Eun Kyong SHIN is an assistant professor in the department of sociology at Korea University. As a social scientist with a PhD in Sociology (2015, Columbia University), and who additionally trained as a postdoc at Columbia Law School and the UT Medical School, her investigations weave through multiple disciplines. Bringing unconventional data sources to various sociological investigations, the overarching goal is to gain better understanding of how relational networks and social conditions influence social behaviors, health outcomes and human development. Methodologically, she uses multiple analytical tools, including social network analysis, statistics, GIS, and machine learning. She offers Social Network Analysis course (Fall), Data Science & Sociology (Spring) and Data Science and Artificial Intelligence (Spring).
Research Projects
- Network disruption effects on Korean comport women’s life trajectory
- Sociomarkers & Neural Network
- COVID-19 Infodemic
2022 Development of XAI-based Bio-Socio complex data analysis and reasoning technology (Co-Investigator), Ministry of Science and Technology Information and Communication, South Korea
2021 Diversity & Performance based AI Curriculum Network Recommendation System (PI), KU
2021 Humanistic Imagination Meets AI for Reflective Data Science (PI), Korea University South Korea
2020 Social Determinants of Pain among Breast Cancer Patients (PI), Korea University South Korea
2019 Integrated Contagion Studies (Co-Investigator), National Research Foundation of Korea South Korea
2019 Research Grant for Morphology of Resistance (PI), Korea University South Korea
2018 Social Component of Health (Co-Investigator) , Children’s Foundation in Memphis, TN, USA
- Network disruption effects on Korean comport women’s life trajectory
- Sociomarkers & Neural Network
- COVID-19 Infodemic
2022 Development of XAI-based Bio-Socio complex data analysis and reasoning technology (Co-Investigator), Ministry of Science and Technology Information and Communication, South Korea
2021 Diversity & Performance based AI Curriculum Network Recommendation System (PI), KU
2021 Humanistic Imagination Meets AI for Reflective Data Science (PI), Korea University South Korea
2020 Social Determinants of Pain among Breast Cancer Patients (PI), Korea University South Korea
2019 Integrated Contagion Studies (Co-Investigator), National Research Foundation of Korea South Korea
2019 Research Grant for Morphology of Resistance (PI), Korea University South Korea
2018 Social Component of Health (Co-Investigator) , Children’s Foundation in Memphis, TN, USA
Awards
2022 Best Teaching Award, Data Science & Sociology, Korea University Seoul, Korea
2021 Excellence in Teaching Award , Data Science & Artificial Intelligence, Korea University Seoul, Korea
2021 Best Teaching Award, Data Science & Sociology, Korea University Seoul, Korea
2021 Best Teaching Award, Social Network Analysis, Korea University Seoul, Korea
2020 Excellence in Teaching Award, Data Science & Sociology, Korea University Seoul, Korea
2019 Excellence in Teaching Award, Social Network Analysis, Korea University Seoul, Korea
2019 Future of Science Fund Scholarship: Digital Health, Keystone Symposia
2019 Outstanding Postdoctoral Fellow Award, School of Medicine, UTHSC TN, USA
2019 Marvin Zelen Memorial Symposium 3rd Prize, Dana-Farber Cancer Institute, Harvard Medical School, MA, USA
2022 Best Teaching Award, Data Science & Sociology, Korea University Seoul, Korea
2021 Excellence in Teaching Award , Data Science & Artificial Intelligence, Korea University Seoul, Korea
2021 Best Teaching Award, Data Science & Sociology, Korea University Seoul, Korea
2021 Best Teaching Award, Social Network Analysis, Korea University Seoul, Korea
2020 Excellence in Teaching Award, Data Science & Sociology, Korea University Seoul, Korea
2019 Excellence in Teaching Award, Social Network Analysis, Korea University Seoul, Korea
2019 Future of Science Fund Scholarship: Digital Health, Keystone Symposia
2019 Outstanding Postdoctoral Fellow Award, School of Medicine, UTHSC TN, USA
2019 Marvin Zelen Memorial Symposium 3rd Prize, Dana-Farber Cancer Institute, Harvard Medical School, MA, USA