Community & Events
110 conferences • 14 research labs • 62 online communities • 87 meetups
Research Labs
Causal inference for recommender systems. CompCI project, annual CIDER roundtable. Research advisor: Nathan Kallus (Cornell).
Industry standard for uplift modeling and CATE estimation. Meta-learners (S, T, X, R). Key researchers: Huigang Chen, Totte Harinen.
Pricing Labs for A/B testing price changes, switchback experiments, marketplace analytics at scale.
Costis Daskalakis (mechanism design), Parag Pathak (school choice, NBER Market Design), Nikhil Agarwal (empirical market design).
Most widely-adopted causal ML tools. EconML for heterogeneous treatment effects, DoWhy for causal inference. Key researchers: Vasilis Syrgkanis, Amit Sharma.
Synthetic control, long-term causal effects. Published in Nature Machine Intelligence (2023). Led by Ciarán Gilligan-Lee.
World's premier collaborative programs in theoretical CS and economics. Semester programs on Economics and Computation.
Auction design, mechanism design, autobidding systems. Led by Vahab Mirrokni. Shapes Google's advertising marketplace.
Labor market analysis using LinkedIn's professional network data. Skills taxonomy, workforce trends.
Mechanism design, computational social choice, AI for markets. David Parkes, Milind Tambe, Yiling Chen. GemNet won EC'24 Exemplary Paper.
Experimentation at scale, network effects, peer effects, advertising analytics. Led by Nicolas Stier-Moses (VP).
Open-source framework for economic policy simulation using reinforcement learning. Multi-agent economic environments.
Created Generalized Random Forests (grf R package). Susan Athey, Stefan Wager, Guido Imbens (Nobel). The gold standard for causal forests.
Raj Chetty's lab. Opportunity Atlas, Social Capital Atlas, Economic Tracker. Most widely-used public policy big data.
Online Communities
~15,000 members. Gamma exposure, dark pool, options flow. Quantitative trading community.
15M+ users. Competition strategies and ML techniques. Learn from Grandmasters. Public notebooks and solution breakdowns.
~30K subscribers. Econometric methods and software discussions for applied econometricians.
20K+ users. Operations research and optimization. Launched with INFORMS support. High-quality modeling answers.
Slack community (8,000+ members) for analytics leaders. Exchange experiences and advice on building data teams, analytics strategy, and career growth.
~15,000 members. Research operations and process optimization for UX and market researchers.
~17,000 members. R programming, tidyverse, statistical modeling. Active community for R practitioners.
~415,000 members. Python programming with data science channels. 24/7 expert help across 100+ helpers and regular hackathons.
~4,000 members. R programming and statistical computing community.
Premier data mining community. SIGKDD membership ~$25/year with ACM membership. Explorations Newsletter and prestigious KDD Cup competition. KDD Conference is the top venue for data mining research.
Discord server (8,400+ members) for discussing econ grad school paths, life in PhD programs, and academic economics careers.
Growing community for pricing strategy, revenue forecasting, and GTM operations professionals.
Active community supporting women in OR and management science fields.
500K+ users. Premier Q&A site for statistics and ML methodology. Famous statisticians participate. Community blog with high-quality answers often rivaling textbook explanations.
Slack community for data science learners. Weekly book clubs, TidyTuesday projects, and peer support for R, Python, and statistics.
19,000+ members across 22 subject-area sections. Key sections: Business and Economic Statistics, Survey Research Methods, Statistical Computing, Statistical Learning and Data Science. 78 geographic chapters host local events. Membership $195/year regular, $30/year student.
Active community for marketing analytics practitioners. Practical discussions on marketing measurement and analytics tools.
~10,000 members. Quantitative trading and technical analysis discussions.
Discord community (3,500+ members) run by economics professors and practitioners. Discussions on economic research, econometrics, and policy.
Developer-focused community for Bayesian causal inference and probabilistic programming. The Discourse forum (discourse.mc-stan.org) tends to be more active than Slack.
~23,000 members. The undisputed leader for marketing measurement professionals. Channels cover R/statistics, marketing mix modeling, attribution, GA4, Adobe Analytics, Tableau, and Looker. Senior practitioners actively engage.
Active community for user behavior analysis, funnels, and retention analytics. Product analytics practitioners.
Active community for product analytics and session replays. Discussions on behavioral analytics and product insights.
Large community for practical ML and accessible deep learning. Community around the famous fast.ai courses.
Growing MLOps community by Chip Huyen. Discussions on production ML and ML systems.
~1,500 members. Algo trading strategies and backtesting discussions.
Active community for algorithmic trading platform users. Quantitative trading and strategy development.
~400K subscribers. Methodological debates, Bayesian vs frequentist discussions. Active statistics community.
~1.4M subscribers. High-quality moderated economics Q&A. Answers must be comprehensive and well-sourced, valuable for policy questions.
5K+ users. PyMC and Bayesian statistics. Core developers active. Good for frequentist-to-Bayesian transition.
American Economic Association's moderated discussion forum launched in 2018. 20,000-23,000 members. Non-members can register for approval. JOE Network essential for economics job market information.
~107K members. Research-focused and moderated LinkedIn group. One of the few LinkedIn groups maintaining genuine technical discussions.
~53K members. Market research best practices and consumer insights discussions.
~60,000 members. Product management and data-driven decisions. One of the largest product communities.
~9,000 members. RevOps, pricing operations, business systems. Community for operations professionals.
~5,700 members. Statistical methodology discussions for statisticians and data scientists.
~1.5M subscribers. Industry discussions, career advice, tooling. Active weekly career threads useful for understanding market dynamics.
~3M subscribers. Research papers and cutting-edge algorithms. Premier subreddit for ML research discussion.
~15K subscribers. Optimization and mathematical modeling discussions for OR practitioners.
10K+ users. Bayesian modeling, HMC/MCMC. Stan developers respond directly. Excellent for hierarchical models and diagnostics.
Millions of users. Tech industry and ML research discussions. Monthly 'Who's Hiring' threads. Paper discussions.
~133K members. Quantitative professionals discussing advanced analytics and statistical modeling.
~250K subscribers. Data infrastructure and pipelines. Community for data engineers.
Large Slack community (74,000+ members) for data scientists, ML engineers, and analysts. Free courses, weekly events, and active discussions on ML and data engineering.
Slack community (66,000+ members) for analytics engineers. Discussions on data transformation, SQL best practices, and modern data stack. Global meetup groups.
~28,000 members. ML operations, experimentation at scale, A/B testing infrastructure. Covers experiment tracking, feature stores, and statistical methods for online experiments.
~5,700 members. A/B testing, feature flagging, experiment design. Developer-focused community for experimentation practitioners.
~35,000 members. B2B marketing, revenue operations, GTM analytics. Large community for revenue-focused professionals.
~17,000 members. Growth experiments, marketing science. Community for growth practitioners focused on experimentation.
~40,000 members. Python, statsmodels, pandas, scientific computing. Large Python community for data science.
~17,000 members. Data visualization and storytelling with data. Community for data viz practitioners.
~9,000 members. Data reliability and data quality engineering. Community focused on data quality practices.
~3,000 members. Senior practitioners and industry applications. Professional community for experienced data scientists.
~200,000 members. Open-source ML, NLP, transformers. Community events, reading clubs, and direct access to developers working on transformers and open-source ML.
~30,000 members. General data science, ML, and visualization discussions.
~500 online. Towards Data Science community for career discussions and data science content.
~3,600 members. Julia for scientific computing. Community for Julia language users.
~150K subscribers. Applied analytics, KPIs, stakeholder management for analytics practitioners.
~90K subscribers. R programming for statistical computing. Active community for R users.
Operations research community with specialized groups: Revenue Management & Pricing Section, Decision Analysis Section, Analytics Section, Junior Faculty Interest Group. Membership ~$170/year. Annual Meeting and Analytics Conference are premier networking events.
30,000+ members. In 2024, absorbed the Digital Analytics Association (DAA). Data & Analytics Learning Hub, Virtual Conference on Marketing Analytics, 70+ local chapters. DAA's competency frameworks and salary surveys preserved.
330K+ members. DataScienceCentral.com ecosystem. Large community for data science professionals.
Meetups
Quarterly meetups specifically for A/B testing and experimentation practitioners. Statsig-hosted.
17,000 members - largest in the Midwest. Umbrella for 25+ specialized user groups including AppliedAI, Twin Cities Data Visualization, and LEHRN (People Analytics).
4,411 members. Ottawa's ML and AI community with strong government analytics presence due to federal departments.
Part of Data Community DC (dc2.org). Monthly technical talks on ML and AI.
10,000+ members. Monthly meetups on data science and software engineering for data.
American Statistical Association New York chapter. Quarterly events for statistics professionals.
1,877 members. Pittsburgh's primary data science community with CMU connections and strong academic-industry mix.
4,083 members - largest in Texas. Monthly meetups with enterprise focus. Connected to ASA North Texas Chapter.
Free monthly speaker events on Marketing Mix Modeling, data storytelling, and analytics. Ohio State TDAI connections.
15,000+ members. Monthly meetups on R, Python, Julia, and open-source statistics. NYC's premier statistical programming community.
12,821+ members. Hands-on meetups. One of the largest Canadian AI/data groups.
10,000+ members. Monthly meetups hosted at tech companies. Industry ML discussions.
3,046 members. 501(c)(3) nonprofit with monthly meetings and annual Analytics>Forward unconference. Strong ties to SAS, Duke, UNC, NC State.
1,093 members. Charlotte's data science and AI community with connections to UNC Charlotte.
1,489 members. Portland's Python data science community meeting monthly with the Portland R User Group.
Joint regional ASA-SSC chapter serving Montreal's statistics community with academic and industry connections.
Umbrella organization unifying PyData Calgary, Data for Good (10-year anniversary), and DAMA chapter.
Joint SSC-ASA chapter serving Ottawa's statistics community. Strong government and academic connections.
American Statistical Association Boston chapter. Quarterly events with pharma/biostat focus.
Monthly AI demos with participants from Google, Microsoft, Shopify, and Mila. Part of Montreal's world-class AI ecosystem.
1,085+ members. Monthly meetups for analytics engineering and dbt practitioners.
American Statistical Association Bay Area chapter. Quarterly events for statistics professionals.
Regular meetups focused on diversity in data science and open source contributions.
Large community for Python data science. Monthly meetups and annual conference.
Large community for Python data science. Monthly meetups. PyData Boston 2025 Dec 8-10 at Microsoft NERD.
Part of Data Community DC. Statistical methods and methodology discussions.
R for government practitioners. Focus on R programming for public sector data analysis.
Part of Data Community DC. Data visualization and storytelling with data.
17,380+ members. WeCloudData workshops. Largest data science meetup in Canada.
5,000+ members. Monthly meetups on Python, R, Julia. Part of NumFOCUS program.
4,000+ members. Monthly meetups for R programming and statistical computing.
1,783 members. Monthly meetups for senior practitioners. Professional-level discussions.
Monthly meetups for operations research and analytics professionals.
20,000+ members. Deep tech talks on AI/GenAI. Food/drinks at venues. One of the largest in the country—events regularly sell out.
Pacific Northwest operations research chapter. Regular events for OR professionals.
