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At every Convening we celebrate the power of data, but this year we’re tackling the big question: Now What?

How do we transform technological breakthroughs into lasting impact? How do we innovate responsibly while staying ethical? What emerging trends will shape the future, and how do we stay ahead?

Join us as we move beyond possibilities and into the work that truly drives change.
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Supporting Students in their Earliest Years: Innovations at the State and Local Levels
Friday May 9, 2025 10:45am - 12:00pm EDT
TBA
Despite increases in state and local efforts to provide high-quality early care and education (ECE), low attendance, limited access, and lack of workforce supports are persistent barriers. We will hear about three papers that present innovative tools and analytic methods to address critical issues in ECE, including (1) reducing chronic absenteeism, (2) expanding access to public pre-K without disrupting the local ECE market, and (3) building state data and research capacity to support early educators.
Speakers
avatar for Kathryn Gonzalez

Kathryn Gonzalez

Researcher, Mathematica
Kathryn Gonzalez is a researcher at Mathematica. Her work focuses on early childhood programs and policies including those intended to improve program quality, increase access particularly for young children from families with low-incomes, and support the early childhood workforc... Read More →
avatar for Pia Caronongan

Pia Caronongan

Research Associate Professor, Boston University Wheelock Educational Policy Center
Pia Caronongan is a research associate professor at Boston University Wheelock College of Education & Human Development and a faculty affiliate at the Wheelock Educational Policy Center (WEPC). Her work focuses on developing research-based and data-informed policy strategies to support and improve early care and education (ECE) access and quality. She currently leads a partnership with the Massachusetts Department of Early Education and Care focused on building research... Read More →
avatar for Tiffany Wu

Tiffany Wu

PhD Candidate, University of Michigan
Tiffany is currently a PhD candidate in the Combined Program in Education and Psychology (CPEP) at the University of Michigan and pursuing a dual master’s degree in Statistics. She is interested in using causal inference and machine learning methods to help inform the development of effective education interventions and policies. Her research is deeply influenced by her previous work as a public high school teacher in Chicago and then as a research anal... Read More →
Friday May 9, 2025 10:45am - 12:00pm EDT
TBA
  Concurrent Session

Attendees (14)


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