Biography
Dr. Juyoung Song, associate professor of criminal justice at Penn State Schuylkill, earned her bachelor's and master's degrees from the College of Law at Hanyang University in Seoul, Korea, and then obtained her doctorate degree in criminal justice from Michigan State University. Career appointments have included an assistant professor at the University of West Georgia, and an associate researcher at the Korean Institute of Criminology.
Song has presented at numerous national and international conferences. In 2017, she presented at the International Conference on Governance, Crime, and Justice Statistics Program in Lima, Peru invited by UNODC and INEGI. In 2014, she presented at the United Nations Crime Prevention and Criminal Justice Programme Network in Vienna. Dr. Song presented at criminological conferences located in the United States and big data conferences internationally. She has also presented results of her research on "Big Data and Machine Learning".
She has published several articles on cyberbullying and underage prostitution, as well as juvenile delinquency in the International Journal of Offender Therapy and Comparative Criminology, Journal of Criminal Justice, and other peer-reviewed journals. She published five books about big data analysis (in Korean) and is currently working on her latest manuscript in English.
Song’s teaching interests and experience include courses on qualitative/quantitative research methods, statistics, comparative criminal justice/criminology, and juvenile delinquency.
Grants and Awards
- 2022-2023 Research and Development Grant, Pennsylvania State University
- 2020-2023 "Theoretical and empirical reexamination of adolescent delinquency in the fourth industrial revolution society: With big data and artificial intelligence," National Research Foundation of Korea. (NRF-2020S1A5A2A03045529) ($300,000)
- 2020-2021 Access to Mental Health Services in Rural Pennsylvania," Center of Rural Pennsylvania ($68,453)
- 2019-2020 Research and Development Grant, Pennsylvania State University
- 2016- 2019 Reexamination of ‘Korean Bullying’ using Big Data Analysis and Cross-Comparative Research, National Research Foundation of Korea- NRF-2016S1A5A2A03925702 ($280,000)
- 2018-2019 Research and Development Grant, Pennsylvania State University
- 2018 11-12 Analysis of Obesity Disparities by Region in Seoul Using Machine Learning Based Community Health Survey, Seoul Metropolitan Government ($12,000)
- 2018 9-12 Comparing Juvenile Probation System between US and South Korea, Ministry of Justice of Korea ($20,000)
- 2018 Comparing rural and urban Bullying behavior in the Pennsylvania Youth Survey, Undergraduate Research Endowment, Pennsylvania State University
- 2017-18 Award for Excellence in Research, Penn State Schuylkill
- 2016-19 Reexamination of ‘Korean Bullying’ using Big Data Analysis and Cross-Comparative Research, National Research Foundation of Korea- NRF-2016S1A5A2A03925702 ($280,000)
- 2018-19 Research and Development Grant, Pennsylvania State University
- 2018 11-12 Analysis of Obesity Disparities by Region in Seoul Using Machine Learning Based Community Health Survey, Seoul Metropolitan Government ($12,000)
- 2018 9-12 Comparing Juvenile Probation System between US and South Korea, Ministry of Justice of Korea ($ 20,000)
- 2018 Comparing rural and urban Bullying behavior in the Pennsylvania Youth Survey, Undergraduate Research Endowment, Pennsylvania State University
- 2017-18 Research and Development Grant, Pennsylvania State University
- 2017 5-10 Adverse Drug Reactions by using Big Data Analysis, Ministry of Drug and Food Safety of Korea ($30,000)
- 2016-17 Research and Development Grant, Pennsylvania State University
- 2016 Student Endowment Research Grant, Pennsylvania State University
- 2015-16 Research and Development Grant, Pennsylvania State University
Research Interests
Artificial Intelligence
Big data analysis
Machine learning
Bullying/Cyberbullying/Sexting
Qualitative research
Comparative criminology
Publications
Song, J., Song, T. M., Lee, S., & Seo, D. C. (2023). Depression in South Korean Adolescents Captured by Text and Opinion Mining of Social Big Data. International journal of environmental research and public health, 20(17), 6665. https://doi.org/10.3390/ijerph20176665
Song, J., Jin, D. L., Song, T. M., & Lee, S. H. (2023). Exploring Future Signals of COVID-19 and Response to Information Diffusion Using Social Media Big Data. International Journal of Environmental Research and Public Health, 20(9), 5753. https://doi.org/10.3390/ijerph20095753
Oh, G., Song, J., Park, H., & Na, C. (2022). Evaluation of random forest in crime prediction: Comparing three-layered random forest and logistic regression. Deviant Behavior, 43(9), 1036-1049. https://doi.org/10.1080/01639625.2021.1953360
Han, Y., Lee, S., Cho, E., Song, J., & Hong, J. S. (2022). Individual-and school-level predictors of latent profiles of bullying victimization: comparing South Korea and the United States. Journal of interpersonal violence, 37(13-14), NP12146-NP12173.
