Machine learning as a citizen science tool to improve the quality of life of older people and their caregivers.

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The project aims to bring the research done by scientists in the fields of psychology and computer science to society in a participatory and accessible way, through an issue of social interest such as the early detection of loneliness, social isolation and stress in older adults. Data will be provided by citizens, and this same data will be analysed by citizens by means of tools based on Machine Learning and Artificial Intelligence.

The project will be carried out in three phases. In the first phase, the data needed to train the Machine Learning algorithms will be provided collectively by the volunteers through the use of their mobile phones and attractive applications based on a based-voice application (chatbot). In the second phase, collaborative data tagging will be done before training the Machine Learning algorithms. In the third phase, the tagged data will be used to train the Machine Learning algorithms that. Professionals, caregivers, older people and society in general might use the tool by experimenting with data provided by them to find out the degree of loneliness, isolation, well being and stress that can be found in these data. Participants will be initiated into the knowledge and research methods of the techniques of Automatic Learning and Artificial Intelligence in general in an educationally innovative way.

Location
Spain

Keywords

Main info

Host: University Jaume I
Start date: 02/09/2019
End date: 31/07/2020
Status: Active
Date created: 07/04/2020
Date updated:07/04/2020
Website: https://gerontec.uji.es

Geography

Latitude: 39.993356

Longitude: -0.068294

Participation

This project can be done at home

How to participate: Please, if your are willing to participate in this project, follow the guides lines at https://gerontec.uji.es/wordpress/participacion/

Needed equipment:Smart phone with Internet connection.

Funding

Funding body:
Funding program:Convocatoria de ayudas para el fomento de la Cultura Científica, Tecnológica y de la Innovación.

Origin information

Origin database:
Origin UID:
Origin URL:

Further info

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