Shannon Harper is Co-PI on grant from National Science Foundation (NSF)
The research will develop novel algorithms for detecting anomalies within large spatiotemporal datasets. By mixing topological and Fourier-analytic methods, we will develop a new form of time series analysis particularly suited to spatiotemporal datasets. The goal is to leverage these new methods to build geometric models of anomalies, allowing for real-time detection and identification of significant events. Our novel algorithms will be designed for the purpose of developing quantitative models of human mobility and predicting events that are potentially harmful to society. Read More
August 22, 2023
