Explore the intersection of big data, global development, and complex systems in this comprehensive lecture by Nathan Eagle, Omidyar Fellow at the Santa Fe Institute. Delve into the analysis of petabytes of data on human movements, transactions, and communication patterns generated by everyday technologies like mobile phones and credit cards. Discover how this vast amount of behavioral data from over 250 million people across multiple continents is being aggregated and analyzed. Learn about computational social science, the physics of society, and anomaly detection in urban environments. Examine case studies on predicting disease outbreaks, analyzing behavioral signatures, and understanding socioeconomic factors in various contexts, including malaria in Kenya and slums in developing countries. Explore the impact of mobile technologies on global development, such as prepaid pay-as-you-go markets and M-Pesa. Gain insights into the outsourcing industry and the management of a global workforce in the context of big data and complex systems.
Overview
Syllabus
Introduction
Big Data
What is Big Data
Data vs Storage
Computational Social Science
Physics of Society
New York City
Anomaly Detection
Predicting Outbreaks
Behavioral Signatures
Malaria in Kenya
Prepaid payasyougo markets
Slums and socioeconomic status
Social networks
Diversity and socioeconomic status
The outsourcing industry
Mpesa
Management
Global Workforce
Conclusion
Taught by
Santa Fe Institute
