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Amin Rahimian

@rahimian.bsky.social
557 followers 572 following 30 posts

assistant prof | networks, data, decisions aminrahimian.github.io sociotechnical.pitt.edu

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Reposted by Amin Rahimian
Nicholas A. Christakis @nachristakis.bsky.social · 15h
Postdoctoral Associate Position in Biosocial Science in the Human Nature Lab! We have a cutting edge research agenda in human social chemosignaling. Scientists with an interest in olfaction and AI or with experience in GC/MS or animal chemosignaling are especially encouraged. Please repost.
academicjobsonline.org
Yale University, Sociology - Human Nature Lab
Job #AJO30989, Postdoctoral Associate Position in Biosocial Science, Sociology - Human Nature Lab, Yale University, New Haven, Connecticut, US
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Amin Rahimian @rahimian.bsky.social · 31/08/2026
if your work touches privacy, security, resilience, AI, or analytics in healthcare/medical devices, please consider HMD-SPiRiT 2026. Nov 4 in San Jose; submissions due Sept 5. Topics span health data, medical devices, AI, PETs & genomics: tps.ieee-cs.org/2026/hmd-spi...
tps.ieee-cs.org
2nd IEEE HMD-SPiRiT Workshop | IEEE TPS 2026
IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications
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Reposted by Amin Rahimian
Ian Hussey @ianhussey.mmmdata.io · 14/08/2026
I’ve been told for years that it’s legally and ethically impossible to share medical RCT data. In 2024, the BMJ made sharing anonymised data mandatory, and now lots* of folk do it. Interesting how the barriers evaporated like that, isn’t it? *not everyone, compliance problems exist.
medrxiv.org
Availability of clinical trial individual patient data in the BMJ before and after adoption of a stringent data-sharing policy, compared with recent rates at other major medical journals
Background In 2024, the BMJ updated its data-sharing policy for clinical trials, requiring open deposit of deidentified individual participant data (IPD) before publication. We considered whether data...
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Reposted by Amin Rahimian
Dean Eckles @eckles.bsky.social · 23/07/2026
We're excited to be hosting CODE@MIT again this fall! We invite a mix of work involving experimentation — methods, cool experiments, industry reports, etc. Look for more info later on this year's invited speakers.
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Reposted by Amin Rahimian
Amin Rahimian @rahimian.bsky.social · 23/06/2026
arxiv.org/abs/2305.16590 addresses a trilemma in seeding under costly and privacy-sensitive network information to balance (i) cost of acquiring network data, (ii) benefit of improved seeding from more network data, and (iii) privacy loss from using network data (in both local & central DP regimes)
arxiv.org
Seeding with Differentially Private Network Information
In public health interventions such as distributing preexposure prophylaxis (PrEP) for HIV prevention, decision makers often use seeding algorithms to identify key individuals who can amplify interven...
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Amin Rahimian @rahimian.bsky.social · 23/06/2026
arxiv.org/abs/2305.16590 addresses a trilemma in seeding under costly and privacy-sensitive network information to balance (i) cost of acquiring network data, (ii) benefit of improved seeding from more network data, and (iii) privacy loss from using network data (in both local & central DP regimes)
arxiv.org
Seeding with Differentially Private Network Information
In public health interventions such as distributing preexposure prophylaxis (PrEP) for HIV prevention, decision makers often use seeding algorithms to identify key individuals who can amplify interven...
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Reposted by Amin Rahimian
Alex Teytelboym @t8el.bsky.social · 28/05/2026
The list of 290 papers we accepted for EC'26 is now up: ec26.sigecom.org/program/acce... We are really grateful to the whole programme committee for their hard work and to the authors for submitting many terrific papers. See you all in Rome in July 🍕🇮🇹🍝☀️🤖
ec26.sigecom.org
EC 2026 Accepted Papers - EC 2026
1. Congested Waiting Lists and Organ Allocation Authors: Itai Ashlagi (Stanford University), Ravi Jagadeesan (Stanford University), Pengyu Qian (Boston University) 2. Automated Social Science: Languag...
