معرفی
Eddie Lee is a Postdoctoral Researcher at the Complexity Science Hub in Vienna, Austria, where he investigates the role of information in shaping complex patterns across biological, ecological, and social systems. His interdisciplinary work bridges physics, biology, and social science, focusing on universal principles underlying diverse phenomena.
Research Interests: Eddie Lee's research is centered on complexity science, with core interests in information theory, statistical physics, and mathematical modeling. He explores how information consumption influences firm performance, how optimal learning rates are constrained by metabolic costs, the dynamics of armed conflict propagation, and the unification of innovation and obsolescence across domains. His work often draws analogies between biological and social systems to uncover universal dynamics.
His recent publications (2021–2024) span journals such as PNAS, PLoS Computational Biology, and Proceedings of the Royal Society B, reflecting a strong trend toward applying physics-inspired models to real-world data in ecology, neuroscience, economics, and conflict studies. Themes include scaling laws, niche construction, judicial voting behavior, and predictive modeling of conflict spread.
Scientific Awards:
- National Science Foundation Graduate Research Fellowship
Advising and Grants: Eddie Lee leads the ESPRIT project (From scaling to microscopic mechanism of armed conflict), funded from August 2022 to August 2025, which aims to connect agent-level behavior with large-scale conflict patterns. He collaborates with researchers such as J.C. Flack, D.C. Krakauer, and C.P. Kempes. While no formal students are listed, he mentors junior researchers and contributes to interdisciplinary workshops and public outreach.
Labs and Teams: He is an active member of the Complexity Science Hub, contributing to the 'Foundations' research theme. He participates in projects like ESPRIT and engages in public communication of science through media interviews and public talks.
