INSITE: An Unattended In Situ HSCB Data Collection, Visualization, and Analysis System

Human Socio-Cultural Behavioral (HSCB)-based models have the potential to help tactical commanders assess situations and project consequences of actions in counterinsurgency (COIN) missions. Unfortunately, the potential utility of these models been limited due to a lack of area of interest (AOI) data traditionally collected by local subject matter experts (SMEs). The short supply of SMEs has created interest in developing collection capabilities that can operate unattended in remote AOIs to collect HSCB data over long periods of time. One approach is to leverage automated OSINT and SIGINT tools to collect and analyze local AOI multimedia (web, TV, radio), online records, and individual inputs. Unfortunately, there is a shortage of detectable media signals and local records in technology-poor remote AOIs. To enable collection of HSCB data now unavailable in these remote AOIs, we propose to design and demonstrate INSITE, an automated, unattended, long duration, HSCB data collection system focused on detecting non-verbal social signals that make up a significant part of the"atmospherics"that give critical socio-cultural insight. INSITE consists of a: (1) Remote HSCB Data Collection System that includes sensors, sensor processing techniques, a wireless network interface; and (2) INSITE Data Packager that provides storage, visualization, and analysis tools.