Artificial Inteligence for identification of social vulnerability

Publications Bank of innovations

Artificial Inteligence for identification of social vulnerability

City of Espoo

Foto: City of Espoo

Big Data Analysis through Artificial Intelligence (IA) of multiple demographic databases to identify which people in a municipality need social help. This is a successful experiment carried out in 2017 by the City of Espoo (Finland), which has analyzed the social, health, and educational data of the entire population of the municipality, around 520,000 people, between the years 2002 and 2016.

Population data has been analyzed grouped according to various family environments, rather than by traditional methods of individual analysis. The results have allowed to identify, for example, 280 predictive factors in the field of childhood vulnerability and to show that, although none of these individual factors is a risk, the simultaneous occurrence of several factors can be a risk.

This pioneering experience of the Espoo City Council has shown that the analysis of a large volume of data from different origins through Artificial Intelligence techniques can play a very important role in the future of Social Services.


Banc d’innovacions

Projecte e-Fabrik - Joves col·laboren amb persones amb discapacitat per crear ajuts funcionals

E-Fabrik, innovative and solidarity solutions for people with disabilities

E-Fabrik is an innovative initiative that brings together young people and individuals with disabilities in a creative community with the aim of jointly conceiving solutions to address the challenges faced by people with disabilities in their daily lives.
Imatge d'una habitant del projecte Llar Casa Bloc a l'entrada de l'edifici.

Llar Casa Bloc, Social Housing and Support for Empowering Individuals in Vulnerable Situations

“Llar casa bloc” is a social housing network project promoted by Hàbitat3, providing social support and technological resources to promote autonomy and empowerment among its residents.