
Explore social computation through experiments on graph coloring, consensus, and network formation. Gain insights into collective problem-solving and strategic interactions in distributed networks.

Explore how cognitive, social, and algorithmic biases in social networks make us susceptible to misinformation, and learn about efforts to counter online opinion manipulation.

Explore the complexities of self-sustaining ecosystems, planetary habitability, and ecological design in this panel discussion featuring experts from diverse fields. Gain insights into the challenges of creating autonomous ecosystems.

Exploring the dark side of big data and its impact on democracy, privacy, and national security, with insights from Heidegger's philosophy to address ethical challenges in the digital age.

Explore the physical and psychological challenges of extreme feats, from polar expeditions to space missions, with insights from adventurers and experts on preparation, risks, and mindset.

Explore cryptoeconomics through complex systems, covering agent-based modeling, game theory, and optimization. Includes live demo of DAO simulation based on Ising model in statistical mechanics.

Explore economic collapses, their causes, and recovery strategies through Venezuela's case study. Gain insights on autocatalysis, public debt, inflation, and rebuilding fragile economies.

Explore first-passage processes in physics and their applications, from diffusion equations to extreme value statistics and convection. Gain insights into stochastic hunting and open problems in the field.

Explore the complex network of power grids, their physical infrastructure, and regulatory intricacies. Learn about cascading failures, decision-making processes, and the challenges of maintaining our electrified world.

Exploring emergent political economies through complexity science, examining historical tensions, mathematical approaches, and collective computation to understand societal dynamics and possibilities.

Explore a digressive exhibition through progress notes, examining themes of waiting, buffering, and temporal experiences in art, literature, and culture.

Explore disease control's social dilemma through integrating top-down and bottom-up perspectives, examining contagions, immunity, social distancing, and vaccination behaviors.

Explore predictive modeling and explanatory approaches in social sciences, examining their strengths, limitations, and implications for understanding complex social phenomena.

Explore the role of self-citations in academic research, examining criticisms, conceptual issues, and their impact on knowledge accumulation through similarity analysis.

Explore the concept of balance across various domains, from physics to philosophy, and its implications for evolution, sustainability, and complex systems.

Explore the evolution of organized government through the lens of violence and resource control, examining key societal shifts and equilibria in human history.

Explore a data-driven Agent-Based Model simulating Covid-19's impact on industries, occupations, and income levels, revealing insights for effective and equitable interventions.

Explore algorithmic fairness, intersectionality, and the challenges of balancing accuracy with equity in machine learning and public safety applications.

Explore how meaning is constructed on-the-fly, challenging traditional views of fixed word meanings and examining the role of bodily experiences in language comprehension.

Explore Yoshua Bengio's insights on System 2 GFlowNets, examining induction biases for AI that understands and thinks. Delve into deep learning, cognitive theories, and innovative approaches to machine intelligence.

Explore self-generated learning's radical impact on cognitive development through data-driven insights, experiments, and complex dynamic systems analysis with Linda Smith.