The platform integrates spatial and non-spatial datasets to visualize disparities in health service access and inform health planning and resource allocation. A machine learning model is used to estimate travel times to the nearest health facility, enabling more accurate estimation of real-world travel times compared to conventional static routing.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis subgroup of the Data Science Cell is looking at understanding and developing data science methods for improved situational awareness during a crisis. The goal is to produce a literature review of current methods, analyze gaps, and develop new methods.
Activity Type Research/Reports/AssessmentsNetworks/Mentorship/ExchangeThe AI4D Research Bank will leverage various geospatial analytic solutions to help fill in and augment data gaps, scaling poverty estimation efforts and air quality exploratory research, while promoting open science by giving other data scientists access to datasets and machine learning model training references. The resulting web app is designed for both data scientists and program staff, and will offer a Data Catalogue, a Model Catalogue, and API Functionality to ensure replicability. Funding for this initiative is made possible through the UNICEF Venture Fund, Office of Innovation.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsImplemented by UNICRI with support from the Walt Disney Company, this project aims to enhance AI literacy and digital resilience among young people and their caregivers. It focuses on equipping children aged 13–17 and their parents with the skills and tools to safely and consciously navigate the opportunities and risks associated with generative AI technologies. Key 2025 activities include the production of a short educational video for adolescents and a factsheet for parents and caregivers offering guidance on how to support children’s responsible use of generative AI.
Activity Type Research/Reports/AssessmentsAwareness/Advocacy