Profile

Scopus Profile

Google Scholar Profile

🎓 Early Academic Pursuits

Bo Kyeong Lee embarked on her academic journey at Yonsei University, Seoul, where she completed her B.S. in Information and Industrial Engineering (2005-2009). She further advanced her studies by earning an M.S. in the same discipline between 2012 and 2014. Her academic excellence culminated in a Ph.D. in Information and Industrial Engineering in August 2018. Her dissertation focused on regional innovation systems, exploring the role of diversity, knowledge spillover, and network externalities in regional innovation dynamics.

💼 Professional Endeavors

Since 2018, Dr. Lee has been a dedicated Research Fellow at the Korea Research Institute for Human Settlements (KRIHS), specifically in the Geospatial Analysis and Monitoring Center. Her role involves leading cutting-edge research on AI-driven population forecasting and developing data-driven policy frameworks for territorial and urban planning. She has spearheaded multiple national research projects that integrate advanced geospatial analysis and AI to inform policy-making.

🔬 Contributions and Research Focus On Social Sciences 

Dr. Lee’s interdisciplinary research bridges spatial analysis, big data science, and urban/regional policy. She has developed innovative AI-based models for population forecasting and advanced methods in spatial big data applications. Her work also extends to patent analytics and technology innovation systems, examining how technological advancements influence regional development and policy. This synergy of data science and policy research has positioned her as a key contributor to evidence-based territorial planning.

🌍 Impact and Influence

With over 20 peer-reviewed articles and 300+ citations, Dr. Lee’s research has had significant influence in spatial big data and urban policy domains. Her studies on population migration, urban infrastructure, and regional innovation systems have been widely recognized, providing practical frameworks for anticipatory governance and sustainable urban planning. Her work has shaped national policies through applied research reports and models that forecast demographic and spatial trends with precision.

🧠 Research Skills

Dr. Lee possesses advanced technical skills in machine learning, deep learning, spatial analysis, patent analytics, and population modeling. She is proficient in Python, R, GIS, computer vision, network analysis, and big data processing. Her expertise also extends to urban planning, regional development, and innovation systems, allowing her to translate complex datasets into actionable policy insights effectively.

🏅 Awards and Honors

Though specific awards were not listed, Dr. Lee’s position as a lead researcher at KRIHS and her leadership in multiple national research projects indicate recognition of her expertise and contributions. The quality and impact of her research outputs position her as an emerging leader in spatial big data science and AI applications for public policy.

🏛️ Legacy and Future Contributions

Bo Kyeong Lee’s legacy lies in pioneering AI-driven approaches that transform how demographic and spatial data inform territorial policies. Her continued leadership in research projects promises to enhance predictive accuracy in population dynamics and urban planning. As urbanization and population challenges intensify globally, her contributions will remain vital for sustainable and data-driven governance, cementing her role as a trailblazer in spatial big data and AI-enabled policy research.

Publications Top Notes

• 🚁 Quantifying technology–industry spillover effects based on patent citation network analysis of unmanned aerial vehicle (UAV)
  DH Kim, BK Lee, SY Sohn
  Technological Forecasting and Social Change 105, 140-157 (2016)
  🔖 Citations: 71

• 🌿 Optimal location selection for the installation of urban green roofs considering honeybee habitats along with socio-economic and environmental effects
  JH Gwak, BK Lee, WK Lee, SY Sohn
  Journal of Environmental Management 189, 125-133 (2017)
  🔖 Citations: 51

• 🔫 Exploring the effect of dual use on the value of military technology patents based on the renewal decision
  BK Lee, SY Sohn
  Scientometrics 112 (3), 1203-1227 (2017)
  🔖 Citations: 30

• 🌱 Patent portfolio-based indicators to evaluate the commercial benefits of national plant genetic resources
  BK Lee, SY Sohn
  Ecological Indicators 70, 43-52 (2016)
  🔖 Citations: 29

• ♻️ Patent clustering and network analyses to explore nuclear waste management technologies
  JW Suh, SY Sohn, BK Lee
  Energy Policy 146, 111794 (2020)
  🔖 Citations: 28

• 🏟️ Optimal location-allocation model for the installation of rooftop sports facilities in metropolitan areas
  YS Kwon, BK Lee, SY Sohn
  European Sport Management Quarterly 20 (2), 189-204 (2020)
  🔖 Citations: 24

• 🌳 Design guidelines for the Dashilar, Beijing open green space redevelopment project
  BK Lee, SY Sohn, S Yang
  Urban Forestry & Urban Greening 13 (2), 385-396 (2014)
  🔖 Citations: 22

• ⚖️ Disparities in exploitative and exploratory patenting performance across regions: Focusing on the roles of agglomeration externalities
  BK Lee, SY Sohn
  Papers in Regional Science 98 (1), 241-264 (2019)
  🔖 Citations: 15

• 💳 A credit scoring model for SMEs based on accounting ethics
  BK Lee, SY Sohn
  Sustainability 9 (9), 1588 (2017)
  🔖 Citations: 15

• 📊 2040 년 장래인구 분포 전망 연구 (Future Population Distribution Projection in 2040)
  이보경 (BK Lee)
  국토연구원 (Korea Research Institute for Human Settlements) (2019)
  🔖 Citations: 5

• 💸 Comparing spatial patterns of sole proprietorship and corporate payday lenders in Seoul, Korea
  HJ Kim, BK Lee, SY Sohn
  The Annals of Regional Science 64, 215-236 (2020)
  🔖 Citations: 4