경력사항
▣ 주 요 경 력
목원대학교 마케팅빅데이터학과 학과장(2024.08-)
목원대학교 지방대학활성화사업추진단장 (2024.03-)
보건복지부 보건복지통계위원회 위원 (2024.03-)
대전광역시 데이터기반행정활성화위원회 위원 (2023.11-)
통계청 인구주택총조사 자문위원(2023.06-)
목원대학교 마케팅빅데이터학과 부교수 (2023.03-)
기초과학연구원 초빙연구위원 (2023.01-)
한국자료분석학회 이사 (2022.01-)
한국인구학회 총무이사 (2022.01-2023.12)
대전광역시 서구 빅데이터위원회 위원 (2021.10-)
대전광역시 빅데이터위원회 위원 (2019.05-2023.05)
통계청 정보공개심의회 위원 (2019.05-2023.04)
목원대학교 마케팅빅데이터학과 학과장 (2018.09-2023.02)
대전광역시 정보화추진위원회 위원 (2018.05-2022.05)
경기도 빅데이터위원회 위원 (2017.12-2019.12)
목원대학교 교육수요자만족도위원회 부위원장 (2017.12-2019.12)
목원대학교 마케팅빅데이터학과 조교수 (2017-2023)
고려대학교 응용통계학과 초빙교수 (2014-2016)
고려대학교 통계연구소 연구교수 (2010-2014)
University of Washington, Seattle, Research Scholar (2007-2008)
▣ 수행 중 연구 과제
● 2022-2025년 NRF 개인기초연구 기본연구 「혼합형 다차원 경시적 자료에 대한 다변량 잠재범주모형 연구」(한국연구재단, 전새봄)
▣ 완료된 연구 과제
● 2022년 통계품질개선컨설팅「여성농업인실태조사」(통계청, 전새봄 외, 2022.8)
● 2021년 정기통계품질진단「국내인구이동통계」(통계청, 전새봄 외, 2021.11)
● 2021년 정기통계품질진단「지식서비스산업실태조사」(통계청, 전새봄 외, 2021.11)
● 2020년 정기통계품질진단「인구동향조사」(통계청, 전새봄 외, 2020.11)
● 2020년 정기통계품질진단「북한이탈주민실태조사」(통계청, 전새봄 외, 2020.11)
● 2020년 세종특별자치시 인구정책 기본계획 수립연구 (세종특별자치시 사회서비스원, 정윤태 외, 2020.12)
● 2020년 통계청 장래가구추계 추계모형 개선방안 연구 (통계청, 김기환 외, 2020.12)
● 2017-2020년 NRF 개인기초연구 생애첫연구 (한국연구재단, 전새봄, 2021.2)
● 2017년 통계청 공공-민간 데이터연계 등 빅데이터 품질관리방안 연구 (통계청, 이성건 외, 2017.12)
● 2017년 전남 섬 복지실태 및 욕구조사 연구 – 표본설계 담당(전남복지재단, 2017.12)
● 2016년 통계청 장래가구추계 방법 개선을 위한 심층연구 (통계청, 김기환 외, 2016.12)
● 2022년 정기통계품질진단「정보보호산업실태조사」(통계청, 전새봄 외, 2022.11예정)
● 2022년 정기통계품질진단「중소기업정보화수준조사」(통계청, 전새봄 외, 2022.11예정)
● 2022-2025년 NRF 개인기초연구 기본연구 (한국연구재단, 전새봄, ~2025.2 종료예정)
● 2020-2023년 NRF 개인기초연구 기본연구 (한국연구재단, 전새봄, ~2023.2 종료예정)
● 2023년 가구유형 및 가구원수별 추계가구 작성방법 연구 (통계청, 전새봄 외, 2023.12)
▣ 논문 발표 실적
● Jeon, S.* and Kwon. T. (2024) N-point Modified Exponential Model for Household Projections in Korea using Multi-point Register-based Census Data, Communications for Statistical Applications and Methods, In press.
● Jo, H., Lim, M., Jeon, H. Ahn, J., Jeon, S., Kim, J., Chung, S. (2024) Data-driven Shortened Insomnia Severity Index: A Machine Learning Approach, Sleep Breath. https://doi.org/10.1007/s11325-024-03037-w
● Jo, H., Jeon, H., Ahn, J., Jeon, S.*, Kim, J., and Chung, S. (2024) Dysfunctional Beliefs and Attitude about Sleep-6 (DBAS-6): Data-driven Shortened version from A Machine Learning Approach, Sleep Medicine, 119, 312-318. https://doi.org/10.1016/j.sleep.2024.04.027
● Kim, K., and Jeon, S.* (2024) 센서스 변화와 혼인상태 전이율 전망에 대한 연구, 한국인구학, 47(1), 1-18.
