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The National Research Foundation of Korea (NRF) is the National Member Organization (NMO) representing Korean membership of IIASA as well as funding IIASA’s annual membership fee.
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IIASA Connect
Are you a member of our Korean regional community? IIASA Connect is our exclusive platform bringing this network together. Join today!
News
![FLAM team and Korean Post-docs](/sites/default/files/styles/thumbnail/public/2023-10/DSC_0126%282%29.jpg?itok=sh4n1izB)
17 October 2023
New Team Members in Focus: Advancing Research Works in Agriculture, Forestry and Ecosystem Services Group
![FLAM team and Prof. Kim](/sites/default/files/styles/thumbnail/public/2023-07/IMG_20230724_114504_crop_0.jpg?itok=tB7cDlQg)
25 July 2023
Professor Donghyun Kim's Visit to IIASA strengthens ties between South Korea and the FLAM team
![Technicians installing solar panels on a roof](/sites/default/files/styles/thumbnail/public/2023-06/dreamstime_m_16306231.jpg?itok=4N_B4bRj)
26 June 2023
Are we building back better yet?
Events
Gvishiani Room, IIASA, Laxenburg, Austria
Korea University-IIASA symposium: Towards integrated approaches for modeling ecosystem material cycles and climate crisis-related disturbances
Focus
27 June 2024
JustTrans4All
![net zero](/sites/default/files/styles/thumbnail/public/2024-06/dreamstime_xxl_306479185.jpg?itok=grku3DoA)
04 December 2022
Celebrating 50 years of global collaboration
![IIASA](/sites/default/files/styles/thumbnail/public/2022-11/feature-anniversary2.jpg?itok=oiSaHHiN)
Projects
Publications
Kim, J., Jo, H.-W., Kim, W., Jeong, Y., Park, E., Lee, S., Kim, M., & Lee, W.-K. (2024). Application of the domain adaptation method using a phenological classification framework for the land-cover classification of North Korea. Ecological Informatics 81 e102576. 10.1016/j.ecoinf.2024.102576. Ko, Y., Song, C., Fellows, M., Kim, M., Hong, M., Kurz, W.A., Metsaranta, J., Son, J., & Lee, W.-K. (2024). Generic Carbon Budget Model for Assessing National Carbon Dynamics toward Carbon Neutrality: A Case Study of Republic of Korea. Forests 15 (5) e877. 10.3390/f15050877. Jo, H.-W., Corning, S., Kiparisov, P., San Pedro, J., Krasovskiy, A. , Kraxner, F., & Lee, W.-K. (2024). Integrating Human Domain Knowledge into Artificial Intelligence for Hybrid Forest Fire Prediction: Case Studies from South Korea and Italy. DOI:10.5194/egusphere-egu24-12320. In: EGU General Assembly 2024, 14-19 April 2024, Vienna. Woo, J.-H., Kim, Y. , Choi, K.-C., Lee, Y.-M., Jang, Y., Kim, J., Klimont, Z. , Kim, D.-G., Lee, J.-B., Jin, H., Hu, H., & Ahn, Y.-H. (2024). Development of a greenhouse gas - air pollution interactions and synergies model for Korea (GAINS-Korea). Scientific Reports 14 (1) e3372. 10.1038/s41598-024-53632-w. Jang, Y., Hu, H., Kim, B., Kim, Y. , Yoo, S.-J., Jang, K., Kim, Y.-K., Jin, H., & Woo, J.-H. (2024). Assessing the impact of climate and air quality policies on future emissions in Korea through quantification of control and co-control effects. Atmospheric Pollution Research 15 (1) e101952. 10.1016/j.apr.2023.101952. Lyu, S., Chen, C., & Marois, G. (2023). Contributions by age and cause to life expectancy gap between China and South Korea, 1990–2019: a decomposition analysis. China Population and Development Studies 7 (2) 160-180. 10.1007/s42379-023-00134-3.