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Explore the application of statistical physics principles to complex ecological systems in this conference lecture delivered at the International Centre for Theoretical Sciences. Delve into how statistical mechanics frameworks can be used to understand emergent behaviors in ecological networks, population dynamics, and ecosystem-level phenomena. Learn about the mathematical tools and theoretical approaches that bridge physics and ecology, including phase transitions in ecological systems, critical phenomena in population dynamics, and the role of fluctuations in ecosystem stability. Examine case studies demonstrating how statistical physics concepts such as entropy, free energy landscapes, and collective behavior apply to real ecological problems. Discover how these interdisciplinary approaches contribute to our understanding of biodiversity patterns, species interactions, and ecosystem resilience. Gain insights into current research methodologies that combine theoretical physics with ecological data to predict system behavior and identify universal principles governing complex biological systems.
Syllabus
Statistical Physics of Complex (Eco) Systems by Akshit Goyal
Taught by
International Centre for Theoretical Sciences