Rational Ignorance - Optimal Learning from Complex Mechanistic Models
Explore optimal Bayesian learning from complex models, challenging traditional approaches and proposing a new method to maximize expected information while avoiding bias in multiparameter systems.
What Beer and Running Taught Me About the Scientific Process - Christie Aschwanden at SFI
Christie Aschwanden explores the scientific method through beer and running, revealing insights on statistics, methodology, and reproducibility while emphasizing the importance of skepticism in science journalism.
The Individual Within the Crowd: How Individual Forecasters Contribute to Ideal Group Forecasts
Explores optimal group forecasting by analyzing individual biases, errors, and diversity. Presents a statistical model for estimating forecaster features and discusses when to use optimal weighting versus simple averaging.
First-Passage Processes in Physics and Beyond
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.
David Krakauer on Emergent Political Economies and A Science of Possibility
Exploring emergent political economies through complexity science, examining historical tensions, mathematical approaches, and collective computation to understand societal dynamics and possibilities.
Modeling the Distributional Epidemic-Economic Effects of the Covid-19 Pandemic
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.
How on Earth Can Aliens Survive? Concept and Case Study
Explore evolutionary robustness, its breakdown, and implications for complex diseases. Delve into concepts like shifting balance theory and cultural evolution in this thought-provoking seminar.
The Laws of Life, Time and Chance
Explore the intersection of physics and biology, uncovering mathematical frameworks for understanding life, time, and probability. Discover how chance governs cellular behavior and impacts complex biological phenomena.
The Science of Success - What's Luck Got to Do with It?
Explore the interplay of skill and luck in shaping life outcomes. Learn to define, measure, and improve skill while managing luck, with examples from sports, entertainment, and business.
Information and Model Misspecification - Classical Statistics vs. Info-Metrics
Explore info-metrics framework for handling model misspecification, contrasting classical methods with innovative approaches using entropy and empirical likelihood in power law distributions.
The Future of Terrorism - Patterns, Trends, and Scientific Approaches
Explore patterns and trends in modern terrorism over the past 50 years, examining data-driven insights to understand and potentially forecast future threats and developments.
I Get All the News I Need from the Sports Section - Analyzing Streaks in Sports
Explore how statistical analysis challenges the concept of "hot streaks" in sports, revealing that scoring patterns are largely random and that professional sports are becoming increasingly competitive.
Physics-Inspired Algorithms and Phase Transitions in Community Detection - 2014 Symposium
Explore physics-inspired algorithms for community detection, including phase transitions, statistical inference, and belief propagation. Learn about innovative approaches to clustering and network analysis.
Randomness Everywhere - Understanding Random Walk Models and Their Applications
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.
Mandelbrot, 1/f Noise, and The Mind's Eye in Complexity Science
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.
On the Foundations of Info-Metrics
Explore the science of info-metrics for modeling and inferring from limited data, with insights on reasoning under uncertainty and insufficient information.
The Unlikely Power of Uncertainty and Contradiction in Mathematics
Explore the power of uncertainty and contradiction in mathematics, and how these concepts can be applied to real-world situations, from disease modeling to political predictions.
Fluctuations and Order in Randomly Evolving Environments
Explore non-equilibrium systems where giant fluctuations coexist with long-range order, examining particle behavior, interface properties, and applications in various scientific domains.
The Statue in the Stone: How Dynamical Systems Discover Environmental Patterns
Explores how complex systems adapt to environmental patterns, favoring stable configurations that match external forces. Illustrates with toy models and swarm-robotics experiment.
Stochastic Learning Dynamics and Generalization in Neural Networks
Explore stochastic learning dynamics and generalization in neural networks, uncovering key insights into their behavior and performance in various applications.
Phylodynamics and Markov Genealogy Processes
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.