Reactive ISR - Goal decomposition and information theory for the ISR Enterprise (Cluster 2)

Description

Dstl wishes to establish a system via which Intelligence, Surveillance and Reconnaissance (ISR) collection assets can be optimally tasked against a desired list of collections in order to deliver a Generation After Next capability for situational awareness, sense making and understanding. As a core component to demonstrating the Reactive ISR concept, the work outlined in this requirement will develop the autonomous/AI approaches to understanding what tasks are required to meet a Request for Information (RFI) and the means to determine if a goal has been achieved. Throughout, the wider context of the value of the information must be understood, evaluated, and accounted for. As a result, ISR collection will support much improved understanding. We seek the development of software frameworks, modules and algorithms. The work is likely to suit a mixed team made up of academia and industry able to i) determine the state of the art ii) recommend and develop suitable algorithms and information theory iii) implement these solutions into demonstration capability. As part of this research the supplier will be required to develop an interim software framework to form part of a conceptual demonstrator of the Reactive ISR system (in September 2022). The conceptual demonstrator will look to implement land focused ISR vignettes with the following types of assets: UXVs, manned ariel and land-based platforms, and remote sensing assets. However subsequent demonstrations will look to exercise a wider set of vignettes utilising a mix of assets across different environments. Please see the attached Tasking Form for further information regarding this award. The work was competed through Lot 6 of the Serapis Framework and has subsequently been awarded.