Opendata, web and dolomites

HoMe SIGNED

Historical Grounding of Migration Decisions of the People at Environmental Risks

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "HoMe" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAET DRESDEN 

Organization address
address: HELMHOLTZSTRASSE 10
city: DRESDEN
postcode: 1069
website: http://www.tu-dresden.de/

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 264˙669 €
 EC max contribution 264˙669 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-GF
 Starting year 2020
 Duration (year-month-day) from 2020-05-01   to  2023-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET DRESDEN DE (DRESDEN) coordinator 264˙669.00
2    REGENTS OF THE UNIVERSITY OF COLORADO US (Boulder CO) partner 0.00

Map

 Project objective

The HoMe (Historical Grounding of Migration Decisions of People at Environmental Risks) project will provide insights on historical reasons of migration decisions (to migrate or to not migrate) of people at environmental risks. Current research on environmental migration claims that mostly the poor are migrating due to disaster. However, motivations of environmental non-migration go beyond resources constraints and are understudied and not yet understood as migration decisions. The factors contributing to non-migration are supposed to be not simply the inverse of those that motivate to migrate. Rather it is assumed, non-migration is also influenced by the settlement history of a community. Going beyond the state-of-the-art, this project will develop for the first time an analytical framework using Ostrom’s socio-ecological system framework for examining the historical grounding of migration decisions. Second, it will model how changes of the social, political and environmental conditions over time influence migration decisions using agent-based modelling. Third, the model will be used to explore possible future migration decisions based on alternative scenarios of changing societal and environmental conditions in the future making use of the findings from the influence of the historical grounding. This novel and timely study will significantly advance scientific knowledge on environmental migration and the respective modelling capabilities, particularly in the emerging field of 'Environmental Non-Migration'. Results will provide a major contribution to global adaptation policy frameworks, including the SDGs and the EU’s Agenda on Migration. The realisation of this cutting-edge project will substantially support the applicant to achieve higher level of professional maturity. It will be hosted by two excellent, highly experienced and internationally renowned institutes: University of Colorado Boulder (outbound) and Technische Universität Dresden (inbound).

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "HOME" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "HOME" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

DEAP (2019)

Development of Epithelium Apical Polarity: Does the mechanical cell-cell adhesions play a role?

Read More  

ORIGIN (2019)

Origin: reconstructing African prehistory using ancient DNA

Read More  

GLIOHAB (2019)

Multiparametric imaging of glioblastoma tumour heterogeneity for supporting treatment decisions and accurate prognostic estimation

Read More