主题：Using Genetics to Do Social Science

主讲人：Dalton Conley（普林斯顿大学亨利·普特南社会学讲席教授）

时间：2021年4月16日9:30-11:00

工作语言：英文（zoom线上会议）

主办单位：北京大学社会研究中心 北京大学社会科学学部

Dalton Conley is the Henry Putnam University Professor in Sociology and a faculty affiliate at the Office of Population Research and the Center for Health and Wellbeing. He is also a Research Associate at the National Bureau of Economic Research (NBER), and in a pro bono capacity he serves as Dean of Health Sciences for the University of the People, a tuition-free, accredited, online college committed to expanding access to higher education.

Conley’s scholarship has primarily dealt with the intergenerational transmission of socioeconomic and health status from parents to children. He earned a M.P.A. in Public Policy (1992) and a Ph.D. in Sociology (1996) from Columbia University, and a Ph.D. in Biology from NYU in 2014. His books includeBeing Black,Living in the Red;The Starting Gate;Honky;The Pecking Order;You May Ask Yourself;Elsewhere, USA;Parentology; andThe Genome Factor. He has been the recipient of Guggenheim, Robert Wood Johnson Foundation and Russell Sage Foundation fellowships as well as a CAREER Award and the Alan T. Waterman Award from the National Science Foundation. He is an elected fellow of the American Academy of Arts and Sciences and the American Association for the Advancement of Science and an elected member of the National Academy of Sciences.

The cost of genetic information has been dropping at a rate faster than Moore's law in microcomputing. As a result, the science of genetic prediction has improved by leaps and bounds in recent years and with it has emerged a novel field: sociogenomics. Sociogenomics seeks to integrate genetic and environmental information to obtain a more robust, complete picture of the causes of human behavior as well as novel ways to answer old sociological questions. This talk will highlight some recent examples of sociogenomic research, touching upon issues such as adolescent peer effects, racial discrimination, and within-family effects. The talk will conclude by discussing the social and policy implications of genetic prediction.