Announcing (w @adamsmith.xyz @thejonullman.bsky.social) the 2025 edition of the Foundations of Responsible Computing Job Market Profiles! Check out 40 job market candidates in mathematical research in computation and society writ large! Link: drive.google.com/file/d/1zvsr...

Bayesian probability, like frequentist probability, is a model-based activity that is mathematically anchored by physical randomization at one end and calibration to a reference set at the other statmodeling.stat.columbia.edu/2025/10/20/b...

A 2024 study found that ants best humans at tests of collective intelligence. Learn more on #WorldAnimalDay: https://scim.ag/42nMvQJ

I could have sworn I created this before on our Previous Parish, but couldn't find it so made it fresh. I present: OUR BLESSED mixed models // THEIR BARBAROUS fixed effects

New differential #privacy textbook in town: "DP in Artificial Intelligence: From Theory to Practice", by @nandofioretto.bsky.social and @vanhentenryck.bsky.social. Open access, w/ chapters by @jubaz.bsky.social, @grahamrc.bsky.social, and @stein.ke! www.nowpublishers.com/article/Book...

Experimentation and thinking at the level of a program of experiments statmodeling.stat.columbia.edu/2025/09/05/e...

🚨 I am co-chairing ALT 2026 this year with Matus Telgarsky. The submission server is open so please submit your best work! Deadline: Oct 2, 2025 AoE Confernece: Feb 23-26, 2026 in Toronto! Website: algorithmiclearningtheory.org/alt2026/

Socio-Spatial Patterns of Suicide Mortality in the United States https://www.medrxiv.org/content/10.1101/2025.08.29.25334693v1

Survey Statistics: connections to experimental design statmodeling.stat.columbia.edu/2025/09/02/s...

🚨 New postdoc position in our lab at Berkeley EECS! 🚨 (please reshare) We seek applicants with experience in language modeling who are excited about high-impact applications in the health and social sciences! More info in thread 1/3

Applications are open for SFI's 2026 Complexity Postdoctoral Fellowships. SFI offers early-career scholars intellectual freedom, competitive benefits, research funds, and collaboration with leading scientists. Learn more: santafe.edu/news-center/news/join-sfi-as-a-complexity-postdoctoral-fellow

I've been working on a new tool, Refine, to make scholars more productive. If you're interested in being among the very first to try the beta, please read on. Refine leverages the best current AI models to draw your attention to potential errors and clarity issues in research paper drafts. 1/

How information sharing in social media has slowly shifted from public posting to private channels. Strong empirical evidence from Facebook by the one and only Kiran Garimella. DETOX #ICWSM.

UB's new Department of AI and Society is hiring faculty across ranks (Assistant, Associate, Full Professor). We’re looking for transdisciplinary scholars interested in building AI by society, for society. Start dates begin Fall 2025. More info: www.ubjobs.buffalo.edu/postings/57734

Nice new paper in PNAS providing further evidence that random/long ties help social contagions — even many that would be labeled "complex contagions" www.pnas.org/doi/10.1073/... @davidlazer.bsky.social

~~ making sense of academic statistics ~~ i wrote about the confusing relationship between statistics and data analysis, and also about how statistics relates to science #statistics #rstats #datascience www.alexpghayes.com/post/making-...

ACM EAAMO, which is coming to Pitt this Fall, has two events for students: a doctoral consortium and a poster session, both of which are due July 25th - poster session conference.eaamo.org/cfp/call_for... - doctoral consortium conference.eaamo.org/cfp/call_for...

ACM EAAMO, which is coming to Pitt this Fall, has two events for students: a doctoral consortium and a poster session, both of which are due July 25th - poster session conference.eaamo.org/cfp/call_for... - doctoral consortium conference.eaamo.org/cfp/call_for...

nice piece by Pitt Swanson School of Engineering, showcasing three recent privacy works with @papachristoumarios.bsky.social and @yuxin-pitt.bsky.social - news.engineering.pitt.edu/who-sees-who/

🚨Free data alert!! 🚨 Please share. Large new dataset of Amazon product reviews, including full text and photos and product characteristics, with individual *reviews labeled as fake reviews*. I believe this is the first publicly available data of this kind. github.com/bretthollenb...

We are hiring, @arc-mpib.bsky.social a postdoc for a project to investigate why citizens feel alienated from liberal democracy and how a shared sense of reality can be restored. Work with @lfoswaldo.bsky.social @anaskozyreva.bsky.social, Ralph Hertwig and me: www.mpib-berlin.mpg.de/2084802/2025...

New by @ericfeltham.bsky.social, Laura Forastiere, and @nachristakis.bsky.social: an extraordinarily ambitious effort to scale up and bring Krackhardt's classic work on cognitive social structures (CSSs) into the 21st century. Super excited to see it in print. www.nature.com/articles/s41...

