Introduction: Using Innovative Technologies to Tackle Methodological Challenges in Migration Research

In this introductory chapter, the editors suggest that the increasing need for rigorous data on international migration warrants enhanced co-operation between migration scholars, survey methodologists, and data scientists. Innovative information and communication technology, it is argued, may contribute substantially to improving the design and implementation of migrant surveys, and digital trace data may complement traditional data sources in promising ways. These claims are substantiated in nine contributions, all of which are based on first-hand experience with data collection and processing. Some chapters discuss innovative strategies for improving sample designs and resolving survey design issues, whereas others address the emerging role of large-scale datasets that were generated for reasons alien to migration research

Designing MOOC:a shared view on didactical principles

The innovative impact of the paper can be highlighted by the following statements: 1. Applying the Group Concept Mapping, a non-traditional and power research methodology for objectively identifying the shared vision of a group of experts on MOOC didactical principles. 2. Defining MOOC didactical principles and their operationalisations in more concrete guidelines. 3. Formulating suggestions for combining xMOOC and cMOOC.Supported by European Commission, DG EAC, under the Erasmus+ Programm

State-of-the-art analysis of the pedagogical underpinnings of open science, citizen science and open innovation activities

The document corresponds to O2A1 of the INOS Project. This state-of-theart analysis elaborates on the current state of knowledge on learning design in open science, citizen science, and innovation activities, in order to improve their pedagogical value. This includes reporting on the different types of activities, the learning design of these activities, and the learning outcomes of these activities

The Gravity Model of Forced Displacement Using Mobile Phone Data

Based on geolocalized mobile phone calls data, we study the mobility of refugees in Turkey. We employ a gravity model to estimate the determinants of refugee movements across 26 regions in 2017. To benchmark our findings, we estimate the same model for the mobility of individuals with a non-refugee status. Beyond the standard determinants such as the levels of income at origin, at destination and distances across regions, we find that networks, provision of humanitarian aid and asylum grants are important determinants of refugee mobility. Our paper deepens our understanding on how forcibly displaced people may respond to economic, social and political factors in their location decision

D1.3 List of available solutions

This report has been submitted by Tempesta Media SL as deliverable D1.3 within the framework of H2020 project "SO-CLOSE: Enhancing Social Cohesion through Sharing the Cultural Heritage of Forced Migrations" Grant No. 870939.This report aims to conduct research on the specific topics and needs of the SO-CLOSE project, addressing the available solutions through a state-of-the-art digital tools analysis, applied in the cultural heritage and migration fields. More specifically the report's scope is:To define proper tools and proceedings for the interview needs -performing, recording, transcription, translation. To analyse potential content gathering tools for the co-creation workshops. To conduct a state-of-the-art sharing tools analysis, applied in the cultural heritage and migration fields, and propose a critically adjusted and innovative digital approach