Sponsored by the Association for the Advancement of Artificial Intelligence
February 25-26, 2025 | Philadelphia Convention Center | Philadelphia, PA USA

Call for Participation

AAAI is pleased to present the AAAI-25 Bridge Program. Bridges will be held Tuesday and Wednesday, February 25 – 26, 2025. The AAAI-25 bridge program includes 9 Bridges covering a wide range of topics in artificial intelligence. Bridges are one day unless otherwise noted in the individual descriptions. Registration for the program is open to all interested individuals and required to participate. Bridge registration will be available as an add-on for AAAI-25 technical registrants as well.

The Goal of Creating Bridges

AAAI has incubated numerous AI sub-disciplines and conferences and has nurtured for decades the cohesion of AI. New communities often emerge when two or more disciplines come together in order to explore new opportunities and perspectives; today both are plentiful. The purpose of the AAAI Bridges Program is to tap into this new source of innovation by cultivating sustained collaboration between two or more communities, directed towards a common goal. Our interpretation of bridge is broad and encompasses disciplines both within and outside of AI. Hence, the communities that the AAAI Bridges Program brings together could be distinct subfields of AI, such as planning and learning, or different disciplines that contribute to and benefit from AI, such as AI and the humanities.

A successful bridge frequently focuses different perspectives towards a common vision and may be sparked, for example, by a social need, technological disruption or fundamental scientific question. In addition, a successful bridge is nurtured over a period of time through a suite of synergistic activities that include outreach, technical collaboration and education. Outreach engages a rich community of researchers, stakeholders, users and funders; effective collaboration stimulates technical discussion at every level, and education trains the next generation on what has been learned.

Submission Requirements

Submission requirements vary for each bridge. Submissions are due to the organizers on November 24, 2024 (please check individual bridge websites for extensions). Please submit your papers for review directly to the individual bridge according to their directions. Do not mail submissions to AAAI. Bridge organizers will notify submitters of acceptance by December 11, 2024, unless otherwise noted on their supplementary website. If the organizer is planning a formal publication, they will provide specific information about how to submit camera-ready copy. For further information about a Bridge, please contact the chair of that Bridge.

Formats

AAAI two-column format is often preferred, but not required, for bridge submissions. The AAAI 2025 Author Kit with style files, macros, and guidelines for this format is linked below. (Note that the 2025 author kit includes a AAAI copyright slug, which should be removed for workshop publications.)

For More Information

General workshop related inquires should be directed to bridge@aaai.org. All other inquiries should be directed to AAAI at aaai25@aaai.org.

AAAI-25 Bridge Co-Chairs

Sara Bernardini (Royal Holloway University of London, UK)
Nadia Figueroa (University of Pennsylvania, USA)

Additional Programming on February 25-26

AAAI is pleased to present the AAAI-25 Tutorial and Lab Forum . Bridges will be held Tuesday and Wednesday, February 25 – 26, 2025.

Tutorial and Lab Forum Connection to Collaborative Bridge Theme

New communities often emerge when two or more disciplines come together, in order to explore new opportunities and perspectives; today both are plentiful. The purpose of this year’s collaborative bridge theme is to help cultivate this process. Tutorials and labs act as catalysts for these bridges, they help to codify recent research results and tools and to present them to the research community in a timely fashion. Our goal for this year’s forum is to present to the community a diverse set of powerful formalisms, methods and tools that are representative of the diversity of AI as a whole.