[ad_1]
Combining explorative knowledge analytics, geospatial knowledge, and community science in Python to overview 35k+ EU-funded initiatives.
All pictures created by the writer.
The Horizon 2020 was the EU’s analysis and innovation funding program from 2014–2020 with a funds of practically €80 billion, funding analysis initiatives throughout the continent at numerous scales, masking matters from Anthropology to Particle Physics. As these grants normally funded worldwide analysis, lots of them have been awarded to joint efforts of collaborative events.
On this piece, I purpose to discover some fundamental cross-sections of the moderately wealthy knowledge units printed about H2020 to have a short overview on how these chunks of EU fundings have been distributed throughout hundreds of actors and tons of of analysis matters. For that, I’ll use knowledge shared by CORDIS. These knowledge units, owned by the EU, are approved underneath the Creative Commons Attribution 4.0 International (CC BY 4.0) licence, offering an awesome playground for anybody concerned with explorative knowledge science or EU funding (or each).
On this article, I first conduct explorative analytical steps to seize the main traits of the information set, equivalent to most funded matters and establishments. Then, I present a fast approach to make use of Python to…
[ad_2]
Source link