Deliverables
It will map a wide range of factors covering political and governance dynamics demographic trends human and socioeconomic development conflicts and the role of external actors among others The focus will then shift to the intervening factors along the main regions of transit facilitating impeding or shaping the direction of crossbordermovement such as migrant smuggling networks policies likely to impact on mobility patterns information and social network effects and human rights violations
It will conduct econometric analyses to improve the understanding of the determinants of hate speech and related phenomena For this we will rely on geographically disaggregated data at the destination country level available eg from Eurostat
It will create a multidisciplinary systematic metaanalytical overview of the state of knowledge of the past 10 years regarding the most prominent micro and macro level factors associated with variations in attitudes to immigration across individuals and across countries It will be based on a review of the literature in different disciplines such as economics sociology political science psychology and geographydemography
Monitoring project execution at an administrative level as well as ensuring the timely delivery of the regular EC reports M18 M36
In month 18 the Consortium will prepare a preliminary Exploitation Plan
It aims at better understanding the destination intentions of prospective migrants includes filtering tweets based on i trending hashtags about the current migration situations ii tweets geographical information ie mention of locations tweets location of origin and iii use of a particular language This method will also help extract the opinions of experts residing in origin host or third countries from their official twitter accounts Timebased constraints will also be provided for initial filtering whenthe migration was at its peak We will describe the dataset used in training ITFLOWS social listening system and the methodology used to prepare and annotate it in a report
It will provide evidence on the time sequence of migration from origin countries toneighbouring and transit countries which is oftentimes neglected in research despite being essential for accurately predicting migration flows Focusing on Africa we will combine displacement data provided by the IOM Displacement Tracking Matrix DTM with highfrequency information on conflict and climatic shocks in origin countries It will regress the changes in the number of displaced persons over a given period on simultaneous changes in the conflict and climate incidents to learn which time lag between the incidents and displacement has the most predictive power It will present our results along with the dataset underlying it which will also feed into the simulation of migration flows WP6
It will set out and plan for ITFLOWS communication dissemination and impact activities
The gender mainstreaming approach promoted in ITFLOWS will be detailed in a Gender Action Plan WP2 It will be devised at the outset of the project and will minimise specific inequalities that could affect the ITFLOWS project As an example panels and policy events organised within ITFLOWS will incorporate at least 50 female participantsspeakers The Gender Action Plan will also identify contexts that may place certain subgroups of migrants in a disproportionately vulnerable position and therefore in need of protection For instance it will analyse the problems and needs faced by female male and LGBTQ migrants in every phase of the migration process Gender and intersectional analysis will also provide a more accurate representation of the models andpatterns of migrants and their sociodemographic impact on EU countries WP5 This cluster will examine how gender and its intersection with other forms of discrimination affect the asylum application process and it will also reflect the social and economic contribution of migrants to the country of destination
Based on the revised mockups visual interfaces will be designed to present the simulation results Visual analytic tools will be developed for interactively exploring simulation results and collected data incorporating techniques for the correlation analysis between raw data sources and simulation These techniques will include baseline techniques such as scatter plots bar charts timelines etc as well as more sophisticated approaches including graphbased visualization models for correlation exploration and magnification techniques for focusing on specific regions
Huge number of tweets leading to computational issues will be dealt with by designing scalable methods based on distributed computing using platforms available for Big Dataprocessing such as Apache Spark Hadoop Keras etc
Searching for OpenAIRE data...
Publications
Author(s): Cristina Blasi Casagran
Published in: Human Rights Law Review, 21/2, 2021, Page(s) 433-457, ISSN 1461-7781
Publisher: Oxford University Press
DOI: 10.1093/hrlr/ngaa057
Author(s): Cristina Blasi Casagran, Colleen Boland, Elena Sánchez-Montijano, Eva Vilà Sanchez
Published in: Politics and Governance, 9/4, 2021, Page(s) 133-145, ISSN 2183-2463
Publisher: Cogitatio Press
DOI: 10.17645/pag.v9i4.4436
Author(s): Colleen Boland
Published in: Social Sciences, 10/4, 2021, Page(s) 133, ISSN 2076-0760
Publisher: MDPI
DOI: 10.3390/socsci10040133
Author(s): Chen, Yiyi; Sack, Harald; Alam, Mehwish
Published in: 1, 2021
Publisher: Cornell university
DOI: 10.48550/arxiv.2108.07593
Author(s): Stavropoulos, G., Triantafyllou, D., Makri, E., Székely, Z., Tzovaras, D.
Published in: Intelligent Technologies and Applications. INTAP 2020. Communications in Computer and Information Science, vol 1382, 2021, ISBN 978-3-030-71710-0
Publisher: Springer
DOI: 10.1007/978-3-030-71711-7_27
Author(s): Mehwish Alam, Genet Asefa Gesese, Zahra Rezaie, Harald Sack
Published in: 2020
Publisher: CEUR Workshop Proceedings
Author(s): Yiyi Chen, Genet Asefa Gesese, Harald Sack, and Mehwish Alam
Published in: 2021
Publisher: CEUR Workshop Proceedings