
Lightning talks on diverse research topics including computational complexity, packing problems, social behavior, and ecological networks.

Explore complex systems in neuroscience, from network analysis to brain dynamics. Learn about connectomics, brain mapping techniques, and models of functional connectivity across various species.

Explore large-scale network structures and their implications in complex systems, focusing on theoretical approaches and practical applications in various fields.

Explore cutting-edge research from Omidyar Postdoctoral Fellows at Santa Fe Institute, covering diverse topics in complexity science and interdisciplinary studies.

Explore the fascinating world of randomness with physicist Sid Redner. Discover how random walk models explain everyday phenomena, from stock prices to gambling, and their applications in various fields.

Exploring evolutionary models of biological interdependence, from organism components to ecological systems, and how these structures can fail catastrophically due to their interconnected nature.

Explore the intersection of complex systems and blockchain technology, including AI DAOs, token design, and agent-based simulations for innovative ecosystem development.

Explore how complex adaptive systems reveal factors behind Mesa Verde's depopulation, including resource overuse, high population density, and environmental vulnerabilities in the face of prolonged droughts.

Explore the intersection of complexity science and economics with experts discussing agent-based modeling, behavioral economics, and machine learning to gain insights into real-world economic systems.

Explore data futures, funding landscapes, and shifting research paradigms with four experts in this illuminating series of lightning talks from the Santa Fe Institute.

Explore cutting-edge research on data futures, funding landscapes, and complex systems in this series of lightning talks by SFI researchers.

Explore dimensionless similarity parameters in macroecology using Buckingham's Π theorem, presented by Sandra Chapman from the University of Warwick.

Explore quantitative methods for measuring resilience in diverse systems, from ecosystems to human psychology, using critical slowing down and probabilistic approaches to understand tipping points and recovery.

Explore complex systems composed of defined building blocks, from Lego sets to genomes. Learn about common theoretical frameworks and data analysis tools for understanding these "component systems" across various fields.

Explore how environment, interactions, group composition, and genetics shape collective outcomes in complex biological systems through field studies, simulations, and novel analytical methods.

Explore social and economic engineering with experts discussing future challenges and opportunities in technology, society, and economics.

Exploring financial system stability through an ecological lens, examining how to design efficient yet robust capital distribution systems without hidden costs and fragility.

Explore principles of complexity in life, scale, and civilization, and their impact on future learning and education with experts from leading institutions.

Explore symmetry breaking and non-equilibrium phenomena in complex systems, covering topics from brain theory to thermal equilibrium and the El Farol problem.

Explore effective theories for computational systems, covering aggregation, finite state machines, regular languages, and emergence in complex systems modeling.

Explore coarse-graining, renormalization, and universality in complex systems. Learn key concepts and applications in mathematical, biological, cognitive, and social sciences.