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Reposted by Amin Rahimian
Amin Rahimian @rahimian.bsky.social · 29/04/2026
@yuxin-pitt.bsky.social 's works span the theory-application spectrum nicely. In privacy-aware sequential learning (arxiv.org/abs/2502.19525), he develops randomized mechanisms that mitigate herding, providing new theoretical insights into how noise can enhance learning rather than hinder it. 1/3
arxiv.org
Privacy-Aware Sequential Learning
In settings like vaccination registries, individuals act after observing others, and the resulting public records can expose private information. We study privacy-preserving sequential learning, where...
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Amin Rahimian @rahimian.bsky.social · 29/04/2026
@yuxin-pitt.bsky.social 's works span the theory-application spectrum nicely. In privacy-aware sequential learning (arxiv.org/abs/2502.19525), he develops randomized mechanisms that mitigate herding, providing new theoretical insights into how noise can enhance learning rather than hinder it. 1/3
arxiv.org
Privacy-Aware Sequential Learning
In settings like vaccination registries, individuals act after observing others, and the resulting public records can expose private information. We study privacy-preserving sequential learning, where...
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Reposted by Amin Rahimian
Nikhil Garg @nkgarg.bsky.social · 23/04/2026
The EAAMO conference deadline is coming up! conference.eaamo.org/cfp/ Great community at intersection of CS-Operations-Econ and social good. Flexible publication format (e.g., non-archival option) and so costless to submit here as well!
conference.eaamo.org
Call for Participation
ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
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Amin Rahimian @rahimian.bsky.social · 12/03/2026
moment bound is tighter than Chernoff's bound Philips, Thomas K., and Randolph Nelson. The American Statistician 49.2 (1995): 175-178. www.tandfonline.com/doi/abs/10.1...
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Reposted by Amin Rahimian
Dean Eckles @eckles.bsky.social · 09/03/2026
Academic fields differ in their degree of consensus about what "better" publication venues are — here shown both for consensus about the "top 5" and for pairwise choices. Hello #econsky :) arxiv.org/abs/2603.00807 @jugander.bsky.social @danlarremore.bsky.social @aaronclauset.bsky.social
Figure 2: Fields vary widely in their consensus around top-5 venues and the general alignment of their prefer- ences. Whether one uses a field-level ranking constructed from the pairwise comparisons of all respondents in a field to predict an individual’s pairwise comparisons (horizontal axis) or assesses the degree to which individuals in a field agree on a top-5 (vertical axis), some fields (e.g. Economics) demonstrate a much more overlapping and organized set of preferences than others (e.g. Computer science).
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Dean Eckles @eckles.bsky.social · 18/02/2026
⚙️ Working at the intersection of causality and networks? We're organizing a satellite event at @netsciconf.bsky.social in Boston on June 1st. The focus is networks science and causal inference. Submit your work by March 10th! causnets.github.io
causnets.github.io
CausNetS: Toward a Causal Network Science
A NetSci 2026 Satellite
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Amin Rahimian @rahimian.bsky.social · 08/12/2025
WINE tutorial on Differential Privacy for Strategic Information Sharing and Learning today at 2 pm EST, in person and on zoom, link: sites.google.com/pitt.edu/win... with @jubaz.bsky.social @papachristoumarios.bsky.social and @yuxin-pitt.bsky.social
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Reposted by Amin Rahimian
Gautam Kamath @gautamkamath.com · 20/10/2025
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...
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Andrew Gelman et al. @statmodeling.bsky.social · 20/10/2025
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...
statmodeling.stat.columbia.edu
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 | St...
