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Modern societies rely extensively on computing technologies. As such, there is a need to identify and develop strategies for addressing fairness, ethics, accountability, and transparency (FEAT) in computing-based research, practice, and educational efforts. To achieve this aim, a workshop, funded by the National Science Foundation, convened a working group of experts to document best practices and integrate disparate approaches to FEAT. The working group included different disciplines, demographics, and institutional types, including large research-intensive universities, Historically Black Colleges and Universities, Hispanic-Serving Institutions, teaching institutions, and liberal arts colleges. The workshop brought academics and members of industry together along with government representatives, which is vitally important given the role and impact that each sector can have on the future of computing. Relevant insights were gained by drawing on the experience of policy scholars, lawyers, statisticians, sociologists, and philosophers along with the more traditional sources of expertise in the computing realm (such as computer scientists and engineers). The working group examined best practices and sought to articulate strategies for addressing FEAT in computing-based research and education. This included identifying methodological approaches that researchers could employ to facilitate FEAT, instituting guidelines on what problem definition practices work best, and highlighting best practices for data access and data inclusion. The resulting report is the culmination of the working group activities in identifying systematic methods and effective approaches to incorporate FEAT considerations into the design and implementation of computing artifacts.