The Only AI-Proof Laboratory for International Relations.
Move beyond the essay. Generate unique, un-Googleable datasets for every course section. Automate the Security Dilemma.
EAST AFRICA FLOODS: MITIGATING COORDINATION FAILURE IN DISASTER RELIEF
The United Nations recently issued an urgent appeal for increased humanitarian funding to address catastrophic, climate-induced flooding across East Africa, warning that international donor pledges are falling drastically short of the required capital. This global shock exposes severe vulnerabilities in crisis bargaining, coordination failure, and collective action, as individual nations hesitate to contribute their own resources while waiting for others to bear the financial cost. Statecraft Move: Execute a burden-sharing move by negotiating burden allocation across states (specifically pooling money and aid) to address an in-simulation climate shock, and add an automated resource-extraction penalty as an enforcement lever to prevent free-riding. https://news.un.org/en/story/2024/05/1149631
Fit the simulation into a 14-week schedule.
A practical alignment from theory blocks to simulation turns—so every section produces assessable, un-Googleable evidence.
Live empirical evidence: the self-sustaining classroom.
Observe how active learning scales to large sections without increasing instructor intervention. This is where students generate the unique, AI-proof datasets they will analyze in their research papers.
In this laboratory model, the professor is not just a lecturer or game master. You are the principal investigator, observing a self-correcting system that automates active learning logistics while you focus on high-level theoretical debriefs.
The Essay is Broken. The Simulation is Secure.
Generative AI cannot analyze a history that hasn’t happened yet. Your course section produces a unique dataset—so students must reason from evidence, not retrieval.
Every simulation generates a unique history not found in LLM training data.
Assign prompts like: “Analyze the collapse of the Atlantis–Kyrat Alliance in Turn 4.” ChatGPT cannot answer this.
Students defend claims with simulation evidence—trade flows, trust scores, alliance networks, and crisis outcomes.
Prove the syllabus fit—concept by concept.
Select a canon topic on the left. On the right: the specific Statecraft mechanic that automates the concept into a dataset you can grade.
Automating the Security Dilemma
Students experience the “panic” of a self-help system where defensive moves are misread as aggression.
Mechanic: “Spy Reports & Arms Races.” As noted in Lecture #4, arms buildups are visible to rivals, provoking fear and counter-balancing. Students feel the visceral reality of the Security Dilemma.
Students experience the “panic” of a self-help system where defensive moves are misread as aggression.
Mechanic: “Spy Reports & Arms Races.” As noted in Lecture #4, arms buildups are visible to rivals, provoking fear and counter-balancing. Students feel the visceral reality of the Security Dilemma.
Don't Reinvent the Syllabus.
Download the complete Instructor's Field Guide, featuring 13 weeks of lecture outlines mapping every turn of the simulation to the standard IR canon.
Statecraft & The Canon
Inject the news cycle into the simulation.
Keep sections relevant with “scenario injections” that transform real-world events into assessable simulation shocks.
We Automate the Logistics. You Teach the Theory.
TAs are the gatekeepers. This kit is designed to make the simulation runnable, repeatable, and low-drama for every section.
Grade 50 policy memos in 1 hour with structured rubrics and evidence-first prompts.
Ten-minute, pre-written debriefs that translate sim outcomes into theory takeaways.
Protocols for dropped students, collapsed states, and stalled negotiations—without derailing the syllabus.