Algorithm for Threat Detection Kickoff Workshop

Data collection and dissemination capabilities surrounding all kinds of activity have advanced tremendously. This raw data must be turned into information, the information used to build knowledge. This knowledge is used to inform anomaly detection, prediction, and the ultimately to generate actionable intelligence. Data Sciences give us the theory and the tools necessary to produce and verify what we are after. We still have make skillful and creative use of these tools to formulate our problems in such a way that we will get the right answer to the right question. Work in this area at Penn State University has left us with some lessons learned and useful organizing principles to accomplish the formulation of Algorithmic Threat Detection problems and the execution of applied research in this area.