711 members. Media/entertainment focus. Senior practitioners in LA area.
1,500+ members. Monthly happy hours with a strong Slack community extending conversations beyond meetups. Tight-knit community feel.
500+ members. R programming for women in the Denver/Aurora area. Hybrid events.
2,000+ members. Open Data Science Conference Chicago community with in-person events.
5,445+ members. Southeast's largest data science ecosystem. Monthly meetups covering ML, analytics, and data engineering.
3,000+ members. Python for data analysis and scientific computing in Atlanta. Part of the global PyData network.
3,350 members meeting weekly. Active AI and ML community in Atlanta covering practical applications and latest research.
2,359 members. Miami's primary data science community for learning and networking.
1,788 members. Python data science community in South Florida with monthly events.
1,291 members. Part of global R-Ladies network promoting gender diversity in the R community.
1,500+ members with four monthly touchpoints: main meetup (1st Wed), Directors Roundtable (2nd Fri), Breakfast (3rd Tue), Brilliant Women in Data (4th Tue).
USF-sponsored meetup with free monthly events. Covers data analytics and AI with academic and industry speakers.
2,198 members. Central Florida's data science community. Gartner D&A Summit location city.
908 members. Python data science community in Pittsburgh. Part of the global PyData network.
2,728 members. Madison's data community with ties to UW-Madison Data Science Hub. Weekly coding meetups and workshops.
4,618 members. Merged Big Data and AI groups hosting 'Mega Meetups' with 100+ attendees at venues like Cleveland Museum of Natural History.
Kansas City's data science community with monthly 2nd Thursday meetups and University Showcase events.
2,197 members. Indianapolis Python community with IT Social networking events and data science content.
315 members. R programming community in Detroit for statistical computing and data science.
St. Louis big data community with SQL Saturday events. CIC venue for analytics meetups.
3,108 members. Major energy analytics hub meeting at the Ion Prototyping Lab. Focus on energy sector data science.
2,918 members. Another major Houston energy data science community meeting at the Ion Prototyping Lab.
5,000+ members. Active AI community with ties to UCSD's Halıcıoğlu Data Science Institute.
1,811 members. Active since 2009. Long-standing data science community in San Diego.
3,855 members. Salt Lake City's data community in the 'Silicon Slopes' corridor. Connected to Big Mountain Data & Dev Conference.
3,017 members. Data engineering focused community in Utah's tech corridor.
1,500+ members. Phoenix data community. City hosted INFORMS 2023 annual meeting.
5,272+ Instagram followers. Weekly workshops, hackathons, and the CxC Data Hackathon. Vector Institute connections.
7,074 members. Vancouver's largest data science community with monthly career events.
Vancouver analytics community with monthly career events and professional networking.
No conferences scheduled for this month.
Showing 172 locations with coordinates. Events with "Various" or "Online" locations are not shown on map.
Conferences
Best for: Academic transportation economists and advanced PhD students
International Transportation Economics Association annual conference. Academic focus on transportation economics research including pricing, mode choice, environmental policy, and network modeling.
Best for: Causal ML researchers and econometricians
Dedicated venue for causal inference attracting both ML and economics researchers. Covers causal discovery, causal representation learning, and applications to decision-making.
Best for: Digital experimentation practitioners and researchers
Conference on Digital Experimentation at MIT. Focused on experimentation, A/B testing, and causal inference in digital platforms. Strong presence from tech industry data scientists and academic researchers.
Best for: Academic market design and IO researchers
Stanford Institute for Theoretical Economics summer sessions. Includes Empirical Market Design, Market Failures, and IO tracks relevant to applied researchers. Invitation-only sessions featuring top economists.
Best for: E-commerce and retail innovators
Leading retail and e-commerce innovation conference with 10,000+ attendees. Unique matchmaking facilitates 40,000+ one-on-one meetings. Strong analytics and personalization content.
Best for: Health economics researchers
Premier US health economics research conference across 180+ sessions. Features theoretical and empirical research on healthcare costs, insurance, pharmaceuticals, and policy with applied analytics including claims data analysis.
Best for: Health informaticians, clinical data scientists, healthcare AI researchers
World's premier biomedical and health informatics meeting with 2,000+ attendees. 2025 theme: 'Informatics in the Age of Generative AI'. Covers clinical informatics, data science, and AI.
Best for: Energy economists, PhD students, industry researchers
Largest gathering of U.S. energy economists with student paper competitions, networking, and presentations on electricity, oil/gas, and environmental economics.
Best for: Transportation researchers, planners, and engineers across all modes
Transportation Research Board Annual Meeting. The largest transportation research conference globally with 13,000+ attendees, 5,000+ presentations, and sessions covering all transportation modes and disciplines.
Best for: Intensive causal methods training
Intensive 9-day training featuring Donald Rubin (Harvard), Jens Hainmueller (Stanford), and Christian Hansen (Chicago Booth). Covers difference-in-differences, ML for causal inference, regression discontinuity, and instrumental variables.
Best for: Labor economists
Primary academic labor economics conference. The 2025 edition is the 6th World Labor Conference held jointly with European and Asian associations, providing global labor economics perspectives.
Best for: MMM and attribution practitioners
The only event focused exclusively on attribution, marketing mix models, and performance measurement. Covers MMM methodology, multi-touch attribution, causal analysis at scale, and incrementality measurement.
Best for: Marketing analytics practitioners
Vendor-neutral practitioner conference covering marketing analytics strategy, measurement frameworks, and data-driven marketing decisions.
Best for: Recommendation systems economics
Conference on Recommender Systems with economics-relevant content through its industrial track and fairness/bias sessions. RecSys 2026 comes to Minneapolis, making it accessible for US-based tech economists.
Best for: Quantitative finance practitioners
Focused venue for applied finance using R and Python. Single-track conference covering econometrics, risk tools, portfolio management, and market microstructure. Formerly R/Finance.
Best for: Real estate and urban economists
Premier academic real estate conferences including ASSA session (January), National Conference (May), and International Conference (July). Growing tech/proptech tracks cover climate risk, appraisal bias, and real estate technology.
Best for: Retail and CPG analytics practitioners
Retail and CPG analytics conference covering customer analytics, pricing optimization, and data-driven retail strategies. Strong industry practitioner focus.
Best for: European JDM researchers
European Association for Decision Making / Subjective Probability, Utility, and Decision Making. European counterpart to SJDM covering judgment and decision making research.
Best for: AI ethics researchers and policymakers
Conference on AI ethics, policy, and societal impacts. Sold out in-person attendance reflects strong demand. Covers ethical frameworks, policy implications, and social effects of AI.
Best for: Football/soccer analysts and coaches
Premier soccer/football analytics event with 400+ delegates. Covers performance analysis, tactical insights, and data-driven coaching in football.
Best for: Marketing analytics and attribution specialists
Flagship audience measurement conference with peer-reviewed research on cross-platform measurement, attention metrics, and AI in advertising. Premier venue for advertising researchers.
Best for: Supply chain executives and logistics analysts
Largest global supply chain and logistics tech event with 6,000+ attendees, 1,200+ startups, and 300+ speakers. Covers supply chain analytics, optimization, and logistics technology.
Best for: Grocery and CPG executives
Leading grocery and CPG innovation event with 5,000+ attendees. Covers category management, pricing optimization, and consumer analytics in grocery retail.
Best for: Applied data science and ML researchers
Premier data mining conference with significant A/B testing and experimentation content. Papers from Netflix, Amazon, and Uber on variance reduction, experimentation at scale, and causal inference. Applied Data Science Track covers business applications.
Best for: Baseball analysts and sabermetricians
Society for American Baseball Research analytics conference. Focuses on baseball sabermetrics with the Diamond Dollars Case Competition. Essential for baseball analytics professionals.
Best for: Game economists and monetization analysts
Game Developers Conference with 30,000 attendees. Strong content on game economics, virtual economy design, monetization analytics, and player behavior analysis.
Best for: Statisticians across all sectors
Largest gathering of statisticians in North America including business/industry tracks alongside academic research. Covers applied statistics across all domains.
Best for: Applied data scientists
Bridges data science, computer science, and statistics with practitioner-oriented content. Covers modern statistical methods and their applications in industry.
Best for: Business analytics and decision science practitioners
Annual conference covering business analytics, AI in decisions, and quantitative decision making. Strong industry-academic mix with focus on practical applications.
Best for: Esports executives and analysts
Flagship B2B conference for esports executives covering monetization strategies, digital fan engagement, and esports business models.
Premier venue for research at the intersection of economics and computation. Covers market design, mechanism design, and algorithmic game theory.
Annual NBER conference on the economics of artificial intelligence. Leading researchers present on AI's impact on labor, productivity, and economic growth.
Yale-hosted summer school on machine learning applications for asset pricing and financial econometrics.
Best for: Causal inference methodology researchers
The oldest and largest causal inference gathering, running since 2004. Brings together researchers from medicine, economics, and social sciences. Features the ACIC Data Challenge for methodological innovation.
Chicago Booth summer institute bringing leading ML for economics researchers together with advanced graduate students.
Best for: Health economists, HTA professionals, pharmaceutical industry researchers
Global health economics and outcomes research conference. Focus on cost-effectiveness, HTA, real-world evidence, and drug pricing. Strong industry and regulatory presence.
Best for: Electricity market researchers and PhD students
Annual one-day conference at UC Berkeley featuring leading electricity economics researchers including Borenstein, Wolak, Allcott, and Fowlie. Focused on power sector research.
Best for: Academic economists across all fields
Allied Social Science Associations annual meeting. The largest gathering of economists with sessions on applied analytics, market design, and causal inference. Features AEA, Econometric Society, and 60+ allied associations.
Best for: Market design and algorithmic game theory researchers
ACM Conference on Economics and Computation. Premier venue for market design, mechanism design, and algorithmic game theory research. Essential for tech economists working on auctions, pricing, and platform economics.
Best for: Causal inference practitioners in industry
Annual conference bringing together researchers and practitioners in causal inference and machine learning. Endorsed by Nobel laureate Guido Imbens. Strong industry presence from major tech companies.
Best for: Researchers in computer systems performance, queueing theory, and measurement
Premier conference on measurement and modeling of computer systems. Regular sessions on queueing theory, load balancing, and performance analysis. Won SIGOPS Hall of Fame for foundational systems papers.
Best for: Simulation practitioners, researchers, and educators across industries
The premier international forum for disseminating advances in simulation methodology and applications. Covers discrete-event simulation, agent-based modeling, and operations research.
Best for: Industrial organization economists
International Industrial Organization Conference. Research on antitrust policy, regulatory policy, competition, algorithmic pricing, and market power. Key venue for IO economists in tech.
Best for: Academic econometricians
The focal point of the Econometric Society's meetings where researchers from all regions convene. Covers all aspects of economics including causal inference and econometrics. Premier academic gathering for econometricians.
Best for: Competition economists and antitrust practitioners
Hosted at NYU Stern. Leading competition authorities discuss digital markets enforcement, algorithmic collusion, and antitrust in the AI economy. Essential for tech economists in competition policy.
Best for: Analytics practitioners and OR professionals
Premier analytics conference bringing together professionals in operations research, analytics, and data science. Features practical applications, networking, and the Franz Edelman Award for analytics achievement.
