interested in using earth observation data and deep learning for estimating poverty in Africa, poverty specifically? Then apply to this research engineer position at AI and Global Development Lab. More info about our research at www.aidevlab.org . Deadline is 7th Nov.
lnkd.in/ePX7VT-K
lnkd.in/ePX7VT-K
Reposted by Planetary Causal Inference (PCI)
When on-the-ground data are scarce or outdated, satellites can keep the evidence flowing. Our guide shows how to turn data from satellites into useful causal claims, improving targeting + evaluation, avoiding common issues related to resolution mismatch / leakage / spatial dependence.
October 10, 2025 at 11:03 AM
When on-the-ground data are scarce or outdated, satellites can keep the evidence flowing. Our guide shows how to turn data from satellites into useful causal claims, improving targeting + evaluation, avoiding common issues related to resolution mismatch / leakage / spatial dependence.
Reposted by Planetary Causal Inference (PCI)
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
October 1, 2025 at 6:52 AM
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
Reposted by Planetary Causal Inference (PCI)
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...
August 18, 2025 at 7:13 PM
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...
Reposted by Planetary Causal Inference (PCI)
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
August 5, 2025 at 6:29 AM
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
Reposted by Planetary Causal Inference (PCI)
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
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
August 5, 2025 at 4:10 AM
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
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
Reposted by Planetary Causal Inference (PCI)
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
August 5, 2025 at 6:53 AM
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
Reposted by Planetary Causal Inference (PCI)
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
📊 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
August 2, 2025 at 7:01 PM
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
📊 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
Reposted by Planetary Causal Inference (PCI)
A First Course in Planetary Causal Inference: Confounding. Adel presents.
www.youtube.com/watch?v=oD7D...
www.youtube.com/watch?v=oD7D...
A First Course in Planetary Causal Inference: Confounding - Adel Daoud at IC2S2 2025
YouTube video by Planetary Causal Inference - Academic Content
www.youtube.com
July 22, 2025 at 12:41 PM
A First Course in Planetary Causal Inference: Confounding. Adel presents.
www.youtube.com/watch?v=oD7D...
www.youtube.com/watch?v=oD7D...
Reposted by Planetary Causal Inference (PCI)
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 https://arxiv.org/pdf/2504.19043 https://arxiv.org/html/2504.19043
April 29, 2025 at 6:20 AM
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 https://arxiv.org/pdf/2504.19043 https://arxiv.org/html/2504.19043
Reposted by Planetary Causal Inference (PCI)
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...
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...
AI & GLOBAL DEVELOPMENT LAB - AI and Global Development Lab
The AI & Global Development Lab fuses AI with Earth Observation to illuminate the causes and consequences of human development across time and space. Our interdisciplinary team—including data scientis...
aidevlab.org
May 11, 2025 at 7:16 AM
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...
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...
Reposted by Planetary Causal Inference (PCI)
🌍🤖 Join us for the 9th session of the AI for Earth and Sustainability Science Webinar Series!
📅 12 February 2025
⏰ 17:00 - 18:00 CET, Geneva
📚 Topic: Adapting Machine Learning for Atmosphere-Biosphere Coupling in Earth System Models
🔗: aiforgood.itu.int/event/adapti...
📅 12 February 2025
⏰ 17:00 - 18:00 CET, Geneva
📚 Topic: Adapting Machine Learning for Atmosphere-Biosphere Coupling in Earth System Models
🔗: aiforgood.itu.int/event/adapti...
February 5, 2025 at 7:50 PM
🌍🤖 Join us for the 9th session of the AI for Earth and Sustainability Science Webinar Series!
📅 12 February 2025
⏰ 17:00 - 18:00 CET, Geneva
📚 Topic: Adapting Machine Learning for Atmosphere-Biosphere Coupling in Earth System Models
🔗: aiforgood.itu.int/event/adapti...
📅 12 February 2025
⏰ 17:00 - 18:00 CET, Geneva
📚 Topic: Adapting Machine Learning for Atmosphere-Biosphere Coupling in Earth System Models
🔗: aiforgood.itu.int/event/adapti...
Reposted by Planetary Causal Inference (PCI)
On scaling laws for muli-scale dynamics in effect heterogeneity estimation.
