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METHOD:PUBLISH
X-WR-CALNAME:RISIS 2
X-ORIGINAL-URL:https://www.risis2.eu
X-WR-CALDESC:Events for RISIS 2
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TZID:Europe/Rome
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TZOFFSETFROM:+0100
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TZNAME:CEST
DTSTART:20210328T010000
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DTSTART:20211031T010000
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DTSTART;TZID=Europe/Rome:20210215T143000
DTEND;TZID=Europe/Rome:20210226T120000
DTSTAMP:20260413T201919
CREATED:20201009T172425Z
LAST-MODIFIED:20210216T190953Z
UID:7834-1613399400-1614340800@www.risis2.eu
SUMMARY:RISIS Online School on Tools and methods for analysing complex Science\, Technology and Innovation (STI) systems
DESCRIPTION:The Online Winter School on Tools and methods for analysing complex Science\, Technology and Innovation (STI) systems: A gentle introduction to Network Science (NS)\,\nSpatial 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.\nDeadline for request of participation: 18th of November 2020\nCourse main objectives:\nThe training will provide participants with the essential tools for a correct application of some popular NS\, SM and ML methods in various STI contexts. In particular:\nML techniques proves useful for factor importance detection\, as well as for classification purposes in a model-free stance;\nNS and SM techniques are useful to identify and study structure and dynamics of large and complex STI communities;\nThe course foresees three modules (one on ML\, one on NS\, and one on SM) with the aim of balancing theory and applications. Participants will run some exercises assigned by the instructor under his supervision.\nTarget audience: \nTarget audience for this course are researchers in research policy\, higher education\, and innovation studies with a quantitative orientation\, who aim to extend their competence on ML\, NS\, and SA analysis.\nSenior scientists\, early career researchers and PhD students at the last phase of their training;\nOfficers from the policy making level;\nResearch associations.\nCourse prerequisites:\nKnowledge on basic principles of statistics\nInterest in STI studies\n  \nCall for application and programme\nForm for submission\nContact person: Dr Marco De Biase (CNR-IRCrES)
URL:https://www.risis2.eu/event/risis-online-school-on-tools-and-methods-for-analysing-complex-science-technology-and-innovation-sti-systems/
LOCATION:ONLINE FORMAT
CATEGORIES:RISIS Training,Summer School
ATTACH;FMTTYPE=image/jpeg:https://www.risis2.eu/wp-content/uploads/2020/10/image-school-website-e1602264926381.jpg
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