Song, T. M., & Song, J. (2021). Prediction of risk factors of cyberbullying-related words in Korea: Application of data mining using social big data. Telematics and Informatics, 58, 101524. https://doi.org/10.1016/j.tele.2020.101524
Na, C., Oh, G., Song, J., & Park, H. (2021). Do Machine Learning Methods Outperform Traditional Statistical Models in Crime Prediction? A Comparison Between Logistic Regression and Neural Networks. Korean Journal of Policy Studies, 36(1), 1-13.
Han, Y., Lee, S., Cho, E., Song, J., & Hong, J. S. (2021). Individual-and school-level predictors of latent profiles of bullying victimization: comparing South Korea and the United States. Journal of interpersonal violence, 0886260521997950. https://doi.org/10.1177/0886260521997950
Song, J., Han, Y., Kim, K., & Song, T. M. (2020) Social Big Data Analysis of Future Signals for Bullying in South Korea: Application of General Strain Theory. Telematics and Informatics. 54, 101472. https://doi.org/10.1016/j.tele.2020.101472
Song, J. (2020). Patterns and explanations of delinquency among Korean youth using general strain theory. Children and Youth Services Review, 105080. https://doi.org/10.1016/j.childyouth.2020.105080
Song, J. *, Song, T.M. (2019) Social Big Data Analysis of Particulate Matter, Health, and Society. International Journal of Environmental Research and Public health, 16(19), 3607. https://doi.org/10.3390/ijerph16193607
Kim, H., Han, Y., Song, J., & Song, T. M. (2019). Application of Social Big Data to Identify Trends of School Bullying Forms in South Korea. International Journal of Environmental Research and Public Health, 16(14), 2596. https://doi.org/10.3390/ijerph16142596
Han, Y., Kim, H., Ma, J., Song, J.*, & Hong, H. (2019). Neighborhood Predictors of Bullying Perpetration and Victimization Trajectories among South Korean Adolescents. Journal of Community Psychology. 47(7): 1714-1732. https://doi.org/10.1002/jcop.22226
Han, Y., Ma, J., Bang, E., & Song, J *. (2019) “Dynamics of Bullies and Victims among South Korean Youth: A Propensity Score Stratification Analysis”, Children and Youth Services Review. 98, p. 252-260. https://doi.org/10.1016/j.childyouth.2018.12.029
Han, Y., Kim, H., Song, J.*, & Song, T. M. (2019). Ontology Development of School Bullying for Social Big Data Collection and Analysis . The Journal of the Korea Contents Association, 19(6),10-23. DOI : 10.5392/JKCA.2019.19.06.010
Song, J., Song, T. M., Lee, J. (2018). Stay alert: Forecasting the risks of sexting in Korea using Social Big Data. Computer in Human Behavior 81: 294-301. DOI: https://doi.org/10.1016/j.chb.2017.12.035
Song, J., Song, T. M., Seo, D.-C., Jin, D.-L., & Kim, J. S. (2017). Social Big Data Analysis of Information Spread and Perceived Infection Risk During the 2015 Middle East Respiratory Syndrome Outbreak in South Korea. Cyberpsychology, Behavior, and Social Networking, 20(1), 22-29. https://doi.org/10.1089/cyber.2016.0126
