The project estimates the number of children (aged 0-17 years) globally exposed to conflict, disaggregated by sex and age groups, using geospatial analytics. It specifically applies the Conflict Exposure methodology developed by ACLED and WorldPop to calculate the exposure area based on three distinct categories of conflict events: Political Violence, Organized Violence and Demonstrations.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThis project set out to provide accurate and granular estimates of air quality for Lao PDR through the installation of 154 air quality sensors in schools across the country and the development of a machine learning model to infer air quality from geospatial and weather data. This modeling work builds upon and extends air quality modeling work previously done with partner Thinking Machines in Thailand.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsThe 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/AssessmentsAn AI BOT powered by Salesforce Einstein was deployed with WhatsApp as a channel to provide supporter care for UNICEF supporters in Uruguay. The solution has enhanced donor servicing efficiency and responsiveness, successfully handled over 3500 customer requests, and reduced the workload on the supporter care team.
Activity Type AI Tools/Solutions