This federal Project Grant award of $375,000 from the National Science Foundation (NSF) Division of Mathematical Sciences supports a research project titled "Statistical Inference with Strategic Agents: Accounting for Incentives and Information Asymmetry" at the Massachusetts Institute of Technology (MIT). The project aims to advance statistical analysis methods for decision-making in environments with multiple stakeholders who may have divergent incentives and information asymmetries. The technical goal is to study statistical inference within a principal-agent model, where the statistician acts as the principal interacting with agents who can provide statistically relevant information. This research aims to develop more robust statistical protocols that account for stakeholder behavior and lead to more trustworthy scientific conclusions. The award period runs from August 15, 2024 to July 31, 2027 and is funded under the NSF Mathematical and Physical Sciences (CFDA 47.049) grant program.
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