Best for: Platform strategists and policymakers
Summit on platform dynamics, digital markets, and antitrust. Covers AI's effects on innovation, labor, and policy implications for tech platforms. Features mix of academics, industry leaders, and policymakers.
Best for: ML and economics researchers
Hosted by Chicago Booth's Center for Applied AI. Brings together researchers working at the intersection of machine learning and economics. Focus on causal ML, econometric methods, and policy applications.
Best for: Tech company economists and causal inference practitioners
NABE's conference for applied researchers. Covers causal inference, AI, and experiments in action. Practitioners from major tech companies like Amazon, Microsoft, and Meta share insights on production ML and experimentation.
Best for: Web and e-commerce researchers
Premier conference on understanding the Web through computer science, economics, and policy. Features dedicated economics and e-commerce research tracks. Strong presence from tech industry researchers.
Conference on Web and Internet Economics. Focuses on game theory, mechanism design, and economic aspects of internet and web systems.
Best for: Senior experimentation practitioners
Practitioner-focused 3-day retreat for mid-to-senior growth, product, and experimentation professionals. Unconference-style sessions on experimentation culture and decision science.
Best for: Quantitative marketing researchers
Premier academic marketing venue with 12+ parallel tracks over 2.5 days. Topics span choice models, game theory, structural econometric models, randomized control trials, pricing, advertising effectiveness, and causal inference.
Best for: Brand-side marketing analytics
Three days covering AI advancements, retail media networks, outcome measurement, MMM, attribution, and incrementality for brand-side marketers.
Best for: Service and platform operations researchers
Manufacturing and Service Operations Management conference covering service operations, platform operations, sharing economy research, and the operations-finance interface.
Best for: Platform economics researchers
Academically-focused platform economics event covering two-sided markets, personalized recommendations, marketplace design, algorithmic pricing, and content moderation economics. Program committee from Stanford, MIT, Harvard, Chicago, and Wharton.
Best for: Product-led growth practitioners
Multiple US/Canada touchpoints covering product metrics, LTV, CAC, retention, and freemium economics for product-led growth practitioners.
Best for: Fintech and crypto researchers
Georgia State University conference partnering with Management Science journal, featuring dual submission options. Topics include AI in finance, big data in financial economics, DeFi, and cryptoeconomics.
Best for: Behavioral economists and judgment/decision researchers
Society for Judgment and Decision Making annual meeting. Covers experimental studies, utility theory, and applications to medicine, law, and consumer behavior. Foundational behavioral economics venue.
Best for: AI governance and privacy professionals
Premier AI governance conference with 1,000+ privacy and AI governance professionals. Covers EU AI Act implementation, practical governance frameworks, and AI compliance strategies.
Best for: Responsible AI researchers and practitioners
Flagship venue for algorithmic fairness, accountability, and transparency research. Covers bias in ML, algorithmic auditing, and responsible AI. Strong mix of CS, law, and social science.
Best for: Quantitative UX researchers in tech companies
The only conference specifically for quantitative UX research. Covers choice modeling, segmentation, logs analysis, A/B testing, and UX metrics. Essential for quant UX researchers in tech.
Best for: HCI researchers and behavioral scientists
Premier HCI conference with 5,000+ attendees. Increasingly features behavioral economics in HCI, platform labor, and algorithmic decision-making research. Essential for human-computer interaction.
Best for: Forecasters and demand planners
Premier forecasting conference covering demand forecasting, economic prediction, and ML methods. IIF's flagship event attracting forecasters from academia and industry.
Best for: Forecasters and prediction market enthusiasts
Festival for forecasting, prediction markets, and AI. Brings together forecasters, prediction market enthusiasts, and AI researchers in an unconference format.
Best for: Transportation researchers and OR professionals
INFORMS Transportation Science and Logistics workshop focusing on ML and OR for transportation optimization. Academic-focused with strong methods content.
Best for: P&C actuaries and pricing analysts
Casualty Actuarial Society Ratemaking, Product, and Modeling seminar. Premier P&C actuarial conference for pricing and predictive analytics with iCAS Data Science Forum workshops.
Best for: Retail executives and analytics leaders
Industry's largest retail event with 40,000+ attendees. Covers retail AI, dynamic pricing, demand forecasting, and consumer analytics.
Best for: SaaS executives and growth analysts
Largest non-vendor SaaS conference with 10,000-13,000 attendees. Covers SaaS metrics, unit economics, churn analysis, and AI applications in SaaS businesses.
Best for: Algorithmic game theorists and economists
Conference on algorithmic game theory, revenue management, and learning in markets. Strong overlap between CS theory and economics.
Best for: Multi-agent systems researchers
Premier venue for multi-agent systems with Game Theory & Mechanism Design track. Covers agent-based markets, auctions, and strategic behavior.
Best for: European causal inference researchers
Forum for researchers interested in causal inference to meet informally. Covers health, economic, and social sciences applications. European counterpart to ACIC with strong biostatistics presence.
Best for: Tech company experimentation leaders
Annual academic-industry bridge featuring speakers from Spotify, Google, Airbnb, Meta, Netflix, Uber, LinkedIn, and OpenAI. Topics include personalization, interference in experiments, platform design, and causal measurement at scale.
Best for: Customer analytics practitioners and researchers
Bridges academic rigor with practical business applications through the Wharton Customer Analytics Initiative. Features real-world customer analytics case studies alongside cutting-edge academic research on CLV and personalization.
Best for: Operations management researchers
Production and Operations Management Society conference covering healthcare, supply chain, and service operations. Features college mini-conferences and practice leader forums.
Best for: Mechanism design theorists
Biennial academic conference covering auction design, market design, matching, and mechanism design theory—foundational for ad auctions, marketplace mechanisms, and algorithmic market design.
Best for: Pricing practitioners and leaders
Largest pricing events worldwide run by Professional Pricing Society. Focus on dynamic pricing, AI in pricing, and monetization strategies. Includes CPP certification.
Best for: Marketplace trust and safety professionals
Covers trust, safety, compliance, and risk management for marketplace operations. Multiple annual US events provide networking opportunities for marketplace practitioners.
Best for: R and Python data scientists
Enterprise data science content for R and Python users. Covers data science workflows, reproducibility, and modern analytical tooling.
Best for: Business school behavioral researchers
Biennial conference at business schools covering behavioral decision research. Features keynotes from pioneers like Daniel Kahneman. Strong focus on business applications of behavioral economics.
Best for: Prediction market builders and researchers
New conference by Kalshi Research debuting April 2026. Brings together 500+ builders, traders, and policymakers from Harvard, Stanford, Yale, and UChicago to discuss prediction markets.
Best for: Supply chain managers and analysts
Council of Supply Chain Management Professionals conference covering supply chain analytics and resilience. Features 2,000+ decision-makers and practical applications.
Best for: Insurtech executives and data scientists
Largest insurtech event with 10,000+ attendees and 500+ speakers. Covers AI/data analytics, predictive underwriting, and claims automation in insurance.
Best for: CSCW researchers and platform economists
ACM conference on computer-supported cooperative work. Covers gig economy, crowdsourcing economics, and algorithmic management. Strong presence of researchers studying platform labor.
Best for: Operations research and analytics professionals
Largest annual gathering for operations research and analytics professionals. Covers optimization, decision analysis, and data-driven methods. Features extensive tracks on pricing, revenue management, and marketplace design.
Best for: Business economists and forecasters
National Association for Business Economics annual meeting. Brings together researchers from industry, academia, and government to discuss economic policy and forecasting. Strong representation from Fed economists and corporate economists.
Best for: Academic digital economists
NBER session on Digital Economics and AI. Research on digital surveillance, AI labor effects, and human-AI collaboration. Top academic researchers from economics departments worldwide. Invitation-only but papers publicly available.
Best for: Antitrust economists and lawyers
Annual conference on antitrust economics and competition policy. Covers digital acquisitions, buyer/seller power, and exclusive dealing research. Strong mix of academics, practitioners, and antitrust enforcers.
Best for: Competition policy researchers and practitioners
Chicago Booth conference on economic concentration and competition. Covers digital platforms, media markets, and antitrust policy. Mix of academics, policymakers, and industry practitioners.
Best for: Pricing analytics researchers and practitioners
Premier forum for pricing analytics held at top business schools. Topics include dynamic pricing, demand forecasting, optimization algorithms, marketplace design, and algorithmic pricing.
Best for: Business analytics and decision science
Covers decision sciences across business functional areas, including analytics, AI applications, and quantitative methods for business decision-making.
Best for: AI/ML in business research
Bridges AI/ML researchers across computer science, economics, marketing, management, and finance. Hosted at top business schools since 2014, rotating among Columbia, Chicago Booth, Stanford GSB, NYU Stern, and others.
Best for: Health services researchers
Largest health services research forum bringing together researchers, policymakers, and practitioners across 21 thematic tracks covering healthcare delivery, health economics, digital health, and AI in healthcare.
Best for: Fintech policy and research
Convenes academics, industry experts, and regulators on fintech opportunities, featuring Fed speakers including Governors. Covers regulatory implications and fintech innovation.
Best for: HR analytics and people science
Leading HR analytics event now in its 12th year. Features academic research competitions alongside industry speakers from Google and Mastercard on AI and future of work, workforce transformation, and evidence-based HR.
Best for: Applied behavioral scientists in policy
Behavioral Science & Policy Association conference connecting academics, practitioners, and policymakers. Features 8-minute short presentations on policy-relevant behavioral research.
Best for: Computational social scientists and tech researchers
Premier venue for computational methods in social science. Covers text analysis, network analysis, behavioral modeling, and large-scale social data. Strong presence from tech companies and CSS researchers.
Best for: Network scientists and social network researchers
Celebrates its 20th anniversary in Boston 2026. Covers network algorithms, social networks, information spreading, and economic networks. Premier venue for network science research.
Best for: Complex systems and network researchers
Annual conference on graph ML, economic networks, and recommendation systems. Covers network-based approaches to complex systems and computational methods.
Best for: Agent-based modelers and policy researchers
European conference on agent-based modeling and policy simulation. Covers computational models of social systems, emergent behavior, and policy evaluation.
Best for: UX researchers and practitioners
User Experience Professionals Association international conference. Covers UX research methods, usability, and user-centered design with mix of qualitative and quantitative approaches.
Best for: Sports analysts and team executives
The premier sports analytics venue with 2,500+ attendees from 80+ professional teams and 220+ academic institutions. Covers analytics across all major sports with strong business focus.
Best for: Sports statisticians and methods researchers
Emphasizes cutting-edge statistical methods with representatives from 15+ professional teams. Methods-focused conference bridging academic statistics and sports practice.
Best for: Academic sports statisticians
Academic statistics conference at Harvard focusing on rigorous statistical methods for sports. Features peer-reviewed research from statisticians across sports domains.
Best for: Adtech professionals and media buyers
World's largest programmatic advertising conference with events in Las Vegas (May) and NYC (September). Covers adtech, programmatic buying, and digital advertising economics.
Best for: Streaming platform executives and analysts
Covers streaming economics, monetization, and content delivery. Focuses on the business and technology of streaming video platforms.
Best for: Customer success and retention analysts
Premier customer success conference with 2,500+ attendees. Covers churn prediction, customer health scoring, and retention analytics.
