Tracks
3-hour format: planning → prompt iteration → verification → presentation.
Each track pairs a real campus challenge with structured AI coaching guidance.
Track
Curate historical sources to build a three-minute interpretive presentation of a contested event, reconciling conflicting narratives.
Example challenge
Explain the same event to multiple audiences while identifying bias and defending interpretive choices in a short staged briefing.
Allowed AI usage: AI restricted to questioning, counterarguments, and bias detection—no scripts, dialogue, or explanatory content may be generated.
Track
Analyze large real-world datasets to recommend policy positions grounded in evidence and uncertainty awareness.
Example challenge
Evaluate climate, health, or transit data to defend a policy path with transparent methodology.
Allowed AI usage: AI may support hypothesis generation, aggregation, and assumption checks but cannot produce policy conclusions—students own methods and rationale.
Track
Source data and select key facts to craft an infographic championing a charitable or public-interest campaign with integrity.
Example challenge
Design a data-backed poster supporting a community health initiative with responsible sourcing.
Allowed AI usage: AI can surface sources and stress-test claims but may not produce final messaging—students justify every editorial decision.
Track
Use historical housing market data to make a one-year investment decision emphasizing risk awareness and transparent reasoning.
Example challenge
Recommend how to allocate a housing fund amid uncertain market conditions and explain the logic.
Allowed AI usage: AI may identify trends and probe assumptions but cannot make the decision or justification—participants synthesize evidence and defend their stance.