Academics Batten X Navigating the Path from Data to Policy Navigating the Path from Data to Policy March 5, 2021 UVA DC Metro 1100 Wilson Blvd Rosslyn, VA 22209 United States Register We know that policy should be based on data, but how do we go about transforming data into policy? What does the path from data to policy look like? And what does it mean for policy to be driven by data? The purpose of this course is to help participants gain fluency in the fundamentals of policy research: understanding causality, combating biases in data collection and analysis, accounting for different interpretations of data, and—most importantly—how data can become policy (and why some policies are based on bad data or no data at all). The course will cover topics such as the opportunities for and limitations of identifying causal relationships in policy research, bias and ethics in data collection, and an overview of the most popular methods for statistical analysis in research today. Throughout the course, we will explore some of the key studies over the last decade that have had a meaningful effect on US policy. This course is in partnership with UVA School of Data Science. Participants This program does not require any prerequisite data science skills or experience. Registration Cost $500 Covid-19 Health and Safety Requirements Every participant, faculty, and staff member who will attend UVA executive education programs in spring 2021 will have to meet certain health and safety requirements designed to keep members of the UVA and broader community safe. UVA’s health and safety guidelines are recommended by the Centers for Disease Control and Prevention and the Commonwealth of Virginia. All program participants must complete a COVID-19 test and submit negative results within two weeks of the program date. Upon registration, participants will receive instructions to request a complimentary testing kit. Participants will conduct the test at home and submit samples to the testing lab via UPS. For more information about testing procedures as well as the other health and safety requirements, please view the executive education Return to Operations webpage. While we know we will never be able to eliminate all risk, UVA is developing stringent protocols and practices to mitigate health risk as much as possible. Daniel W. Player Dan Player’s research is focused on issues in education policy. His work has examined questions such as how teacher ability is recognized and rewarded in schools, whether teacher performance predicts turnover, and how teachers respond to working conditions. Read full bio Related Content Daniel W. Player Measuring the Quality of Teacher-Child Interactions at Scale: The Implications of Using Local Practitioners to Conduct Classroom Observations Research Are Parents’ Ratings and Satisfaction with Preschools related to Program Features? Research This study examines whether parents’ overall satisfaction with their child’s early childhood education (ECE) program is correlated with a broad set of program characteristics, including (a) observational assessments of teacher-child interactions; (b) structural features of the program, such as teacher education and class size; (c) practical and convenience factors (e.g., hours, cost); and (d) a measure of average classroom learning gains. It then describes associations between parents’ evaluation of specific program characteristics and externally collected measures of those features.