
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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News

20 January 2025
IIASA co-organized the Digital Twin and Macro-ABM International Workshop in Korea

17 October 2023
New Team Members in Focus: Advancing Research Works in Agriculture, Forestry and Ecosystem Services Group

25 July 2023
Professor Donghyun Kim's Visit to IIASA strengthens ties between South Korea and the FLAM team
Events
Focus

04 September 2024
The role of urban green spaces as nature-based solutions in Korea and Germany
Imagine a city where every neighborhood has lush green spaces that not only beautify the area but also improve the quality of life for its residents. How can we work together to make this vision a reality? Jaewon Son, a participant in the 2024 IIASA Young Scientists Summer Program shares insights into this important question.
27 June 2024
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Projects
Publications
Kim, J., Jang, Y., Hu, H., Kim, Y. , Kim, B., Yoo, S.J., Lee, J.-B., Eun, S.-H., Hong, S.-C., Jin, H., & Woo, J.-H. (2025). Analysis of Health Impacts from Future Air Quality Changes Considering the Aging Population in Korea. Atmosphere 16 (1) e41. 10.3390/atmos16010041. Hong, M., Song, C., Kim, M., Kraxner, F., Ko, Y., Son, J., & Lee, W.-K. (2025). Realizing climate resilient development pathways in forestry: A focus on carbon management in Republic of Korea. Environmental Impact Assessment Review 110 e107665. 10.1016/j.eiar.2024.107665. 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.