● A. Cho, Y. Song, S. Jeon, J.K. Kim, S. Chung, Y. Ahn, S. Suh (2024). Prediction of Daytime Sleepiness Risk in Shift Working Firefighters using a Machine Learning Model, Sleep Medicine, 115(1), 123-124. https://doi.org/10.1016/j.sleep.2023.11.360
● Kim, J., and Jeon, S.* (2023) 국민건강보험 빅데이터를 이용한 한국의 세대 간 소득이동성 연구, Journal of the Korean Data Analysis Society, 25(6), 2171-2186. https://doi.org/10.37727/jkdas.2023.25.6.2171
● Kim, K., and Jeon, S.* (2022). A Study on the Health Adjusted Life Expectancy in Korea using Microdata of National Health Insurance Service, Korea Journal of Population Studies, 45(4), 25-42.
● Kim, Y., Jeon, S., Chang, C., and Chung, H. (2022). glca: An R Package for Estimating a Group-Effect in Latent Class Analysis, Applied Psychological Measurement, 46(5), 439-441, https://doi.org/10.1177/01466216221084197
● Jeon, S.*, Seo, T., and Chung, H. (2022). Latent Class Profile Analysis for Repeatedly Measured Multiple Latent Class Variables, Multivariate Behavioral Research, 57(2-3), 341-355, https://doi.org/10.1080/00273171.2020.1848515
● Lee, J., Chung, H. and Jeon, S.* (2021). Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use, Computational Statistics and Data Analysis, 161, 107261, https://doi.org/10.1016/j.csda.2021.107261
● Kim, E., Chung, H. and Jeon, S.* (2020). Joint latent class analysis for longitudinal data: an application on the adolescent emotional well-being, Communications for Statistical Applications and Methods, 27(2), 241-254. https://doi.org/10.29220/CSAM.2020.27.2.241
● Kim, S., Jeon, S. and Kim, D. (2020). On log-linear Modeling for an Incomplete Two-way Contingency Table with One Variable Subject to Nonresponse, Communications in Statistics - Simulation and Computation, 49(4), 973-988. https://doi.org/10.1080/03610918.2018.1490427
● Jeon, S.*, Shin, J., Yee, J., Park, T. and Park, M. (2019). Structural equation modeling for hypertension and type 2 diabetes based on multiple SNPs and multiple phenotypes. PLoS ONE 14(9): e0217189. https://doi.org/10.1371/journal.pone.0217189
● Jeon, S.*, Kwon, T. and Park, Y. (2019). Variable-based missing mechanism for an incomplete contingency table with unit missingness, Statistics and Probability Letters, 146, 90-96. https://doi.org/10.1016/j.spl.2018.11.006
● Park, Y., Jeon, S. and Kwon, T. (2018). A Sample Size Calibration Approach for the P-value Problem in Huge Samples, Communications for Statistical Applications and Methods, 25(5), 1-13. https://doi.org/10.29220/CSAM.2018.25.5.545
● Kim, S., Kim, K., and Jeon., S.* (2018). Heuristic Li-Lee Model for Long-term Prediction of Regional Headship Rate, Journal of the Korean Data Analysis Society, 20(2B), 657-668.
● Cho, Y., Kim, K., Jeon, S. and Kim, S. (2018). A Study on Adjustment of Transition Rates between Marital Status, Journal of the Korean Data Analysis Society, 20(1B), 137-146.
● Cho, Y., Kim, K., Kim, S. and Jeon, S.* (2018). Heuristic Lee-Carter Model for Long-term Marital Rate Prediction, Journal of the Korean Data Analysis Society, 20(1B), 125-136.
● Jeon, S.*, Lee, J., Anthony, J. C. and Chung, H. (2017). Latent Class Analysis for Multiple Discrete Latent Variables: A Study on the Association Between Violent Behavior and Drug-Using Behaviors, Structural Equation Modeling: A Multidisciplinary Journal, 24(6), 911-925. https://doi.org/10.1080/10705511.2017.1340844
● Kim, S. and Jeon, S. * (2017). Prediction of age-specific cancer mortality by using multinomial time series model, International Journal of Advanced Research in Computer and Communication Engineering, 6(8), 244-247.
● Kim, S. and Jeon, S.* (2017). Forecast of Property Crimes Considering Co-integration and Economic Factors, Journal of the Korean Data Analysis Society, 19(4B), 1865-1876.
