Social Dilemma of Disease Control
Explore disease control's social dilemma through integrating top-down and bottom-up perspectives, examining contagions, immunity, social distancing, and vaccination behaviors.
Frontiers of Computational Social Science - Agent-Based Modeling and Artificial Societies
Explore agent-based modeling in computational social science, from playground simulations to global epidemic models, with insights on future developments in neuro-cognitive agents and their applications.
The Physics of Brain Network Architecture, Function, and Control
Explore brain network architecture and dynamics using advanced imaging and computational tools. Discover control points, activity trajectories, and network evolution from childhood to adulthood.
The Swine Flu and You: Predicting and Controlling the H1N1 Pandemic
Explore the H1N1 pandemic: its impact, control strategies, and mathematical modeling for prediction and prevention. Learn about public health responses and the science behind epidemic management.
Pathogen Diversity from an Ecological Perspective
Explore pathogen diversity through an ecological lens, examining the complex interactions between microorganisms and their environments in disease dynamics and evolution.
The Challenge of Obesity and a Systems Approach to Solutions
Explore the complex obesity epidemic, its global impact, and innovative systems approaches for prevention and policy solutions. Learn about multifaceted factors and cutting-edge research in this field.
Emerging Diseases, Deadly Lessons - Preventing Future Epidemics
Insights from recent epidemics on preventing future outbreaks, exploring ecological, social, political, and economic factors in disease spread and their implications for global health security.
Measuring Social Networks for Disease and Health Behavior Dynamics
Explore innovative methods for analyzing social networks to understand disease spread and health behaviors, with insights from cutting-edge research in network science and epidemiology.
Tracking and Curbing the Next Pandemic - Future Directions in Infectious Disease Research
Explore modern plagues, interdisciplinary efforts, and innovative methods for predicting and curbing pandemics through network analysis, animal studies, and advanced computational techniques.
Aging Across Scales - Evolutionary Theories and Population Thinking
Explore evolutionary theories of senescence, recent modeling insights, and the pace-shape framework to understand why some organisms age while others don't, across different lifespan scales.
Reverse Engineering Complexity - Dynamics, Architecture, and Robustness in Complex Systems
Explore robustness, tradeoffs, and feedback in complex systems through computational models. Discover applications in earthquakes, wildfires, biomaterials, infectious diseases, and more, emphasizing dynamics, architecture, and adaptation.
Toward a New Understanding of Aging, Adaptation, and the Arrow of Time
Explore the interplay between biological aging, adaptation, and time through examples from physics research, aiming to identify pathways for healthy aging and formulate a new concept of complex time.
Fractal Inequality and the Complexity of Repair - Part 1
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.
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.
On the Shape of Epidemics
Explore the patterns and dynamics of epidemic spread, examining factors that influence their shape and progression through populations.
Effect of Universal TB Vaccination and Other Factors on Probability of Patient Death from COVID-19
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.
Better Scientific Modeling for Ecological and Social Justice
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.
Embracing Complexity for Systemic Interventions - Transmission Series Episode 5
Explore how embracing complexity in systems can lead to better interventions in various fields, from epidemiology to conservation, and improve decision-making under uncertainty.
Science in the Time of COVID - Lessons from the Pandemic
Insights from network epidemiologists on COVID-19's impact on scientific research, institutional interactions, and societal norms. Explores surprises, lasting effects, and future implications of the pandemic.
Vaccination Strategies - Prioritization, Dose Sparing, and Decisions Under Uncertainty and Inequity
Explore vaccination strategies for COVID-19, including prioritization and dose-sparing, considering uncertainties in variants, human behavior, and global inequities through mathematical models.
Testing Our Way Out of COVID-19: A Bumpy but Possible Path Forward
Explore how frequent, widespread testing with lower sensitivity could dramatically reduce COVID-19 spread and potentially end the pandemic while reopening the economy.