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Mitsuru Mukaigawara, MD, MPP

@mitsurumu.bsky.social
242 followers 130 following 17 posts

Physician-political scientist and applied statistician @harvard.edu. Radcliffe Fellow @rad-institute.bsky.social. Website: mitsurumukaigawara.com ProjectGEOCAUSAL: geocausal.org

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Reposted by Mitsuru Mukaigawara, MD, MPP
Weatherhead Center for International Affairs @weatherheadcenter.bsky.social · 19/05/2026
Excellent thread on the containment trap 👇
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Mitsuru Mukaigawara, MD, MPP @mitsurumu.bsky.social · 18/05/2026
Ebola is back in the DRC. We know epidemics and conflict tend to coincide — but how, why, and when does an epidemic actually intensify civil conflict? My job market paper offers an overarching framework. 🧵
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Mitsuru Mukaigawara, MD, MPP @mitsurumu.bsky.social · 14/05/2026
I’m delighted to share that I’ll be joining the Radcliffe Institute’s 27th class of fellows this fall, where I’ll work on my book project on epidemics, conflict, and international security.
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Mitsuru Mukaigawara, MD, MPP @mitsurumu.bsky.social · 15/01/2026
Our new ProjectGEOCAUSAL website is live! We’ll be posting the latest updates on cutting-edge applications of spatiotemporal causal inference to address the world’s most pressing problems. Check it out: geocausal.org
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Mitsuru Mukaigawara, MD, MPP @mitsurumu.bsky.social · 07/11/2025
We propose a spatiotemporal causal inference framework that fully leverages microlevel, granular data. ATE, heterogeneity, and mediation — all in one framework. Now with updated results and visualizations!
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Mitsuru Mukaigawara, MD, MPP @mitsurumu.bsky.social · 30/07/2025
New working paper: “Survey Estimates of Wartime Mortality,” with Gary King, available at gking.harvard.edu/sibs. We provide the first formal proofs of the statistical properties of existing mortality estimators, along with empirical illustrations, to develop intuitions that guide best practices.
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Mitsuru Mukaigawara, MD, MPP @mitsurumu.bsky.social · 08/07/2025
Excited to present our poster on spatiotemporal causal inference at #PolMeth 2025. Looking forward to seeing many of you there! Paper: arxiv.org/abs/2504.03464 Package: github.com/mmukaigawara...
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Reposted by Mitsuru Mukaigawara, MD, MPP
Jason "Red5" Lyall @jaylyall.bsky.social · 08/07/2025
Interested in causal inference using high-frequency, fine-grained geospatial data? Check out our 2025 PolMeth poster on spatial-temporal causal inference, designed by the wildly talented @mitsurumu.bsky.social. We examine the effects of US airstrikes and civilian harm on insurgent attacks in Iraq
Our PolMeth 2025 poster, which details how we analyze the effects of US airstrikes on insurgent attacks in Iraq using a new geospatial approach and associated R software package ("geocausal")
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Reposted by Mitsuru Mukaigawara, MD, MPP
Jason "Red5" Lyall @jaylyall.bsky.social · 08/04/2025
New paper alert (hey, I can't doom scroll all the time): This one's on doing causal inference with "microlevel data" where we suspect that the treatment has spatial spillover & temporal carryover effects. We illustrate our new approach + package w/ application to US counterinsurgency efforts in Iraq
arxiv.org
Spatiotemporal causal inference with arbitrary spillover and carryover effects
Micro-level data with granular spatial and temporal information are becoming increasingly available to social scientists. Most researchers aggregate such data into a convenient panel data format and a...
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Mitsuru Mukaigawara, MD, MPP @mitsurumu.bsky.social · 07/04/2025
How can we identify causal effects using micro-level data? Our new framework estimates ATEs, probes causal mechanisms, and uncovers heterogeneity—all in one. We illustrate it with an analysis of airstrikes and insurgent attacks in Iraq. arxiv.org/abs/2504.03464
arxiv.org
Spatiotemporal causal inference with arbitrary spillover and carryover effects
Micro-level data with granular spatial and temporal information are becoming increasingly available to social scientists. Most researchers aggregate such data into a convenient panel data format and a...
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Reposted by Mitsuru Mukaigawara, MD, MPP
Jason "Red5" Lyall @jaylyall.bsky.social · 04/12/2024
Here's one example of how we used geocausal to estimate the effects of different distributions of US airstrikes in Iraq on insurgent attacks (open access): academic.oup.com/jrsssb/artic...
academic.oup.com
Causal Inference with Spatio-Temporal Data: Estimating the Effects of Airstrikes on Insurgent Violence in Iraq
Abstract. Many causal processes have spatial and temporal dimensions. Yet the classic causal inference framework is not directly applicable when the treatm
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Reposted by Mitsuru Mukaigawara, MD, MPP
Jason "Red5" Lyall @jaylyall.bsky.social · 19/11/2024
Want to do causal inference using high-frequency geospatial data with temporal carryover or spatial spillover effects? We've created a new R package, geocausal, that lets you estimate counterfactuals at user-specified intervals for different distributions of a treatment github.com/mmukaigawara...
github.com
GitHub - mmukaigawara/geocausal: Causal inference with spatio-temporal data in R
Causal inference with spatio-temporal data in R. Contribute to mmukaigawara/geocausal development by creating an account on GitHub.
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Reposted by Mitsuru Mukaigawara, MD, MPP
Joshua Kertzer @jkertzer.bsky.social · 12/08/2024
New in AJPS with @carlynwayne.bsky.social @mitsurumu.bsky.social @profmholmes.bsky.social: how do group dynamics affect assessments of resolve and costly signals? #polisky onlinelibrary.wiley.com/doi/10.1111/...
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Reposted by Mitsuru Mukaigawara, MD, MPP
Jason "Red5" Lyall @jaylyall.bsky.social · 12/10/2023
Interested in doing causal inference with spatio-temporal data? We've got a new R package, geocausal, that allows you to estimate causal effects + counterfactuals for super fine grained data over user-specified spatial + temporal windows. Download it here. (Paper TK soon). polisky
github.com
GitHub - mmukaigawara/geocausal: Causal inference with spatio-temporal data in R
Causal inference with spatio-temporal data in R. Contribute to mmukaigawara/geocausal development by creating an account on GitHub.
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