I saw a nice presentation by Michael Cruickshank with an intelligence background that was using public geospatial data like what this is based on to model how climate change would affect power outages in an African city. In that case he was trying to figure out where all the power infrastructure was that would be affected in a flooding and then model network effects to figure out which parts of the city would end up being affected. Really interesting work.

Michael presented at the Berlin Geomob. His website has a more general overview of what he does: https://www.michaelcruickshank.me/recentwork. That does not seem to include a lot of detail on what he presented. Possibly because he is trying to be responsible here.

The security angle did come during the presentation. This is not the type of information that a lot of governments would want to make public but also something that could help them. You can mine a lot of intelligence from public data. And his approach of doing some kind of scenario modelling on top of the open data actually is interesting. That's something that can be used for good and for evil. And obviously something that a lot of intelligence agencies are probably already doing.

> You can mine a lot of intelligence from public data. And his approach of doing some kind of scenario modelling on top of the open data actually is interesting.

That’s sort of how it happens in the intelligence world. A bunch of analysts can look at open source data - news snippets, public data sets etc, but once they analyze it and distill to some conclusions it may become sensitive or classified.