Host of Words to Win By, a podcast about progressive wins around the world and how we achieved them. https://wordstowinby-pod.com/
Researcher, message maker, campaign strategist to progressive and Democratic causes here and abroad.
Associate Professor of Public Policy | American Politics | Harvard Kennedy School
Professor at MIT, Director of Center for Sustainability Science & Strategy (CS3). #climate #airpollution #mercury #science-policy #sustainability
Harvard professor, realist, FP columnist. Tennis enthusiast, amateur musician, proud dad, & grateful husband. Troubled by the state of the world & looking for solutions. For speaking engagements contact John Bute at john@chartwellspeakers.com
A professional association and community for technologists that serve the public good.
https://www.publicgood.tech/
Political scientist & part-time farmer. Books: 'On Revolutions' (2022), 'Civil Resistance' (2021), & 'The Politics of Terror' (2019). Coming soon: 'Bread & Roses' & 'The End of People Power.' https://www.ericachenoweth.com. What a time to be alive.
Policy Professor, Ford School, University of Michigan.
Irish immigrant. Administrative burdens guy.
Free newsletter, Can We Still Govern?: https://donmoynihan.substack.com
Social Scientist, Harvard University
https://www.ryandenos.com/
https://ryandenos.substack.com/
Sociology Professor at Stanford
Knowing things is a solved problem. Getting along is not. Working on AI, media, and inter-group conflict @CHAI_Berkeley. Got here from computational journalism.
Economist: Labo(u)r, Macro, Inequality || Ass't Prof @MITSloan @MIT_IWER || Nonres fellow @piie
senior principal researcher at msr nyc, adjunct professor at columbia
Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
William H. Neukom Professor, Stanford Law School. Partner, Lex Lumina LLP. I teach and write in IP, antitrust, internet, and video game law
Climate, water, birds, bluegrass mandolin. Member US National Academy of Sciences, MacArthur Fellow, Carl Sagan Prize, author of The Three Ages of Water (2023). Also on Mastodon. @petergleick@fediscience.org. Email me at pgleick (at) gmail.
Assistant prof @ Yale Economics
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, π πΆ
Faculty @UChicago @HarrisPolicy | Director @MiiELab | Education, children, joy | she/they | #checkyourself | Grateful | on threads: @anjaliadukia
http://anjaliadukia.com
Assistant Professor @ UChicago CS/DSI (NLP & HCI) | Writing with AI βοΈ
https://minalee-research.github.io/
Associate Professor, UC Berkeley. Social networks, labor markets, organizations, inequality, health and health care.
Associate Professor of Science and Technology Communication, Computational Social Science at University of Wisconsin-Madison | Stanford/
Columbia / Fudan University alumni | Pianist
www.kaipingchen.com
Institute Professor, MIT Economics. Co-Director of @mitshapingwork.bsky.social. Author of Why Nations Fail, The Narrow Corridor, and Power & Progress.
Behavioral Economist, sports fan
My market design blog: https://marketdesigner.blogspot.com/ Forthcoming in May: Moral Economics https://www.amazon.com/Moral-Economics-Prostitution-Controversial-Transactions/dp/1541702018
Professor of Sociology, Psychology, & Org Behavior, Stanford University
Director, Polarization and Social Change Lab, @pascl-stanford.bsky.social
Co-Director, Stanford Center on Philanthropy and Civil Society
Automatically tweets new posts from http://statmodeling.stat.columbia.edu
Please respond in the comment section of the blog.
Old posts spool at https://twitter.com/StatRetro
NO KINGS. NO FASCISTS. FUND SCIENCE.
Professor of Computer Science @ BioFrontiers Institute at University of Colorado, Boulder and External Faculty @ Santa Fe Institute
orcid: https://orcid.org/0000-0002-3529-8746
Economist researching online marketplaces. Mind and Hand. π²π¦- appreciator
Pragmatic methodologist and behavioral scientist at Esade business school. Barcelona
website: https://urisohn.com
Blog: https://DataColada.org
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
Author: Recoding America, Founder: Code for America, Co-founder: USDS and USDR.
Economist, public policy wonk, professor at UC Berkeley, faculty director of California Policy Lab & Center for Studies in Higher Education
Professor at Fordham Law. Prisons and criminal justice quant. I'm not contrarian, the data are. Author of Locked In. New stuff at johnfpfaff.com.
Prof at ETH: Law + economics + data science
assistant professor of sociology at Columbia β’ researching inequality, education, race/ethnicity, & social policy β’ 26.2 x2, 13.1 x14 β’ 1913 | Ξ β’ she/her β’ views mine
marissaethompson.com
using computational methods to understand the linguistic mechanisms of social problems | NLP, socioling, discourse-pragmatics | asst prof at UC Davis Linguistics
https://robvoigt.faculty.ucdavis.edu/
Social psychologist in org studies, @UMich. I study racial inequality where institutions and individuals meet. Dad to Julian (2 legs) and Eddie (4 legs).
Prof at Cornell studying how human-AI dialogues can correct inaccurate beliefs, why people share falsehoods, and ways to reduce political polarization and promote cooperation. Computational social science + cognitive psychology.
https://www.DaveRand.org/
Professor, Harvard Kennedy School | Speaking in a personal capacity | https://msen.scholars.harvard.edu/
Assistant Professor of Management at Georgetown McDonough. Research: conflict/collaboration, judgment and decision making, reputation, and emotion. charlesdorison.com
Sociologist at Stanford and author of PRIVILEGE & PUNISHMENT www.matthewclair.org
Associate Professor, School of Information, UC Berkeley. NLP, computational social science, digital humanities.
