Focused on use of data science, statistics, and other analytics techniques to solve problems in infosec. Topics of interest include, but are not limited to: data processes, methods for getting or cleaning data, basic statistics done well, data visualization, real science (scientific method/hypothesis testing), practical applications of data science in production, academic research (both student and faculty), machine learning, attacking machine learning and data science, risks of machine learning and data science, and the use of analytics to discover the story told by the data. Participants are encouraged to challenge themselves and presenters are encouraged to challenge participants to rise to the level of the presentation.