Best for: Data engineers and analytics practitioners
Vendor-neutral data engineering and analytics conference with 1,200-2,000 attendees. Covers data infrastructure, causal inference, and A/B testing practices.
Best for: Data scientists and ML practitioners
One of the largest data science conferences with ~20,000 annual attendees across East (Boston, May) and West (SF, October) events. Covers ML, AI, and data science applications.
The 9th International Conference on Econometrics and Statistics (EcoSta 2026) will be hosted by Ryukoku University, Kyoto, Japan, 8-10, August 2026.
Research Labs
Causal inference for recommender systems. CompCI project, annual CIDER roundtable. Research advisor: Nathan Kallus (Cornell).
Industry standard for uplift modeling and CATE estimation. Meta-learners (S, T, X, R). Key researchers: Huigang Chen, Totte Harinen.
Pricing Labs for A/B testing price changes, switchback experiments, marketplace analytics at scale.
Costis Daskalakis (mechanism design), Parag Pathak (school choice, NBER Market Design), Nikhil Agarwal (empirical market design).
Most widely-adopted causal ML tools. EconML for heterogeneous treatment effects, DoWhy for causal inference. Key researchers: Vasilis Syrgkanis, Amit Sharma.
Synthetic control, long-term causal effects. Published in Nature Machine Intelligence (2023). Led by Ciarán Gilligan-Lee.
World's premier collaborative programs in theoretical CS and economics. Semester programs on Economics and Computation.
Auction design, mechanism design, autobidding systems. Led by Vahab Mirrokni. Shapes Google's advertising marketplace.
Labor market analysis using LinkedIn's professional network data. Skills taxonomy, workforce trends.
Mechanism design, computational social choice, AI for markets. David Parkes, Milind Tambe, Yiling Chen. GemNet won EC'24 Exemplary Paper.
Experimentation at scale, network effects, peer effects, advertising analytics. Led by Nicolas Stier-Moses (VP).
Open-source framework for economic policy simulation using reinforcement learning. Multi-agent economic environments.
Created Generalized Random Forests (grf R package). Susan Athey, Stefan Wager, Guido Imbens (Nobel). The gold standard for causal forests.
Raj Chetty's lab. Opportunity Atlas, Social Capital Atlas, Economic Tracker. Most widely-used public policy big data.
Online
~15,000 members. Gamma exposure, dark pool, options flow. Quantitative trading community.
15M+ users. Competition strategies and ML techniques. Learn from Grandmasters. Public notebooks and solution breakdowns.
~30K subscribers. Econometric methods and software discussions for applied econometricians.
20K+ users. Operations research and optimization. Launched with INFORMS support. High-quality modeling answers.
Slack community (8,000+ members) for analytics leaders. Exchange experiences and advice on building data teams, analytics strategy, and career growth.
~15,000 members. Research operations and process optimization for UX and market researchers.
~17,000 members. R programming, tidyverse, statistical modeling. Active community for R practitioners.
~415,000 members. Python programming with data science channels. 24/7 expert help across 100+ helpers and regular hackathons.
Premier data mining community. SIGKDD membership ~$25/year with ACM membership. Explorations Newsletter and prestigious KDD Cup competition. KDD Conference is the top venue for data mining research.
Discord server (8,400+ members) for discussing econ grad school paths, life in PhD programs, and academic economics careers.
Growing community for pricing strategy, revenue forecasting, and GTM operations professionals.
500K+ users. Premier Q&A site for statistics and ML methodology. Famous statisticians participate. Community blog with high-quality answers often rivaling textbook explanations.
Slack community for data science learners. Weekly book clubs, TidyTuesday projects, and peer support for R, Python, and statistics.
19,000+ members across 22 subject-area sections. Key sections: Business and Economic Statistics, Survey Research Methods, Statistical Computing, Statistical Learning and Data Science. 78 geographic chapters host local events. Membership $195/year regular, $30/year student.
Active community for marketing analytics practitioners. Practical discussions on marketing measurement and analytics tools.
~10,000 members. Quantitative trading and technical analysis discussions.
Discord community (3,500+ members) run by economics professors and practitioners. Discussions on economic research, econometrics, and policy.
Developer-focused community for Bayesian causal inference and probabilistic programming. The Discourse forum (discourse.mc-stan.org) tends to be more active than Slack.
~23,000 members. The undisputed leader for marketing measurement professionals. Channels cover R/statistics, marketing mix modeling, attribution, GA4, Adobe Analytics, Tableau, and Looker. Senior practitioners actively engage.
Active community for user behavior analysis, funnels, and retention analytics. Product analytics practitioners.
Active community for product analytics and session replays. Discussions on behavioral analytics and product insights.
Large community for practical ML and accessible deep learning. Community around the famous fast.ai courses.
Growing MLOps community by Chip Huyen. Discussions on production ML and ML systems.
Active community for algorithmic trading platform users. Quantitative trading and strategy development.
~400K subscribers. Methodological debates, Bayesian vs frequentist discussions. Active statistics community.
~1.4M subscribers. High-quality moderated economics Q&A. Answers must be comprehensive and well-sourced, valuable for policy questions.
5K+ users. PyMC and Bayesian statistics. Core developers active. Good for frequentist-to-Bayesian transition.
American Economic Association's moderated discussion forum launched in 2018. 20,000-23,000 members. Non-members can register for approval. JOE Network essential for economics job market information.
~107K members. Research-focused and moderated LinkedIn group. One of the few LinkedIn groups maintaining genuine technical discussions.
~53K members. Market research best practices and consumer insights discussions.
~60,000 members. Product management and data-driven decisions. One of the largest product communities.
~9,000 members. RevOps, pricing operations, business systems. Community for operations professionals.
~5,700 members. Statistical methodology discussions for statisticians and data scientists.
~1.5M subscribers. Industry discussions, career advice, tooling. Active weekly career threads useful for understanding market dynamics.
~3M subscribers. Research papers and cutting-edge algorithms. Premier subreddit for ML research discussion.
~15K subscribers. Optimization and mathematical modeling discussions for OR practitioners.
10K+ users. Bayesian modeling, HMC/MCMC. Stan developers respond directly. Excellent for hierarchical models and diagnostics.
Millions of users. Tech industry and ML research discussions. Monthly 'Who's Hiring' threads. Paper discussions.
~133K members. Quantitative professionals discussing advanced analytics and statistical modeling.
~250K subscribers. Data infrastructure and pipelines. Community for data engineers.
Large Slack community (74,000+ members) for data scientists, ML engineers, and analysts. Free courses, weekly events, and active discussions on ML and data engineering.
Slack community (66,000+ members) for analytics engineers. Discussions on data transformation, SQL best practices, and modern data stack. Global meetup groups.
~28,000 members. ML operations, experimentation at scale, A/B testing infrastructure. Covers experiment tracking, feature stores, and statistical methods for online experiments.
~5,700 members. A/B testing, feature flagging, experiment design. Developer-focused community for experimentation practitioners.
~35,000 members. B2B marketing, revenue operations, GTM analytics. Large community for revenue-focused professionals.
~17,000 members. Growth experiments, marketing science. Community for growth practitioners focused on experimentation.
~40,000 members. Python, statsmodels, pandas, scientific computing. Large Python community for data science.
~17,000 members. Data visualization and storytelling with data. Community for data viz practitioners.
~9,000 members. Data reliability and data quality engineering. Community focused on data quality practices.
~3,000 members. Senior practitioners and industry applications. Professional community for experienced data scientists.
~200,000 members. Open-source ML, NLP, transformers. Community events, reading clubs, and direct access to developers working on transformers and open-source ML.
~30,000 members. General data science, ML, and visualization discussions.
~500 online. Towards Data Science community for career discussions and data science content.
~3,600 members. Julia for scientific computing. Community for Julia language users.
~150K subscribers. Applied analytics, KPIs, stakeholder management for analytics practitioners.
~90K subscribers. R programming for statistical computing. Active community for R users.
Operations research community with specialized groups: Revenue Management & Pricing Section, Decision Analysis Section, Analytics Section, Junior Faculty Interest Group. Membership ~$170/year. Annual Meeting and Analytics Conference are premier networking events.
30,000+ members. In 2024, absorbed the Digital Analytics Association (DAA). Data & Analytics Learning Hub, Virtual Conference on Marketing Analytics, 70+ local chapters. DAA's competency frameworks and salary surveys preserved.
330K+ members. DataScienceCentral.com ecosystem. Large community for data science professionals.
Meetups
Quarterly meetups specifically for A/B testing and experimentation practitioners. Statsig-hosted.
17,000 members - largest in the Midwest. Umbrella for 25+ specialized user groups including AppliedAI, Twin Cities Data Visualization, and LEHRN (People Analytics).
4,411 members. Ottawa's ML and AI community with strong government analytics presence due to federal departments.
Part of Data Community DC (dc2.org). Monthly technical talks on ML and AI.
10,000+ members. Monthly meetups on data science and software engineering for data.
American Statistical Association New York chapter. Quarterly events for statistics professionals.
1,877 members. Pittsburgh's primary data science community with CMU connections and strong academic-industry mix.
4,083 members - largest in Texas. Monthly meetups with enterprise focus. Connected to ASA North Texas Chapter.
Free monthly speaker events on Marketing Mix Modeling, data storytelling, and analytics. Ohio State TDAI connections.
American Statistical Association chapter for Southern California.
15,000+ members. Monthly meetups on R, Python, Julia, and open-source statistics. NYC's premier statistical programming community.
12,821+ members. Hands-on meetups. One of the largest Canadian AI/data groups.
10,000+ members. Monthly meetups hosted at tech companies. Industry ML discussions.
3,347 members. Annual DataCon LA conference and regular meetups.
1,402 members. Women-focused meetups, socials, and workshops at Atlassian.
3,046 members. 501(c)(3) nonprofit with monthly meetings and annual Analytics>Forward unconference. Strong ties to SAS, Duke, UNC, NC State.
1,093 members. Charlotte's data science and AI community with connections to UNC Charlotte.
1,489 members. Portland's Python data science community meeting monthly with the Portland R User Group.
Joint regional ASA-SSC chapter serving Montreal's statistics community with academic and industry connections.
Umbrella organization unifying PyData Calgary, Data for Good (10-year anniversary), and DAMA chapter.
Joint SSC-ASA chapter serving Ottawa's statistics community. Strong government and academic connections.
American Statistical Association Boston chapter. Quarterly events with pharma/biostat focus.
Monthly AI demos with participants from Google, Microsoft, Shopify, and Mila. Part of Montreal's world-class AI ecosystem.
1,085+ members. Monthly meetups for analytics engineering and dbt practitioners.
American Statistical Association Bay Area chapter. Quarterly events for statistics professionals.
Regular meetups focused on diversity in data science and open source contributions.
Large community for Python data science. Monthly meetups and annual conference.
Large community for Python data science. Monthly meetups. PyData Boston 2025 Dec 8-10 at Microsoft NERD.
Part of Data Community DC. Statistical methods and methodology discussions.
R for government practitioners. Focus on R programming for public sector data analysis.
Part of Data Community DC. Data visualization and storytelling with data.
Part of Data Community DC. Data science for social good projects.
17,380+ members. WeCloudData workshops. Largest data science meetup in Canada.