Professor at Wharton, studying AI and its implications for education, entrepreneurship, and work. Author of Co-Intelligence.
Book: https://a.co/d/bC2kSj1
Substack: https://www.oneusefulthing.org/
Web: https://mgmt.wharton.upenn.edu/profile/emollick
Assistant Professor the Polaris Lab @ Princeton (https://www.polarislab.org/); Researching: RL, Strategic Decision-Making+Exploration; AI+Law
Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity
drsherrirose.org
Lab manual: stanfordhpds.github.io/lab_manual
Personal account
Assistant professor in the University of Michigan School of Information. https://www.benzevgreen.com
CS prof at Haverford, Chair @acm.org U.S. tech policy, @brookings.edu nonres Senior Fellow, former White House OSTP tech policy, co-author AI Bill of Rights, research on AI and society, @facct.bsky.social co-founder
formerly @kdphd π¦
sorelle.friedler.net
Assistant professor of political science at Stanford | Cornell PhD | https://www.modallen.com
Chief Scientific Officer of Microsoft.
R, data, π, πΈ, π. He/him.
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
UW Computer Science Professor. Data, visualization & interaction. UW Interactive Data Lab, Vega, Ex-Trifacta. Sometimes Seattle, manchmal Berlin.
Visualization toolmaker. Founder of Observable. Creator of D3. Former NYT Graphics. Pronounced BOSS-tock.
Researcher, Microsoft Research; Faculty, Information Science, Cornell University
Professor, Yale Law School.
Data/investigative journalism @Stanford, Founder @biglocalnews, sharing data & tools, building an infrastructure of support for local news.
Professor of Economics, University of Gothenburg; Yale PhD; labor economics, economics of crime and criminal justice; πΊπΈπΈπͺ
https://sites.google.com/site/randihjalmarsson/
Applied microeconomist at University of Chicago Harris School of Public Policy
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Assoc. Prof. of CS at the Hebrew University.
Algorithmic Game Theory.
Economics and Computation.
https://sites.google.com/view/babaioff/about-me
PhD candidate Harvard Decision Science βοΈ π₯ | T32 Predoc Comparative Effectiveness Research for Suicide Prevention | Causal Inference π, Reinforcement Learning π§ , Modeling π», Teaching π¨π»βπ«, Reproducibility π³
Jacobjameson.com
π³οΈβππ¨βπ¨βπ§βπ¦ interested in causal inference, experimentation, optimization, RL, statML, econML, fairness
Cornell & Netflix
www.nathankallus.com
Assistant Professor of Law @law.ucla.edu
Faculty Director of Prisonersβ Rights Clinic
Deputy Director of Behind Bars Data Project
Scholarship at ssrn.com/author=1925841
PhD candidate in sociology & social policy at Harvard, working on punishment, discrimination, predictive algorithms & quantification.
Annie & Ned Lamont Professor of International Studies, Thomas J. Davis, Jr. Faculty Scholar @ SIEPR, Professor of Economics @ Stanford
www.healthinequalitylab.org
Professor of Communication @Stanford
Professor of Economics at Stanford GSB
Associate Professor at UMSI, UMICHCS, and UMICHCSE working on Computational Social Science, Network Science, Science of Science, Complex Systems, and Social Media. π¨π΄πΊπΈ dromero.org
Public Policy PhD Student @Harvard π | @Stanford CS Alum π©π»βπ» | Plant Hobbyist π± | Interested in using data science to design policy and drive reform
tax/law/econ/lake michigan
Econometrics professor and author. Dogs = 2, cats >= 10.
Law professor @UChicago. Criminal law and policing, mostly
economist & legal scholar studying criminal justice issues.
professor of law
professor of economics (by courtesy)
UVA
https://sites.google.com/view/megan-stevenson/home
Expert provider of lay opinions, and also of Duo push approvals.
Day job: Herman F. Selvin Professor of Law at UC Berkeley Law. Opinions my own, not intended to represent UC's.
Prof. @StanfordLaw. Contracts, NLP, Algorithmic Fairness, Quantitative Methods. Not here to post, only to lurk.
Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab
Computational Social Science & NLP
Director, Max Planck Center for Humans & Machines http://chm.mpib-berlin.mpg.de | Former prof. @MIT | Creator of http://moralmachine.net | Art: http://instagram.com/iyad.rahwan Web: rahwan.me
assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
Assistant Professor of Sociology at NYU. Classification, prediction, and AI in decision-making, social policy, and law.
www.simonezhang.com
Law/tech, surveillance, work, truckers. Faculty Cornell Information Science, Cornell Law / Fellow @NewAmerica / Data Driven: http://tinyurl.com/57v559mv / www.karen-levy.net
Assistant Prof at Columbia || Studying data science and its interactions with human behavior || Applications in education, healthcare, and online platforms.
https://hannahql.github.io/
Prof @Wharton @Penn; machine learning for health & social good; foodie, gamer, homebody
Faculty @ Harvard Econ + Harvard Computer Science, past: MSR HebrewU, classical (opera) singer, father of two (+a pug) | tweets my own, repostβ endorse
https://yannai.gonch.name/
Alexander von Humboldt Professor for AI and Chair for Societal Computing at Saarland University. Co-Director at https://i2sc.net.
Associate Research Professor at Georgetown Better Gov Lab & Massive Data Institute: 1) Evidence-based implementation for safety net programs 2) Open source tools for data sharing in public services. Founded and led Data Science team at Code for America.
Statistician at Harvard. Probability and paradoxes. Statistics and data science. Books and chess.
Algorithms, predictions, privacy.
https://theory.stanford.edu/~sergei/
