Call for Presentations
Live online, free to attend
May 11-13, 2027
Present Your Work. Expand Your Network.
Join us online to present and discuss your work with Bayesian networks. We welcome submissions from academia, government, industry, and solution providers, showcasing new applications, ongoing projects, and technical innovations. Participation is open to all, whether you use BayesiaLab or another Bayesian network tool.
The 2027 Bayesia Summit offers rich insights into the latest developments in applied research using probabilistic graphical models and Bayesian networks. Because the Summit is fully online and free to attend, your work reaches colleagues in every region, including many who could never join an in-person venue.
Presentation Format
- Presentations are delivered live over our online conference platform and streamed to a global audience.
- You may share your own screen to present your slides, or send your slides in advance for our team to run on your behalf.
- Presentation slides should ideally be formatted in a 16:9 aspect ratio.
- Each speaker will be allocated a 45-minute session, consisting of a 30-minute presentation followed by 5 to 15 minutes of live audience Q&A.
Proposal Submission Guidelines
- Please email your proposal to conference@bayesia.us
- Please include the following materials with your proposal:
- Presentation Title
- Full Name, Academic Degree, Professional Title, and Affiliation for each presenter
- Presentation Abstract
- Presenter Biography - A short professional bio for each presenter
- Presenter Headshot - A high-resolution image of each presenter
Presentation Recording & Distribution
- Presentation abstracts and materials may be published on the Bayesia website before, during, and after the Summit.
- All sessions are recorded by default. By submitting a proposal, you grant Bayesia permission to record, publish, and distribute your presentation, including video, audio, and slides, on the Bayesia website and affiliated media channels.
- If you have any confidentiality restrictions related to recording or the distribution of your presentation materials, please inform the Summit organizers in advance.
Copyright and Originality
- Presenters are responsible for ensuring that all content in their presentation is either original or properly attributed, and that any third-party material is used with appropriate permissions or licenses.
- Bayesia assumes no liability for copyright infringements.
Frequently Asked Questions
What to Expect?
If this is your first time joining a Bayesia Summit, we encourage you to explore the archives from past events. They offer a rich overview of presentations, case studies, and research applications that illustrate the depth and diversity of our global user community.
Beyond the technical sessions, the Summit is built to help you connect with fellow researchers, practitioners, and decision-makers who share a common interest in Bayesian networks. These conversations are often just as valuable as the formal presentations, sparking collaborations that extend well beyond the event itself.
Previous Conferences
