There are limited evaluations of the impact of knowledge translation (KT) activities aimed at addressing practice and policy gaps. We report on the impact of an interactive, end-of-grant KT event. Although action items were developed and key stakeholder support attained, minimal follow-through had occurred three months after the KT event. Several organizational obstacles to transitioning knowle...

We present the first differentially private algorithms for reinforcement learning, which apply to the task of evaluating a fixed policy. We establish two approaches for achieving differential privacy, provide a theoretical analysis of the privacy and utility of the two algorithms, and show promising results on simple empirical examples.

Responsibility for the final content and interpretation rests with the two primary authors. Contributing authors provided substantial additions and insights to this paper. Relations between science and policy concerning many issues (e.g., health, energy, natural resources) have been changing worldwide. Public pressure to resolve such complex and often controversial issues has resulted in policy...