Song, J., & Song, T. M. (2016). Future Signals of Health and Welfare Policies and Issues using Social Big Data. Journal of Health Informatics and Statistics, 41(4), 417-427. DOI: https://doi.org/10.21032/jhis.2016.41.4.417
Song, J., Song, T. M., Seo, D.-C., & Jin, J. (2016). Journal of Adolescent Health. Data Mining of Web-Based Documents on Social Networking Sites That Included Suicide-Related Words Among Korean Adolescents, 59(6), 668–673 DOI: 10.1016/j.jadohealth.2016.07.025
Song, J. & Morash, M. (2016). “Materialistic Desires or Childhood Adversities as Explanations for Girls’ Trading Sex for Benefits” International Journal of offender Therapy and Comparative Criminology, 60(1) 62–81 https://doi.org/10.1177/0306624X14543769
Jang, S.& Song, J. (2015). “A “rough test” of a delinquent coping process model of general strain theory” Journal of Criminal Justice, 43(6) 419–430. DOI: 10.1016/j.jcrimjus.2015.08.003
Yingling, J., Morash, M., & Song, J. (2015). “Outcomes Associated with Universal and Immigrant Group Specific Responses to Intimate Terrorism” Violence Against Women, 21(2) 206–228. DOI: 10.1177/1077801214564769
Jang, H., Song, J.*, & Kim, R. (2014). “Does the Offline Bullying Victimization Influence Online Bullying Behavior among Youths? Application of General Strain Theory” Computer in Human Behavior 31: 85-93. DOI: 10.1016/j.chb.2013.10.007
Books
Juyoung Song and Taemin Song (2024). Artificial Intelligence Development Methology, Hannarae Publishing Co, Seoul, Korea. ISBN:9788955663112
Juyoung Song and Taemin Song (2019). Big Data Analysis Using Machine Learning for Social Scientists and Criminologists, Cambridge Scholars Publishing, Cambridge, UK. ISBN-13: 978-1-5275-3388-2
Juyoung Song and Taemin Song (2019). Artificial Intelligence Development Using Machine Learning. Seoul, Korea: Bullsbook Publishing. ISBN: 9791186821398
Juyoung Song and Taemin Song (2019). Statistical Analysis Using Big Data. Seoul, Korea. Seoul, Korea: Bullsbook Publishing. ISBN: 9791186821398
Juyoung Song and Taemin Song (2018). Crime Prediction Using Big Data, Bullsbook Publishing Co. Seoul, Korea. ISBN: 9791186821176
Taemin Song and Juyoung Song (2017). Social big data and future prediction with machine learning. Hannarae Publishing Co, Seoul, Korea. ISBN: 9788955662009
Taemin Song and Juyoung Song (2016). Social Big Data Research Methodology with R, Hannarae Publishing Co, Seoul, Korea (Awarded 2016 Excellent book by National Academy of Science, Republic of Korea). ISBN: 9788955661897
Taemin Song and Juyoung Song (2015). Cracking the Big Data Analysis, Hannarae Publishing Co, Seoul, Korea. ISBN: 9788955661781
Taemin Song and Juyoung Song (2013). Big Data Analysis Methodology For Social Science Research, Hannarae Publishing Co, Seoul, Korea (Awarded 2014 Excellent book by National Academy of Science, Republic of Korea). ISBN:9788955661545
Education
Ph.D., Criminal Justice, Michigan State University
M.A., College of Law, Hanyang University, Seoul, Korea
B.A., College of Law, Hanyang University, Seoul, Korea