July 1 – 11, 2026 · Macau · Paris · Geneva

ReModelUN

UNU Digital Future Summer Training Program

An immersive, research-linked journey in global governance and AI policy. From deliberation at the Learning Planet Institute in Paris to expert engagement at the ITU AI for Good Summit in Geneva.

Read Background Guide New to MUN? Start Here

About the Program

A Research-Driven Experience for Future Policy Leaders

The UNU Macau Summer Research Camp on AI, Policy & Digital Futures is an exclusive, research-linked opportunity for elite university and advanced high school students. It goes beyond traditional learning: participants engage in active policy lab work alongside UNU Macau researchers on some of the most pressing questions in AI governance.

At its core is the ReModelUN Pilot Conference 2026—a new Model UN format that reframes diplomatic simulation as a research-linked policy lab. Delegates don't just debate; they produce a UNU-style policy brief grounded in evidence, emerging technology, and real governance trade-offs.

The program bridges AI development, global policy frameworks, and direct United Nations experience—moving from Macau to Paris to Geneva across 11 transformative days.

UNU Macau

The United Nations University Institute in Macau, specializing in AI research, agent-based modeling, and digital governance.

Learning Planet Institute

A Paris-based research centre dedicated to learning sciences and transformative education, hosted at Université Paris Cité.

ITU

ITU AI for Good

The United Nations platform for AI and global development, accelerating the SDGs through responsible artificial intelligence.

A New Format

What is ReModelUN?

ReModelUN reframes Model United Nations as a research-linked policy lab. Jointly developed by UNU Macau and the Learning Planet Institute, it moves students beyond generic diplomatic performance toward evidence-based inquiry into emerging technology and public governance.

AI is moving beyond passive chatbots to tool-using, memory-enabled, autonomous systems that retrieve, plan, delegate, and act across environments. Governance must address not only what a model generates, but under what conditions an agent may operate, coordinate, and intervene. This is the frontier ReModelUN explores.

Read the full Background Guide →

AI-Supported Research

Delegates use generative AI, frontier agents, and retrieval-based research tools to ground their arguments in real evidence—not just Google searches.

Policy Brief Output

The final deliverable is not a standard MUN resolution but a concise UNU-style policy brief—problem definition, governance trade-offs, and implementable recommendations.

Research-Linked Documentation

Delegates document search strategies, AI prompts, LLM traces, and agentic workflows—making the research process itself transparent and analyzable.

Committee Topic

Governance of Autonomous Agentic AI Systems

Interoperability, Accountability, and Guidelines for Agent Harnesses

Interoperability

How do harnesses from different providers communicate? Establishing common protocols so safety signals and audit trails can travel across platforms.

Accountability

When an agent causes harm, who is answerable? Defining legal and operational responsibility for autonomous actions across borders.

Harness Guidelines

Creating a “Gold Standard” for the runtime environments that constrain agentic AI—secure by design, aligned with human rights.

Explore the Full Background Guide

The Journey

11 Days Across Three Global Capitals

From research foundations in Macau to policy deliberation in Paris and expert validation in Geneva.

Jul 1

Macau

Research foundations at UNU Macau. AI ethics, international law, agent-based modeling, and research framing with UNU experts.

Jul 2 – 5

Paris

ReModelUN at the Learning Planet Institute. Full-day committee sessions, AI for Good prep workshops, and Paris cultural exploration.

Jul 7 – 11

Geneva

ITU AI for Good Summit. Sessions, networking, expert engagement, closing presentations, and final policy pitch.

View full day-by-day agenda →

Why This Program

Distinctive Features

Research-Linked Learning

Directly connected to UNU Macau's ongoing research on AI agent harnesses, policy synthesis, and agent-based modeling.

Innovative AI Tools

Active use of LLMs, frontier agents, and retrieval-based systems for technical research, policy synthesis, and evidence gathering.

Multilateral Access

Direct engagement with UNU Macau, UNESCO, ITU, and expert practitioners across the AI governance ecosystem.

Agent-Based Modeling

Integration of computational simulation in committee work, allowing delegates to test policy scenarios with ABM tools.

Youth Voice at the UN

Policy briefs produced by delegates may feed into UNU publications and dissemination channels, amplifying youth perspectives.

UNU Certification

Participants receive a UNU–LPI camp certificate, with the possibility of an additional certificate for AI design contributions.

Delegate Experience

What You Will Actually Do

Learn

Master the fundamentals of MUN, study agentic AI as a governance problem, and understand the UN policy landscape before you arrive.

MUN 101 →

Deliberate

Engage in rigorous committee debate at the Learning Planet Institute in Paris. Frame governance problems. Draft working papers. Negotiate consensus.

Background Guide →

Deliver

Validate your policy work at the ITU AI for Good Summit in Geneva. Present your findings. Deliver youth voice to the heart of global AI governance.

Resources →

Cohort 2026

20–30 Selected Participants Worldwide

The program is designed for motivated university and advanced high school students from around the world. Delegates are selected for their academic excellence, passion for global governance, and readiness to engage with frontier AI policy questions.