Summary of "How to Research for MUNs Like a Pro (Using AI the Smart Way đź’€)"

Core message

Success in Model United Nations (MUN) depends less on oratory and more on smart, factual, well-organized research. Strong research gives credibility, enables persuasive POIs and defenses, and lets you propose realistic, committee-appropriate solutions that shape debate.

Foundations: the three pillars of your country’s policy (your “MUN DNA”)

Use these three categories to model what your country would realistically say and do.

Internal policy

Border policy

Foreign policy

Committee & agenda research

Quick tip: Google “powers/functions of [committee name]” before developing solutions.

Opponent, ally, and self-research (how to out-research others)

Building solutions (highest-impact part of any speech)

Speech structure recommendation

  1. Cause → Effect → Solution format.
  2. Allocate time deliberately: combine cause + effect for ~25% of the time and spend ~75% on solutions (lead with short context, focus on solutions).
  3. Provide concrete, named proposals. Example:

    “Establish regional refugee verification hubs under UNHCR supervision to streamline asylum processing and prevent illegal trafficking.”

Benefits of having many prepared solutions:

POIs and engagement

Organization & tools

Recommended tools: Google Docs or Notion (Google Docs favored by the speaker).

Suggested document/tab structure:

Research priorities for large committees (e.g., UNGA):

Time estimate for opponent research with AI: ~2–3 hours if done efficiently.

Using AI responsibly

Practical strategy & etiquette

Concrete examples mentioned

Notes about subtitle accuracy

Subtitles were auto-generated and contain likely transcription errors. Likely corrections:

Recommendations above assume these corrections where applicable.

Speakers and sources referenced

Want a template or prompts?

If useful, the following can be provided:

(End of summary)

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Educational


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