College of Engineering, Design & Computing Events

10 April | Algorithms for Thread Detection (ATD)

NSF

This program supports research projects to develop the next generation of mathematical and statistical algorithms for analysis of large spatiotemporal datasets with application to quantitative models of human dynamics, with an emphasis on identifying and forecasting unusual events and future threats.There are two topical areas:

• Projects that aim to develop novel mathematical, statistical and computational algorithms for rapid, reliable and secure analysis of massive spatiotemporal datasets, at scale. Research that effectively leverages spatiotemporal features of source data are of particular interest, e.g., project proposals developing new insights into characterizing human activities and impacts on the Earth's surface, made possible by new data sources.
• Projects that develop mathematical theory to guide the application of advanced artificial intelligence to processing massive spatiotemporal data (e.g., to problems in computer vision, large language models, natural language processing).