WELCOME

Intelligent tecnologies for support of the reception and the integration of migrants and refugees.

(2020-2023)

Project for the development of a multilingual personal assistant that responds to the needs for the reception and integration of migrants and refugees from countries in the Mediterranean and the Middle East, and at the same time assist the Public Authorities and NGOs specialized in decision-making and the management of reception policies.

WELCOME aims to offer personalized intelligent services in the languages of origin of these people in different European territories that have very intense migratory flows, one of which is Catalonia.

To alleviate the existing difficulties in the reception and integration of immigrants and refugees from countries in the Mediterranean and the Middle East, effective technologies are needed to provide personalized, psychologically and socially competent support. The general objective of WELCOME is to develop intelligent personalized services that act as personal assistants, interacting with users in a real-world or augmented environment, depending on the configuration, as well as to exchange information and negotiate the best strategy of assistance for the integration itinerary that each individual person needs, and for each decision that must be taken by the authorities and specialized entities of the recipient countries.

WELCOME will facilitate the communication with immigrants through agents of conversation and automatic translation, and will provide the public administrations with a platform for the implementation of inclusion policies in different dimensions of the reception and integration process: acquisition and delivery of information, support to decision, language and professional training and social inclusion.

Partners

Universitat Pompeu Fabra
Generalitat de Catalunya Secretaria d'Igualtat, Migracions i Ciutadania
Fundació iSocial
Sheffield Hallam University
Brno University of Technology
DFKI
Information Technologies Institute
CERTH
Caritas Hamm
Mind Refuge
Praksis
Everis
Kemea
Método
UFAL

Supported by

Horizon 2020

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