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18 Oct 2022 | |
Past Events |
This hybrid event, which is part of the White House Year of Evidence for Action, bridged theory, practice, and forward thinking about the next steps in the evidence movement. The discussion was hosted virtually or in-person with the Data Foundation, co-hosted with the White House’s Office of Science and Technology Policy in collaboration with the Office of Management and Budget, on October 18, 2022, in considering the use of evidence for the Year of Evidence for Action and beyond.
Overview
As implementation of data and evidence initiatives across the public sector are underway and continuing to grow in scale, the opportunities for identifying and using the latest and most relevant evidence will continue to grow and evolve as well. The maturity of evidence-informed policy and practice in all levels of government benefits from ongoing consideration about how to most effectively ensure knowledge and evidence are rapidly translated and “brokered” for decision-making uses in context. That is, how will the generated evidence most effectively be translated into meaningful and appropriate uses for decision-making and policymaking? Emerging models of user-designed systems, living evidence, active evidence, and information synthesis move beyond the presentation of study results in clearinghouses or as single studies, recognizing the translational role in the next generation of applying evidence to decision-making.
In this event, multiple models were discussed and explored with conversations about collaboration, partnership, and next steps. Participants considered the applicability to their unique contexts contributing directly to the ongoing development of these approaches. During the event, presenters will offer different features of the challenges and opportunities to consider, offer a framework for advancing future translational capabilities for decision-making, and weigh how emerging capabilities can advance adoption of the Evidence 2.0 Framework to support evidence-informed decision-making in the real-world.
DATA FOUNDATION
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