Collaboration with Stanford and OECA
Thank you for expressing interest to learn more about how machine learning might help with environmental enforcement. We at Stanford’s Regulation, Evaluation, and Governance Lab (RegLab) are collaborating with OECA to develop and test potential approaches at improving environmental compliance. As an overview, see https://siepr.stanford.edu/research/publications/innovations-environmental-compliance-emerging-evidence-and-opportunities. In this survey, we are asking a few questions (~15 minutes) so that we can learn more about your context and understand where we can help most.
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What is your name? *
Which State or Region do you represent? *
Is your state or region currently conducting notifications to facilities either in violation or at risk of future violations (e.g. DMR Non-Receipt, Effluent Significant Noncompliance, Single Event Violation, etc.)? If so, could you provide a brief description of the intervention?
Would you be interested in participating in a study with Stanford RegLab and OECA to test the efficacy of potential interventions at improving environmental compliance? Note, any operational costs associated with said interventions will be kept to a minimum. *
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