Makerere University researchers have developed a new deep learning framework that could transform flood preparedness in regions with limited hydro-meteorological data. The study, published in the Journal of Hydrology, introduces Time-Varying Dynamic Model Averaging (TV-DMA), a method that improves river flow prediction by dynamically adjusting model weights based on predictive errors. The innovation is particularly...Read More

Makerere University on 10th September 2026 hosted partners and government stakeholders at Kampala Fairway Hotel for the official high-level kick-off meeting of the Facilitating Local Organic Waste Exchange for Regenerative Systems (FLOWERS) Project. The two-year research initiative (2026–2028) is funded by the Climate and Clean Air Coalition (CCAC) and implemented by the Swiss Federal Institute of Technology...Read More