Data Scientists Battle to Create Air Quality Forecast Solution for Uganda

Data scientists are taking part in a global competition to create a computer process that will accurately predict air quality in Uganda.

The challenge named ‘The AirQo Ugandan Air Quality Forecast Challenge’ will see the winner bag a share of the $5,000 prize fund.

The winner’s air quality forecast solution will be implemented in Uganda to help the country’s environment experts make policy and planning decisions.

Over 400 data experts from countries including Tanzania, India, Nigeria, Japan, and the UAE are using information collected hourly from sensors in Kampala to accurately forecast air quality for a future 25-hour period using the Zindi data science competition platform.

The competition is organized by environmental scientists at the University of Birmingham and the AirQo project from Makerere University, Kampala, in partnership with Zindi – Africa’s largest data science competition platform focused on solving the continent’s most pressing problems.

The ability to accurately predict air quality over short time periods will empower everyone from governments to families to make informed decisions to protect health and guide people’s actions.

Professor Francis Pope, A Systems Approach to Air Pollution, East Africa Project Lead, from the University of Birmingham noted that one of the main indicators of air quality is PM2.5. Generated by traffic, industry, and burning fossil fuels, these particles are invisible to the naked eye but can cause major health problems.

The ability to accurately predict what air quality will be in “We hope that one of our competitors will devise a forecasting solution that can be put into practice – allowing people in Uganda to make decisions about their day-to-day lives based on reliable forecasts of the threat to health from air pollution,” said Professor Pope.


Until recently there has been a lack of data on air quality across sub-Saharan Africa. Reference-grade monitors are extremely expensive, and without access to data it is very difficult to raise awareness of the issues, or for government, business and individuals to know which actions to take to improve air quality and protect community health.

AirQo has built a low-cost network of sensors and collected data across 65 locations in Uganda with some sites monitoring for over three years. There is now a wealth of data that can be used to achieve impact in this critical area. Birmingham University’s ASAP East Africa project makes use of this and similar data to gain insights into the relationship between urbanisation and air quality.

Paul Green, AirQo Technical Project Manager, Makerere University noted that the competitors could see their solution significantly improve the quality of life for people in Uganda.

“With accurate forecasting, for example, if we know that the next day will see high levels of air pollution then sports or other events can be rescheduled or relocated,” Green noted

“The solution could be life-saving. Sensitive groups such as children, the elderly, sick, or those with respiratory illnesses may need to remain inside. Schools can plan the timing of outdoor activities such as field trips or sports events with confidence.”

Green added that activities known to contribute to poor air quality such as high traffic volumes, rubbish burning, cooking using charcoal and firewood, even construction or other government works could also be reconsidered depending on the forecast.

Air quality forecasts could be used to inform public awareness and be built into safety alerts, becoming part of daily news coverage or social media in the same way that the weather is currently presented.

The competition runs until 31st May this year and is supported by two projects: DAQ (Digital Air Quality) funded by EPSRC and ASAP (A Systems Approach to Air Pollution) East Africa funded by DFID. Both ASAP and DAQ are multi-disciplinary research projects led by the University of Birmingham focusing on urbanisation and air quality in East Africa, with a focus on Uganda, Kenya, and Ethiopia.

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