Incentive Threat Modeling
Incentive threat modeling (ITM) identifies how extractive behaviors emerge and designs protocols to convert extractors into value generators. It blends game theory, mechanism design, and empirical microeconomics, but differs from academic theory by anchoring in reality. Traditional game theory assumes fixed rules and payoffs; ITM recognizes sophisticated actors spontaneously change rules and subvert mechanics to generate unintended outcomes.
Incentive Architecture
Incentive Architecture designs rules to achieve incentive compatibility—aligning self-interest with collective value creation. It engineers environments where profit-maximizing behavior naturally generates positive outcomes by making extraction costlier than contribution and embedding automatic penalties for defection. Effective incentive architecture anticipates strategic adaptation through feedback loops and dynamic penalties, creating equilibria where rational actors pursuing their own interests collectively maintain system integrity.
ML & Data Science
We measure whether your decisions are driving real causal impact.
We illuminate and quantify what are the long run consequences of your decisions.
We build behavioral models of customers that capture effects on your bottom line.