
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.

Explore the intersection of sci-fi and science as researchers model a three-parent alien civilization, discussing societal implications, speculative research, and the impact of small changes on complex systems.

Explore canopy biology's insights into ecosystem diversity and human societies. Discover how structural ecology in treetops reveals lessons for urban life and the organization of super-organisms like ant colonies and human groups.

Explore Parisi's groundbreaking work on spin glasses and its impact on understanding complex systems across physics, biology, and computer science, from atomic to planetary scales.

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 the emerging field of comparative canopy biology, its challenges, and potential for understanding ecosystem structures across various biological communities, from forest canopies to periphyton.

Exploring complex tradeoffs in COVID-19 response: balancing health, economics, and long-term impacts. Experts discuss managing conflicting timescales and applying insights from climate science and sustainability to navigate the crisis.

Geoffrey West explores scaling laws in cities, discussing how urban environments amplify human creativity and challenges, and examines the accelerating cycle of crisis and innovation driving our global economy towards potential peril.

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.

Exploring scaling laws in biology, cities, and economies, and their implications for societal challenges like pandemics and sustainability. Insights from complex systems science for understanding human civilization.

Exploring how mathematical models can encode blind spots and create externalities, emphasizing the need for rigorous empiricism to achieve ecological and social justice through better scientific modeling.

Exploring technology's evolution through biology, this talk examines how AI reshapes labor and finance, offering insights into designing human systems that align with physical and biological laws.

Explore the creation of life-like chemical systems exhibiting growth, replication, and evolution through non-biochemical processes, offering insights into artificial biology and early Earth proto-life formation.

Explore AI's challenges, limitations, and future potential with computer scientist Melanie Mitchell. Delve into fundamental questions about intelligence, cognition, and the intersection of technology and human understanding.

Explore data art's role in science communication with Kirell Benzi. Learn how visual representation enhances understanding, bridges disciplines, and shapes the future of scientific dissemination.

Explore how physics and scale shape biological evolution, from bacterial structures to complex organisms, revealing universal constraints and evolutionary strategies that apply to both life and human institutions.

Exploring technology's evolution through biology, this talk examines how AI reshapes labor and finance, offering insights into designing human systems that align with physical and biological laws.

Explore how social networks shape power, beliefs, and behaviors, and their impact on information spread, economic resilience, and societal structures with Stanford economist Matthew Jackson.

Explore metabolic scaling in biology and computation, examining energy requirements, evolutionary processes, and complex systems. Discover implications for space exploration, economics, and technology design.