About WBG
The World Bank Group works in every major area of development. We provide a wide array of financial products and technical assistance, and we help countries share and apply innovative knowledge and solutions to the challenges they face.Activities by WBG
Support for the Implementation of the Public Administration Reform and Modernization Plan
Latin America and the Caribbean Dominican RepublicThe project intends to leverage machine learning by implementing machine learning services, developing data analytics dashboards, and reengineering systems to enable successful scalability. These activities indicate a focus on using AI/ML techniques to enhance management systems and platforms, as well as to support decision-making processes through data analysis and modeling. The project’s emphasis on machine learning implementation services suggests a strategic integration of AI/ML to improve project outcomes.
Activity Type AI Tools/SolutionsInfrastructure/Systems DevelopmentPredictive Performance of household poverty models using Machine Learning
Africa, Asia and the Pacific, Europe and the Commonwealth of Independent States, Latin America and the Caribbean AfricaAsiathe Americasand EuropeHousehold surveys give a precise estimate of poverty; however, surveys are costly and can only be fielded infrequently. This project aims at comparing the predictive performance of models based on globally available, spatially referenced public and private sector data sources that have been used to estimate poverty. We include daytime and nighttime satellite imagery, Facebook marketing data, OpenStreetMap data, among other sources. The project trains a machine learning model to predict levels and changes in poverty relying on ground truth poverty data across 82,000 villages and 59 countries, spanning Africa, Asia, the Americas, and Europe. Globally, the model explains over 60% of the variation of an asset-based poverty index at the village level and over 70% of the variation at the district level; in some countries, the model explains over 90% of the variation in poverty at the district level. Features from OpenStreetMaps, nighttime lights, and daytime imagery are most important in explaining poverty, where some features from Facebook Marketing data—such as the proportion of active Facebook users with interests in restaurants and luxury goods—are highly (negatively) correlated with poverty across most countries. Accuracy for predicting changes in poverty is lower, but the model explains above 25% of the variation in poverty in some countries. The model performs best in lower income countries and in countries with more variation in levels/changes in poverty.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsBusiness environment guide and diagnostics
Europe and the Commonwealth of Independent States DenmarkGreeceThis project developed a business environment operational guide for project teams and a framework for a business regulation diagnostic framework to inform World Bank Group analytics and facilitate the design of business environment reform programs. The guidance note on Data Driven Company Registry takes a deep dive into the frontier developments in the use of data, AI and other emerging technologies for company and business registration. The note summarizes key regulatory policies, presents an initial maturity model, and an implementation approach with a high-level roadmap. The note benefits from lessons learned from successful pilot projects (Denmark and Greece). It explores AI-augmented real-time company registration and the use of AI for the prevention of fraudulent behavior. It complements the chapter on Regulatory Technology Data and G2B in the Business Environment Operational Guide.
Activity Type Policy/Regulatory GuidanceResearch/Reports/AssessmentsAI Tools/SolutionsPeru: Strengthening of the Public Health Emergency Preparedness and Response
Latin America and the Caribbean PeruThe project is leveraging artificial intelligence and machine learning in multiple ways. It includes training and technical assistance in areas such as bioinformatics, mathematical modeling, climate impacts on health outcomes, and the application of artificial intelligence to health. Additionally, highly specialized software platforms, big data, and machine learning platforms will be developed for analytical work and simulation modeling. This demonstrates a clear integration of AI/ML techniques to strengthen human resource capacities and improve the national surveillance and disease prevention system.
Activity Type AI Tools/SolutionsTechnical Assistance