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Using Networks to Make Predictions

Offered By: Santa Fe Institute via YouTube

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Public Health Courses Epidemiology Courses Mathematical Modeling Courses Complex Systems Courses Predictive Modeling Courses Percolation Theory Courses

Course Description

Overview

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Explore how network science can aid in making predictions and informed decisions in this lecture by Mark Newman, External Professor at the Santa Fe Institute. Delve into the application of mathematical and computer models to tackle complex problems like flu vaccine development. Learn about dynamics on networks, citation patterns, percolation models, and the role of hubs in network resilience. Discover the potential of tools like EpiSims in simulating epidemic spread and informing public health strategies. Gain insights into how network analysis can enhance decision-making processes across various fields, from epidemiology to information science.

Syllabus

Introduction
Welcome
Recap
Dynamics on Networks
Citation Networks
Citation Patterns
Other Patterns
Percolation Model
Hubs
Vaccination
Resilience
EpiSims
Conclusion


Taught by

Santa Fe Institute

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