Ministry of Environment 2025 Environmental Data Utilization and Analysis Competition Excellence Award (National Park Service Director Award) / Hee-Do Choi and Tae-Rim Kim (Forestry and Environmental Systems Department, 21)
- 25.07.15 / 이정민
The team “Growth Society” from the Department of Forest and Environmental Systems at Kookmin University (Choi Hee-do, Class of 2021; Kim Tae-rim, Class of 2021; and Kim Jun-seop, Class of 2021, Department of Mathematics, Sungkyunkwan University) won the Excellence Award (National Park Service Director-General's Award) in the Data Direct Analysis category at the “2025 Environmental Data Utilization and Analysis Competition” hosted by the Ministry of Environment and the Korea Environment Industry & Technology Institute.
This competition was organized to discover creative ideas and new business models by combining and utilizing public and private data in the environmental field, with a total of 341 teams participating. In the Data Direct Analysis category, university students were evaluated on their analysis tasks aimed at achieving four missions: ▲Creating a Healthy Living Environment, ▲Responding to the Climate Crisis, ▲Solving Fine Dust Issues, and ▲Achieving a Circular Economy.
The team from Kookmin University developed a quantitative risk index by combining the IPCC standard vulnerability framework and PCA-Varimax technique to predict climate change vulnerability in Seoul's 467 eup, myeon, and dong (local administrative districts) through climate and social data fusion spatio-temporal modeling. Notably, by predicting the climate change vulnerability of Seoul's 467 districts until 2100 using a GAT-LSTM hybrid model that simultaneously learns spatial dependence and temporal continuity, the team was recognized for addressing the limitations of existing static risk assessments.
Team leader Choi Hee-do (Forestry and Environmental Systems, Class of 2021) stated, “I am proud that all team members successfully conducted interdisciplinary research combining data analysis and statistical modeling by leveraging their individual strengths. I am delighted that our work has been recognized for translating the social value of protecting climate-vulnerable groups into data analysis, and I will continue to strive to ensure that our research outcomes contribute to achieving climate justice through actual policy implementation.”
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Ministry of Environment 2025 Environmental Data Utilization and Analysis Competition Excellence Award (National Park Service Director Award) / Hee-Do Choi and Tae-Rim Kim (Forestry and Environmental Systems Department, 21) |
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The team “Growth Society” from the Department of Forest and Environmental Systems at Kookmin University (Choi Hee-do, Class of 2021; Kim Tae-rim, Class of 2021; and Kim Jun-seop, Class of 2021, Department of Mathematics, Sungkyunkwan University) won the Excellence Award (National Park Service Director-General's Award) in the Data Direct Analysis category at the “2025 Environmental Data Utilization and Analysis Competition” hosted by the Ministry of Environment and the Korea Environment Industry & Technology Institute. This competition was organized to discover creative ideas and new business models by combining and utilizing public and private data in the environmental field, with a total of 341 teams participating. In the Data Direct Analysis category, university students were evaluated on their analysis tasks aimed at achieving four missions: ▲Creating a Healthy Living Environment, ▲Responding to the Climate Crisis, ▲Solving Fine Dust Issues, and ▲Achieving a Circular Economy.
The team from Kookmin University developed a quantitative risk index by combining the IPCC standard vulnerability framework and PCA-Varimax technique to predict climate change vulnerability in Seoul's 467 eup, myeon, and dong (local administrative districts) through climate and social data fusion spatio-temporal modeling. Notably, by predicting the climate change vulnerability of Seoul's 467 districts until 2100 using a GAT-LSTM hybrid model that simultaneously learns spatial dependence and temporal continuity, the team was recognized for addressing the limitations of existing static risk assessments. Team leader Choi Hee-do (Forestry and Environmental Systems, Class of 2021) stated, “I am proud that all team members successfully conducted interdisciplinary research combining data analysis and statistical modeling by leveraging their individual strengths. I am delighted that our work has been recognized for translating the social value of protecting climate-vulnerable groups into data analysis, and I will continue to strive to ensure that our research outcomes contribute to achieving climate justice through actual policy implementation.”
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