Browsing and Analysis of Multidimensional Crisis Data at Interactive Speeds

Understanding emerging crises is easier if one is informed well and on time. This talk presents a computational approach that allows analysts to navigate through and to statistically analyze large amounts of event data at interactive speeds. It allows for comprehensive monitoring of highly dimensional data for indications of emerging or unexpected patterns. It also supports interactive visualizations as well as rapid drill-downs and roll-ups of data. The combined benefits improve the attainable situational awareness and make crisis monitoring potentially more effective.