Improving service delivery for clients, increasing efficiency, and minimizing costs are key goals for TANF programs. In recent years, evidence, evaluation, and program analytics have helped harness the power of evidence and data to improve program outcomes.
- Education program and policy analysis
- Systematic reviews
- Evidence-based technical assistance
- Implementation and process evaluation
- Early Childhood
- Family Support
- Systematic Evidence Reviews
- Teacher and Principal Preparation and Support
- Effective Data Use
- TANF and Employment Issues
Ms. Zukiewicz is a researcher with diverse experience in several key areas, including education, family support and early childhood programs. She has played a lead role in evidence-based technical assistance projects, national evaluations, systematic evidence reviews and implementation and process evaluations.
Ms. Zukiewicz provides evidence-based technical assistance to human service agencies and local organizations across the country, including technical assistance on the use of rapid-cycle evaluations to test and refine program improvement efforts. Her work in this area has focused on the needs of low-income and vulnerable populations and programs that aim to support them, including Technical Assistance for Needy Families and Workforce programs. She also currently serves as deputy director for the Project Evident technical assistance project, which will provide support to a variety of non-profit organizations through evidence-based technical assistance, rapid cycle analyses and data quality assistance.
In addition, Ms. Zukiewicz has played a lead role in several large-scale, national projects. She has served as task lead on several education studies, including her role as recruitment task lead for the Data-Driven Instruction Study and her role as lead author on the implementation analysis conducted for the Teach For America Investing in Innovation study. Within the area of early childhood, Ms. Zukiewicz currently leads impact reviews conducted under the Home Visiting Evidence of Effectiveness, which identifies evidence-based maternal and infant home visiting programs eligible for federal funding.
Prior to joining Mathematica, Ms. Zukiewicz served as a corps member in Teach For America’s New York City program and also worked as a legislative director at New York City Council. She presents her work at conferences sponsored by the Association for Public Policy Analysis and Management, the Association for Education Finance and Policy, and other organizations. She holds an M.P.A. from New York University.
Project IMPROVE: Improving Program Outcomes Via Evidence-Based Technical Assistance
How Effective Is Home Visiting?
The Home Visiting Evidence of Effectiveness study is a thorough and transparent review of the home visiting research literature and an assessment of the evidence of effectiveness for home visiting programs that serve families with pregnant women and children from birth to age 5.
Feasibility and Conduct of an Implementation and Impact Evaluation to Inform High Quality Data-Driven Instruction (DDI)
Mathematica is conducting an experimental impact evaluation of the effects of data-driven instruction (DDI) on student achievement. This involves the implementation of high quality DDI professional development and estimating its effects on student achievement.