2,349+ members. Growth marketing and analytics community in Toronto.
5,000+ members. Monthly meetups on Python, R, Julia. Part of NumFOCUS program.
4,000+ members. Monthly meetups for R programming and statistical computing.
1,783 members. Monthly meetups for senior practitioners. Professional-level discussions.
Monthly meetups for operations research and analytics professionals.
20,000+ members. Deep tech talks on AI/GenAI. Food/drinks at venues. One of the largest in the country—events regularly sell out.
2,423 members. Monthly meetups plus annual conference planned for 2025.
Pacific Northwest operations research chapter. Regular events for OR professionals.
711 members. Media/entertainment focus. Senior practitioners in LA area.
1,500+ members. Monthly happy hours and networking for data professionals.
1,500+ members. Monthly happy hours with a strong Slack community extending conversations beyond meetups. Tight-knit community feel.
2,500+ members. Talks plus weekend study groups for data scientists.
500+ members. R programming for women in the Denver/Aurora area. Hybrid events.
6,325 members. Monthly hybrid events. IBM, Allstate, Civis sponsors.
2,000+ members. Open Data Science Conference Chicago community with in-person events.
2,000+ members. Academic-industry bridge events at University of Chicago.
5,445+ members. Southeast's largest data science ecosystem. Monthly meetups covering ML, analytics, and data engineering.
3,000+ members. Python for data analysis and scientific computing in Atlanta. Part of the global PyData network.
3,350 members meeting weekly. Active AI and ML community in Atlanta covering practical applications and latest research.
2,359 members. Miami's primary data science community for learning and networking.
1,788 members. Python data science community in South Florida with monthly events.
1,291 members. Part of global R-Ladies network promoting gender diversity in the R community.
1,500+ members with four monthly touchpoints: main meetup (1st Wed), Directors Roundtable (2nd Fri), Breakfast (3rd Tue), Brilliant Women in Data (4th Tue).
USF-sponsored meetup with free monthly events. Covers data analytics and AI with academic and industry speakers.
2,198 members. Central Florida's data science community. Gartner D&A Summit location city.
908 members. Python data science community in Pittsburgh. Part of the global PyData network.
2,728 members. Madison's data community with ties to UW-Madison Data Science Hub. Weekly coding meetups and workshops.
4,618 members. Merged Big Data and AI groups hosting 'Mega Meetups' with 100+ attendees at venues like Cleveland Museum of Natural History.
Kansas City's data science community with monthly 2nd Thursday meetups and University Showcase events.
2,197 members. Indianapolis Python community with IT Social networking events and data science content.
315 members. R programming community in Detroit for statistical computing and data science.
St. Louis big data community with SQL Saturday events. CIC venue for analytics meetups.
3,108 members. Major energy analytics hub meeting at the Ion Prototyping Lab. Focus on energy sector data science.
2,918 members. Another major Houston energy data science community meeting at the Ion Prototyping Lab.
5,000+ members. Active AI community with ties to UCSD's Halıcıoğlu Data Science Institute.
1,811 members. Active since 2009. Long-standing data science community in San Diego.
3,855 members. Salt Lake City's data community in the 'Silicon Slopes' corridor. Connected to Big Mountain Data & Dev Conference.
3,017 members. Data engineering focused community in Utah's tech corridor.
1,500+ members. Phoenix data community. City hosted INFORMS 2023 annual meeting.
5,272+ Instagram followers. Weekly workshops, hackathons, and the CxC Data Hackathon. Vector Institute connections.
7,074 members. Vancouver's largest data science community with monthly career events.
Vancouver analytics community with monthly career events and professional networking.
| Name | Dates | Location | Category | Subcategory | Attendees |
|---|---|---|---|---|---|
| Netflix Causal Inference | Active | Netflix | Research Labs | — | — |
| Marketing Science Institute (MSI) | MarTech & Customer Analytics | — | — | ||
| Uber CausalML | Active | Uber | Research Labs | — | — |
| Emily Glassberg Sands | Ongoing | Online | Blogs | — | — |
| MeasuringU | Ongoing | Online | Blogs | — | — |
| Amazon Science Economics | Active | Amazon | Research Labs | — | — |
| Jonathan Hall | San Francisco, CA | Notable Contributors | — | — | |
| Sean J. Taylor | Ongoing | Online | Blogs | — | — |
| Apoorva Lal | Ongoing | Online | Blogs | — | — |
| Yuzheng Sun (课代表立正) | Ongoing | Online | Blogs | — | — |
| Jed Kolko | Ongoing | Online | Blogs | — | — |
| Wharton Customer Analytics Initiative (WCAI) | MarTech & Customer Analytics | — | — | ||
| Defence and Peace Economics Journal | Ongoing | Online | Academic Journal | Defense Economics | — |
| Aswath Damodaran | New York, NY | Academic | — | — | |
| MIT Economics & Data Science | Active | MIT | Research Labs | — | — |
| ITEA Annual Conference | June (annually) | Various (rotating) | Conferences | Transportation Economics & Technology | 200+ |
| Microsoft Research ALICE (EconML/DoWhy) | Active | Microsoft Research | Research Labs | — | — |
| CLeaR (Causal Learning and Reasoning) | May (annually) | Lausanne, Switzerland (2025) | Conferences | Experimentation | 300+ |
| CODE@MIT Conference | October-November (annually) | Cambridge, MA | Conferences | Experimentation | 400+ |
| Stanford SITE | June-September (annually) | Stanford, CA | Conferences | Market Design | 50-100 per session |
| Shoptalk | March & October (biannually) | Las Vegas/Chicago | Conferences | Platforms & E-commerce | 10,000+ |
| ASHEcon (American Society of Health Economists) | June (annually) | Nashville (2025), Minneapolis (2026) | Conferences | Healthcare Economics | 1,000+ |
| Spotify Causal Inference Lab | Active | Spotify | Research Labs | — | — |
| AMIA Annual Symposium | November (annually) | San Francisco, CA | Conferences | Healthcare Economics & Health-Tech | 2,000+ |
| NBER Environment and Energy Economics | Ongoing | Cambridge, MA (Summer Institute) | Research Programs | Energy & Utilities Economics | — |
| NBER Environment and Energy Economics Program | Multiple meetings per year | Cambridge, MA / Virtual | Research Group | Energy Economics | 100+ |
| NYC Experimentation Meetup | Quarterly | New York, NY | Meetups | — | — |
| USAEE/IAEE North American Conference | November (annually) | Various US cities | Conferences | Energy & Utilities Economics | 500+ |
| USAEE/IAEE North American Conference | Annual, Fall | Various US cities | Conference | Energy Economics | 500+ |
| CSIS Defense and Security Events | Ongoing | Washington, DC / Virtual | Think Tank Events | Defense Policy | varies |
| MinneAnalytics | Regular | Minneapolis, MN | Meetups | — | — |
| Machine Learning & AI Ottawa | Monthly | Ottawa, ON | Meetups | — | — |
| Adam Kelleher | New York, NY | Notable Contributors | — | — | |
| TRB Annual Meeting | January (annually) | Washington, DC | Conferences | Transportation Economics & Technology | 13,000+ |
| Jean Tirole | Toulouse, France | Academic | — | — | |
| Geoffrey Parker | Hanover, NH | Academic | — | — | |
| Andrei Hagiu | Boston, MA | Academic | — | — | |
| Marshall Van Alstyne | Boston, MA | Academic | — | — | |
| Northwestern Workshop on Causal Inference | July-August (annually) | Chicago, IL | Conferences | Experimentation | — |
| SOLE/EALE Annual Meeting | June (annually) | Toronto, Canada (2025) | Conferences | Labor & Finance | — |
| ARF Marketing Analytics Accelerator | November (annually) | New York, NY | Conferences | Marketing Science | — |
| Marketing Analytics Summit | June (annually) | Phoenix, AZ | Conferences | Marketing Science | — |
| ACM RecSys | September-October (annually) | Minneapolis (2026) | Conferences | Platforms & E-commerce | 1,000+ |
| osQF (Open Source Quantitative Finance) | April (annually) | Chicago, IL | Conferences | Statistics & Analytics | 100+ |
| AREUEA (Real Estate and Urban Economics) | January/May/July (annually) | Washington DC/Various | Conferences | Labor & Finance | — |
| Analytics Unite | April (annually) | Chicago, IL | Conferences | Platforms & E-commerce | — |
| EADM/SPUDM | August (biennial) | Various Europe | Conferences | Decision Science | 450 |
| AIES (AI, Ethics, and Society) | October (annually) | Madrid (2025) | Conferences | Platforms & E-commerce | 400+ |
| Hudl Performance Insights | November (annually) | London, UK | Conferences | Sports Analytics | 400+ |
| ARF Marketing Analytics Accelerator | November (annually) | New York, NY | Conferences | Marketing Science | 500+ |
| Manifest Vegas (Supply Chain) | February (annually) | Las Vegas, NV | Conferences | Supply Chain | 6,000+ |
| Groceryshop | Late September (annually) | Las Vegas, NV | Conferences | Retail & CPG | 5,000+ |
| Quant Data Discord | Ongoing | Online | Online | — | — |
| Kaggle Discussions | Ongoing | Online | Online | — | — |
| Tianqi Chen | Pittsburgh, PA | Notable Contributors | — | — | |
| KDD (ACM SIGKDD) | August (annually) | Toronto, Canada (2025) | Conferences | Statistics & Analytics | 3,000+ |
| SABR Analytics Conference | February-March (annually) | Phoenix, AZ | Conferences | Sports Analytics | 300+ |
| GDC Festival of Gaming | March (annually) | San Francisco, CA | Conferences | Gaming & Esports | 30,000 |
| r/econometrics | Ongoing | Online | Online | — | — |
| Data Science DC | Monthly | Washington, DC | Meetups | — | — |
| OR Stack Exchange | Ongoing | Online | Online | — | — |
| Joint Statistical Meetings (JSM) | August (annually) | Nashville (2025) | Conferences | Statistics & Analytics | 5,000+ |
| ASA Symposium on Data Science & Statistics (SDSS) | April-May (annually) | Salt Lake City (2025) | Conferences | Statistics & Analytics | — |
| Decision Sciences Institute Annual Meeting | November (annually) | Orlando, FL (2025) | Conferences | Decision Science | 500+ |
