Automating Policy Formation

Translating the results of research on learning into policy may require an understanding of the particular context and the policymaking conventions of the relevant jurisdiction. There is likely to be value in knowing the specific form that draft expressions and statements of policy should take in order to be considered by appropriate governance bodies. Work on geographic localization is attempting to address this challenge in a number of cases.

However, even without sophisticated geographic localization, as policy studies have matured there are a growing number of instances in which policy making bodies are seeking model legislation and policy language from other venues to use as starting points for their own consideration. This means that there could be value in generating sample policy statements for general use.

The goal of automating this stage of the research process will not be to make final policy decisions, but rather to draft policy statements for review, revision, and approval by relevant decision makers. Accordingly, the automated process will begin with the findings reported by research on learning and refine those according to the conventions of the policy makers.

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