Working Group

Integrating Evolutionary Models of Human Fertility Change

PI(s): Mary Shenk (University of Missouri (Columbia,MO))
Daniel Hruschka (Arizona State University)
Rebecca Sear (London School of Hygiene and Tropical Medicine)
Start Date: 1-May-2013
End Date: 15-Nov-2014
Keywords: behavior, computational modeling, cultural evolution, ecology, life histories

In the last two decades, models from evolutionary biology have made important contributions to demographic research on human fertility change. Within this evolutionary framework, two distinct traditions have focused on different processes of adaptation and time scales of change: (1) behavioral ecological perspectives have focused on how individual fertility decisions are shaped by local ecological circumstances, while (2) cultural evolutionary approaches have emphasized the role of socially transmitted information and changing social norms in shaping fertility behavior. While each tradition has made independent progress, research that integrates these approaches is necessary to improve our understanding of real fertility behavior, which results from a feedback between individual fertility decisions and social change. This approach requires combined attention to immediate ecological determinants of fertility decisions as well as the long-term processes that shape costs and benefits in a given environment. This workshop will bring together an international team of evolutionary behavioral scientists with complementary methodological and theoretical expertise in anthropology, psychology, and demography to develop (a) a synthetic article which proposes how these approaches can be integrated methodologically and theoretically, (b) an empirical article which applies our new synthetic framework to the study of fertility change in a particular fieldsite, demonstrating how the new methodological approach will work in practice and what we can learn through employing it, and (c) a multi-site grant proposal (UK, US, Bangladesh, Ethiopia, Bolivia, Poland) aimed at integrating and empirically testing these diverse evolutionary models of human fertility change.