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Reposted by Amin Rahimian
Science Magazine @science.org · 04/10/2025
A 2024 study found that ants best humans at tests of collective intelligence. Learn more on #WorldAnimalDay: scim.ag/42nMvQJ
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Cameron Patrick @cameronpat.bsky.social · 09/09/2025
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
OUR BLESSED mixed models vs THEIR BARABAROUS fixed effects
OUR GLORIOUS Mundlak device vs THEIR WICKED demeaning
OUR GREAT variance components vs THEIR PRIMITIVE dummy variables
OUR NOBLE partial pooling vs THEIR BACKWARD unbiased estimates
OUR HEROIC maximum likelihoos vs THEIR BRUTISH least squares
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Clément Canonne @ccanonne.github.io · 25/08/2025
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...
Front cover: Differential Privacy in Artificial Intelligence: From Theory to Practice, now Publishers
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Andrew Gelman et al. @statmodeling.bsky.social · 05/09/2025
Experimentation and thinking at the level of a program of experiments statmodeling.stat.columbia.edu/2025/09/05/e...
statmodeling.stat.columbia.edu
Experimentation and thinking at the level of a program of experiments | Statistical Modeling, Causal Inference, and Social Science
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Reposted by Amin Rahimian
Jon Ullman @thejonullman.bsky.social · 04/09/2025
🚨 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/
algorithmiclearningtheory.org
ALT 2026 | ALT 2026 Homepage
The 37th International Conference on Algorithmic Learning Theory
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Reposted by Amin Rahimian
medRxivpreprint @medrxivpreprint.bsky.social · 02/09/2025
Socio-Spatial Patterns of Suicide Mortality in the United States www.medrxiv.org/content/10.1101/202…
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Reposted by Amin Rahimian
Andrew Gelman et al. @statmodeling.bsky.social · 03/09/2025
Survey Statistics: connections to experimental design statmodeling.stat.columbia.edu/2025/09/02/s...
statmodeling.stat.columbia.edu
Survey Statistics: connections to experimental design | Statistical Modeling, Causal Inference, and Social Science
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Reposted by Amin Rahimian
Emma Pierson @emmapierson.bsky.social · 22/08/2025
🚨 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
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Santa Fe Institute @sfiscience.bsky.social · 19/08/2025
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
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Ben Golub @bengolub.bsky.social · 24/07/2025
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/
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Reposted by Amin Rahimian
Luca Maria Aiello @lajello.bsky.social · 23/06/2025
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.
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Kenny Joseph @kennyjoseph.bsky.social · 17/07/2025
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
ubjobs.buffalo.edu
Assistant, Associate or Full Professor, AI & Society
The Department of AI and Society (AIS) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. The new AIS ...
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Reposted by Amin Rahimian
Dean Eckles @eckles.bsky.social · 16/07/2025
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
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alex hayes @alexpghayes.com · 15/07/2025
~~ 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-...
Screenshot of the text of the linked blogpost 1/4Screenshot of the text of the linked blogpost 2/4Screenshot of the text of the linked blogpost 3/4Screenshot of the text of the linked blogpost 4/4
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Amin Rahimian @rahimian.bsky.social · 15/07/2025
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...
conference.eaamo.org
Call for Posters
We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...
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Amin Rahimian @rahimian.bsky.social · 15/07/2025
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...
conference.eaamo.org
Call for Posters
We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...
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Amin Rahimian @rahimian.bsky.social · 12/07/2025
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/
news.engineering.pitt.edu
Who Sees Who?
In the comedy Home Alone, a burglar posing as a police officer walks door to door during the holidays to find out which families will be traveling, leaving their empty homes easy prey for a break-in. ...
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Brett Hollenbeck @bretthollenbeck.bsky.social · 11/07/2025
🚨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...
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Philipp Lorenz-Spreen @lorenzspreen.eurosky.social · 19/06/2025
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...
mpib-berlin.mpg.de
Postdoctoral Position | Center for Adaptive Rationality
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Johan Ugander @jugander.bsky.social · 16/06/2025
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...
nature.com
Cognitive representations of social networks in isolated villages - Nature Human Behaviour
Feltham et al. develop a sampling strategy to evaluate social network cognition across 82 Honduran villages, systematically mapping the underlying village networks.
