Schedule Version: April 21, 2016

Russell Sage Foundation Summer Institute in Social-Science Genomics Location: Rutgers University Inn and Conference Center, New Brunswick, NJ June 19—July 1, 2016

Organizing Faculty: Dan Benjamin and David Cesarini

Sunday, June 19

20.30 Opening Dinner

Monday, June 20 Visiting Faculty: Dalton Conley, Chris Dawes, James Lee, Michelle Meyer 09.30 – 10.40 Dan 1: Welcome & Camp Outline & Using Genetic Data in 11.00 – 11.50 Dalton: Using Genetic Data in Sociology 11.50 – 12.10, 14.00 – 14.20 Chris: Using Genetic Data in Political Science 14.20 – 15.10 James: Using Genetic Data in Psychology 15.30 – 16.40 Discussion of Problem Set 1 19.00 Dinner & Dinner Discussion: Ethical Uses of Social-Science Genomics

Tuesday, June 21 Visiting Faculty: Colter Mitchell 09.30 – 10.40 David 1: Heritability I—Definition and Interpretation 11.00 – 12.10 David 2: Heritability II—Twin and Adoption Studies 14.00 – 15.10 Colter: Genetic Data and Datasets 15.30 – 16.40 David 3: Heritability III—Molecular Genetic Studies 19.00 Dinner

Wednesday, June 22 Visiting Faculty: Tonu Esko

09.30 – 10.40 Tonu 1: Molecular I—DNA, Meiosis, Mendel’s Laws 11.00 – 12.10 Tonu 2: II—Complex Traits 14.00 – 15.10 Tonu 3: Molecular Genetics III—Gene Expression, Epigenetics 15.30 – 16.40 Discussion of Problem Set 2 17.00 – 18.30 Office Hours 19.00 Dinner

Thursday, June 23 Visiting Faculty: Patrick Turley

09.30 – 10.40 Dan 2: Gene Discovery I—Power, Candidate Genes, GWAS 11.00 – 12.10 Patrick 1: Gene Discovery II—Winner’s Curse 14.00 – 15.10 Patrick 2: Gene Discovery III—Stratification, LD Score Regression 15.30 – 17.00 Question & Answer & Discussion Session 2—Tonu, Patrick 17.00 – 18.30 Office Hours 19.00 Dinner Friday, June 24 Visiting Faculty: Patrick Turley

09.30 – 10.40 Patrick 3: Polygenic Scores 11.00 – 12.10 Patrick 4: Genetic Correlation, Partitioning 15.30 – 16.40 Discussion of Problem Set 3 17.00 – 18.30 Office Hours

Monday, June 27 Visiting Faculty: Jonathan Beauchamp, Patrick Turley

09.30 – 10.40 Jonathan 1: Gene-Environment Interactions 11.00 – 12.10 Jonathan 2: Mendelian Randomization 14.00 – 15.10 Question & Answer & Discussion Session 3—Jonathan, Patrick 15.30 – 18.30 Office Hours 19.00 Dinner

Tuesday, June 28 Visiting Faculty: Kevin Thom

09.30 – 10.40 Kevin 1: Structural Modeling 11.00 – 12.10 Kevin 2: Incorporating Genetic Data into Structural Modeling 14.00 – 15.10 Question & Answer & Discussion Session 4—Kevin 15.30 – 17.00 Discussion of Problem Set 4 19.00 Dinner

Wednesday, June 29 Visiting Faculty: Mark Fontana

09.30 – 10.40 Mark 1: Computing in Social Science Genomics I 11.00 – 12.10 Mark 2: Computing in Social Science Genomics II 14.00 – 15.10 Question & Answer & Discussion Session 5—Mark 15.30 – 17.00 Office Hours 19.00 Dinner

Thursday, June 30 09.30 – 10.40 Dan 3: Going Forth and Doing Research in Social Science Genomics 11.00 – 12.10 David 4: The Future of Social Science Genomics 14.00 – 15.10 Discussion of Problem Set 5 15.30 – 16.40 Question & Answer & Discussion & Wrap-Up—Dan, David 20.00 Good-bye Dinner

Friday, July 1

Any time Departures for the airport arranged individually

2 Faculty Bios

Dan Benjamin (Associate Professor, Center for Economic and Social Research, University of Southern California) and David Cesarini (Assistant Professor, Department of Economics and Center for Experimental Social Science, New York University) are Co-Founders and current Co-Organizers of the Social Science Genetic Association Consortium (SSGAC). Together with the SSGAC, they have conducted genome-wide association studies on educational attainment, subjective well-being, and fertility. As part of these efforts, they helped to develop the methodology of using “proxy phenotypes” available in large samples (such as educational attainment) to discover genetic variants associated with endophenotypes (such as cognitive function). The ongoing work on the SSGAC is continuing to bring cutting-edge methods from medical genomics into social-science genomics, as well as to develop new methods and to study a growing range of phenotypes, including economic preferences. Cesarini has also done work using twin studies methods to estimate the heritability of political attitudes, economic preferences, financial behavior, and behavior in economic games.

Jonathan Beauchamp (Postdoc, Harvard University Economics Department and SSGAC) is a core researcher with the SSGAC. His research focuses primarily on genoeconomics, but he also does work in applied econometrics and .

