Combining explorative information analytics, geospatial information, and community science in Python to overview 35k+ EU-funded tasks.

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The Horizon 2020 was the EU’s analysis and innovation funding program from 2014–2020 with a finances of almost €80 billion, funding analysis tasks throughout the continent at varied scales, overlaying matters from Anthropology to Particle Physics. As these grants often funded worldwide analysis, lots of them have been awarded to joint efforts of collaborative events.

On this piece, I goal to discover some fundamental cross-sections of the relatively wealthy information units revealed about H2020 to have a short overview on how these chunks of EU fundings have been distributed throughout hundreds of actors and a whole lot of analysis matters. For that, I’ll use information shared by CORDIS. These information units, owned by the EU, are approved below the Inventive Commons Attribution 4.0 Worldwide (CC BY 4.0) licence, offering an ideal playground for anybody curious about explorative information science or EU funding (or each).

On this article, I first conduct explorative analytical steps to seize the most important tendencies of the info set, equivalent to most funded matters and establishments. Then, I present a fast manner to make use of Python to…