Michael Griffiths
@alt18f.bsky.social
Delivered effective, efficient, and secure digital services for the American people until we were forced to stop on March 1. Not an official government account. Reposts are not endorsements. Our new website: https://18f.org/ #AltGov
@p-hunermund.com
Professor of Technology and Economic Policy | Co-founder of causalscience.org | Associate Editor at Journal of Causal Inference | Executive Team at Academy of Management TIM Division
@dingdingpeng.the100.ci
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
@beyerslouw.bsky.social
Assistant Professor | RSM Erasmus University 🇳🇱 #causality #decisionmaking #uncertainty #bayesianlogic
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@paulgp.com
Yale SOM professor & Bulls fan. I study consumer finance, and econometrics is a big part of my research identity. He/him/his
@emilyriederer.bsky.social
Here for data, data science, analytics engineering, rstats, books
@dlmillimet.bsky.social
Robert H. & Nancy Dedman Trustee Prof of Econ at @SMU, husband, son, proud papa, baseball junkie, animal enthusiast, proudly woke. http://people.smu.edu/dmillimet/ https://dlm-econometrics.blogspot.com/
@nickchk.com
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
@cdsamii.bsky.social
NYU Politics prof. Methods to inform policy. Governance, conflict, institutions. cyrussamii.com
@sherrirose.bsky.social
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
@apoorvalal.com
causal inference, econometrics, ML, arsenal, loud music, unix, FOSS for scientific computing. apoorvalal.github.io (passively) maintains @paperposterbot.bsky.social
@conjugateprior.org
Señor Research Scientist, an NPC at the Hertie School in Berlin 🇩🇪 via Princeton, Mannheim, Edinburgh and a bunch of other ivory towers that will probably be billiard balls and decorative boxes by the end of the decade.
@malte.the100.ci
Professor at Uni Bern Meta Science ⸾ Research Methods ⸾ IT Security & Privacy ⸾ Problem Solving ⸾ Media Effects. https://the100.ci & @error.reviews
@ruben.the100.ci
Bayescurious evidence enthusiast at the100.ci Topics: evolution, ovulation, mutation, intelligence, personality, sexuality, R, open science & source tools. https://rubenarslan.github.io/
@vitorpossebom.bsky.social
Assistant Professor at Sao Paulo Schools of Economics (FGV). Ph.D. 2022 at Yale. Passionate about Econometrics, especially Causal Inference. (He/his) https://sites.google.com/site/vitorapossebom/
@michelnivard.bsky.social
Professor of Genetic Epidemiology, University of Bristol at: uob-ieu@bsky.social
@causalhuber.bsky.social
Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
@causalab.bsky.social
Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab
@jermainkaminski.bsky.social
Assistant Professor in Entrepreneurship & Innovation 🇳🇱 Maastricht University. Writing about entrepreneurs and (causal) machine learning. UWH, RWTH, MIT. Co-Founder http://causalscience.org, Team @AOM_TIM.
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@giovannimellace.bsky.social
Professor at the University of Southern Denmark and chairperson of the Econometrics and Data Science research platform. I work on Causal Inference.
@stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
@malcolmbarrett.malco.io
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
@jeremylabrecque.bsky.social
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk. jeremylabrecque.org
@fusaroli.bsky.social
Cognitive Science at Aarhus Uni. Curious about social interactions, symbolic behaviors, and meta-science. Focus on stats, computational modeling, machine learning, complex systems, language, exp semiotics and neuropsychiatric conditions. He/They.
@djvanness.bsky.social
Economist; professor; health evaluation and decision science. Advocate for high quality, affordable higher education as a public good. Personal views. #AcademicSky #EconSky #Bayesian https://orcid.org/0000-0002-9790-2988
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@mp-grosz.bsky.social
Professor of Psychological Assessment at HMU Health & Medical University Potsdam (Germany). Research interests: personality, social status & causal inference
@felixthoemmes.bsky.social
@jiafengkevinchen.bsky.social
postdoc at siepr | assistant professor (‘25) of economics at stanford jiafengkevinchen.github.io
@tobigerstenberg.bsky.social
Tea drinking assistant professor of cognitive psychology at Stanford. https://cicl.stanford.edu
@prashantgarg.bsky.social
Econ PhD @imperial. Visiting researcher at IFC and Cambridge. AI and networks in economics. www.prashantgarg.org
@epidbydesign.bsky.social
Epidemiologist, writer, bon vivant. Professor @UNC (opinions my own); co-PI of STAR Cohort; "Morpheus of the Table 2 Fallacy.” He/him.
@jlrohmann.bsky.social
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform @ Charité in #Berlin Likes: improving science & improv comedy #EpiSky #Epidemiology #HigherEd #AcademicSky
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@melodyyhuang.bsky.social
Currently @ Yale, working on causal inference & cutting down on caffeine. Website: melodyyhuang.com
@astrezh.bsky.social
Assistant Professor, UChicago Political Science. http://www.antonstrezhnev.com
@lstoetze.bsky.social
Professor for Quantitative Methods. Witten/Herdecke University. Interested in comparative political behavior and quantitative methods. https://lukas-stoetzer.org
@amandaweiss.bsky.social
PhD Candidate in Political Science at Yale & Incoming Assistant Professor at Cornell. Methodology, often policy-oriented. www.amandakweiss.com Opinions my own, reposts not (necessarily) endorsements, etc.
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@boryslaw.bsky.social
Intro to causal inference for psychologists: https://czasopisma.uwm.edu.pl/index.php/pp/article/view/9731/7171 A causal-theoretic definition of measurement invariance (see p. 14): + A new ordinal regression family https://osf.io/preprints/psyarxiv/e7a3x
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@ericbschneider.bsky.social
Professor of Economic History at LSE studying health, demography, living standards and economic growth; working on global historical child stunting. Website: www.ericbschneider.com
@jnwulff.bsky.social
Professor @AarhusUni doing research on organizational research methods and teaching deep neural networks in our Msc. BI program. https://sites.google.com/view/jesperwulff/bio