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This project is funded by the European Union under Horizon2020 Research and Innovation Programme Grant Agreement n°824091
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9th RISIS Policymakers Session: ESID, INVESTIGATING SOCIAL INNOVATION IN EUROPE

11.00 – 11.15 Welcome & Introduction by Emanuela Reale  IRCrES, Consiglio Nazionale delle Ricerche   11.15 – 11.50  Presentation by Abdullah  Gök   University of Strathclyde   11.50 – 12.20 Discussion with Dietmar Lampert Centre for Social Innovation (ZSI) 12.20 – 12.40 Debate  12.40 – 13.00 Wrap up: Philippe Larédo, LISIS Université Gustave Eiffel and MIOIR, University of Manchester    Agenda Policy brief | Issue #9  

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ESID, INVESTIGATING SOCIAL INNOVATION IN EUROPE

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…

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RISIS NEW DATASETS AT EU-SPRI 2021

The Eu-SPRI 2021 conference took place in Oslo in a virtual form from 9th to 11th of June.  The European Forum for Studies of Policies for Research and Innovation (Eu-SPRI Forum) aims to strengthen the researchers’ community focusing on interdisciplinary dimensions related to policy and governance in the field of knowledge creation and innovation. This edition, during which occurs the Eu-SPRI 10th Anniversary Conference, was focused on three main themes linked to the complex season we’re leaving…

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ESID, EXPLORING SOCIAL INNOVATION THANKS TO MACHINE LEARNING

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…

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