AIMS AND PARTNERS

The project Artificial intelligence facing Multidimensional Poverty in Elderly (AMPEL) focuses on the use of cutting edge technologies in Artificial Intelligence (AI), Machine Learning (ML), data analysis and data visualization to identify the risk of poverty in elderly people, relying on multidimensional indicators, learned from heterogeneous sources of information. 

The main target of AMPEL focused on elderly at risk of multidimensional poverty, a novel approach in fighting poverty enhancing the comprehension of dimensions of living not merely related to economic/financial factors (incomes), but also different disadvantages afflicting longeve people. 

The focus on financial resources alone does not capture people’s needs and quality of life. Being poor means ialso a lack of access to resources enabling a minimum standard of living and participation in the society. Elderly people are likely to require help with some or all everyday activities and the total costs of this help can be very high and absorb a significant amount of their income, especially when they are alone and not in good health. 

The focus on financial resources alone does not capture people’s needs and quality of life. Being poor means ialso a lack of access to resources enabling a minimum standard of living and participation in the society. Elderly people are likely to require help with some or all everyday activities and the total costs of this help can be very high and absorb a significant amount of their income, especially when they are alone and not in good health. 

The availability of a great ammount of data collected during the experience of pandemic could reveal indicators of such dimensions through the application of the innovative AI-based technologies allowing the development of realistic plans based on the envisioning of risk of multidimensional poverty.