Prior to the workshop, members of AMMnet Kenya Chapter, the Faculty of Science and Technology, and representatives from the National Malaria Control Program (NMCP) paid a courtesy visit to the Vice-Chancellor, Prof. Henry Mutembei to discuss the objectives and anticipated impact of the initiative.
Throughout the workshop, participants engaged in a series of practical sessions. These included malaria data visualization in R without coding, conducted by Prof. Dennis Muriithi; exploratory data analysis (EDA) and visualization using real-life malaria datasets, facilitated by Dr. Mark Okongo and Mr. Lumumba Victor; and an introduction to artificial intelligence and machine learning applications in malaria modeling, presented by Dr. Edna Too and Mr. Lumumba Victor. Additionally, Prof. Muriithi provided expert guidance on the development of machine learning algorithms aimed at predicting malaria risk.
Photography of Chuka University Management (Vice Chancellor. Prof. H. Mutembei and Deputy Vice Chancellor. Prof. G. Nduru), NMCP representative and AMMnet members led by Prof. D. Muriithi and Prof. M. Okongo during Courtesy call in the Vice Chancellor Office
Photography of Workshop Participants and Trainers during the Opening Ceremony with the Vice Chancellor (Center with black suite) at the training venue (Center for Data Analytics and Modeling, Chuka University-Kenya).
Photography of workshop participants during hands-on malaria modeling practical session at the Center for Data Analytics and Modeling, Chuka University-Kenya
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