Collaborating Authors


Shamim Nabuuma Kaliisa: survivor takes on cancer with AI


When Shamim Nabuuma Kaliisa first had chest pain, she was in the second year of her medical degree at Makerere University (Kampala, Uganda). She was diagnosed with breast cancer when she was barely in her 20s. "Being told that you have cancer is one of the worst things anyone can hear", she told The Lancet Oncology. "It comes with a feeling of not having a future, with the imagination of pain until death." Luckily, at stage I, her breast cancer was treatable, but the pain she went through during the long treatment process was unbearable.

Can tech giants bring the AI fight to climate change? - TechHQ


Concerned that the majority of air quality issues affected those in low-income countries, the team developed a solution called AirQo, an initiative that combines human ingenuity, AI models, and boxes packed with air monitoring technology to predict pollution patterns in Kampala. Air sensors on buildings and moto-taxis collect swathes of pollution data, and cloud-based AI software swiftly analyses it to make air quality forecasts. These predictions are passed to government agencies, who can work to improve air quality and reduce the risk of exposure within local communities. The research team hopes that one day this technology will reduce pollution on streets across the continent so that this generation and the next will know what it means to breathe fresh air.

How researchers are using AI to reduce air pollution in Uganda - Google


Along with a dedicated team of students, Engineer installs air sensors on top of buildings and the backs of motorbike taxis ― known as boda bodas and one of the city's most common forms of transportation ― to collect pollution data from all over the city. The team then uses cloud-based AI software to analyze air particle data in real-time and predict local pollution. These forecasts offer Kampala's communities a way to reduce their risk of exposure and are being used by government agencies to improve air quality on the ground. Engineer and the team at Makerere University are one of 20 organizations selected from more than 2,600 applicants to receive a grant through the Google AI Impact Challenge: the Through this program, the Makerere team also received coaching and mentorship from Google and DeepMind AI experts over the course of a 9-month AI accelerator.

Registration • Data Science Africa Kampala 2020


Data Science Africa summer school is aimed at equipping participants with Machine Leaning, Data Science and Artificial Intelligence skills. This will be organised in sesions and after each session there will be exercises to assess the learning. To this end, we require that participants are well versed with the basics of the technologies and languages that will be used in the summer school. Particularly, we want to make sure participants have sufficient base skills in Python programming, Data science and Machine learning. You are required to download the notebook from the link below (by clicking it), complete the notebook and then fill out the registration form below that requires you to upload the completed notebook.

Machine Learning for a Low-cost Air Pollution Network


We consider the example of a deployment of an air pollution monitoring network in Kampala, an East African city. Air pollution contributes to over three million deaths globally each year(Lelieveld and others, 2015). Kampala has one of the highest concentrations of fine particulate matter (PM 2.5) of any African city Mead (2017) Hence we know little about its distribution or extent. Lower cost devices do exist, but these do not, on their own, provide the accuracy required for decision makers. In our case study, the Kampala network of sensors consists largely of low cost optical particle counters (OPCs) that give estimates of the PM2.5 particulate concentration.