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Algorithmia’s AI Layer Powers the UN Methods Service

Algorithmia is renewing its commitment to global humanitarian efforts by making powerful ML tools available to everyone.

Economic and population data are key elements of planning and decision-making in first-world countries, but access to sophisticated analytic and compute power is limited or non-existent in developing countries.

Meeting the Problem Head On

Working in conjunction with the United Nations Global Platform for Official Statistics, Algorithmia built a repository of algorithms that are readily available to any data scientist of any member state at any time. There are models for predicting economic, environmental, and social trends to enable smarter decision-making for strategies like agricultural planning, flooding probabilities, and curbing deforestation.

The United Nations Global Platform for Official Statistics sought to build the algorithm repository as part of the Sustainable Development Goals (SDGs). The SDGs aim to meet global challenges in healthcare, poverty, environmental degradation, and inequality by 2030. The algorithm repository will serve member states to “establish strategies to reuse and adapt algorithms across topics and to build implementations for large volumes of data.” UN Big Data

Building an Algorithm Marketplace for the Developing World

The UN wanted a way to share models with underdeveloped countries to curate economic, environmental, and social data to save lives and improve health and environmental conditions. Using the UN algorithm repository, for example, a developing country could model farmland satellite imagery to predict draughts, urbanization trends, or migration patterns.

Such statistical information can be used in myriad ways by both humanitarian organizations and policy-making, governmental bodies to make smarter resource-allocation decisions, better understand urban planning needs from population data, and even predict migration crop cycles using geospatial imagery.

The UN’s partnership with Algorithmia demonstrates our dedication to leveraging AI and machine learning to seek solutions to global problems. We are so looking forward to empowering the developing world, one algorithm at a time.

Read the Case Study