People not only form social networks, they construct mental maps of them. People think about the ties between other people, including ties among individuals to whom they are not themselves directly connected. These “cognitive social networks” have rarely been studied. 1/

in a sequential social learning scenario, a sequence of agents make binary decisions on the basis of their private signals and information available to them from past choices. information cascade in this scenario refers to discounting of new private information in favor of past public actions

in a sequential social learning scenario, a sequence of agents make binary decisions on the basis of their private signals and information available to them from past choices. information cascade in this scenario refers to discounting of new private information in favor of past public actions

🥥🥥 Hoping to submit to CoCoMARL @rl-conference.bsky.social but need more time ⌛😱? Well you're in luck - we're extending our deadline *1 week* to June 6th! See our call for papers and the link to submit below! 🥥🥥 sites.google.com/view/cocomar...

Conformal-DP: Differential Privacy on Riemannian Manifolds via Conformal Transformation Peilin He, Liou Tang, M. Amin Rahimian, James Joshi http://arxiv.org/abs/2504.20941

tempting

You can bound Rényi divergences in terms of KL divergences for tilted distributions. This is useful e.g. for Gaussians, where tilting just corresponds to shifting the distribution.

🚨 New working paper 🚨 Demand for LLMs: Descriptive Evidence on Substitution, Market Expansion, and Multi-Homing A key question for the business of AI is the extent to which LLMs are differentiated from each other. I use data from OpenRouter to take a first look. andreyfradkin.com/assets/deman...

We are hiring a postdoc! If you are interested in #impsci , social network interventions, and action research, please drop a message. Please share!

The fifth ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ‘25) November 5–7, 2025 in University of Pittsburgh, abstracts due 4/24, full papers 5/1 (AoE) conference.eaamo.org/cfp/

FORC 2025 accepted papers, lots of interesting stuff! responsiblecomputing.org/forc-2025-ac...

Just presented my paper on Differentially Private Sequential Learning at the 10th Conference on Network Science in Economics! We found something surprising: a well-designed privacy-preserving mechanism can both protect individual information and accelerate learning.

Now forthcoming here :) doi.org/10.1093/biom...

role of social connections in the initiation of misuse, sourcing & abuse of opioids is well documented but giving reliable statistical measures of these effects is hard. Our recent work attempts that nature.com/articles/s41...

role of social connections in the initiation of misuse, sourcing & abuse of opioids is well documented but giving reliable statistical measures of these effects is hard. Our recent work attempts that nature.com/articles/s41...

Print this out and put it on your pinboard! Most compact and at the same time clear and intuitive figure on possible associations between predictors and outcome (or variables). (source: journals.sagepub.com/doi/10.1177/..., by @dingdingpeng.the100.ci and @achatton.bsky.social)

happy architectural turkey day part II: robarts library at u. toronto, mathers & haldenby, 1973. 🦃🦃🦃

A network science starter pack as of November 27, 2024 Please suggest additions! go.bsky.app/MWbwLHC

I'm not going to edit the info, nor filter the entries (except if there is sthg offensive or spammy of course). I'll post in FCFS order, up to 4 people a day, for the next 2 weeks (14 days, starting tomorrow, my Monday). docs.google.com/forms/d/e/1F... That's all. Hope this helps, and good luck!

A quick thread on this short (3 page) paper appearing in SODA, giving a simple algorithm that makes predictions guaranteeing 2*Sqrt{T} "Distance to calibration" against an adversary. The result so simple I can describe it in thread. Joint with Eshwar, @ncollina.bsky.social, and Mirah:

🎇 PhD student internships in Computational Social Science at Microsoft Research NYC 🎇 These are 12 week, in person internships with some combo of Dan Goldstein, Jake Hofman, & David Rothschild Early (January - April) start dates somewhat preferred jobs.careers.microsoft.com/global/en/jo...

What’s the best way to structure a quantitative methods sequence? Our current take is roughly: 1) Probability/Inference/Regression 2) Causal Inference 3) Model based inference (MLE/Bayes) 4) Machine Learning

There's a history of bad lawsuits leaving us without vaccines, such as for Lyme disease

FYI: postdoc positions at the EnCORE Institute, at UCSD! They're "looking for exceptional candidates in all areas of foundations of data science including Algorithms, ML Theory, Optimization, AI foundations, and Computational Neuroscience." ⏰ Deadline: Jan 15 academicjobsonline.org/ajo/jobs/28847

If you are on the job market, and work on the kinds of topics that might be published in FORC ("Foundations of Responsible Computing"), fill out this form and get on the job list. This covers mathematical research on privacy, fairness, and related topics.

Differential Privacy Overview and Fundamental Techniques Ferdinando Fioretto, Pascal Van Hentenryck, Juba Ziani http://arxiv.org/abs/2411.04710

The AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-25) is back! 🔗 ppai-workshop.github.io **Submission deadline: Nov, 24** Topics of particular interest: - policy considerations for privacy; - privacy in AI agents and LLMs; - societal impact of privacy within AI.