Program Schedule

11-Day Program Agenda

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

11
Days
4
Cities
4
Days at AI for Good
1
Policy Brief

Phase 1: Macau

Research Foundations

Jul 1
Wed

Macau Day

Online option available for international participants

Morning

Arrive & check-in at UNU Macau. Workshop on AI ethics, international law, and agent-based modeling. Research framing with UNU experts.

Evening

Departure for Paris (night flight).

Phase 2: Paris

Deliberation & Cultural Immersion

Jul 2
Thu

Arrival in Paris

Arrive & check-in. Free time to rest and acclimatize. Optional orientation walk.

Key Day
Jul 3
Fri

ReModelUN Conference — Full Day

Full-day committee session at the Learning Planet Institute (LPI)

Morning Session
  • Opening ceremony: welcome, agenda, rules of procedure
  • First round of formal statements (timeboxed)
  • Guided caucus: identifying shared priorities
  • Begin working paper: problem framing & solution pillars
Afternoon Session
  • Moderated debate & points of information
  • Unmoderated caucus for negotiations
  • Amendment drafting clinic
  • Mentor feedback & working paper review
Jul 4
Sat

AI for Good Prep & Paris Science Museum

Morning

AI for Good preparatory workshop at LPI. Briefing on summit structure, key sessions to attend, and structured note-taking protocols.

Afternoon

Visit to the Cité des Sciences et de l’Industrie—Paris’s premier science museum. Explore interactive exhibitions on AI, robotics, and digital technology.

Jul 5
Sun

Paris City Exploration

Morning

Île de la Cité (Notre-Dame exterior) → Sainte-Chapelle (optional) → Louvre courtyard → Tuileries Garden → Place de la Concorde → Champs-Élysées & Arc de Triomphe

Afternoon

Seine cruise or riverside walk → Eiffel Tower (Champ de Mars / Trocadéro) → Montmartre & Sacré-Cœur or Musée d’Orsay (optional)

Transit: Paris → Geneva

Via Lyon

Jul 6
Mon

Transfer to Geneva with Lyon Stop

Daytime

Coach from Paris to Geneva. Stop in Lyon for a short visit focused on AI & media art. Explore the intersection of technology and creative expression.

Evening

Continue to Geneva. Arrive and check-in at the hotel in the evening.

Phase 3: Geneva

ITU AI for Good Summit & Validation

Jul 7
Tue

AI for Good — Day 1

Morning

Sessions on governance, ethics, and inclusive AI development. Structured note-taking: gather evidence for policy arguments from your committee work.

Afternoon

Targeted networking: at least one short interaction per team. Daily debrief: 1 validated case + 1 data point + 1 implementable mechanism.

Jul 8
Wed

AI for Good — Day 2

Morning

Priority tracks: AI + Education, AI + Climate, AI + Health. Focus on concrete program models, partnerships, and implementation frameworks.

Afternoon

Optional visit to an international organization (WHO / WIPO / ILO, subject to availability). Daily debrief: map UN/IO ecosystem roles.

Jul 9
Thu

AI for Good — Day 3

Morning

Hands-on workshops: “Learn to Speak AI,” “Hands-on AI,” “FuturePitch.” Tools, datasets, and implementation case studies.

Afternoon

One targeted mini-interview per team with a summit expert. Daily debrief: update risk, feasibility, and budget assumptions in your policy brief.

Key Day
Jul 10
Fri

AI for Good — Day 4: Closing & Presentations

Morning

Closing ceremony and final presentations at the ITU. Deliver the youth voice to the heart of global AI governance. Present your policy brief.

Afternoon

Geneva area exploration: lakeside walk, Old Town, or nearby attractions. Group reflection and program wrap-up.

Return Journey

Homeward Bound

Jul 11
Sat

Return to Paris & Departure

Coach back to Paris with a stop at a medieval town for cultural heritage exploration. Continue to the airport for departure flights.

Daily Debrief Structure (Geneva Days)

Each evening in Geneva, teams complete a structured debrief to systematically strengthen their policy brief:

Day 1

1 validated case + 1 data point + 1 implementable mechanism from summit sessions

Day 2

Map the UN/IO ecosystem roles relevant to your policy recommendations

Day 3

Update risk, feasibility, and budget assumptions based on expert interviews