BattleLab reposted this
I'm currently involved in an Innovation Course ran by NATO: Project Mercury Innovators Forum. I would love to get some feedback on one of our possible solutions to improve Information Sharing (it's part of the course). The rough outline of the idea you can find in the article posted. 1. If you are in a Defence or security organization: (Not taking into account all legal, cybersecurity, technical and other obstacles) Do you think it is useful for your nation to develop an architecture or application to use your citizens as a sensor. (Ukraine is currently doing this) Something like a Neighborhood Watch application but with a lot broader scope. Or do you already have something like this? I think even the police would benefit from such a solution. 2. As a citizen would you be inclined to use this type of application? What would be your trigger to signal something out of the ordinary? And most importantly, how would you convince your friends and neighbors to participate in their own safety & security?
Luc ROMBOUT
2mo
When I was in Zaporizhzhia, I spoke to people from the "Air Observer 'corps'": citizens, something youth, with a keen interest in defence matters who had developed a skill of recognising type of missiles fired from occupied Crimea into UKR. They have physical observation posts as close to FEBA as possible, and "look" at incoming objects from the time of launch and try to identify them. Based on animal avatars they then signal the type of approaching object both to civil defence groups, the population and military command. A hedgehog in a Telegram group meant, the approach of === and a rabbit of .gif of a bed indicating whether shelter was needed or not. Given the flight time of incoming msl (60 to 80 sec !!) they outperformed military radars and provide a vital component of civil defence. Even the activation of sirens in some cities is currently based on these VizObs teams. Just one example, so definitely.
Technologist
2moContext understanding is essential in decision making, regional coverage is pivotal, it is a major challenge that genAI may help to solve (interpret voice, pictures, text,...). It can be implemented on multiple levels, from edge to cloud. The transformation from unstructured data to mathematically structured information is one of the interesting fields, as it helps to consolidate and homogenize data from a broad spectrum of sources and make it useful. Surely that has a lot of military applications as this topic deals with decentralized information superiority.