Health AI Lab | samantha kleinberg
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Health AI Lab | samantha kleinberg
@healthailab.org
Health and AI Lab at Stevens Institute of Technology. Causal inference, precision nutrition, diabetes, decision making, and health informatics. http://www.healthailab.org
Reposted by Health AI Lab | samantha kleinberg
Thrilled to share this new paper: in a pilot randomized trial, text messages with causal information led to meaningful increases in physical activity, while non-causal texts did not. Surprisingly, people also wanted more messages than the every other day text schedule doi.org/10.2196/80090 #medsky
Evaluating Causal and Noncausal Text Messages to Promote Physical Activity in Adults: Randomized Pilot Study
Background: Physical inactivity increases the risk of chronic disease and reduces life expectancy, yet adherence to physical activity (PA) guidelines remains low. SMS text messages are promising for p...
doi.org
November 25, 2025 at 1:53 PM
MIKE
Chappell Roan
CMAT
Lady Gaga
Valerie June
Introduce yourself with five concerts you've seen THIS YEAR,
so I can stop being reminded of how old we all are on here 😉

Little Simz
JID
FKA twigs
Perfume Genius
Mereba
Introduce yourself with five concerts you’ve seen

Pixies
Breeders & Nirvana
Bikini Kill
Sonic Youth
Shonen Knife
November 28, 2025 at 12:41 PM
Thrilled to share this new paper: in a pilot randomized trial, text messages with causal information led to meaningful increases in physical activity, while non-causal texts did not. Surprisingly, people also wanted more messages than the every other day text schedule doi.org/10.2196/80090 #medsky
Evaluating Causal and Noncausal Text Messages to Promote Physical Activity in Adults: Randomized Pilot Study
Background: Physical inactivity increases the risk of chronic disease and reduces life expectancy, yet adherence to physical activity (PA) guidelines remains low. SMS text messages are promising for p...
doi.org
November 25, 2025 at 1:53 PM
New paper! How many days of dietary data do we really need to collect? We find that during pregnancy it is more than many studies collect, and depends on the target being estimated (macronutrients needing most days, HEI and timing least). #nutsky doi.org/10.1016/j.aj...
Redirecting
doi.org
November 25, 2025 at 1:23 PM
New work with Dave Lagnado out now! Using qualitative + quantitative data we find people reason differently with causal information and see how they bring in prior beliefs. Call to action on methods: if we want to make claims about real world, we need to use realistic stimuli doi.org/10.3389/fcog...
Frontiers | Causal information changes how we reason: a mixed-methods analysis of decision-making with causal information
Causal information, from health guidance on diets that prevent disease to financial advice for growing savings, is everywhere. Psychological research has sho...
doi.org
August 12, 2025 at 4:00 PM
I’m so excited to be speaking at this conference and looking forward to the contributed talks! What is (and should be) a variable is my absolute favorite under discussed topic in causality. Everything follows from this choice, but how should we make it?
To Be or Not to Be Included in a Causal Model
February 28, 2026 @ 9:00 am - March 1, 2026 @ 5:00 pm EST
Venue and Date: Center for Philosophy of Science, February 28 & March 1, 2026
Keynote Speakers:
Samantha Kleinberg (Stevens Institute of Technology)
Lily Hu (Yale University)
August 11, 2025 at 10:33 PM
Reposted by Health AI Lab | samantha kleinberg
To Be or Not to Be Included in a Causal Model
February 28, 2026 @ 9:00 am - March 1, 2026 @ 5:00 pm EST
Venue and Date: Center for Philosophy of Science, February 28 & March 1, 2026
Keynote Speakers:
Samantha Kleinberg (Stevens Institute of Technology)
Lily Hu (Yale University)
August 11, 2025 at 9:59 PM
The Hidden Bias Pushing Women Out of Computing. Excited to see our paper finally being promoted! Regardless of gender, if you do applied work we find there is a real career penalty for it. But women are disproportionately affected because of diffs in research focus www.stevens.edu/news/the-hid...
The Hidden Bias Pushing Women Out of Computer Science
Stevens professor’s research reveals systemic undervaluation of applied research that disproportionately affects women
www.stevens.edu
June 17, 2025 at 5:59 PM
I’ve written two books on causality, yet was thrilled to find a study on associations involving an understudied health condition where I think an exposure may be causal. Why? Because there was zero evidence before and without even associations it’s hard to argue it’s worth studying (and funding!).
No-one cares whether smartphone use, or any other exposure, is ASSOCIATED with health!

This tells us nothing of practical use.

The only thing we should care about finding out is to what extent smartphone use, or any other exposure, CAUSE mental health.

