Events
Polygenic Conference
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Past Events
Summer School: Introduction to Genome-Wide Data Analysis
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July 18-22, 2022 in Amsterdam
The goal of the summer school is to introduce researchers from various fields to key concepts, state-of-the-art methods, and computer tools in statistical genetics that can be applied in the social and medical sciences. The course will be highly quantitative and interactive, covering topics such as the estimation and interpretation of heritability using molecular genetic data, genetic association studies, polygenic prediction, and identification strategies to isolate causal effects using genetic insights. It will emphasize methodological issues such as appropriate study design, data integrity, multiple testing, detecting and controlling for potential confounds, as well as factors influencing the accuracy of polygenic scores.
The summer school welcomes (research) master students, PhD students, post-docs, and professionals from various disciplines (e.g. behavioral genetics, economics, medicine, sociology, political sciences, psychology) who are interested in learning state-of-the art methods for genome-wide data analysis. The summer school will attempt to “bridge” specific knowledge gaps that participants from different backgrounds may have. Specifically, social scientists will get a short, formal introduction to genetics, while students from medicine or genetics will benefit from the formal treatment of statistical methods and the discussion of how investigating the genetics of social scientific outcomes may lead to medically relevant insights.
A formal background in statistics or econometrics is required from students (at the level of a first year course in a graduate school PhD program in economics, psychology, or epidemiology), but no formal background in genetics will be assumed. The course is taught in English and will be accessible to students from both in- and outside the Netherlands.
The course will be taught by professors Ronald de Vlaming and Aysu Okbay. Computer tutorials will be given by Hermon Kweon.
For more information and applications, see https://businessdatascience.nl/introduction-to-genome-wide-data-analysis
Summer Institute in Social-Science Genomics
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August 8 - 20, 2021
Sponsored by the Russell Sage Foundation and Co-sponsored with the JPB Foundation
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The two-week Summer Institute in Social-Science Genomics introduced graduate students and beginning faculty in economics, sociology, psychology, statistics, genetics, and other disciplines to the methods of social-science genomics—the analysis of genomic data in social science research. The program included interpretation and estimation of twin and family studies; the biology of genetics, gene expression, and epigenetics; design and analysis of genetic-association studies; analysis of gene-gene and gene-environment interactions; genetic estimation and use of polygenic scores; environmental pathways for genetic associations; ethical issues in social-science genomics; as well as applications of genomic data in the social sciences.
Additional Information
Training Opportunity: Summer Institute in Social Science Genomics
9 - 21 June 2019
Sponsored by the Russell Sage Foundation. Held at the Pepper Tree Inn in Santa Barbara, California.
Application Deadline: February 11, 2019
The purpose of this two-week workshop is to introduce graduate students and beginning faculty in economics, sociology, psychology, statistics, genetics, and other disciplines to the methods of social-science genomics—the analysis of genomic data in social science research. The program will include interpretation and estimation of different concepts of heritability; the biology of genetic inheritance, gene expression, and epigenetics; design and analysis of genetic-association studies; analysis of gene-gene and gene-environment interactions; estimation and use of polygenic scores; as well as applications of genomic data in the social sciences (via the Russell Sage Foundation).
Teaching Course: Introduction in Genome-Wide Data Analysis
22 - 26 July 2019
Tinbergen Institute in Amsterdam, The Netherlands.
Application Deadline: June 22, 2019
The goal of the summer school is to introduce researchers from various fields to key concepts, state-of-the-art methods, and computer tools in statistical genetics that can be applied in the social and medical sciences.
Lecturers: Philipp Koellinger, Ronald de Vlaming
Guest Lecturers: Aysu Okaby, Abdel Abdellaoui, Fleur Meddens
The 2nd Annual Conference on Polygenic Prediction and its Application in Social Science
30 Nov - 1 Dec, 2018
Sponsored by the University of Chicago's Human Capital and Economic Opportunity (HCEO) network. Held at the University of Southern California in Los Angeles.
Organized by Dan Benjamin, David Cesarini, Ciji Davis, and Titus Galama, the conference will bring together social scientists and geneticists to hear about new genetic discoveries, advances in the use of polygenic prediction, and examples of the use of genetic data in social science research. See here for last year’s agenda and recorded talks. We are working on finalizing the schedule and coordinating with invited speakers. But we are pleased to announce that Peter Visscher has agreed to give the keynote address.
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If you would like to attend, please email Chelsea Watson at cwatson.usc@gmail.com. Although we hope to be able to welcome everyone who wishes to attend, the number of conference attendees is limited by the capacity of the conference room. If necessary, priority will be given to those who registered early. There is no conference registration fee, but unfortunately, we have very limited funding available to pay for the travel expenses of non-speakers. That said, students and postdocs who would like to attend but do not have the necessary funds should indicate this in their registration e-mail, and we will try to help to the extent our budget allows it.
Teaching Course: Introduction in Genome-Wide Data Analysis
23 - 27 July 2018
Tinbergen Institute in Amsterdam, The Netherlands.
Application Deadline: June 19, 2018
The goal of the summer school is to introduce researchers from various fields to key concepts, state-of-the-art methods, and computer tools in statistical genetics that can be applied in the social and medical sciences.
Lecturers: Philipp Koellinger, Niels Rietveld
Participants and Admission Requirements
Teaching Course: Big Data Management and Analysis in UNIX
5 - 19 August 2017
Vrije Universiteit Amsterdam Summer School in Amsterdam, The Netherlands.
