
Explore the theoretical foundations of urban scaling, examining how cities grow and evolve over time through complex systems analysis and mathematical modeling.

Exploring Mandelbrot's contributions to 1/f noise, long-range dependence, and fractional models. Discusses the impact of cognitive diversity on scientific progress and the importance of visual thinking in mathematics.

Explores mathematical model challenging assumptions about male mate choice and female ornamentation in polygynous species, revealing weak sexual selection on female traits despite common inferences.

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

Exploring ecological theory to analyze human societies' energy use and density compared to other mammals, and modeling sustainable conditions for hyper-dense populations through green technologies.

Explores gene-culture co-inheritance of behavioral traits using a Price equation model, examining how cultural selection can overcome genetic selection and modify genetic selection pressures for complex phenotypes like altruism.

Explores how complex systems adapt to environmental patterns, favoring stable configurations that match external forces. Illustrates with toy models and swarm-robotics experiment.

Explore the patterns and dynamics of epidemic spread, examining factors that influence their shape and progression through populations.

Explore mathematical models of identity signaling, examining their impact on cooperation, conflict, and social learning in complex human behavior and communication strategies.

Explore vaccination strategies for COVID-19, including prioritization and dose-sparing, considering uncertainties in variants, human behavior, and global inequities through mathematical models.

Análisis de cambios en la autorregulación del clima terrestre mediante herramientas de sistemas complejos, comparando datos de temperatura global con el modelo Daisyworld.

Explore the intersection of computation and dynamics, examining computational models, physical systems, and mathematical concepts to understand the nature of computation and its manifestation in various forms.

Exploring network science and mathematical approaches to uncover hidden structures in complex data. Discusses community detection, data topology, and applications in social networks and opinion dynamics.

Explore the dynamics of network-coupled oscillators, examining fluctuations and their impact on complex systems behavior and stability.

Explore how choanoflagellates provide insights into the evolution of multicellularity in animal ancestors, examining hydrodynamic performance and selective factors affecting colony formation and survival.

Explore the concept of structural balance in complex systems and its implications for understanding social networks, organizational dynamics, and decision-making processes.

Exploring the fundamental relationship between energy, information, and matter in communication processes. Discusses nonlinear dynamics of communication channels and their implications for collective intelligence and limits to human knowledge.

Explore how social networks, internal biases, and belief systems shape group dynamics and decision-making in complex social environments.

Exploring a multidimensional view of biology beyond genomics, emphasizing history, context, environment, and narrative to reframe our understanding of life and its complexities.

Explore the wonders of the universe through comprehensive lectures on celestial bodies, cosmic phenomena, and the origins and evolution of our cosmos.

Explore how a small group of influencers shape information flow in social networks, using mathematical models and experiments to explain this phenomenon and its economic implications.