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Nicholas A. Christakis @nachristakis.bsky.social · 16/06/2025
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/
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Amin Rahimian @rahimian.bsky.social · 06/06/2025
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
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Amin Rahimian @rahimian.bsky.social · 06/06/2025
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
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CoCoMARL-2025 @cocomarl-workshop.bsky.social · 28/05/2025
🥥🥥 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...
sites.google.com
CoCoMARL 2025
Call for Papers
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Reposted by Amin Rahimian
Differential Privacy Papers @dppapers.bsky.social · 30/04/2025
Conformal-DP: Differential Privacy on Riemannian Manifolds via Conformal Transformation Peilin He, Liou Tang, M. Amin Rahimian, James Joshi arxiv.org/abs/2504.20941
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

Differential Privacy (DP) has been established as a safeguard for private
data sharing by adding perturbations to information release. Prior research on
DP has extended beyond data in the flat Euclidean space and addressed data on
curved manifolds, e.g., diffusion tensor MRI, social networks, or organ shape
analysis, by adding perturbations along geodesic distances. However, existing
manifold-aware DP methods rely on the assumption that samples are uniformly
distributed across the manifold. In reality, data densities vary, leading to a
biased noise imbalance across manifold regions, weakening the privacy-utility
trade-offs. To address this gap, we propose a novel mechanism: Conformal-DP,
utilizing conformal transformations on the Riemannian manifold to equalize
local sample density and to redefine geodesic distances accordingly while
preserving the intrinsic geometry of the manifold. Our theoretical analysis
yields two main results. First, we prove that the conformal factor computed
from local kernel-density estimates is explicitly data-density-aware; Second,
under the conformal metric, the mechanism satisfies $ \varepsilon
$-differential privacy on any complete Riemannian manifold and admits a
closed-form upper bound on the expected geodesic error that depends only on the
maximal density ratio, not on global curvatureof the manifold. Our experimental
results validate that the mechanism achieves high utility while providing the $
\varepsilon $-DP guarantee for both homogeneous and especially heterogeneous
manifold data.
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Amin Rahimian @rahimian.bsky.social · 02/05/2025
tempting
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Thomas Steinke @stein.ke · 26/04/2025
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.
LaTeX source: https://pastebin.com/m9RwBcCi
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Andrey Fradkin @andreyfradkin.bsky.social · 22/04/2025
🚨 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...
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Reza Yousefi Nooraie @rynooraie.bsky.social · 11/04/2025
We are hiring a postdoc! If you are interested in #impsci , social network interventions, and action research, please drop a message. Please share!
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Amin Rahimian @rahimian.bsky.social · 22/04/2025
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/
conference.eaamo.org
Call for Participation
The fifth ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ‘25) will occur November 5–7, 2025 in University of Pittsburgh, Pittsburgh, PA, USA.
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Rasmus Pagh @rasmuspagh.net · 03/04/2025
FORC 2025 accepted papers, lots of interesting stuff! responsiblecomputing.org/forc-2025-ac...
responsiblecomputing.org
FORC 2025: Accepted Papers
Hardness and Approximation Algorithms for Balanced Districting ProblemsPrathamesh Dharangutte, Jie Gao, Shang-En Huang and Fang-Yi Yu Privacy-Computation Trade-Offs in Private Repetition and Metase…
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Yuxin Liu @yuxin-pitt.bsky.social · 13/04/2025
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.
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Dean Eckles @eckles.bsky.social · 02/04/2025
Now forthcoming here :) doi.org/10.1093/biom...
doi.org
Noise-Induced Randomization in Regression Discontinuity Designs
Abstract. Regression discontinuity designs assess causal effects in settings where treatment is determined by whether an observed running variable crosses
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