Yale Institute for Network Science. Events. News. Cool stuff about network science, data science, science in general. And related matters.
Yale University
Joined February 2014
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Yale Network Science retweeted
I spoke with The Daily about what’s happening to math in the age of AI—and what it feels like to be a mathematician right now.
The conversation went places I hadn’t expected.
I’m grateful to @RachelAbramsNY, @annieminoff, and their team.
nytimes.com/2026/10/13/podca… via @NYTimes
Yale Network Science retweeted
Happy to share new working paper: "Machine Learning Models Trained on a Longitudinal Survey Dataset Poorly Predict Hundreds of Life Outcomes" arxiv.org/abs/2610.17115 You can hear Emily Cantrell present it Thurs Oct 15 at Oxford seminar and online: metrics-and-models.github.io…
Yale Network Science retweeted
Science often requires hard work and long hours, but a key joy is that this often prompts a psychological state of flow -- where time stands still and you are totally absorbed by the work you do.
New #FLOS vlog, #3 in a 6-part series on WORKING HARD.
youtu.be/6Kjv87x_6mY
Yale Network Science retweeted
Don’t mess with FDS Senior Admin Kayla Lindauer — she just took 3rd in the Women’s Black Belt Concrete Foot Stomp Division at the US Open USBA Karate Breaking Championships! We’re proudly rooting for her as she trains for the world games in Norway this November. Go Kayla!
Yale Network Science retweeted
The first time my name appears on an executive order. Part of the research done in collaboration by @kass_paul and @yaronsinger at @robusthq
DeepSeek AI poses a threat to the security and safety of the citizens of Virginia. We must continue to take steps to safeguard our operations and information from the Chinese Communist Party. This executive order is an important part of that undertaking. governor.virginia.gov/newsro…
Yale Network Science retweeted
New WP!
The illusory truth effect (repetition -> belief) is core to psych of beliefs, & thought to be a deep bias impacting misinfo, persuasion & advertising
Why would cognition include such a flaw? We argue it is a rational adaptation to high-quality info environments 🧵1/
ALT https://osf.io/preprints/psyarxiv/qvwdy_v2
Yale Network Science retweeted
A depressing picture of the market for PhD economists.
Job postings down by more han 26% relative to 2019 (down by about 25% relative to 2022).
Via @cawley_john
Yale Network Science retweeted
In work out in December 2024 in @SciReports, Matt Jones and I conduct experiments to study the role of leadership within factions of larger groups struggling to reach consensus on a contentious topic. 1/
Yale Network Science retweeted
We can actually predict who your friends are based on whether you have similar bacteria in your poop! And that metric outperforms other more usual social features, such as how you resemble your friends on a host of traits like age, sex, wealth, etc. 7/
Yale Network Science retweeted
Your friends shape your microbiome — and so do their friends, reports @NAChristakis nature.com/articles/d41586-0… Analysis of nearly 2,000 people living in remote villages in Honduras reveals who’s spreading gut microorganisms to whom.
Yale Network Science retweeted
The "Earth Intelligence Engine" creates realistic, simulated satellite imagery from the future, combining a physics-based model with generative AI to create realistic, simulated satellite imagery from the future. These images can help users see what their region might look like after a hurricane or other flooding event. Developed by researchers from @eapsMIT, @MITAeroAstro, @MIT_CSAIL, and the Media Lab, with collaborators from multiple other institutions, the tool has the potential to help policymakers and residents make better decisions about how to prepare in advance of a storm, and when to evacuate. news.mit.edu/2024/new-ai-too…
ALT A generative AI model visualizes what floods in Texas might look like in satellite imagery. The original photo, of an unflooded rural area, is on the left, and the AI generated image, showing the same area covered in brown floodwaters, is in on the right. Credit: Pre-flood images from Maxar Open Data Program via Gupta et al., CVPR Workshop Proceedings. Generated images from Lütjen et al., IEEE TGRS.
Yale Network Science retweeted
New Work in PNAS (pnas.org/doi/10.1073/pnas.24…): We find positive associations between long-term exposure to wildland smoke PM2.5 and nonaccidental, cardiovascular, ischemic heart disease, digestive, endocrine, diabetes, mental, and chronic kidney disease mortality rates.
Yale Network Science retweeted
My team is looking for a Postdoctoral Associate in Aging Studies and Data Science (postdocs.yale.edu/yale-postd…). Please help share!
Yale Network Science retweeted
Thrilled our paper examining sibling spillover effects is online at the American Journal of Sociology (journals.uchicago.edu/doi/10…). We argue the social process behind sibling correlations is a key understudied pathway for inter- and intragenerational transmission of advantages.
Yale Network Science retweeted
Reweighting the edges of a network via graph embeddings makes the community structure more easily detectable! Check our paper, just out in Scientific Reports! Great collaboration with Bianka Kovacs, Gergely Palla and @skojaku @IULuddy @SciReports
doi.org/10.1038/s41598-024-6…
Yale Network Science retweeted
Deeply sequenced microbiome data from non-industrialized settings are uncommon. In new #HNL work, we use metagenomic data from 1,871 people in 19 isolated Honduras villages to report associations between bacterial species and human phenotypes and factors. cell.com/cell-reports/pdfExt…
Yale Network Science retweeted
Today Sam Altman and I published a piece in TIME sharing our vision for how AI-driven personalized behavior change can transform healthcare and announcing the launch of Thrive AI Health, a new company funded by the OpenAI Startup Fund and Thrive Global, which will be devoted to building an AI health coach. The company’s mission is to use AI to democratize access to expert-level health coaching to improve health outcomes and address growing health inequities.
As @sama and I write, AI could go well beyond efficiency and optimization to something much more fundamental: improving both our health spans and lifespans.
With AI-driven personalized behavior change, we have the chance to finally reverse the trend lines on chronic diseases like diabetes and cardiovascular diseases, which are directly related to daily behaviors but not distributed equally across demographics.
DeCarlos Love — a brilliant product leader passionate about improving health outcomes — has left Google to become Thrive AI Health’s CEO, and I’m very much looking forward to working with him. And The Alice L. Walton Foundation is joining us as a strategic investor to help us scale our impact to underserved communities and reduce health inequities.
AI has become central to @Thrive's mission to improve health and productivity outcomes, and I’m incredibly passionate about the opportunity to leverage AI to deliver hyper-personalized behavior change across the five key behaviors that Thrive focuses on and that govern our health: sleep, food, movement, stress management and connection. The AI health coach will be embedded in Thrive’s behavior change platform and we look forward to bringing this innovative offering to the market.
Read more in @TIME: bit.ly/3WbFQ9I
Yale Network Science retweeted
Co-evolutionary dynamics of mammalian brain and body size nature.com/articles/s41559-0…
Yale Network Science retweeted
In new work from #HNL in @NatureComms, we explore the ability of simple AI to affect the capacity of creativity of human groups. This work continues a stream of work we inaugurated in 2017, studying “hybrid systems” of humans and machines. 1/ nature.com/articles/s41467-0…
