Welcome to the DSA 2026 Workshop Schedule, where cutting-edge research meets practical innovation in data science and artificial intelligence. Held at Makerere University, Kampala, Uganda, the two-day workshop brings together researchers, practitioners, industry leaders, and innovators to present original research, exchange ideas, and discuss emerging technologies shaping Africa's AI landscape. The programme features keynote presentations, technical paper sessions, poster presentations, and interactive discussions spanning foundational data science, Generative AI, African language technologies, responsible AI, cybersecurity, data governance, and impactful applications across healthcare, agriculture, education, finance, climate, and beyond. Explore the full schedule below and plan your participation in an engaging forum dedicated to advancing data-driven solutions for Africa.

Welcome to the DSA 2026 Summer School Schedule, your guide to days of immersive learning, collaboration, and innovation at Makerere University, Kampala, Uganda, from 20–24 July 2026. The programme brings together leading researchers, industry experts, and practitioners to deliver a blend of keynote addresses, plenary sessions, and hands-on parallel tracks covering today's most impactful areas of data science and artificial intelligence. Participants will explore topics ranging from Python for Data Science and Machine Learning Fundamentals to Generative AI, Large Language Models, Agentic AI, AI on the Edge, African Language Technologies, Responsible AI, and real-world AI applications, while engaging in networking opportunities and knowledge exchange with peers from across Africa and beyond.

We are pleased to announce the Data Science Africa 2026 Summer School, an intensive 3-day program designed to equip students and early-career researchers with practical and theoretical foundations in modern data science.

The DSA 2025 Summer School was designed for graduate students, researchers, and professionals working with large-scale or unique datasets. This intensive program, featured both introductory and advanced lectures in data science and machine learning, as well as hands-on practical sessions. Participants gained valuable experience in data wrangling, data munging, and applying cutting-edge machine learning techniques to derive insights from data.