Insang [IN-SAHNG] is a Ph.D. student who joined in S3C lab from Fall 2019. His research interests encompass spatio-temporal analysis of health outcomes, imputation of missing data in geographic data, and space-time dynamics in causal modeling. He earned his bachelor’s and master’s degrees in Geography from Seoul National University, Seoul, Republic of Korea.

Email: isong@uoregon.edu

Publications

1. Kim, D., and Song. Forthcoming. Predicting model improvement by accounting for spatial autocorrelation: A socio-economic perspective. The Professional Geographer.
2. Song, I., Kim, O.-J., Choe, S.A. and S.-Y. Kim. (2020). Spatial heterogeneity in the association between particulate matter air pollution and low birth weight in South Korea. Environmental Research 110096. https://doi.org/10.1016/j.envres.2020.110096
3. Park, Y., Song, I., Yi, J., Yi, S.-J., and S.-Y. Kim. (2020). Web-based visualization of scientific research findings: national-scale distribution of air pollution in South Korea. International Journal of Environmental Research and Public Health 17(7) 2230. https://doi.org/10.3390/ijerph17072230
4. Kim, D., Lee, J.-Y., Seo, J., and Song, I. (2019). Recolonization of native and invasive plants after large-scale clearance of a temperate coastal dunefield. Applied Geography, 109, 102030. https://doi.org/10.1016/j.apgeog.2019.05.007
5. Song, I., Lee, C., and Park, K.-H. (2018). An Ensemble Machine Learning from Spatio-temporal Kriging for Imputation of PM10 in Seoul, Korea. Journal of the Korean Geographical Society, 53(3), 427–444.
6. Kim, S.-Y., and Song, I. (2017). National-scale exposure prediction for long-term concentrations of particulate matter and nitrogen dioxide in South Korea. Environmental Pollution, 226, 21–29. https://doi.org/10.1016/j.envpol.2017.03.056
7. Song, I., and Kim, S.-Y. (2016). Estimation of Representative Area-Level Concentrations of Particulate Matter(PM10) in Seoul, Korea. Journal of the Korean Association of Geographic Information Studies, 19(4), 118–129. (In Korean)
8. Eum, Y., Song, I., Kim, H.-C., Leem, J.-H., and Kim, S.-Y. (2015). Computation of geographic variables for air pollution prediction models in South Korea. Environmental Health and Toxicology, 30, 70–83. https://doi.org/10.5620/eht.e2015010

Awards and Fundings

• Fall 2019 – Spring 2020, University of Oregon, Raymund First-Year Ph.D. Student Fellowship.
• Fall 2019, University of Oregon, Lokey Award.
• October 2016, The Korean Society of Environmental Health and Toxicology, Excellence Poster Award.
• Spring – Fall 2015 and Fall 2016, Seoul National University, Merit-based Scholarship.
• Spring 2014, The Sung Ryun Scholarship Foundation, Scholarship for Superior Academic Performance.
• Fall 2014, Seoul National University, Undergraduate Research Grant.
• Fall 2013, Seoul National University, Undergraduate Research Grant.
• Fall 2009 – Spring 2011, Seoul National University, Superior Academic Performance.

For his further information, please see his ResearchGate profile

His full CV is here