CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This project aims to develop a methodology using spatial machine learning to identify vulnerable young children in areas with outdated survey data. It integrates child development, satellite imagery, and machine learning to inform targeted interventions for poverty reduction.
Horizon Europe seeks to achieve the UN’s Sustainable Development Goals (SDGs).
The WHO–UNICEF–Lancet Commission suggests placing children at the center of the SDGs, because children are among the world’s most vulnerable and marginalized population.
Child indicators calculated with surveys are limited because surveys can be outdated and do not cover all the regions of a country.
In this context, the objective of the project is to develop a methodology to overcome this limitation and identify vuln…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
LE FONDS DES NATIONS UNIES POUR L'ENFANCE - UNICEF
United States, New York
Type: Public body
Activity type: Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.
Guests see up to 5 keywords.