Agent-based computational modeling (ABM) offers an innovative approach to tackle sociological and demographic puzzles with a unique vantage point that explicates how micro-level interactions may be differentially shaped and constrained by meso-level preconditions in producing macro-level population outcomes.
2017 Dean's Competitive Fund for Promising Scholarship, Harvard University, “An Agent-Based Modeling Approach to Population Dynamics" (with Mary C. Brinton)
Zhou, Yun. “Individual Preference Under Social Constraints: Agent-Based Modeling of Inter-Racial/Ethnic Mate-Search Heuristics” (Population, Revise & Resubmit).
Zhou, Yun and Brinton, Mary C. “Low Fertility in Japan: An Agent-Based Modeling Approach” (Manuscript in preparation).
Presentation Highlights (since 2015)
“Low Fertility in Japan: An Agent-Based Modeling Approach” (with Mary C. Brinton)
2019 Population Association of America Annual Meeting, Austin TX, April 2019
“Individual Preference Under Social Constraints: Agent-Based Modeling of Inter-Racial/Ethnic Mate Search Heuristics”
2018 Population Association of America Annual Meeting, Denver CO, April, 2018.