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This project is funded by the European Union under Horizon2020 Research and Innovation Programme Grant Agreement n°824091
European Union

RISIS Online School on Tools and methods for analysing complex Science, Technology and Innovation (STI) systems

The Online Winter School on Tools and methods for analysing complex Science, Technology and Innovation (STI) systems: A gentle introduction to Network Science (NS), Spatial Models (SM) and Machine Learning (ML) is organized by Research Institute of  Sustainable Economic Growth (CNR-IRCrES) in collaboration with Austrian Institute of Technology (AIT) and will take place on online platform from 15th to 26th of February 2021. Deadline for request of participation: 18th of November 2020 Course main objectives: The…

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RISIS ONLINE SCHOOL ON DATA SCIENCE: CALL FOR APPLICATION OPEN!

Providing the essential tools for a correct application of some popular Network Science, Spatial Models and Machine Learning methods in various STI contexts.   This is the main purpose of RISIS online SCHOOL on DATA SCIENCE organized by CNR-IRCrES in collaboration with AIT, planned in virtual form from 15th  to 26th of February 2021.   In particular: Machine Learning techniques prove useful for factor importance detection, as well as for classification purposes in a model-free…

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RISIS Summer School materials on Data Science

Online, on Zenodo space dedicated to RISIS project, it’s possible to find and download all materials related to first RISIS Summer School on Data Science for Studying Science, Technology and Innovation (STI), that took place in Glasgow on 24-28 June 2019.   During the 5-day training, we have learned:   R as a Data Science Tool, with Kate Pyper (University of Strathclyde): R programming language and how this can be used for data science, different…

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