DAI 2026 · Hong Kong8th International Conference on Distributed AIHong Kong · Nov 29 – Dec 2, 2026

Workshops + Tutorials

Call at a Glance

Submission TypeWorkshop or Tutorial Proposal
Required LabelWorkshop / TutorialState the proposal type clearly
Session Date29 Nov 2026Workshop and tutorial day
Proposal Deadline30 Jul 202623:59 AoE
Required ContentTitle, Abstract, Organizers
Submit ByEmail Both Contacts[email protected]
[email protected]
DecisionFinal Decision by Chairs
FormatConcise Proposal

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Overview

The 8th International Conference on Distributed Artificial Intelligence (DAI 2026) will be held at City University of Hong Kong from 29 November to 2 December 2026, under the theme Agentic AI Goes Live: Science, Systems, and Societies.

The workshop and tutorial program provides space for specialized technical discussion, community exchange, and practical learning. We welcome proposals for focused workshops, hands-on tutorials, survey-style tutorials, challenge sessions, system forums, and cross-disciplinary meetings relevant to distributed AI, multi-agent systems, and agentic AI.

All members of the AI community are invited to submit a concise proposal by email. Each proposal must clearly state whether it is intended as a workshop or a tutorial.

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Important Dates

All deadlines are 23:59 Anywhere on Earth (AoE), UTC-12.

MilestoneDateNotes
Workshop and Tutorial Proposal Deadline Email proposal to both Ying Wen and Lei Bai
Workshop and Tutorial Day City University of Hong Kong

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Submission

Please send workshop and tutorial proposals by email to both [email protected] and [email protected] by 30 Jul 2026, 23:59 AoE.

The email should include the proposal title, abstract, organizer introduction, and a clear indication of whether the proposal is for a workshop or a tutorial. Suggested subject line: DAI 2026 Workshop/Tutorial Proposal - [Title].

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Workshop and Tutorial Formats

Workshop Proposals

Workshops may be half-day or full-day events. They should be designed to promote active exchange through invited talks, contributed presentations, posters, panels, benchmark or challenge sessions, demonstrations, mentoring sessions, breakout discussions, or community roadmapping.

Tutorial Proposals

Tutorials are expected to be educational sessions that introduce, survey, or teach important methods, systems, tools, benchmarks, evaluation practices, or applications relevant to the DAI community. Lecture, hands-on, demonstration, and hybrid formats are welcome.

Participants in accepted workshops and tutorials will be required to register for DAI 2026. Publication or public material arrangements are not automatic and should be described in the proposal when relevant.

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Suggested Themes

DAI 2026 welcomes workshop and tutorial proposals on all topics relevant to distributed AI, multi-agent systems, and agentic AI. The following themes are especially encouraged.

Agents4Science and AI-Led Research

  • AI agents for scientific discovery across AI, biology, physics, chemistry, mathematics, materials, and related fields
  • Autonomous experiment design, literature understanding, hypothesis generation, and human-agent scientific collaboration

Foundations of Agent Minds

  • Continual learning, temporal abstraction, reinforcement learning foundations, and collective intelligence
  • Connections between single-agent cognition, multi-agent learning, and large-scale agent societies

Embodied Multi-Agent Systems and Physical AI

  • Multi-robot coordination, swarms, heterogeneous embodied teams, and vision-language-action models
  • World models, sim-to-real transfer, and safety layers for physical agent systems

Agent Economy and Mechanism Design

  • Agent markets, auctions, machine-payable APIs, contracts, and agent-to-agent transactions
  • Strategic behavior of LLM agents, algorithmic collusion, decentralized systems, and blockchain economics

Agent Protocols and Interoperability

  • MCP, A2A, orchestration frameworks, agent identity, provenance, and standards for tool-using agents
  • AgentOps, observability, debugging, evaluation, failure recovery, and production infrastructure

Multi-Agent Safety, Alignment, and Red-Teaming

  • Security, robustness, governance, alignment, and red-teaming for interacting AI agents
  • Evaluation of emergent behavior, deception, collusion, and failure modes in agent collectives

LLM Agents in Games, Simulations, and Virtual Worlds

  • Reasoning, planning, collaboration, strategy, and social behavior in simulated environments
  • Game-based benchmarks, virtual laboratories, and interactive worlds for distributed intelligence

Open-Ended and Self-Improving Agents

  • Self-improvement, recursive self-modification, self-reflection, and experience distillation
  • Open-ended learning, co-evolution, self-generated curricula, and evaluation of self-evolving systems

Meta-Science of Peer Review in the Age of AI

  • AI-assisted reviewing, AI-authored research, reproducibility, disclosure, and scientific credit
  • Evaluation protocols and community norms for AI agents as participants in research workflows

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Review and Decision

Proposals will be reviewed for relevance to DAI 2026, timeliness, expected community interest, organizer expertise, clarity of the proposed format, feasibility, and complementarity with the overall program.

The final decision on accepted workshops and tutorials will be made by the chairs.

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Contact

Submission Contacts
Ying Wen, Program Chair · [email protected]
Lei Bai, Workshop and Tutorial Chair · [email protected]