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Yoosik Youm

[Current positions]
Underwood Distinguished Professor. Yonsei University
Full Professor of Sociology at Yonsei University

2021 - 2026 Director. Yonsei Signature Research Cluster of Sociology.
2018 - 2021 Underwood Distinguished Professor. Yonsei University 
2018 -         Editorial Board Member for "Scientific Reports"
2013 -         Director. Center for Interdisciplinary Approaches to Aging at Institute of Convergence Science. Yonsei University.
2011 - 2021 Director. Korean Social Life, Health, and Aging Project. (KSHAP)
2021 -         Director. A Korean Study of Adolescent Health (KSAH)


[Previous positions]
2013 - 2021 Director. Brain Korea 21 Plus Project at Sociology department at Yonsei University
2010 Visiting Scholar. Research Institute of Economy, Trade, and Industry. Tokyo, Japan
2010, 2014 Visiting Scholar. Center on Aging at National Opinion Research Center. The University of Chicago
2005 - 2014 Affiliated Professor of Sociology. The University of Illinois at Chicago
2005 - 2014 Advanced Researcher. Institute for Health Research and Policy at the University of Illinois at Chicago
2000 - 2005 Assistant Professor of Sociology. The University of Illinois at Chicago
2002 Visiting Scholar. Sociology department. Utrecht University, Netherlands

[Education]
1984 - 1987 B.A. Business administration. Yonsei University, South Korea
1988 - 1990 M.A. Business administration. Yonsei University, South Korea
1993 - 2000 Ph.D. Sociology. The University of Chicago, USA

[Awards]
1993 - 1996 Trustee Fellowship. The University of Chicago
2007  Excellence Award for Teaching. Yonsei University
2012  Excellence Award in Basic Research in Humanities and Social Sciences. Ministry of Education, Science, and Technology of Republic of Korea
2018  Excellence Award for Research Papers. Yonsei University
2018  50 Best Research Award. Ministry of Education of Republic of Korea
2018 - 2021 Underwood Distinguished Professorship. Yonsei University 
2021 Gallup Excellent Paper Award for the paper, "Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village." Proceedings of the National Academy of Sciences. Gallup Korea and the Korean Association for Survey Research.


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