The Tanzania Climate Sensitive Waterborne Diseases Dataset for Predictive Machine Learning (ACHE Project) conducted its inception meeting at Morogoro Municipality on 31st July 2023. The project aims to collect data that will be used to predict climate-sensitive waterborne infectious disease outbreaks such as Ameobiasis, Diarrhea, and Typhoid, using Artificial Intelligence (AI) technology. The project is...Read More

The Department of Informatics and Information Technology (DIIT) in the College of Natural and Applied Sciences (CoNAS) at the Sokoine University of Agriculture (SUA) is making waves in technological innovation, thanks to the ingenuity and dedication of its young and vibrant staff. Over the past three SUARIS calls for proposals, the department has won 10...Read More

A team comprising Dr. Neema N. Lyimo, Dr. Joseph P. Telemala, Dr. Silivia F. Materu, Dr. Kadeghe G. Fue, and collaborator Dr. Ndimile C. Kilatu has been awarded a grant of 79,247.41 USD to carry out a project on climate and health. The project’s details are outlined below. Tanzania Climate Sensitive Waterborne Diseases Dataset for...Read More