
Economists discuss a new economic paradigm for a sustainable and just global future, addressing the failures of unregulated profit pursuit and the rise of economic nationalism.

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.

Explore non-equilibrium systems where giant fluctuations coexist with long-range order, examining particle behavior, interface properties, and applications in various scientific domains.

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.

Explore the fascinating intersection of music theory and geometry, uncovering how musical chords inhabit unique geometric spaces and how classical compositions trace paths through multidimensional objects.

Explore the role of beauty in guiding humanity's quest for understanding the world, examining interactions between beliefs, values, and scientific truth.

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

Explore complex systems through parables, examining prediction models, chaos theory, and market dynamics to gain insights applicable to everyday life and decision-making.

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 hidden world of networks, from social connections to cellular metabolism, and discover how scientists study these complex systems to unravel their mysteries.

Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.

Exploring the mathematical structure of Western music, revealing hidden geometries and patterns that connect diverse musical styles from Bach to The Beatles, and their relation to complex systems science.

Exploring how complex systems science can address societal inequalities, from vaccine distribution to economic opportunities. Insights on repairing structural inequities using network analysis and modeling to protect vulnerable populations.

Explore the mathematical concept of sameness, from isomorphism to equivalence, and its evolution in higher-dimensional mathematics. Discover new foundations that align with centuries of mathematical practice.

Explore phylodynamics and Markov genealogy processes to infer disease transmission from genomic data. Learn about a unified approach using exact likelihood expressions and dynamic genealogy evolution.

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

Exploring the limitations of algebraic theory in economics and advocating for algorithmic approaches to capture the evolving nature of innovation and exchange in complex systems.

Exploring rational inference approaches for incomplete information in complex sciences. Discusses defining and implementing rational methods, handling misspecifications, and addressing model uncertainty and robustness.

Explore how universal TB vaccination, air pollution, and health expenditure impact COVID-19 survival rates across countries, with quantified probability changes by age and sex using information-theoretic methods.

Explore AI's role in statistical workflow, focusing on model building, checking, and revision. Discover how automated inference and best practices can enhance quantitative data analysis across various fields.