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…
The Online Training on Machine Learning using Stata with applications to RISIS datasets is organized by IRCrES, Research Institute on Sustainable Economic Growth of the National Research Council of Italy and will take place on online platform on 23 November 2022. Deadline for request of participation: 14th of November 2022. Course main objectives: In this one-day course, after an introductory lecture on Machine Learning for the social sciences, two related Stata modules, r_ml_stata_cv and c_ml_stata_cv will be illustrated…
The 9th RISIS Policymakers Session will take place on the 3rd December in an online format (11 am – 13 am) with a presentation of Dr. Abdullah Gök (University of Strathclyde), entitled What is really social innovation in practice? aiming to explore the complex dimension of Social Innovation and in particular to analyse the correspondence of the different definitions of Social Innovation, using RISIS-ESID European Social Innovation Database. Dietmar Lampert, Centre for Social Innovation, is involved as discussant. ESID is a…
RISIS is enlarging its datasets family launching ESID, European Social Innovation Database that utilizes advanced machine learning and natural language processing techniques. RISIS ESID is a comprehensive and authoritative source of information on social innovation projects and actors in Europe and beyond. The main goal: to collect information about social innovation projects and actors from the publicly available information on the web. ESID also uses limited human annotation to train its machine learning models and…
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…
