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14TH

DSA 2026

Makerere University, Uganda

THEME

"Foundational and Practical Data Science in the Age of Generative AI”

DATE

July 20th - 24th, 2026

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2026 Speakers

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Prof. Ciira Maina
Senior Lecturer and Director, Center for Data Science and AI Dedan Kimathi University of Technology
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Dr. Dina Machuve
Co-Founder and CTO DevData Analytics
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Dr. Ernest Mwebabze
Director Sunbird AI
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Prof. Elaine Nsoesie
Assistant Professor Boston University
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Dr Joyce Nabende
Makerere University
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Dr. Moses Thiga
ICT Director, Egerton University
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Amutorine Morine
DataSphere Uganda
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Prof. Neil Lawrence
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Dr. John Quinn
Director of Research Sunbird AI / Google Research
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Ahmed Olanrewaju General Chair
DSA 2025 University of Ibadan
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Lillian Wanzare
DSA 2025 Maseno University DSA 2025
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Nakasi Rose
Program Chair, DSA 2025 Makerere University
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Adeola Zainab Lawal
Program Chair, DSA 2025 Women in AI, Nigeria
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Oluwatomisin Dada
Program Chair, DSA 2025 University of Cambridge
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Dr. Adeleke O. Bankole
Research Software Engineer, Institute of Computing for Climate Science (ICCS) University of Cambridge UK
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Dr Success Ojo
CEO/Co-founder GMIND.AI
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Professor Olayinka
David-West Dean Lagos Business School Pan-Atlantic University
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Oluwafemi Azeez
Head of Data Science Pastel Africa
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Ezekiel Adebayo
Ogundepo Fellow Global Partnership for Sustainable Development Data
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Dr. Girmaw Abebe Tadesse
Principal Research Scientist and Manager Microsoft AI for Good Lab
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Tayo Bamiduro
Max.ng
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Dr. Victor Odumuyiwa
University of Lagos
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Dr Sakinat Folorunso
AI researcher, and senior faculty member Olabisi Onabanjo University, Nigeria
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Dr C. Bridget Ujah-Ogbuagu
Research Fellow (Tech & Innovation) National Defence College, Nigeria.
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Tejumade Afonja
Co-founder of AI Saturdays Lagos & Doctoral Researcher CISPA Helmholtz Center for Information Security
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Blessing Oladeji
CEO Octave Analytics
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Victor Olufemi
Co-founder & Chief Data Scientist LyngualLabs
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George Gekov
ARM

Event Leadership

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Prof. Engineer Bainomugisha,
DSA 2026 General Chair,
Makerere University, UG
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Dr. Aurelle TCHAGNA,
Program Chair, DSA 2026,
University of Yaounde, CMR
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Dr. Adeleke O. Bankole,
Program Chair, DSA 2026,
University of Cambridge, UK
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Dr. Godliver Owomugisha,
Program Chair, DSA 2026,
Busitema University, UG

Local Organising Committee

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Nimpamya Janat Namara,
Sunbird AI,
Communications support
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Wabinyai Fidel Raja,
AirQo / Makerere University,
Venue & Facilities coordinator
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Caroline Kantono,
Mak-AI,
Registration & Participant Services
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Sulaiman Kagumire,
Marconi Lab, Makerere University,
Materials & Supplies
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Winfred Jenifer Namuyanja,
Marconi Research and Innovation Lab,
Catering and support
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Joel Ssematimba,
AirQo / Makerere University,
Technical Support
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Alvin Nahabwe,
MU Centre for AI,
Registration & Participant Services
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Nakakande Bridget Cecile,
Marconi Research and Innovation Lab,
Student Volunteers coordination
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Tibabwetiza Muhanguzi Joel,
Sunbird AI,
Technical Support
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Simon Allan Achuka,
MU Centre for AI,
Practicals Supplies, Technical & IT support
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Wilfred Kisitu,
Busitema AI & Interdisciplinary Research Group
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Bateesa Saul Tobius,
Busitema University,
AI/ML Research Assistant
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Ann Lisa Nabiryo,
Makerere AI Lab
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Rosemary Nalwanga,
Busitema University
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Joyce Nabende,
Makerere University
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Daniel Mutembesa,
Makerere University
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Jeremy Tusubira,
Makerere University
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Dora Bampangana,
Makerere University / AirQo
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Raymond Muhindo,
Makerere University / DSA
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Summer School

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 summer school program is designed for undergraduate students, graduate students, researchers, and professionals working with large-scale or unique datasets. Background in mathematics, statistics, computer science, engineering, or related fields is essential.

Learn More

Workshop

The DSA 2026 workshop will take place at Makerere University in Kampala, Uganda (23-24 July 2026). As part of the conference program, we invite submissions to a workshop on: Foundational and Practical Data Science in the Age of Generative AI.

Learn More