1/ What happens when you give social data science students 821.6 GB of public vessel geolocation data (AIS) and just 9 hours to identify potentially suspicious behavior near the Danish coast?
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5315978
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5315978
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https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5315978
✅ Preliminary insights on Russian “research vessels” (often used for spying), the Russian shadow fleet and fishing vessels that go “dark” near critical offshore infrastructure. We hope this inspires you to take off where we have left.
✅ Python code for condensing the massive maritime data to a manageable size, so that these kinds of analyses can become more accessible both for scholars, open-source intelligence enthusiasts and data journalists.
I´ve worked for more than 15 year doing the same kind of analysis but with helicopter flight data in order to find flight anomalies and this hits home.
outstanding job, you guys.
I gladly talk to one of you guys in how to do this merge.