@jacobjameson.com
PhD candidate Harvard Decision Science ⚖️ 🏥 | T32 Predoc Comparative Effectiveness Research for Suicide Prevention | Causal Inference 📈, Reinforcement Learning 🧠, Modeling 💻, Teaching 👨🏻🏫, Reproducibility 🐳 Jacobjameson.com
⏰ 3 days left! SMDM (@smdm.bsky.social) 2026 short course proposals due Tuesday (I'm short course co-chair this year)
Past topics: DES in R, causal inference, measuring preferences, value of information, reproducible programming
Oslo 🇳🇴 | 6.28–7.1
#smdm2026
Congratulations to CHDS's @jacobjameson.com and all the finalists!
Excited to be named a finalist for the INFORMS Health Applications Society student paper competition for my paper on discretionary image batching in the emergency department!
Paper here 👇
papers.ssrn.com/sol3/papers....
Losing a friend. Older men have the highest suicide rate of any demographic group. This challenge doesn't get nearly the attention it should. www.chicagotribune.com/2025/08/13/o...
New life update! Married my best friend @madisoncoots.com
Check out this new article by CHDS doctoral student @jacobjameson.com and colleagues
Findings suggest that older males may be particularly immune to the benefits of existing regulations such as policies targeting age minimums
What’s new?
📍 We combine CDC mortality data with state gun policy scores (2018–2022)
📍 We reveal where and when suicide risks diverge most by sex & policy
🔵 In permissive states, male suicide risk is:
• Higher in YA (15–34)
• Steepest in late life (65+)
• Driven by firearms
🚨 NEW in American Journal of Preventive Medicine with Nate Glasser, Nabil Baker, Harold Pollack, & Elizabeth Tung
We show that permissive state firearm policies amplify sex differences in suicide—especially among young and older men
🔗 t.co/1kZ24LPkmW
Unfortunately, one of the many the grants canceled at @Harvard.edu was my T32 in Comparative Effectiveness Research for Suicide Prevention
If you’re coming to #SMDM47 @smdm.bsky.social come see the previously funded great work we are doing related to suicide prevention
If you’re looking to improve your collaborative workflow, computational reproducibility, or just how to make the most out of version control — this is for you 👇👇
If you are going to @smdm.bsky.social consider this short course with @madisoncoots.com and CHDS's @jacobjameson.com
Woo 🥳 3rd consecutive year I will be teaching my reproducibility and project management short course at #SMDM annual meeting
ALSO if anyone knows any health/med journals looking to up their code sharing and reproducibility requirements please let me know 🙏
🚨New in Clinical Pharmacology & Therapeutics
We find underrepresented groups have significantly lower exposure to medications with actionable PGx guidance—highlighting a critical obstacle to equitable genomically-guided personalized medicine 💊
ascpt.onlinelibrary.wiley.com/doi/10.1002/...
Reminded of a special memory: in 4th grade my best friend Zach came to school kinda down. I asked what’s wrong and he said he just listened to the saddest song and it’s got him feeling kinda down. He pulls out his iPod to have me listen to the theme song from the tv show Scrubs
New blog post: A Gentle Introduction to Bayesian Linear Regression in R 📊
jacobjameson.com/posts/2025-0...
We find that quasi random assignment to a “batcher” relative to a “sequencer” physician has implications for:
LOS 📈
Imaging volume 📈
72hr return with admission 📉
We examine ED physician variation in tendency to batch order diagnostic imaging (the practice of placing multiple imaging test orders at the same time).
Would you rather be seen by an ED physician who orders their tests in a batch or in sequence?
👩⚕️👨⚕️🩻
New in Feb 2025 issue of HSR by Soroush Saghafian, Nicole Hodgson, Rob Huckman, and I
"HKS researchers create an analytical framework that informs the ongoing medical debate over whether to use race-unaware or race-aware risk assessments."
@madisoncoots.com 👏👏👏
t.co/95lyhM9Md4
Join our lab!
PIAS-Lab at Harvard Kennedy School is accepting new applications for a Postdoctoral Fellow position. More information can be found 👇👇👇
scholar.harvard.edu/sites/schola...
So excited this finally out!! 🥳 Thread on our new paper 👇
A screenshot of the first page of our paper, Learning to Be Fair, showing the title and abstract.
NEW in Management Science!
My coauthors and I came up with a new consequentialist approach to designing equitable algorithms.
Instead of imposing fairness criteria on an algorithm (like equal false negative rates), we aim for good outcomes.
More in the 🧵 below! (1/)
Happy birthday to my beautiful fiancée @madisoncoots.com ❤️
🚨 Excited to share our new article in @annualreviews.bsky.social. Working with Kristin Linn, @5harad.com, Amol Navathe, and Ravi Parikh, we examine the fairness debates of seven prominent and controversial healthcare algorithms.🧵 madisoncoots.com/files/racial...
The use of race in clinical risk models is heavily debated. While race-aware models can be more accurate, some are concerned about reinforcing racialized views of medicine. In our paper, we offer a new perspective on this debate. 🧵👇https://annals.org/aim/article/doi/10.7326/M23-3166
Final office hours today for MPP microeconomics at the Kennedy school. Absolutely packed!
Abstract for "A Framework
Using race in medical risk assessments is hotly debated, with some arguing that doing so improves accuracy while others worry it reinforce pernicious attitudes. With @madisoncoots.com and colleagues, we identify a statistical twist that's been largely overlooked. 5harad.com/papers/race-...
