
ENS students use open source intelligence (OSINT) for research on war and migration
How can freely available sources such as social media posts, satellite images, media reports and Google Street View data be used to research pressing socio-political issues? Two seminars at ENS addressed this question in the winter semester 2024/25. Under the guidance of Prof. Dr Miglė Bareikytė and Dr Silvan Pollozek, students used special research methods to investigate war and migration issues.
The research groups focussed on the use of open source intelligence (OSINT). In the two seminars "How to investigate conflict on digital platforms? OSINT in the context of war" (Miglė Bareikytė) and "Open Source Intelligence (OSINT) investigations in the context of migration and border control" (Silvan Pollozek), the students experimented with various digital tools and methods, tackled pressing socio-political issues and worked on their research projects in an intensive two-day data sprint by collecting, analysing and discussing data. Two experts, OSINT specialist and researcher Guillen Torres from the University of Amsterdam and Galen Reich, tech community facilitator at the research network Bellingcat, acted as mentors for the students.
The four student research groups focussed on current topics in their seminar papers. One group analysed disinformation practices in X-comments on German newspaper articles about arms deliveries to Ukraine. They used the data scraping method, which involves extracting data from websites. Another group mapped pushbacks on the Polish-Belarusian border. A further group of students used freely accessible satellite images, social media posts and Google Street View data to verify the destruction of civilian infrastructure in Ukraine. A fourth group compared different narratives about humanitarian aid in Gaza. They analysed news reports and social media posts.
The students worked in their groups throughout the semester and were supported by lecturers and mentors in refining their research questions, methods and the collection of relevant data. The results were presented on the second day of the data sprint on 7 February.
[Text: Frauke Adesiyan, Photo: Heide Fest]