| EsportsNext | May-June (annually) | Dallas, TX | Conferences | Gaming & Esports | 500+ |
| Locally Optimistic | Ongoing | Online | Online | — | — |
| ResearchOps Community | Ongoing | Online | Online | — | — |
| R for Data Science | Ongoing | Online | Online | — | — |
| Python Discord | Ongoing | Online | Online | — | — |
| discoRd (R Programming) | Ongoing | Online | Online | — | — |
| ACM SIGKDD | Ongoing | Online | Online | — | — |
| NYC Data Science | Monthly | New York, NY | Meetups | — | — |
| NYC ASA Chapter | Quarterly | New York, NY | Meetups | — | — |
| Austin AI, GenAI and ML | Regular | Austin, TX | Meetups | — | — |
| PGH Data Science | Monthly | Pittsburgh, PA | Meetups | — | — |
| DFW Data Science | Monthly | Dallas, TX | Meetups | — | — |
| Michael Trick | Pittsburgh, USA | Notable Contributors | — | — | |
| ACM Economics and Computation (EC) | July (Annual) | Varies (2024: Yale) | Conferences | — | — |
| NBER Economics of AI Conference | September (Annual) | Toronto / Various | Conferences | — | — |
| INFORMS Marketing Science Conference | MarTech & Customer Analytics | — | — | ||
| ACM Conference on Economics and Computation (EC) | Annual, July | Various (rotating) | Conference | Computational Economics | 300+ |
| SoFiE Financial Machine Learning Summer School | Annual (Summer) | Yale School of Management | Conferences | — | — |
| American Causal Inference Conference (ACIC) | May (annually) | Detroit, MI (2025) | Conferences | Experimentation | 700+ |
| Academic Economics Discord | Ongoing | Online | Online | — | — |
| Revenue Operations Alliance | Ongoing | Online | Online | — | — |
| Women in Operations Research & Management Science (WORMS) | Ongoing | Online | Online | — | — |
| CBUSDAW (Columbus Data & Analytics Wednesdays) | Monthly | Columbus, OH | Meetups | — | — |
| MLESI - Machine Learning in Economics Summer Institute | August 7-13, 2025 | Chicago Booth | Conferences | — | — |
| UC Berkeley Simons Institute | Active | UC Berkeley | Research Labs | — | — |
| Cross Validated (Stack Exchange) | Ongoing | Online | Online | — | — |
| Southern California ASA Chapter | Quarterly | Los Angeles, CA | Meetups | — | — |
| ISPOR (International Society for Pharmacoeconomics and Outcomes Research) | May (annually) | Montreal (2025) | Conferences | Healthcare Economics & Health-Tech | 4,000+ |
| POWER Conference (Berkeley) | March (annually) | Berkeley, CA | Conferences | Energy & Utilities Economics | 150+ |
| POWER Conference (Berkeley) | Annual, Spring | Berkeley, CA | Conference | Energy Economics | 200+ |
| Data Science Learning Community | Ongoing | Online | Online | — | — |
| Francis DiTraglia | Ongoing | Online | Blogs | — | — |
| Ming Tommy Tang (Chatomics) | Ongoing | Online | Blogs | — | — |
| American Statistical Association (ASA) | Ongoing | Online | Online | — | — |
| New York Open Statistical Programming (nyhackr) | Monthly | New York, NY | Meetups | — | — |
| Toronto Cognitive, AI & Data Science | Regular | Toronto, Canada | Meetups | — | — |
| Toronto People Analytics | Regular | Toronto, Canada | Meetups | — | — |
| SF Bay Area Machine Learning | Monthly | San Francisco, CA | Meetups | — | — |
| DataCon LA Users Group | Regular | Los Angeles, CA | Meetups | — | — |
| Women in Data Science and AI - ATX | Regular | Austin, TX | Meetups | — | — |
| Research Triangle Analysts | Monthly | Raleigh-Durham, NC | Meetups | — | — |
| Charlotte Data Science/AI | Monthly | Charlotte, NC | Meetups | — | — |
| PyData PDX | Monthly | Portland, OR | Meetups | — | — |
| Statistical Society of Montreal | Regular | Montreal, QC | Meetups | — | — |
| YYC Data Society (Calgary) | Regular | Calgary, AB | Meetups | — | — |
| Statistical Society of Ottawa | Regular | Ottawa, ON | Meetups | — | — |
| RAND Events and Seminars | Ongoing | Multiple locations / Virtual | Think Tank Events | Defense Analysis | varies |
| ASSA Annual Meeting | January (annually) | Various US cities | Conferences | Statistics & Analytics | 10,000+ |
| ACM EC (Economics and Computation) | June-July (annually) | Various | Conferences | Market Design | 400+ |
| Massimiliano Costacurta | Ongoing | Online | Blogs | — | — |
| Causal Data Science Meeting | November (annually) | Various | Conferences | Experimentation | 300+ |
| Aleksander Molak | Ongoing | Online | Blogs | — | — |
| Marginal Revolution (Tyler Cowen) | Ongoing | Online | Blogs | — | — |
| Al Roth's Market Design Blog | Ongoing | Online | Blogs | — | — |
| Ellie Murray | Ongoing | Online | Blogs | — | — |
| Ken Acquah | Ongoing | Online | Blogs | — | — |
| Carlos Fernández-Loría | Ongoing | Online | Blogs | — | — |
| ACM SIGMETRICS | June (annually) | Various | Conferences | Statistics & Analytics | 300+ |
| Analytics for Marketers | Ongoing | Online | Online | — | — |
| Google Market Algorithms | Active | Google Research | Research Labs | — | — |
| LinkedIn Economic Graph | Active | Research Labs | — | — | |
| Harvard EconCS Group | Active | Harvard SEAS | Research Labs | — | — |
| Google Ad Tech Antitrust Case Documents | Ongoing (2023-present) | Online | Legal Proceedings | Antitrust | — |
| Quant Trading App Discord | Ongoing | Online | Online | — | — |
| Winter Simulation Conference | December (annually) | Various (North America) | Conferences | Statistics & Analytics | 700+ |
| IIOC (Industrial Organization Conference) | April (annually) | Various US cities | Conferences | Antitrust | 400+ |
| Meta Core Data Science | Active | Meta | Research Labs | — | — |
| Econometric Society World Congress | August (every 5 years) | Seoul, Korea (2025) | Conferences | Statistics & Analytics | 2,000+ |
| Global Antitrust Economics Conference | November (annually) | New York, NY | Conferences | Antitrust | 300+ |
| INFORMS Analytics+ Conference | April (annually) | Indianapolis, IN (2025) | Conferences | Statistics & Analytics | 700+ |
| MIT Platform Strategy Summit | July (annually) | Cambridge, MA | Conferences | Platforms & E-commerce | 300+ |
| ML in Economics Summer Conference | August (annually) | Chicago, IL | Conferences | Statistics & Analytics | 150+ |
| NABE Applied Analytics Conference | November (annually) | Seattle, WA (2025) | Conferences | Experimentation | 200+ |
| The Web Conference (WWW) | April-May (annually) | Sydney, Australia (2025) | Conferences | Platforms & E-commerce | 2,000+ |
| WINE | December (annually) | Rutgers, NJ (2025) | Conferences | Market Design | — |
| Experimentation Island | February (annually) | St. Simons Island, GA | Conferences | Experimentation | — |
| ISMS Marketing Science Conference | June (annually) | Washington DC (2025) | Conferences | Marketing Science | 800+ |
| ANA Measurement & Analytics Conference | September (annually) | Chicago, IL | Conferences | Marketing Science | — |
| MSOM Conference | June (annually) | London Business School (2025) | Conferences | Pricing & Revenue | — |
| Workshop on Platform Analytics (WoPA) | April (annually) | UC San Diego (2026) | Conferences | Platforms & E-commerce | — |
| Product-Led Summit | Sep-Nov (annually) | SF/Boston/Toronto/Chicago | Conferences | Platforms & E-commerce | — |
| GSU-MS AI and FinTech Conference | October (annually) | Atlanta, GA | Conferences | Labor & Finance | — |
| SJDM Annual Meeting | November (annually) | San Diego, CA (2026) | Conferences | Decision Science | 1,500 |
| IAPP AI Governance Global | Spring (annually) | Boston area | Conferences | Platforms & E-commerce | 1,000+ |
| ACM FAccT (Fairness, Accountability, and Transparency) | June (annually) | Athens 2025, Montreal 2026 | Conferences | Platforms & E-commerce | 500-700 |
| Quant UX Con | November (annually) | Virtual | Conferences | Decision Science | 2,000+ |
| ACM CHI (Conference on Human Factors in Computing Systems) | April-May (annually) | Yokohama 2025, Barcelona 2026, Pittsburgh 2027 | Conferences | Decision Science | 5,000+ |
| ISF (International Symposium on Forecasting) | June-July (annually) | Montreal (2026) | Conferences | Statistics & Analytics | 400+ |
| Manifest (Forecasting Festival) | June (annually) | Berkeley, CA | Conferences | Statistics & Analytics | 500+ |
| INFORMS TSL Workshop | May (annually) | Seoul, Korea (2025) | Conferences | Supply Chain | 200+ |
| CAS RPM Seminar | March (annually) | Orlando 2025, Chicago 2026 | Conferences | Insurance & Actuarial | 1,000+ |
| NRF Retail's Big Show | January (annually) | New York, NY | Conferences | Retail & CPG | 40,000+ |
| SaaStr Annual | May (annually) | San Mateo, CA | Conferences | Platforms & E-commerce | 10,000+ |
| WINE (Web and Internet Economics) | December (annually) | Rutgers, NJ (2025) | Conferences | Market Design | 200+ |
| AAMAS (Autonomous Agents and Multi-Agent Systems) | May (annually) | Detroit, MI (2025) | Conferences | Market Design | 800+ |
| Economics Discord | Ongoing | Online | Online | — | — |
| Salesforce AI Economist | Active | Salesforce | Research Labs | — | — |
| Stanford Golub Capital Social Impact Lab (GRF) | Active | Stanford GSB | Research Labs | — | — |
| Opportunity Insights | Active | Harvard | Research Labs | — | — |
| Stan Community | Ongoing | Online | Online | — | — |
| Measure Slack | Ongoing | Online | Online | — | — |
| Mixpanel Community | Ongoing | Online | Online | — | — |
| Amplitude Community | Ongoing | Online | Online | — | — |
| fast.ai Discord | Ongoing | Online | Online | — | — |
| MLOps Discord (@chipro) | Ongoing | Online | Online | — | — |
| Quant Talk Discord | Ongoing | Online | Online | — | — |
| QuantConnect Discord | Ongoing | Online | Online | — | — |
| r/statistics | Ongoing | Online | Online | — | — |
| r/AskEconomics | Ongoing | Online | Online | — | — |
| PyMC Discourse | Ongoing | Online | Online | — | — |
| AEA EconSpark | Ongoing | Online | Online | — | — |
| KDnuggets AI, Big Data, Data Science, ML | Ongoing | Online | Online | — | — |
| Consumer Insights Interest Group | Ongoing | Online | Online | — | — |
| ASA Boston Chapter | Quarterly | Boston, MA | Meetups | — | — |
