The International Telecommunication Union (ITU) has partnered with Zindi to develop solutions to important global challenges through a series of data science competitions hosted by AI for Good. In these challenges, hundreds of data scientists from around the world build complex machine learning models to help map potential climate disasters, predict and reduce energy consumption, and address the Sustainable Development Goals (SDGs) in innovative ways.
“Digital inclusion is a shared responsibility, as recently stated by HUAWEI Technologies CEO, David Li. For everyone to be involved and contribute to achieving the sustainable development goals, data science and advanced analytics is a prerequisite,” says Celina Lee, CEO of Zindi.
Here are some of the ways that these projects are making a difference.
Predicting air pollution for public health
Zindi and ITU have created a data science competition to use machine learning to produce air pollution susceptibility maps in Milan, Italy, which will support local government decision-making to improve the public health and resilience of the city. Zindi believes that through studying our available data and creating predictive models, the world can become a better and safer place for all. To participate in the competition as a data scientist, go to https://zindi.africa/competitions/geoai-challenge-for-air-pollution-susceptibility-mapping.
Disaster prevention and supporting agriculture around the world
Accurate and up-to-date crop maps are essential for agriculture as well as other relevant fields, such as natural resources, environment, health, and sustainability. Cropland extent maps are the basic products that allow for practical agricultural applications. Through this competition, Zindi and ITU are enabling a more precise and comprehensive understanding of agricultural landscapes worldwide. https://zindi.africa/competitions/geo-ai-challenge-for-cropland-mapping-with-satellite-imagery
Making networks more efficient reduces energy consumption
It is estimated that digital technologies directly benefit 70 percent of SDG targets, and this collaboration is showing how advanced technologies like AI can come from anywhere in the world to solve these global challenges. Through this ongoing collaboration with AI for Good, Zindi is providing the tools and platform for everyone who wants to be a part of the solution.