Nelson Mandela, a program for reintegration to life in freedom

admin on 16 January 2020

by whereslugo on Unsplash

Program for the social reintegration of ex-prisoners, which offers personalized itineraries tailored to the needs of each participant, with both technical and personal preparation, as well as training and support activities for work integration. The goal is for those who have been released from prison to expand their competencies and improve their personal and professional skills to help them on their path to full inclusion.

The program is part of the Social Inclusion Strategy of Galicia 2014-2020, designed and funded by the Xunta de Galicia and the European Social Fund. It has been developed so far in a single prison, Teixeiro, and has benefited more than 1,500 inmates.

Aprendiendo a vivir en libertad

Characteristics of innovation

Bank of innovations, Independent living, Lab, Link with the community, New model of intervention, New service, Personalization of the service, Poverty and exclusion, Prediction and prevention, Proximity care, User empowerment

Location

Galicia, Spain

Partners / Funders

European Social Fund

Genesis

A study by SkillsforCare estimated that by 2030 the number of social workers in the United Kingdom would have to increase by 21% to 44%. In Wales, the need to attract new professionals to the Social Services sector became more evident as in 2019, only 11% of social workers were under the age of 25, while 32% were over 50.

Implementation level

The campaign is supported by the main Welsh social organizations as well as national recruitment and professional consulting agencies. A website has been created where professionals can access the job offers from public and private organizations in the social sector, while they can directly upload their job offers. The page also has numerous videos with real experiences of workers in the sector.

Further information

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PACT, Big Data tool to predict the risk of chronic social exclusion

admin on 29 November 2019

Foto: Mark Bende, Unsplash

Algoritme desenvolupat a partir de tècniques de Big data i Machine learning, que preveu el risc de les persones beneficiàries d’ajudes públiques de patir una situació d’exclusió social crònica.

L’algoritme s’ha creat a partir de l’anàlisi anonimitzada de més de 16.000 casos i de 60 factors predictius. Mitjançant l’aprenentatge automàtic (machine learning) s’han determinat els deu factors principals de risc, i s’ha desenvolupat una aplicació en línia, accessible per als professionals de Serveis Socials des de qualsevol dispositiu, ordinador, tauleta o telèfon mòbil, que permet que aquests professionals coneguin amb precisió el risc d’exclusió social d’una persona, per facilitar-los així les decisions o actuacions professionals a prendre.

A més, en el marc del projecte PACT també s’ha creat i implementat un programari per a la gestió activa de casos, basat en l’anàlisi de riscos personals. Aquesta anàlisi permet identificar millor les necessitats de formació de cada persona atesa per facilitar la seva inserció socio-laboral.