Build an AI-powered Poverty Eradicator

By Keith McAleer | August 30, 2018

Contact: James Hodson, james@hodson.io

Short Description: SDG01 aims to implement nationally appropriate social protection systems and measures for all. Build an AI system that identifies the needs of asymmetric demographic changes in communities.

Detailed Description: Today, 13% of the global population consists of people aged 60 or over. Although Europe has the greatest percentage (25%) of population in this age group, rapid ageing will occur in other parts of the world as well. By 2050, all regions of the world, except Africa, will have 25% or more of their populations aged 60 and above. This worldwide ageing will result in a decline in working-age populations that will cause major challenges for some economies and government budgets. Therefore, social security systems, especially in Europe, will come under serious pressure (SFA 2017 Report, p. 36).

The objective of this project is to model asymmetric demographic change in communities to identify the need to build an appropriate infrastructure for elderly and develop social programs for population living in the area. Projects will include Machine Learning models, data management platforms, and visualization engines to allow communities to interact with the data and assist in decision making. Successful projects will have the opportunity to present their products in front of community leaders, researchers, and policy-makers at the AI for Good Foundation Global Conference in 2019!

Possible Data Sets:

The World Bank: https://data.worldbank.org/topic/poverty

Global Partnership for Sustainable Development Data: http://www.data4sdgs.org/

OECD Data: https://data.oecd.org/inequality/poverty-rate.htm

Data.Gov: https://catalog.data.gov/dataset/demographic-statistics-by-zip-code-acfc9

Data.Gov: https://catalog.data.gov/dataset/directory-of-multi-purpose-senior-centers

Global Open Data Index: https://index.okfn.org/dataset/statistics/

Eurostat: here.

European Data Portal: https://www.europeandataportal.eu/en/homepage

The World Bank: https://data.worldbank.org/region/european-union

Data Science Central: Here.

UN DESA: http://www.un.org/en/development/desa/population/publications/dataset/index.shtml