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Michael L. Chrzan
A Sandbox for Hard Choices: Using Simulation to Explore School Closure Scenarios and Their Consequences
Topics: Policy, Politics, and GovernanceSchool closures are often justified through seemingly neutral criteria such as enrollment or performance, but these metrics can unintentionally deepen educational disparities. This study uses a large urban district’s administrative data to simulate 5,040 closure scenarios, systematically varying… more →
The Language of Closure: Examining Racial Differences in How A Community Discusses School Closure Metrics
Topics: Policy, Politics, and GovernanceSchool closures in urban districts disproportionately affect marginalized communities, yet community input often goes unanalyzed or is reduced to simple frequency counts. This study applies BERTopic, a neural topic modeling approach, to analyze 4,159 suggestions from 2,006 community members… more →
Deeper Roots Before the Storm: Utilizing Machine Learning to Alert School Districts of Permanent School Closures
Topics: Policy, Politics, and GovernanceThe increasing rate of permanent school closures in U.S. public school districts presents unprecedented challenges for administrators and communities alike. This study develops an early-warning indicator model to predict mass closure events - defined as a district closing at least 10% of its… more →