| AI Tinkerers Montreal | Monthly | Montreal, QC | Meetups | — | — |
| Susan Athey | Stanford, CA | Leading Lights | — | — | |
| Steve Tadelis | Berkeley, CA | Leading Lights | — | — | |
| Michael Ostrovsky | Stanford, CA | Leading Lights | — | — | |
| Peter Fader | Philadelphia, USA | Notable Contributors | — | — | |
| Byron Sharp | Australia | Notable Contributors | — | — | |
| Insurtech Insights | New York, London, Singapore | Conference | — | — | |
| Insurance Data Science Conference | Zurich, Switzerland | Conference | — | — | |
| SOA Annual Meeting | Various US cities | Conference | — | — | |
| Workshop on the Economics of Information Security (WEIS) | Annual, Summer | Various (rotating) | Conference | Cybersecurity Economics | 150+ |
| NBER National Security Working Group | Multiple meetings per year | Cambridge, MA / Virtual | Research Group | Security Economics | 50+ |
| ISMS Marketing Science Conference | Annual, June | Various (rotating) | Conference | Marketing Science | 500+ |
| Programmatic I/O (AdExchanger) | Twice yearly (Spring & Fall) | New York / San Francisco | Conference | Ad Tech Industry | 1000+ |
| ACM RecSys Conference | MarTech & Customer Analytics | — | — | ||
| Neil Hoyne | USA | Notable Contributors | — | — | |
| European Causal Inference Meeting (EuroCIM) | April (annually) | Various Europe | Conferences | Experimentation | 200+ |
| Stanford Causal Science Conference on Experimentation | May-June (annually) | Stanford, CA | Conferences | Experimentation | 200+ |
| Wharton Customer Analytics Conference | Spring (annually) | Philadelphia, PA | Conferences | Marketing Science | — |
| POMS Annual Conference | May (annually) | Atlanta, GA (2025) | Conferences | Pricing & Revenue | — |
| Conference on Mechanism and Institution Design (CMID) | Biennial | Various (rotating) | Conferences | Market Design | — |
| PPS profitABLE Conference | May & October (biannually) | Dallas/Las Vegas | Conferences | Pricing & Revenue | 500+ |
| Marketplace Risk Conference | Feb/May/Sep (annually) | Austin/SF/NYC | Conferences | Platforms & E-commerce | — |
| posit::conf | September (annually) | Atlanta (2025) | Conferences | Statistics & Analytics | 3,000+ |
| BDRM (Behavioral Decision Research in Management) | June (biennial) | Cornell Tech, NYC (2026) | Conferences | Decision Science | 200-300 |
| Prediction Market Conference | April (annually) | Las Vegas, NV (2026) | Conferences | Statistics & Analytics | 500+ |
| CSCMP EDGE | October (annually) | National Harbor, MD (2025) | Conferences | Supply Chain | 2,000+ |
| ITC Vegas (InsureTech Connect) | September-October (annually) | Las Vegas, NV | Conferences | Insurance & Actuarial | 10,000+ |
| Scott Cunningham | Ongoing | Texas, USA | Notable Contributors | — | — |
| Mind the Product | Ongoing | Online | Online | — | — |
| WizOps (Wizards of Ops) | Ongoing | Online | Online | — | — |
| Statistics Discord | Ongoing | Online | Online | — | — |
| r/datascience | Ongoing | Online | Online | — | — |
| r/MachineLearning | Ongoing | Online | Online | — | — |
| r/OperationsResearch | Ongoing | Online | Online | — | — |
| Stan Forums | Ongoing | Online | Online | — | — |
| Hacker News | Ongoing | Online | Online | — | — |
| Advanced Analytics, Predictive Modeling & Statistical Analyses | Ongoing | Online | Online | — | — |
| Boston dbt Meetup | Monthly | Boston, MA | Meetups | — | — |
| SF Bay Area ASA Chapter | Quarterly | San Francisco, CA | Meetups | — | — |
| Preston McAfee | Mountain View, CA | Leading Lights | — | — | |
| Michael Schwarz | Redmond, WA | Leading Lights | — | — | |
| Ethan Mollick | Philadelphia, PA | Leading Lights | — | — | |
| Svenja Gudell | Austin, TX | Notable Contributors | — | — | |
| Bill Gurley | San Francisco, CA | Notable Contributors | — | — | |
| Li Jin | San Francisco, CA | Notable Contributors | — | — | |
| Olga Berezovsky | San Francisco, CA | Notable Contributors | — | — | |
| Packy McCormick | New York, NY | Notable Contributors | — | — | |
| Mario Gabriele | New York, NY | Notable Contributors | — | — | |
| Joseph Politano | United States | Notable Contributors | — | — | |
| Brian Albrecht | United States | Notable Contributors | — | — | |
| Timothy Lee | United States | Notable Contributors | — | — | |
| Arthur Turrell | London, UK | Notable Contributors | — | — | |
| Frank Harrell | Nashville, TN | Notable Contributors | — | — | |
| Thomas Wiecki | Berlin, Germany | Notable Contributors | — | — | |
| Rob Hyndman | Melbourne, Australia | Notable Contributors | — | — | |
| Daniel Tunkelang | Bay Area, CA | Notable Contributors | — | — | |
| Erwin Kalvelagen | Netherlands | Notable Contributors | — | — | |
| Geoffrey De Smet | Belgium | Notable Contributors | — | — | |
| Thomas Wiecki | Germany | Notable Contributors | — | — | |
| Mario Filho | Brazil | Notable Contributors | — | — | |
| Eric Seufert | USA | Notable Contributors | — | — | |
| Garrett Johnson | Boston, USA | Notable Contributors | — | — | |
| Eva Ascarza | Boston, USA | Notable Contributors | — | — | |
| ITC Vegas | Las Vegas, USA | Conference | — | — | |
| UC Berkeley Institute of Transportation Studies | Ongoing | Berkeley, CA | Research Centers | Transportation Economics & Technology | — |
| CSCW (Computer-Supported Cooperative Work) | October (annually) | Bergen, Norway (2025) | Conferences | Decision Science | 500+ |
| r/dataengineering | Ongoing | Online | Online | — | — |
| Digonex Blog | Ongoing | Online | Blogs | — | — |
| Nick Huntington-Klein | Ongoing | Online | Blogs | — | — |
| Vincent Arel-Bundock | Ongoing | Online | Blogs | — | — |
| Christoph Molnar | Ongoing | Online | Blogs | — | — |
| Alex Deng | Ongoing | Online | Blogs | — | — |
| Kevin Kwok | Ongoing | Online | Blogs | — | — |
| Lucy D'Agostino McGowan | Ongoing | Online | Blogs | — | — |
| Matei Zaharia | Stanford, CA | Notable Contributors | — | — | |
| Matteo Courthoud | Ongoing | Online | Blogs | — | — |
| Matheus Facure | Ongoing | Online | Blogs | — | — |
| Nathan Lambert | Ongoing | Online | Blogs | — | — |
| Lilian Weng | Ongoing | Online | Blogs | — | — |
| Ferenc Huszar | London, UK | Notable Contributors | — | — | |
| INFORMS Annual Meeting | October (annually) | Atlanta, GA (2025) | Conferences | Statistics & Analytics | 6,000+ |
| NABE Annual Conference | September (annually) | Various US cities | Conferences | Statistics & Analytics | 500+ |
| NBER Summer Institute: Digital Economics | July (annually) | Cambridge, MA | Conferences | Platforms & E-commerce | 100+ |
| Northwestern Antitrust Conference | September (annually) | Chicago, IL | Conferences | Antitrust | 200+ |
| Stigler Center Antitrust Conference | April (annually) | Chicago, IL | Conferences | Antitrust | 200+ |
| INFORMS Revenue Management and Pricing Conference | July (annually) | Columbia (2025) | Conferences | Pricing & Revenue | — |
| Decision Sciences Institute (DSI) Conference | November (annually) | Orlando, FL (2025) | Conferences | Statistics & Analytics | — |
| Conference on AI/ML and Business Analytics | Various | Various (rotating) | Conferences | Statistics & Analytics | — |
| AcademyHealth Annual Research Meeting | June (annually) | Minneapolis (2025) | Conferences | Healthcare Economics | — |
| Federal Reserve Bank of San Francisco Fintech Conference | April (annually) | San Francisco, CA | Conferences | Labor & Finance | — |
| Wharton People Analytics Conference | April (annually) | Philadelphia, PA | Conferences | Labor & Finance | — |
| BSPA Annual Conference | May (annually) | Virtual | Conferences | Decision Science | 500+ |
| IC2S2 (International Conference on Computational Social Science) | July (annually) | Various (US 2026) | Conferences | Statistics & Analytics | 500+ |
| NetSci (Network Science Conference) | June (annually) | Boston, MA (2026) | Conferences | Statistics & Analytics | 1,000+ |
| Complex Networks Conference | December (annually) | Binghamton, NY (2025) | Conferences | Statistics & Analytics | 300+ |
| Social Simulation Conference | August-September (annually) | Various Europe | Conferences | Statistics & Analytics | 200+ |
| UXPA International Conference | June (annually) | Las Vegas, NV (2026) | Conferences | Decision Science | 1,000+ |
| MIT Sloan Sports Analytics Conference | March (annually) | Boston, MA | Conferences | Sports Analytics | 2,500+ |
| Carnegie Mellon Sports Analytics Conference (CMSAC) | October (annually) | Pittsburgh, PA | Conferences | Sports Analytics | 200+ |
| NESSIS (New England Symposium on Statistics in Sports) | September (biennial) | Boston, MA | Conferences | Sports Analytics | 200+ |
| Programmatic I/O | May and September (annually) | Las Vegas, NV / New York, NY | Conferences | Marketing Science | 2,000+ |
| Streaming Media Conference | October (annually) | Santa Monica, CA | Conferences | Marketing Science | 1,000+ |
| Gainsight Pulse | May (annually) | Las Vegas, NV | Conferences | Platforms & E-commerce | 2,500+ |
| Data Council | April (annually) | Oakland, CA | Conferences | Statistics & Analytics | 1,200-2,000 |
| ODSC (Open Data Science Conference) | May (East) and October (West) | Boston, MA / San Francisco, CA | Conferences | Statistics & Analytics | 20,000 (annual) |
| DataTalks.Club | Ongoing | Online | Online | — | — |
| dbt Community | Ongoing | Online | Online | — | — |
| Andrew Gelman | Ongoing | Online | Blogs | — | — |
| James Brand | Ongoing | Online | Blogs | — | — |
| Eugene Yan | Ongoing | Online | Blogs | — | — |
| Paul Goldsmith-Pinkham | Ongoing | Online | Blogs | — | — |
| Andrew Heiss | Ongoing | Online | Blogs | — | — |
| David McKenzie | Ongoing | Online | Blogs | — | — |
| Marc Bellemare | Ongoing | Online | Blogs | — | — |
| Juan Camilo Orduz | Ongoing | Germany | Notable Contributors | — | — |
| Andrej Karpathy | Ongoing | Online | Blogs | — | — |
| Sebastian Raschka | Ongoing | Online | Blogs | — | — |
| Tor Lattimore | Ongoing | Online | Blogs | — | — |
| Pranjal Rawat | Ongoing | Online | Blogs | — | — |
