BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//RISIS 2 - ECPv5.16.4.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:RISIS 2
X-ORIGINAL-URL:https://www.risis2.eu
X-WR-CALDESC:Events for RISIS 2
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20230220T140000
DTEND;TZID=Europe/Rome:20230224T170000
DTSTAMP:20260406T070648
CREATED:20220916T152054Z
LAST-MODIFIED:20221205T130929Z
UID:9387-1676901600-1677258000@www.risis2.eu
SUMMARY:RISIS Data Science Winter School on Tools and methods for analysing complex Science\, Technology and Innovation (STI) systems
DESCRIPTION:The RISIS Data Science 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)  and will take place in Rome from 20th to 24th of February 2023. \nDeadline for request of participation: 30th of November 2022 \nCourse main objectives: \n\nThe training will provide participants with the essential tools for a correct application of some popular NS\, ML and SM methods in various STI contexts. In particular: \n\n\n•        ML techniques proves useful for factor importance detection\, as well as for classification purposes in a model-free stance; \n\n\n•        NS 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 NS\, one on ML\, and one on SM) with the aim of balancing theory and applications. Participants will run some exercises assigned by the instructor under his supervision.\n\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 NS\, ML and SM analysis. Basic requisites for admission will be: \n\nKnowledge on basic principles of statistics;\nInterest in STI studies.\n\nThe course is addressed to: \n\nSenior scientists\, early career researchers and PhD students at the last phase of their training;\nOfficers from the policy making level;\nResearch associations.\n\nParticipants will be asked to bring their PC (with RStudio software installed) when attending the course. It is possible to download the RStudio software here. \n  \nCall for application and programme \n  \nForm for submission \n  \nContact: Dr. Antonio Zinilli\, Dr. Marco De Biase and Dr. Alessia Fava (IRCrES-CNR)  \nwinter.school@ircres.cnr.it
URL:https://www.risis2.eu/event/risis-data-science-winter-school-on-tools-and-methods-for-analysing-complex-science-technology-and-innovation-sti-systems/
CATEGORIES:RISIS Training,Summer School
ATTACH;FMTTYPE=image/jpeg:https://www.risis2.eu/wp-content/uploads/2022/09/Presentazione-standard1-e1663340654577.jpg
END:VEVENT
END:VCALENDAR