The Annual BayesiaLab Conference
Since its modest launch in 2013 in Orlando, Florida, the BayesiaLab Conference has grown into the premier global forum for the research, analytics, and practical application of Bayesian networks. In 2022, we proudly marked our 10th anniversary, celebrating a decade of interdisciplinary innovation and collaboration. Looking ahead, the 2025 BayesiaLab Conference, taking place this November in Boca Raton, Florida, promises to be our most expansive and engaging event yet, reflecting the growing momentum and far-reaching influence of our field.
To get a sense of the depth and diversity of the BayesiaLab Conference experience, we invite you to explore recordings from past events. The archives feature hundreds of hours of presentation videos, offering a preview of what you can expect at the upcoming 2025 BayesiaLab Conference.
2025 Conference in Boca Raton
Bayesian Networks on the Beach
2024 Conference in Cincinnati
Curious Minds in a Colorful Space
2023 Conference
Still Remote, Still Remarkable
2022 Conference
Ten Years of Insight, Innovation, and Impact
2021 Conference
Curiosity Connected by Zoom
2020 Conference
Real Insights in a Virtual World
2019 Conference in Durham
Biotech and Bayesian Networks
2018 Conference in Chicago
Bayesian Networks on the Magnificent Mile
2017 Conference in Paris
From the Eiffel Tower to AI Power
2016 Conference in Nashville
Modeling in Music City
2015 Conference in Fairfax
Where Policy Meets Probability
2014 Conference in Los Angeles
At the Birthplace of Bayesian Networks
2013 Conference in Orlando
The Inaugural BayesiaLab Conference
Bayesian Networks in Action
Introduced by Judea Pearl in the 1980s, Bayesian networks have long been valued in computer science. Today, their power as a versatile research and decision-support tool is increasingly recognized across a wide range of disciplines. Our conference is dedicated to advancing their practical use in solving real-world problems—from architecture to zoology.
A Cross-Disciplinary Community
What sets our conference apart is its interdisciplinary spirit. Attendees often discover surprising overlaps—like a medical research technique that solves a marketing problem. The event attracts researchers and professionals from diverse domains, fostering unexpected collaborations, such as between military strategists and market analysts.
Whether you're an experienced modeler or just beginning your Bayesian journey, you'll find yourself among peers who are eager to learn and share. Join us and explore the far-reaching potential of Bayesian networks.