Application Deadline: May 1, 2017
This course introduces you to the UNIX command line environment, teaches you how to manage large datasets using text processing utilities such as sed and awk, shows the basics of shell scripting (if/else statements, loops, etc.) which you can use to automate analysing your data (for example, using a UNIX version of the freely available statistics program R), and familiarizes you with Git as a version control tool. You also learn how to present your data and results in customized plots and figures.
Lecturers: Aysu Okbay, Richard K. Linnér
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Teaching Course: Introduction in Genome-Wide Data Analysis
17 - 21 July 2017
Tinbergen Institute in Amsterdam, The Netherlands.
Application Deadline: June 21, 2017
The summer school provides students with a structured overview of key concepts and state-of-the-art methods in the new field of genoeconomics.
Lecturers: Philipp Koellinger, Niels Rietveld
Participants and Admission Requirements
Training Opportunity: The Oxford NCRM (National Centre for Research Methods) Summer School
26 - 30 June 2017
Nuffield College, Oxford, United Kingdom
Application Deadline: March 30, 2017
This training opportunity is an introduction to combining social science and molecular genetic research offers graduate students, early career researchers and researchers interested in entering this topic a unique introductory course.
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The programme consists of morning lectures by top scholars in the emerging field of ‘sociogenomics’, including Dalton Conley (Princeton), Ben Domingue (Stanford), Melinda Mills (Oxford), David Steinsaltz (Oxford), Meena Kumari (Essex), Cecilia Lindgren (Oxford). Afternoon lectures consist of hands-on computer lab training by Oxford-based researchers Nicola Barban, Felix Tropf, Stine Møllegaard, Maria Christodoulou, Melissa Smart (Essex), and Yanchun Bao (Essex).
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Training Opportunity: Summer Institute in Social Science Genomics
11 - 23 June 2017
Sponsored by the Russell Sage Foundation. Held at the Pepper Tree Inn in Santa Barbara, California.
Application Deadline: February 13, 2017 at 2pm Eastern Standard Time
The purpose of this two-week workshop is to introduce graduate students and beginning faculty in economics, sociology, psychology, statistics, genetics, and other disciplines to the methods of social-science genomics—the analysis of genomic data in social science research. The program will include interpretation and estimation of different concepts of heritability; the biology of genetic inheritance, gene expression, and epigenetics; design and analysis of genetic-association studies; analysis of gene-gene and gene-environment interactions; estimation and use of polygenic scores; as well as applications of genomic data in the social sciences (via the Russell Sage Foundation).
Polygenic Prediction and its Application in Social Science
13 Apr - 14 Apr, 2017
Sponsored by the Russell Sage Foundation. Held at the Rutgers University Inn and Conference Center in New Brunswick, New Jersey.
Application Deadline: February 12, 2016 at 2pm Eastern Standard Time
See the agenda and videos of the presentations here.
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Training Opportunity: Summer Institute in Social Science Genomics
19 June - 1 July 2016
Sponsored by the Russell Sage Foundation. Held at the Rutgers University Inn and Conference Center in New Brunswick, New Jersey.
Application Deadline: February 12, 2016 at 2pm Eastern Standard Time
The purpose of this two-week workshop is to introduce graduate students and beginning faculty in economics, sociology, psychology, statistics, genetics, and other disciplines to the methods of social-science genomics—the analysis of genomic data in social science research. The program will include interpretation and estimation of different concepts of heritability; the biology of genetic inheritance, gene expression, and epigenetics; design and analysis of genetic-association studies; analysis of gene-gene and gene-environment interactions; estimation and use of polygenic scores; as well as applications of genomic data in the social sciences (via the Russell Sage Foundation).
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Teaching Course: Genome-Wide Data Analysis Summer School
11-15 July 2016
Tinbergen Institute in Amsterdam, The Netherlands.
Application Deadline: May 13, 2016
The summer school provides students with a structured overview of key concepts and state-of-the-art methods in the new field of genoeconomics.
Lecturers: Philipp Koellinger, Niels Rietveld
Teaching Course: PhD class in "Genoeconomics"
April 2015
Tinbergen Institute in Amsterdam, The Netherlands.
Lecturers: Daniel Benjamin, David Cesarini, Tonu Esko, Philipp Koellinger (coordinator), and Niels Rietveld.
Note: A limited number of scholarships are available for non-TI students to cover tuition expenses and travel costs (see syllabus).
Course syllabus
Workshop: 4th meeting of the SSGAC in Rotterdam, Netherlands
15 June 2013
The workshop was again organized in conjunction with the CHARGE meeting and was hosted at the Mainport Hotel.
Bio-session package (including important references)
Workshop: 3rd meeting of the SSGAC in Reykjavik, Iceland
19 May 2012
The workshop was organized in conjunction with the bi-annual CHARGE meeting and was hosted by the Hilton Nordica Hotel. The NIH (OBSSR) and the NSF sponsored the event.
Slides of the talks are available here.
Workshop: 2nd meeting of the SSGAC in Los Angeles
29 October 2011
The workshop was organized in conjunction with the CHARGE meeting in Los Angeles, CA, at the Crowne Plaza Redondo Beach and Marina Hotel. The NIH (OBSSR) and the NSF-sponsored the event.
Slides of the talks are available here.
Workshop: 1st meeting of the SSGAC in Boston
12 February 2011
In this first workshop, the need and the feasibility of setting up a consortium for GWAS in the social sciences was
discussed. This first workshop was sponsored by the NSF and was organized in conjunction with the CHARGE
consortium.
Slides of the talks are available here.