Emily Wiegand

Analytics Manager

Emily Wiegand is Analytics Manager at Chapin Hall. Her work focuses on the use of administrative data to guide strategic planning and decision making in the nonprofit and public sectors and to create evidence-based policy. She partners with local, state, and federal agencies to assess data quality and availability, build capacity to improve administrative data systems, and facilitate the use of data for research and analysis. Wiegand has served as Principal Investigator for multiple projects on early learning data systems and integration, as well as leading components of the Family Self-Sufficiency Data Center and TANF Data Innovation projects. In addition to her knowledge of quantitative analysis, Wiegand has extensive experience with data manipulation, database development, and record linkage theory and practice. She oversees maintenance and upgrades to Chapin Hall’s Integrated Database on Child and Family Programs in Illinois, which links administrative data on social service receipt, education, criminal and juvenile justice, employment, healthcare, and early childhood programs. Wiegand routinely advises on the design of research using these data sources.

Prior to joining Chapin Hall, Wiegand was a member of the inaugural class of the Eric and Wendy Schmidt Data Science for Social Good Fellowship, where she combined administrative records with survey data to benchmark the effectiveness of an early childhood home visiting program. She previously worked for the United States Department of Health and Human Services Office of the Inspector General on an assessment of plans to improve the quality of federally collected Medicaid data. She also has experience in data analysis, reporting, and visualization in the nonprofit sector, particularly in fundraising.

Wiegand has a Master of Public Policy and a Bachelor of Arts in History, both from University of Chicago.

Master of Public Policy, University of Chicago

Bachelor of Arts in History, University of Chicago

Wiegand, E. R. (2020, October). Linking state and local administrative datasets for family self-sufficiency analyses. Presentation at the HHS ACF OPRE Research and Evaluation Conference on Self-Sufficiency, Washington, DC.

Wiegand, E. (2019, October). Complexities and practical solutions for linking human services datasets. Presentation at the 2019 Committee on National Statistics Data Linkage Day, Washington, DC.

Wiegand, E. (2019, July). TANF agencies’ access to data for research and analyses. Presentation at the 2019 National Association for Welfare Research and Statistics Annual Workshop, New Orleans, LA.

Wiegand, E., Goerge, R., & Gjertson, L. (2019, July). Describing TANF caseloads: Methods and considerations from the Family Self-Sufficiency Data Center. Presentation at the 2019 National Association for Welfare Research and Statistics Annual Workshop, New Orleans, LA.

Wiegand, E. (2018, May). Tools and methods for cross-state knowledge sharing and collaboration in using data. Presentation at the 2018 Research and Evaluation Conference on Self-Sufficiency, Washington, DC.

Wiegand, E. (2016, June). Family Self-Sufficiency Data Center: Tools and methods for enhancing the use of administrative data. Presentation at the 2016 Research and Evaluation Conference on Self-Sufficiency, Washington, DC.

Wiegand, E. (2015, August). State data needs around family self-sufficiency from the Family Self-Sufficiency Data Center. Presentation at the 2015 NAWRS Annual Workshop, Atlanta, GA.

Louis Brownlow Award, 2018 (best practitioner-related article published in Public Administration Review)

Goerge, R. M., & Wiegand, E. R. (2019). Understanding vulnerable families in multiple service systems. RSF: The Russell Sage Foundation Journal of the Social Sciences, 5(2), 86–104.

Allard, S. W., Wiegand, E. R., Schlecht, C., Datta, A. R., Goerge, R. M., & Weigensberg, E. (2018). State agencies’ use of administrative data for improved practice: Needs, challenges, and opportunities. Public Administration Review, 78(2), 240–250.

Thorland, W., Currie, D., Wiegand, E. R., Walsh, J., & Mader, N. (2017). Status of breastfeeding and child immunization outcomes in clients of the Nurse-Family Partnership. Maternal and Child Health Journal21(3), 439–445.

Wiegand, E., Goerge, R., & Gjertson, L. (2017). Family Self-Sufficiency Data Center: Creating a data model to analyze TANF caseloads. Washington, DC: Family Self-Sufficiency and Stability Research Consortium.

Key Work

Key Work

Exemplary TANF Data Users Show Strong Communication, Collaboration, and Partnerships
This brief discusses accessible strategies to promote the use of data and disseminate analyses so that policymakers can use evidence to improve TANF for...
Illinois Childcare Workers Experienced Employment Interruptions During Early Months of the COVID-19 Pandemic
This report analyzes Illinois employment data through 2020 to better understand the impacts on the childcare labor market in the early days of the pandemic
Expanding Data Use and Evidence in the TANF Program: Identifying Strengths and Areas for Growth Across the U.S.
This brief summarizes the national landscape of how TANF agencies use data and identifies areas of success and opportunities for growth.
Partnering to Improve Child Care Policy
Chapin Hall was awarded a federal grant to develop a Child Care Policy Research Partnership with numerous statewide organizations to improve child care in...
December 17, 2020
Finding Effective Strategies to Expand Data Use in State Human Service Agencies
This paper discusses successes and failures in working with state and local human service agencies and researchers to compile administrative data sources that...
Research Collection
Record Linkage among Human Services Data Sources
Chapin Hall has developed a body of research about technical best practices for linking human services data sources to facilitate research and analyses on...
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