Agent-based college admissions simulation research: algorithms, data, behavioral models, and Kaggle dataset analyses.
High-level syntheses and key findings across all research.
Agent rules, scoring algorithms, and technical implementation of the ABM.
College admissions data, academic index formulas, yield management, and institutional statistics.
Student archetypes, feeder school effects, extracurriculars, and high school distributions.
How students choose colleges, build lists, and respond to financial aid.
Gale-Shapley algorithm, stable matching theory, and parallels to school choice.
College consulting firms, their business models, school targeting lists, and market dynamics.
Research profiles for the 30 colleges in the simulation: HYPSM, Ivy+, Near-Ivy, Selective, and Top LACs — with admissions data, ED/EA strategy, demographics, and financial aid.
Structured research profiles for 63 additional colleges: elite privates, UC/state flagships, and liberal arts colleges not yet in the simulation.
Survey results and key findings from 14 Kaggle datasets on college admissions.