Paper: arxiv.org/abs/2411.02134
More: planetarycausalinference.org
Paper: arxiv.org/abs/2411.02134
More: planetarycausalinference.org
March 19, 2025 at 5:14 PM
On scaling laws for muli-scale dynamics in effect heterogeneity estimation.
Paper: arxiv.org/abs/2411.02134
More: planetarycausalinference.org
Paper: arxiv.org/abs/2411.02134
More: planetarycausalinference.org
Reposted by Planetary Causal Inference (PCI)
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...
Rankings: aidevlab.org/rankings/
Raw data now on Hugging Face: huggingface.co/datasets/cje...
March 17, 2025 at 11:07 PM
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...
Rankings: aidevlab.org/rankings/
Raw data now on Hugging Face: huggingface.co/datasets/cje...
Reposted by Planetary Causal Inference (PCI)
Earth Observation Meets Adam Smith: Earth Observation AI in Policy Innovation for Global Development👇
planetarycausalinference.org/earth-observ...
planetarycausalinference.org/earth-observ...
Earth Observation Meets Adam Smith: Earth Observation AI in Policy Innovation for Global Development | Planetary Causal Inference
planetarycausalinference.org
February 12, 2025 at 4:54 PM
Earth Observation Meets Adam Smith: Earth Observation AI in Policy Innovation for Global Development👇
planetarycausalinference.org/earth-observ...
planetarycausalinference.org/earth-observ...
Reposted by Planetary Causal Inference (PCI)
New graduate course for Fall 2025 in ATX:
Topics in Causal Machine Learning and Earth Observation for Social Science
Topics in Causal Machine Learning and Earth Observation for Social Science
January 16, 2025 at 5:56 PM
New graduate course for Fall 2025 in ATX:
Topics in Causal Machine Learning and Earth Observation for Social Science
Topics in Causal Machine Learning and Earth Observation for Social Science
Reposted by Planetary Causal Inference (PCI)
Can LLMs (or humans) Disentangle Text? Nice video by one of our PhD students Nicholas Audinet de Pieucheron + collaborators (thanks @jerzakconnor.bsky.social!): www.youtube.com/watch?v=CW7H...
Can Large Language Models (or Humans) Disentangle Text? - Official Video
YouTube video by Connor T. Jerzak's Academic Content
www.youtube.com
January 29, 2025 at 12:54 PM
Can LLMs (or humans) Disentangle Text? Nice video by one of our PhD students Nicholas Audinet de Pieucheron + collaborators (thanks @jerzakconnor.bsky.social!): www.youtube.com/watch?v=CW7H...
Reposted by Planetary Causal Inference (PCI)
New CRAN package fastrerandomize with initial version 0.1
#rstats
https://cran.r-project.org/package=fastrerandomize
#rstats
https://cran.r-project.org/package=fastrerandomize
CRAN: Package fastrerandomize
Provides hardware-accelerated tools for performing rerandomization and randomization testing in experimental research. Using a 'JAX' backend, the package enables exact rerandomization inference even for large experiments with hundreds of billions of possible randomizations. Key functionalities include generating pools of acceptable rerandomizations based on covariate balance, conducting exact randomization tests, and performing pre-analysis evaluations to determine optimal rerandomization acceptance thresholds. The package supports various hardware acceleration frameworks including 'CPU', 'CUDA', and 'METAL', making it versatile across accelerated computing environments. This allows researchers to efficiently implement stringent rerandomization designs and conduct valid inference even with large sample sizes. The package is partly based on Jerzak and Goldstein (2023) <<a href="https://doi.org/10.48550%2FarXiv.2310.00861" target="_top">doi:10.48550/arXiv.2310.00861</a>>.
cran.r-project.org
January 13, 2025 at 6:02 PM
New CRAN package fastrerandomize with initial version 0.1
#rstats
https://cran.r-project.org/package=fastrerandomize
#rstats
https://cran.r-project.org/package=fastrerandomize
Reposted by Planetary Causal Inference (PCI)
New on CRAN: fastrerandomize (0.1). View at https://CRAN.R-project.org/package=fastrerandomize
January 13, 2025 at 9:16 PM
New on CRAN: fastrerandomize (0.1). View at https://CRAN.R-project.org/package=fastrerandomize