Computational Social Sciences Workshop: Understanding Demographic Changes with Theory-driven Computational Approach The Case of Fertility Response to the Pandemic

Speaker: Prof. Xinguang FAN, Assistant Professor, Department of Sociology, Peking University

Date: 18 April 2024 (Thu)

Time: 12:30 – 14:00

Venue: E21B-G016

Language: English

Register: https://forms.gle/T93aFK8YX6NRdbXf9

Abstract:

The COVID-19 pandemic has potential large-scale impacts on population dynamics. Yet, recent theories and empirical analyses fall short in fully articulating the extent and nature of the pandemic’s influence on birth rates at the aggregate level. This study advances the comprehension of fertility dynamics amid the pandemic by focusing on the reproductive process. Combining the computational approach and empirical analysis, the research dissects the nuances of fertility behavior in response to the pandemic. The findings illustrate the importance of taking the reproductive process into account to understand the fertility responses to disaster events and dramatic policy changes.

For participants who have registered and attended the seminar, Smart Point / CS will be given as “Knowledge Integration”.

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