Develop tools and capabilities to detect and analyze emergency events from live streaming multimodal public safety data.
Literally every second counts in public safety response to emergency situations. Data-informed tools to alert public safety officials to emergencies, improve their situational awareness, and assist them in making fast and effective deployment decisions that save lives, property, and infrastructure are critically needed. Public safety operations have an ever-increasing amount of live streaming data available to them from public safety communications, sensors, social media, and other publicly available sources of information. Information contained within these data can help public safety make faster and more informed decisions in responding to emergencies. However, identifying and leveraging the nuggets of critically important information in the tremendous mass of ever-expanding data in time to make effective use of it in response decisions is both an opportunity and a challenge to public safety operations.
The overall goal of the ASAPS Challenge program is to stimulate R&D in critical technologies that will lead to future products providing public safety with advanced real-time emergency detection, situational awareness, and decision-making capabilities based on input from many live, unstructured data streams. The program is designed to stimulate research in critically important technologies such as AI-based streaming data analysis, evolving emergency event understanding, highly actionable analytic information visualizations, and highly intuitive analytics-driven response-support interfaces that maximize situation awareness while minimizing response time. Additionally, we seek to leverage cross-participant knowledge and expertise, inspire the spirit of competition, and garner potential wins at all levels – from low-level data stream analysis to information fusion to real-time information delivery and interaction.