Crowdsourcing using Intelligent Supervision to address Information Requirements in Crisis Situations (CRISIS)
Charles River Analytics’ (CRA’s) Crowdsourcing using Intelligent Supervision to address Information Requirements in Crisis Situations (CRISIS) framework employs diversely skilled crowds to address sensing and analysis problems for Navy/ Marine Expeditionary Units (MEU) intelligence analysts. CRISIS incorporates a unique provenance modeling approach to model crowd performance with limited ground truth information, learning trustworthiness for specific tasks. CRISIS is being used to manage skill-based task assignments for intelligence analysts using the Distributed Common Ground System-Navy (DCGS-N), but CRISIS also has broad applications for public data collection in crisis situations, where some contributors may practice deception. CRISIS demonstrated effectiveness using simulated crowds, illustrating its ability to accurately differentiate skill level and deception potential. CRA seeks partners to help bring this technology to military intelligence users and the intelligence community.
Intuitive User Interfaces for Task-Tailored Planning (INTUIT)
Charles River Analytics, a leading customer-focused provider of innovative solutions for complex human-systems challenges, is developing Intuitive User Interfaces for Task-Tailored planning (INTUIT) for the Navy’s Joint Mission Planning System (JMPS). INTUIT is a set of interfaces that increase the usability of planning systems and the efficiency of operators with varying skill levels across a range of vehicles, mission contexts, and unique tasks. INTUIT provides targeted support to novice and expert mission planners by adapting to unique operator, task, and mission needs, as well as fluidly exposing opportunities for advanced planning functionality when appropriate. Phase II prototyping has verified proof of concept demonstration and integration with JMPS. The ultimate goal is to integrate and transition this technology into government and prime contractor mission planning systems.
Climatological Observations for Maritime Prediction and Analysis Support Service (COMPASS)
The Climatological Observations for Maritime Prediction and Analysis Support Service (COMPASS) uses machine learning to create forecasts of the probability that conditions differ from average climatology or mission-specific thresholds. COMPASS integrates multi-model forecast data to generate skillfully-superior forecasts to improve mission readiness and effectiveness; ensure safety; and reduce cost, labor, and resource requirements. COMPASS enables operational planners and decision makers to plan missions using more reliable and longer-term weather and climate predictions, thereby adding extended-range forecasting capabilities to current forecasting systems and mission-planning tools. Charles River Analytics applies computational intelligence technologies to develop mission-relevant tools to transform customer data into knowledge that drives robust decision-making. Our goal is to integrate and transition this technology into government and prime contractor systems for providing long- or medium-range forecasts.