신은경 (Shin, Eun Kyong)
- 직위
- 부교수, 학과장
- 전화번호
- 02-3290-2089
- 연구분야
- 사회연결망분석, 데이터사이언스
- 사무실
- 문과대서관 119호
- 이메일
- eunshin@korea.ac.kr
학력
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*Ph.D. Sociology 2015 Columbia University *M.A. Sociology 2007 Korea University *B.A. Sociology 2004 Korea University, Magna Cum Laude, Early & Honored
경력 및 수상
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<경력> *Postdoctoral Fellow, School of Medicine, University of Tennessee Health Science Center (2016-2019) *Postdoctoral Research Scholar in the Faculty of Law, Columbia Law School (2015-2016) <수상 내역> *Outstanding Postdoctoral Fellow Award, School of Medicine, University of Tennessee Health Science Center, USA 2019 *Marvin Zelen Memorial Symposium 3rd Prize, Data Science in Biomedical Research Dana-Farber Cancer Institute, Harvard Medical School, USA, 2019 *Best Student Paper Award, Korean Sociologists in America Conference, USA 2014 *Best Student Paper Award, UK Social Network Analysis Annual Meeting, UK, 2011 *Dean’s Commendation, University of Queensland, Australia, 2006 *High Honor Award, Korea University, Korea, 2001-2004
학부,대학원 담당과목
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<학부> Social Network Analysis, Data Science & Sociology, 데이터과학과 인공지능 <대학원> Social Network Analysis, Data Science & Sociology
북챕터
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Shin EK, Shaban-Nejad A, “Public Health Intelligence and the Internet: Current State of the Art,” In: Shaban-Nejad A, Brownstein J, Buckeridge D. (eds) Public Health Intelligence and the Internet. Lecture Notes in Social Networks. Springer, Cham. 2017. 1-17. Shaban-Nejad A, Rishi K, Shin EK, Akbilgic O, ”Health Intelligence” Book Chapter 6 in: Feng, DD. (ed) Biomedical Information Technology 2nd Edition, Academic Press (Forthcoming)
연구논문
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1.Shin EK, HY Choi, N. Hayes. “The anatomy of COVID-19 comorbidity networks among hospitalized Korean patients,” Epidemiology and Health, 2021. 2.Park, GS, Bae, JT, Lee, JH, Yun, BY, Lee BH, and Shin EK, Integrated Infodemic Surveillance System: The Case of COVID-19 in South Korea. Studies in Health Technology and Informatics, 281, pp.1036-1040, 2021. 3.Akbilgic,OShinEK,A.Shaban-Nejad.“ADataScienceApproachtoAnalyzetheAssociationofSocioeconomic and Environmental Conditions with Disparities in Pediatric Surgery,” Frontiers in Pediatrics, 2021. 4.Lee, B., Jeong, H., Shin EK.“On-line (TweetNet) and Off-line (EpiNet): The Distinctive Structures of the Infec- tious,” Explainable AI in Healthcare and Medicine. Springer, Cham, 2020, 187-194. 5.Shin EK, JH Lee. “Evidence-based Health Intelligence with Globally Localized Epidemic Knowledge Base: Merging Pathological Data, Socio-environmental Data and Intervention Knowledge Data,” Studies in Health Technology and Informatics, 2020, 272:17-20. 6.Shin EK, Kwon Y, Shaban-Nejad A, “Geo-Clustered Chronic Affinity: Pathways from Socio-economic Disad- vantages to Health Disparities,” JAMIA Open, 2019, ooz029. 7.ShinEK,Shaban-NejadA,“AppliedNetworkScienceforRelationalChronicDiseaseSurveillance,”Studiesin health technology and informatics, 2019, 262: 336-339. 8.BrenasJH,ShinEK,Shaban-NejadA,“AHybridRecommenderSystemtoGuideAssessmentandSurveillance of Adverse Childhood Experiences,” Studies in health technology and informatics, 2019, 262:332-335. 9.Brenas JH, Shin EK, Shaban-Nejad A, “Adverse Childhood Experiences Ontology for Mental Health Surveil- lance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques,” JMIR Ment Health, 2019;6(5):e13498. Honorable Mention in Best paper selection for the IMIA Yearbook of Medical Informatics 2020 10.ShinEK,LeWinnK,BushN,TylavskyF,DavisR,Shaban-NejadA,“AssociationofMaternalSocialRelationships with Cognitive Development in Early Childhood,” JAMA Network, 2019, 2(1). 1-9. 11.Brenas JH, Shin EK, Shaban-Nejad A, “An Ontological Framework to Improve Surveillance of Adverse Child- hood Experiences (ACEs),” Studies in health technology and informatics, 2019, 258:31-5. 12.ShinEK,MahajanR,AkbilgicO,Shaban-NejadA,“SociomarkersandBiomarkers:PredictiveModelinginIden- tifying Pediatric Asthma Patients at Risk of Hospital Revisiting,” Nature Digital Medicine, 2018, 1(50). 1-5. 13.Shin EK, Shaban-Nejad, A, “Urban Decay and Pediatric Asthma Prevalence in Memphis, Tennessee: Urban Data Integration for Efficient Population Health Surveillance,” IEEE Access, 2018, 6:46281-46289. 14.ShinEK,Shaban-NejadA,“Geo-distinctiveComorbidityNetworksofPediatricAsthma,”Studiesinhealthtech- nology and informatics, 2018, 247:436-440. 15.Mahajan R, Shin EK, Shaban-Nejad A, Langham M, Martin M, Davis R, Akbilgic O, “Disparities in Population- Level Socio-economic Factors are Associated with Disparities in Preoperative Clinical Risk Factors in Children,” Studies in health technology and informatics, 2018, 255:80-84. 16.Shaban-Nejad A, Okhmatovskaia A, Shin EK, Davis RL, Franklin BE, Buckeridge DL. “A Semantic Framework for Logical Cross-Validation, Evaluation and Impact Analyses of Population Health Interventions,” Studies in health technology and informatics, 2017, 235:481-485.