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Advanced analytics help school districts balance teen health, costs, and daily operations.
San Francisco, California, 17 December 2025 – For decades, school districts across the United States have faced a difficult challenge: how to delay high school start times without disrupting transportation, staffing, and family routines. Medical experts have long warned that early school start times harm teenagers' sleep, mental health, and academic performance. Yet many districts have struggled to make meaningful changes. A new study published in the journal Management Science shows that advanced data tools may finally offer a practical solution.
Researchers partnered with the San Francisco Unified School District to redesign start times across all 133 schools in the district. Using an interactive analytics and optimization system, the team helped decision makers explore thousands of scheduling options while accounting for real-world constraints such as bus availability, costs, and community preferences. The new schedule, introduced in 2021, shifted high school start times later and reduced annual transportation expenses by more than $5 million.
Turning data into practical decisions
The research team, led by experts from the University of Virginia, Yale University, and Northwestern University, focused on making complex data usable for school leaders. Instead of producing a single “perfect” schedule, the system allowed administrators to adjust priorities and instantly see how different choices affected costs, logistics, and school routines.
This approach gave district leaders greater control and confidence. By testing multiple scenarios, they could find schedules that supported teen health while remaining operationally realistic. The process also helped identify solutions that many stakeholders could accept, even if no single option pleased everyone.
Why later start times matter
Medical organizations such as the American Academy of Pediatrics recommend that high schools begin no earlier than 8:30 a.m. Research consistently links early start times to sleep deprivation, lower academic outcomes, and increased mental health challenges among teenagers. Despite this evidence, districts often delay action due to transportation limits, staffing schedules, and concerns from families.
The San Francisco case showed that these barriers are not always technical. With the right planning tools, districts can align school schedules with adolescent biology without increasing costs or creating chaos.
Community response and operational gains
Following the schedule changes, surveys of nearly 28,000 elementary school families and staff showed majority support for the new system. While not every family received their preferred start time, many appreciated the clearer coordination across schools. The revised schedules also simplified bus routes and made it easier for staff to work across multiple sites.
Beyond student health benefits, the district gained stronger operational efficiency. Transportation planning became more streamlined, and long-term costs were reduced, showing that student well-being and fiscal responsibility can go hand in hand.
A model for schools everywhere
The researchers believe this framework can work for districts of all sizes, both public and private. By involving administrators, transportation teams, teachers, and families early in the process, schools can build schedules that reflect shared priorities.
The study highlights a larger shift in education planning. When data tools are designed to support human decision-making, they can help schools move past long-standing obstacles and focus on what matters most: student health, learning, and sustainable operations.
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