معرفی
Inho Hong is an Assistant Professor at the Graduate School of Data Science, Chonnam National University (Gwangju, Korea), leading the Computational Social Science and Complex Systems Lab (CSL). His research explores socio-spatial systems through data science and complex systems methods, focusing on urban dynamics, human mobility, and AI's societal impact.
Education:
- Ph.D. in Physics (2019), Pohang University of Science and Technology (POSTECH)
- M.S. in Physics (2012), POSTECH
- B.S. in Physics (2010), POSTECH
Research Interests:
- Urban Data Science: Analyzing urban scaling laws and innovation pathways
- Human Mobility: Modeling intra-city movement patterns
- Social Impact of AI: Ethical and societal challenges
- Natural Language Processing: Text embedding for policy analysis
- Complex Systems: Network approaches to protests and epidemics
Recent Work Trends: Over 2020–2022, his articles centered on pandemic control, protest networks, and urban green spaces' psychological impact. Recent 2023–2025 work extends to vocational education analysis and mobility laws within cities. His methods combine network science with large-scale data analytics.
Awards:
- Young Statistical Physicist Award (Korean Physical Society, 2021)
- Best Paper Award (Korea Computer Congress 2021)
- Global Ph.D. Fellowship (NRF, 2014–2017)
Grants & Labs: Current lab focuses on socio-spatial systems. Past roles include Associate Research Scientist at Max Planck Institute for Human Development (2020–2023) and Postdoctoral Fellowships at POSTECH and APCTP.
