Assess the student's ability to design an original, interdisciplinary graduate-level research proposal that integrates machine learning, behavioral economics, and public health to create, implement, and evaluate ethically informed, explainable interventions to reduce vaccine hesitancy across diverse populations. Include a clear research question and hypotheses; literature synthesis; ML approaches emphasizing explainability and causal inference; behavioral-intervention design; sampling, measurement, and equity considerations; ethical/privacy/fairness analysis; evaluation, implementation, and policy-translation plans; and limitations/mitigation.