● Jeon, S.* and Kim, S. (2017). A Study on Model Selection for Unknown Motive Estimation in Incomplete Three-way Contingency Table, Journal of the Korean Data Analysis Society, 19(4B), 1853-1864.
● Lee, C., Jeon, S. and Kim, K. (2017). A Study on the Predictive Model of Internal Migration, Journal of the Korean Data Analysis Society, 19(1B), 159-173.
● Kwon, T. and Jeon, S.* (2016). A study on the Violent Crime and Control Factors in Korea, Journal of the Korean Data and Information Science Society, 27(6), 1511-1523.
● Lee, Y., Jeon, S. and Park, Y. (2016). Stochastic Traffic Congestion Evaluation of Korean Highway Traffic Information System with Structural Changes, Asia Pacific Journal of Information Systems, 26(3), 427-448.
● Jeon, S.*, Chang, W. and Park, Y. (2016). An Option Pricing Model using High Frequency Data, Procedia Computer Science, 91, 175 – 179. https://doi.org/10.1016/j.procs.2016.07.035
● Jeon, S.* and Park, Y. (2016). A New Imputation Method to Improve Election Prediction: From Exit Polls of the 19th General Election, The Korean Association for Survey Research, 17(3), 25-51.
● Jeon, S.*, Kim, K. and Hwang, M. J. (2015). A Forecast of Total Fertility Rate Reflecting Spectrum Period and Structural Change, Statistical Journal, 20(3), 51-70.
● Park, Y. and Jeon, S. *(2015). A Study on the Population Structure and Aging of Reunified Korea, Development and Society, 44(3), 411-433. https://www.jstor.org/stable/deveandsoci.44.3.411
● Kim, K., Choe, S. and Jeon, S.* (2015). A Study on Modeling of First Marriage, Divorce and Remarriage, Journal of the Korean Data Analysis Society, 17(5B), 2447-2459.
● Park, Y., Jeong, M. and Jeon, S.* (2015). How to Maintain the Financial Stability and Adequacy of Teachers Pension, The Korean Journal of Applied Statistics, 28(4), 643-661.
● Kim, K. and Jeon, S.* (2015). Scenario Analysis of Fertility in Korea using the Fertility Rate Prediction Model, The Korean Journal of Applied Statistics, 28(4), 685-701.
● Jeon, S.*, Kim, S. and Park, Y. (2015). Rejoinder: A Study on the Population Structure of Democratic People’s Republic of Korea, Communications for Statistical Applications and Methods, 22(1), 23-29.
● Jeon, S.*, Kim, S. and Park, Y. (2015). A Study on the Population Structure of Democratic People’s Republic of Korea, Communications for Statistical Applications and Methods, 22(1), 1-10.
● Jeon, S.*, Lee, S. and Park, Y. (2014). A Study on the Nonresponse Mechanism and Imputation for the Exit Poll: The Application of Exit Polls of the 19th Assembly Election, The Korean Association for Survey Research, 15(3), 61-83.
● Park, Y., Jeon, S. and Kim, S. (2012). Sensitivity Analysis for the Sustainability of the National Pension: Changes of Demographical, Institutional, Economic Factors, The Korean Association for Survey Research, 13(3), 137-157.
● Park, Y., Jeon, S., Kim, S. and Kim, S. (2012). On the Reliability of a National Pension Projection, The Korean Association for Survey Research, 13(2), 129-154.
● Jeon, S.*, Kim, S. and Park, Y. (2012). Quality Evaluation for Census and Vital Statistics of Korea Using Demographic Analysis, The Korean Association for Survey Research, 13(1), 1-31.
● Jeon, S.* and Park, Y. (2011). A Stochastic Approach to Traffic Network Performance Index, Journal of The Korean Data Analysis Society, 13(1B), 207-219.
● Park, Y. and Jeon, S.* (2010). A Study on the Queueing Process with Dynamic Structure for Speed-Flow-Density Diagram, The Korean Journal of Applied Statistics, 23(6), 1-12.
● Jeon, S.*, Choi, B. and Kim, S. (2009). Pattern Classification of Time-series Data using Spectrum Analysis, Journal of the Korean Data Analysis Society, 11(1B), 349-359.
*contributed as first/corresponding author
▣ 저서 실적:
● Choi, J. and Jeon, S. (2013). 설문조사 처음에서 끝까지, 자유아카데미.
● Choi, J., Jeon, S. and Jin, S. (2007). JMP를 이용한 주성분분석/인자분석, 교우사.