Dalton Conley (Professor, Sociology Department, New York University, and Visiting Professor, Sociology Department, Princeton University) conducts research on the determinants of economic opportunity within and across generations. In this vein, he has done work on genetic influences on social attainment, genetic assortative mating, gene- environment interactions and methodological issues surrounding these issues. He has, for example, examined genetic assortative mating and its impact on inequality. He has also analyzed the causal relation of genetic and environmental inputs on birth weight and infant mortality, as well as on academic results. He has also interrogated the classical twin model of heritability using molecular data, demonstrated the robustness of GREML to the violation of problematic assumptions that undergird it, and used pedigree data to develop a new method to assess phenotypic plasticity. Since 2011, he has served on the Advisory Board of the SSGAC.

Tonu Esko (Deputy Director of Research, Estonian Genome Center; Visiting Researcher, Broad Institute of Harvard and MIT) is a human geneticist and molecular biologist. He has extensive experience in performing and implementing genetic association studies. His broader scientific interest lies in understanding the genetic architecture of complex human phenotypes (focusing on the role of both rare and common genetic variation and various models of inheritance). Esko is the co-founder of several large-scale research consortia – QTLgen and Ygen – and plays an instrumental role in ROHgen and GIANT. Esko is currently a lead scientist at Estonian Genome Center, University of Tartu, which hosts a biobank of 50,000 individuals. Since 2013, he has served on the Advisory Board of the SSGAC.

Mark Fontana (Postdoc, Center for Economic and Social Research, University of Southern California) is a core researcher with the SSGAC and manager of its data repository. His interests span mobile health, behavioral economics, and genetics, and his expertise lies in

3 implementing large-scale empirical analyses and computing (often called “big data” or “data science”). He is particularly interested in how genetic predispositions mediate the impact of changes in environment (“gene-by-environment” interactions, e.g., between cigarette smoking and relevant taxes) and the genetic underpinnings of risk taking and cognitive function.

James J. Lee (Assistant Professor, Department of Psychology, University of Minnesota Twin Cities) is a differential psychologist specializing in behavioral genetics. Together with the SSGAC, he has conducted genetic association studies of cognitive performance and educational attainment. His research goals include using population-genetic theory and methods to examine evidence of natural selection acting on cognitive abilities over the course of hominid evolution.

Michelle N. Meyer (Assistant Professor and Director of Bioethics Policy, Union Graduate College-Icahn School of Medicine at Mount Sinai Bioethics Program) is a bioethicist and legal scholar who works on the responsible conduct of research, genomics, and the intersection of the two. She has served on the Advisory Board of the SSGAC since 2011 and in that capacity has helped draft accessible FAQs to accompany each major SSGAC publication. In an October 2013 editorial, the editors of highlighted the FAQ that accompanied SSGAC's first, proof-of-concept study, published in Science in June of that year, as an example of best practices in responsible communication of behavioral genetics research that “scientists would do well to follow.” She is also a Director of PersonalGenomes.org, a nonprofit organization created by geneticist George Church to develop novel ways of managing the ethical, legal, and technical aspects of creating open access repositories of highly identifiable human genomic data, as well as a participant (i.e., "research subject") in its Harvard-based Personal Genome Project (PGP). She has served as a consultant on human subjects research ethics to a major multinational corporation, the genomics institute of a major academic medical center, and a major nonprofit biomedical research institution. She also serves on the Union College IRB.

Colter Mitchell (Research Assistant Professor, Survey Research Center, University of Michigan) is the Associate Director of the Bio-social Methods Collaborative and is a Research Affiliate of the Population Studies Center and the Center for Human Growth and Development at the University of Michigan. His research focuses how social context interplays with an individual’s genetic, epigenetic, and neurodevelopment makeup to influence their behavior, wellbeing, and health. His research also includes the development of new methods for integrating the collection and analysis of biological and social data. He has participated in data collection and analyses of biomarkers in multiple population-based studies including: the Fragile Families and Child Wellbeing study, Army STARRS, and the Health and Retirement Study.

Kevin Thom (Clinical Associate Professor, New York University Economics) is an applied microeconomist. Much of his research focuses on formulating and estimating life-cycle models in which the costs or benefits of behaviors unfold over time. Specific applications include immigration, health behaviors such as smoking, and human capital accumulation. His ongoing work seeks to integrate genetic heterogeneity into dynamic models of health behaviors and education, respectively.

4 Patrick Turley (Postdoc, Broad Institute of Harvard and MIT and SSGAC) has been a core researcher with the SSGAC since early 2012. His work focuses primarily on developing and implementing new statistical methods for analyzing genomic data in social science settings. Some of his main contributions have been work in Winner’s Curse corrections, stratification tests, genetic overlap measurement, and polygenic scores (i.e., genetic predictors).

5 Appendix

Preference for admission will be given to applicants likely to use genomic data to advance research in the following RSF priority areas:  Behavioral Economics  Future of Work  Race, Ethnicity, and Immigration  Social Inequality

Examples of methods that Summer Institute attendees will learn:

 Estimating the ACE Model  Estimating GREML  GWAS  Calculating power for GWAS  LD Score regression  Statistical adjustment for the winner’s curse  Methods for estimating polygenic scores

Examples of datasets that Summer Institute attendees will learn about:

 Add Health  Health and Retirement Study  U.K. Biobank

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