STOP ESTIMATING ASSOCIATIONS!
May 13, 2025 at 2:28 PM
Reposted by Health AI Lab | samantha kleinberg
🚨big new paper🚨Using surveys of faculty and data on >10K researchers we find 1) faculty have more negative views of applied researchers vs theoretical, 2) data shows there is a career penalty for doing applied work, and 3) women are more represented in applied research. doi.org/10.1109/ACCE... 1/5
Where the Women Are: Gender Imbalance in Computing and Faculty Perceptions of Theoretical and Applied Research
Women remain under-represented in academic science, and this is especially true in computing. While little is known about the role of gender differences in research focus, there is evidence that women...
doi.org
April 24, 2025 at 8:20 PM
🚨big new paper🚨Using surveys of faculty and data on >10K researchers we find 1) faculty have more negative views of applied researchers vs theoretical, 2) data shows there is a career penalty for doing applied work, and 3) women are more represented in applied research. doi.org/10.1109/ACCE... 1/5
Where the Women Are: Gender Imbalance in Computing and Faculty Perceptions of Theoretical and Applied Research
Women remain under-represented in academic science, and this is especially true in computing. While little is known about the role of gender differences in research focus, there is evidence that women...
doi.org
April 24, 2025 at 8:20 PM
Nice overview of our work showing responses to meals can be predicted even without microbiome and other invasive data! www.stevens.edu/news/stevens... 🩺 🖥️
Stevens Researchers Put Glycemic Response Modeling On a Data Diet
Data-sparse method opens door to personalized nutrition—without the stool samples
www.stevens.edu
April 10, 2025 at 6:05 PM
If you use CGM or activity data our paper accepted to #CHIL2025 has big news: we benchmarked lots of imputation methods using real missing data mechanisms (not just random deletion) and it turns out … linear interpolation is the winner no matter what the mechanism or % missing data.
April 9, 2025 at 9:41 PM
Two exciting new papers coming to CogSci 2025: Go Big or Go Hoax (the bigger the more believable for both conspiracies and facts), Causal and Counterfactual Reasoning about Gradual and Abrupt Events (timing matters for token causality and causal attribution doesn’t always track counterfactuals)
April 9, 2025 at 2:22 PM
New paper just accepted to JBI: we introduce new methods for causal inference in health data with different variables for different patients. Such a common problem and yet there haven’t been any solutions!
April 8, 2025 at 10:53 AM
New paper! We show incrementally retrained LSTM can be used to personalize BG forecasting for people with T1D. Best part is we can do it with a cold start! ieeexplore.ieee.org/document/107...
Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTM
For people with Type 1 diabetes (T1D), accurate blood glucose (BG) forecasting is crucial for the effective delivery of insulin by Artificial Pancreas (AP) systems. Deep learning frameworks like Long ...
ieeexplore.ieee.org
March 24, 2025 at 1:25 PM
Thrilled to share our new paper on predicting glycemic responses to meals in people with diabetes with limited data 1) we show it can be done without microbiome or personalized training data 2) we address questions about intra individual variation! journals.sagepub.com/doi/10.1177/... 1/3 🩺 💻
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
journals.sagepub.com
March 5, 2025 at 1:21 PM
“I’m alive. You’re alive. It’s beautiful. That’s why we shouldn’t be consuming life through technology.” www.nytimes.com/2025/01/30/s...
Luddite Teens Still Don’t Want Your Likes (Gift Article)
Three years after starting a club meant to fight social media’s grip on young people, many original members are holding firm and gaining new converts.
www.nytimes.com
January 30, 2025 at 8:04 PM
At long last! The Routledge Handbook of Causality and Causal Methods is here! I wrote a chapter on “Going from Models to Action” and the bigger question of what makes causal models useful
January 28, 2025 at 8:21 PM
Reposted by Health AI Lab | samantha kleinberg
(For example, why is there no feedback mechanism for patients who are end recipients of clinician-focused AI tools?

How can we improve the consent process for new AI tools?

How can we move from fixating on AI error to addressing how to fix any errors in HC, including human errors?)

bit.ly/42bkqwG
A Tale of Three Artificial Intelligence (AI) Experiences in Healthcare Interactions
AI tools are being increasingly used in healthcare, particularly for tasks like clinical notetaking during virtual visits. As a patient, I’ve had three recent experiences with AI-powered notetaking to...
bit.ly
January 10, 2025 at 8:39 PM
Great list and I’m thrilled to be thought of as an experimental philosopher! (Especially as I am currently writing an experimental philosophy grant proposal)
I began making a starter pack for Experimental Philosophers.

But then I wondered, “Is there already an #xPhi starter pack?”

If this is the first, then let’s fill out the list of all the people I’m missing.

Recommendations and self-nominations welcome!

go.bsky.app/ombTiW
January 8, 2025 at 4:18 PM
Checking out @altmetric.com’s bsky integration I was thrilled to see my collaborator Jessecae Marsh quoted in this! We didn’t study shopping but our findings did change how I approach it. There is no “best” umbrella/moisturizer/dog treat! (1/2) www.businessinsider.com/online-shopp...
'I just can't': Why so many consumers are sick and tired of online shopping
It's not just you. 74% of shoppers say they've abandoned their online shopping cart because they were too overwhelmed by all the options.
www.businessinsider.com
December 3, 2024 at 8:49 PM
Just another example of why we have to get away from the idea that more info can’t hurt, and at worst is neutral. We can’t always foresee all the risks and need to be more thoughtful about whether benefits are worth potentially unknown future harms.
Why I regret using 23andMe: I gave up my DNA just to find out I’m British
www.theguardian.com/technology/2... via @theguardian.com

Me: “We are told by pop culture that we are supposed to care – that your genes matter. But a lot of people get their results and find it very underwhelming.”
Why I regret using 23andMe: I gave up my DNA just to find out I’m British
I gave away my genetic information to a now imploding company for results that inspired nothing but ambivalence
www.theguardian.com
December 3, 2024 at 3:28 PM
Nice overview of our study showing limits of current methods to capture diet and the reality of what people eat during pregnancy www.stevens.edu/news/pregnan...
Pregnant People Might Not Be Getting the Nutrients They Need, According to New Research from Stevens
New research from Stevens Institute of Technology reveals startling shortfalls in dietary nutrition during pregnancy
www.stevens.edu
November 20, 2024 at 2:34 AM