Overview
[AI Summary]: Shane Lin at UVA Scholars’ Lab explores using Monte Carlo simulation to analyze scheduling anxiety for the Praxis fellowship program. Facing budget cuts that will require fellows to teach (reducing available meeting time), Lin uses computational modeling with Python to estimate the probability of finding two 2-hour meeting slots per week given varying student obligations. The simulation reveals a steep drop-off in scheduling success at 8+ hours of fixed obligations per student, providing data-driven insights for program planning.
- Author: Shane Lin
- Date: October 7, 2025
- Institution: UVA Scholars’ Lab
- License: CC-BY 4.0