This project examines technology adoption by the cities, counties, and other local government agencies that manage infrastructure. Which types of institutions are more likely to adopt new technologies and why? Which technologies are more likely to be adopted? How do those managing infrastructure agencies think about the costs and benefits of new technology? This project utilizes and compares a variety of data-collection strategies to track the adoption of new technologies by infrastructure agencies in the state, and to understand the technology adoption process. Data collection methods include interviews, surveys, webscraping, and automated text analysis.
Researchers: Shih-Hung Chiu, Tianyu Han, Ishana Ratan, Alsion Post, Kenichi Soga
Domains: Smart City Tech
Capabilities: Data Analytics & Machine Learning