| Deepak Singh | Ongoing | Online | Blogs | — | — |
| Casey Winters | Ongoing | Online | Blogs | — | — |
| Arpit Gupta | Ongoing | Online | Blogs | — | — |
| Leo Saenger | Ongoing | Online | Blogs | — | — |
| Michael Luca | Ongoing | Online | Blogs | — | — |
| Lenny Rachitsky | Ongoing | Online | Blogs | — | — |
| Elena Verna | Ongoing | Online | Blogs | — | — |
| Sangeet Paul Choudary | Ongoing | Online | Blogs | — | — |
| Dan Hockenmaier | Ongoing | Online | Blogs | — | — |
| Adam Fishman | Ongoing | Online | Blogs | — | — |
| Mike Shields | Ongoing | Online | Blogs | — | — |
| James LeDoux | Ongoing | Online | Blogs | — | — |
| Emily Riederer | Ongoing | Online | Blogs | — | — |
| Robert Kubinec | Ongoing | Online | Blogs | — | — |
| Thomas Vladeck | Ongoing | Online | Blogs | — | — |
| Michael Kaminsky | Ongoing | Online | Blogs | — | — |
| MLOps Community | Ongoing | Online | Online | — | — |
| Optimizely Developer Community | Ongoing | Online | Online | — | — |
| RevGenius | Ongoing | Online | Online | — | — |
| Growmance | Ongoing | Online | Online | — | — |
| PySlackers | Ongoing | Online | Online | — | — |
| Data Visualization Society | Ongoing | Online | Online | — | — |
| Data Quality Camp | Ongoing | Online | Online | — | — |
| Data Science Salon Slack | Ongoing | Online | Online | — | — |
| Hugging Face Discord | Ongoing | Online | Online | — | — |
| Data Science/ML/AI Discord | Ongoing | Online | Online | — | — |
| The Data Share (TDS) | Ongoing | Online | Online | — | — |
| Humans of Julia | Ongoing | Online | Online | — | — |
| r/analytics | Ongoing | Online | Online | — | — |
| r/rstats | Ongoing | Online | Online | — | — |
| INFORMS Communities | Ongoing | Online | Online | — | — |
| American Marketing Association (AMA) | Ongoing | Online | Online | — | — |
| Data Science Central | Ongoing | Online | Online | — | — |
| Data Umbrella NYC | Regular | New York, NY | Meetups | — | — |
| PyData NYC | Monthly | New York, NY | Meetups | — | — |
| PyData Boston-Cambridge | Monthly | Boston, MA | Meetups | — | — |
| Boston AI Professionals | Regular | Boston, MA | Meetups | — | — |
| Statistical Seminars DC | Regular | Washington, DC | Meetups | — | — |
| R Govys | Regular | Washington, DC | Meetups | — | — |
| Data Visualization DC | Regular | Washington, DC | Meetups | — | — |
| DataKind DC | Regular | Washington, DC | Meetups | — | — |
| Toronto Data Science & Big Data | Regular | Toronto, Canada | Meetups | — | — |
| PyData Toronto | Regular | Toronto, Canada | Meetups | — | — |
| GrowthTO | Regular | Toronto, Canada | Meetups | — | — |
| PyData San Francisco | Monthly | San Francisco, CA | Meetups | — | — |
| Bay Area useR Group | Monthly | San Francisco, CA | Meetups | — | — |
| Data Science Salon SF | Monthly | San Francisco, CA | Meetups | — | — |
| INFORMS San Francisco Chapter | Monthly | San Francisco, CA | Meetups | — | — |
| Seattle AI and ML Group | Regular | Seattle, WA | Meetups | — | — |
| Seattle Data/Analytics/ML | Regular | Seattle, WA | Meetups | — | — |
| PyData Seattle | Monthly | Seattle, WA | Meetups | — | — |
| Analytics.Club Seattle | Regular | Seattle, WA | Meetups | — | — |
| INFORMS PNW Chapter | Regular | Seattle, WA | Meetups | — | — |
| Data Science Salon LA | Regular | Los Angeles, CA | Meetups | — | — |
| Los Angeles AI/LLMs/ML | Regular | Los Angeles, CA | Meetups | — | — |
| SoCal R Users Group | Regular | Los Angeles, CA | Meetups | — | — |
| Austin Data Meetup | Monthly | Austin, TX | Meetups | — | — |
| Denver Data Dudes and Dudettes | Monthly | Denver, CO | Meetups | — | — |
| Denver MLOps Community | Regular | Denver, CO | Meetups | — | — |
| Denver Data Science and ML | Regular | Denver, CO | Meetups | — | — |
| R-Ladies Aurora | Regular | Aurora, CO | Meetups | — | — |
| PyData Chicago | Monthly | Chicago, IL | Meetups | — | — |
| Chicago Data, Analytics & AI | Regular | Chicago, IL | Meetups | — | — |
| ODSC Chicago | Regular | Chicago, IL | Meetups | — | — |
| UChicago Data Science Institute | Regular | Chicago, IL | Meetups | — | — |
| Strategic Data/Analytics Users Chicago | Regular | Chicago, IL | Meetups | — | — |
| Data Science ATL | Monthly | Atlanta, GA | Meetups | — | — |
| PyData Atlanta | Monthly | Atlanta, GA | Meetups | — | — |
| Atlanta AI Developers Group | Weekly | Atlanta, GA | Meetups | — | — |
| Data Science Study Group: South Florida | Regular | Miami, FL | Meetups | — | — |
| PyData Miami | Monthly | Miami, FL | Meetups | — | — |
| R-Ladies Miami | Regular | Miami, FL | Meetups | — | — |
| Nashville Data Nerds | 4x Monthly | Nashville, TN | Meetups | — | — |
| Data Analytics & AI - Tampa Bay | Monthly | Tampa, FL | Meetups | — | — |
| Orlando ML and Data Science | Monthly | Orlando, FL | Meetups | — | — |
| PyData Pittsburgh | Monthly | Pittsburgh, PA | Meetups | — | — |
| Big Data Madison | Regular | Madison, WI | Meetups | — | — |
| Cleveland AI & Data | Monthly | Cleveland, OH | Meetups | — | — |
| Data Science KC | Monthly | Kansas City, MO | Meetups | — | — |
| IndyPy | Monthly | Indianapolis, IN | Meetups | — | — |
| Detroit useR Group | Regular | Detroit, MI | Meetups | — | — |
| STL Big Data | Regular | St. Louis, MO | Meetups | — | — |
| Energy Analytics and Data Science (Houston) | Monthly | Houston, TX | Meetups | — | — |
| Houston Energy Data Science | Monthly | Houston, TX | Meetups | — | — |
| San Diego AI Developers Group | Regular | San Diego, CA | Meetups | — | — |
| San Diego Data Science & R Users Group | Monthly | San Diego, CA | Meetups | — | — |
| Big Data Utah | Monthly | Salt Lake City, UT | Meetups | — | — |
| Utah Data Engineering Meetup | Monthly | Salt Lake City, UT | Meetups | — | — |
| DATAPHX | Monthly | Phoenix, AZ | Meetups | — | — |
| UW Data Science Club (Waterloo) | Weekly | Waterloo, ON | Meetups | — | — |
| Learn Data Science (Vancouver) | Monthly | Vancouver, BC | Meetups | — | — |
| Analytics Club Vancouver | Monthly | Vancouver, BC | Meetups | — | — |
| CalgaryR | Monthly | Calgary, AB | Meetups | — | — |
| Stratechery (Ben Thompson) | Ongoing | Online | Blogs | — | — |
| New Things Under the Sun (Matt Clancy) | Ongoing | Online | Blogs | — | — |
| Hal Varian | Mountain View, CA | Leading Lights | — | — | |
| Pat Bajari (1969-2025) | Seattle, WA | Leading Lights | — | — | |
| John List | Chicago, IL | Leading Lights | — | — | |
| Michael Luca | Boston, MA | Leading Lights | — | — | |
| Peter Coles | San Francisco, CA | Leading Lights | — | — | |
| Erik Brynjolfsson | Stanford, CA | Leading Lights | — | — | |
| Diane Coyle | Cambridge, UK | Leading Lights | — | — | |
| Cassie Kozyrkov | San Francisco, CA | Leading Lights | — | — | |
| Vicki Boykis | Philadelphia, PA | Notable Contributors | — | — | |
| Emily Oster | Providence, RI | Leading Lights | — | — | |
| Glen Weyl | Microsoft Research | Leading Lights | — | — | |
| Chris Nosko | San Francisco, CA | Notable Contributors | — | — | |
| Kyle Kretschman | New York, NY | Notable Contributors | — | — | |
| Karin Kimbrough | San Francisco, CA | Notable Contributors | — | — | |
| Skylar Olsen | Seattle, WA | Notable Contributors | — | — | |
| Daniel Zhao | San Francisco, CA | Notable Contributors | — | — | |
| Eugene Wei | Seattle, WA | Notable Contributors | — | — | |
| Sangeet Paul Choudary | Singapore | Notable Contributors | — | — | |
| Lukas Vermeer | Amsterdam, Netherlands | Notable Contributors | — | — | |
| Benedict Evans | London, UK | Notable Contributors | — | — | |
| Byrne Hobart | New York, NY | Notable Contributors | — | — | |
| Dylan Patel | San Francisco, CA | Notable Contributors | — | — | |
| Mikkel Dengsøe | London, UK | Notable Contributors | — | — | |
| John D. Cook | Houston, TX | Notable Contributors | — | — | |
| Georgi Georgiev | Europe | Notable Contributors | — | — | |
| Trevor Hastie | Stanford, CA | Notable Contributors | — | — | |
| Rob Tibshirani | Stanford, CA | Notable Contributors | — | — | |
| Art Owen | Stanford, CA | Notable Contributors | — | — | |
| Ryan Tibshirani | Berkeley, CA | Notable Contributors | — | — | |
| Anastasios Angelopoulos | Berkeley, CA | Notable Contributors | — | — | |
| Bojan Tunguz | Santa Clara, CA | Notable Contributors | — | — | |
| Ben Gorman | New Orleans, LA | Notable Contributors | — | — | |
| Xavier Amatriain | Bay Area, CA | Notable Contributors | — | — | |
| Jim Dowling | Stockholm, Sweden | Notable Contributors | — | — | |
| Willem Pienaar | Bay Area, CA | Notable Contributors | — | — | |
| Mike Del Balso | Bay Area, CA | Notable Contributors | — | — | |
| Abhishek Thakur | Germany | Notable Contributors | — | — | |
| Hendrik Jacob van Veen (Triskelion) | Netherlands | Notable Contributors | — | — | |
| Zygmunt Zajac | Poland | Notable Contributors | — | — | |
| Scott Lundberg | Seattle, WA | Notable Contributors | — | — | |
| Jason Brownlee | Australia | Notable Contributors | — | — | |
| Nathan Brixius | USA | Notable Contributors | — | — | |
| Alain Chabrier | France | Notable Contributors | — | — | |
| Ryan O'Neil | USA | Notable Contributors | — | — | |
| Dominik Krupke | Germany | Notable Contributors | — | — | |
| Laura Albert | USA | Notable Contributors | — | — | |
| Paul Rubin | USA | Notable Contributors | — | — | |
| Tallys Yunes | Miami, USA | Notable Contributors | — | — | |
| Kevin Gue | USA | Notable Contributors | — | — | |
| Austin Buchanan | Oklahoma, USA | Notable Contributors | — | — | |
| Mike Taylor | USA | Notable Contributors | — | — | |
| Michael Kaminsky | USA | Notable Contributors | — | — | |
| Koen Pauwels | Boston, USA | Notable Contributors | — | — | |
| Kevin Hillstrom | USA | Notable Contributors | — | — | |
| Edward Nevraumont | USA | Notable Contributors | — | — | |
| Kyle Poyar | USA | Notable Contributors | — | — | |
| Emily Kramer | USA | Notable Contributors | — | — | |
| Dominique Hanssens | Los Angeles, USA | Notable Contributors | — | — | |
| Ron Berman | Philadelphia, USA | Notable Contributors | — | — | |
| EcoSta 2026 - CMStatistics | Conferences | — | — |