Research Track
Original research on the theory, methods, systems, evaluation, and applications of distributed AI, autonomous agents, multi-agent systems, and agentic AI; 8 pages, double-blind review.
AI/CORE Unranked
DAI 2026
International Conference on Distributed Artificial Intelligence
DAI 2026 is the 8th International Conference on Distributed Artificial Intelligence, focusing on the science, systems, and societies of agentic AI. It brings together researchers and practitioners to present original work on distributed AI, multi-agent systems, and real-world deployments, with a theme centered on AI agents operating in live scientific, economic, and social environments.
Key deadlines
Verified September 9, 2026Full paper
August 11, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
August 11, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Industry Track
Experience papers, case studies, system descriptions, benchmark reports, and demo proposals from teams deploying distributed and agentic AI in real settings; 6 pages, single-blind review.
AI Paper Track
Experimental venue for studying AI agents as participants in research, including fully autonomous and human-AI collaborative scientific workflows; requires autonomy disclosure, 10 August deadline.
Sister Conference Track
Non-archival presentations of relevant work already accepted at AAMAS, AAAI, IJCAI, EC, KDD, ICLR, ICML, NeurIPS, and related venues; rolling submission, no archival status.
Workshops & Tutorials
Community-led workshops and tutorial sessions for emerging topics in distributed and agentic AI; proposals due 30 July 2026.
Research areas in scope
01
Research Track Topics
Agent Engineering & InfrastructureFoundations of Agent LearningSelf-Evolving & Self-Improving AgentsMulti-Agent Cooperation & Human-Agent InteractionGame Theory, Economics & Agent MarketsEmbodied Multi-Agent SystemsScience of AI & AI for Science
Policies worth checking twice
- Submissions must present original work not published, accepted, or under review at another archival venue.
- Simultaneous submissions of substantially similar work to other archival conferences or journals are prohibited during the review period.
- Research Track submissions require double-blind review; authors must anonymize papers by removing names, affiliations, and identifying information.
- Industry Track submissions use single-blind review; anonymization is not required.
- Authors must disclose the use of generative AI tools when they materially contribute to writing, research design, code generation, data analysis, experiments, or other substantive parts of the work.
- Prompt injection, hidden instructions to reviewers, reviewer manipulation, plagiarism, fabricated results, and collusion are prohibited.
- Submissions involving human subjects, sensitive data, privacy/security risks, autonomous decision-making, or safety-critical deployment must include discussions of risks, safeguards, consent, and compliance.
- At least one author of each accepted paper must register for and present the work at the conference.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official conference siteCallsCall for Papers: Research TrackCall for Papers: Industry TrackCall for Papers: AI Paper TrackCall for Papers: Sister Conference Track
Last verified September 9, 2026