DSA Visiting Fellowship - Partnering with Maseno Centre for Applied Artificial Intelligence (MCAAI) and Sunbird AI
- Data Science Africa (DSA)
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Data Science Africa (DSA) continues to advance applied AI research across the continent through its Visiting Fellowship Program, which provides researchers with opportunities to gain hands-on experience, strengthen industry-relevant skills, and contribute to projects that directly impact African communities. The program emphasises practical applications of AI, ensuring that research goes beyond theory to deliver tools that serve real community needs.
DSA Visiting Fellowship 2024 - 2025
- DSA Visiting Fellowship 2024 - 2025
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The Sunbird AI - DSAIL Visiting Fellowship is an innovative, one-year joint fellowship program designed to strengthen collaboration between Sunbird AI in Uganda and the Centre for Data Science and Artificial Intelligence (DSAIL) at Dedan Kimathi University of Technology in Kenya. This initiative underscores the growing need for locally relevant AI-driven technologies tailored to Africa's unique challenges and opportunities.
DSA Visiting Fellowship 2021 - 2022
- Data Science Africa (DSA)
- Hits: 374
The Data Science Africa Visiting Fellowship presented exciting opportunities for members of the DSA community to explore and deepen their academic and professional interests through research visits to DSA partner academic institutions. This fellowship provided individuals with the opportunity to carry out independent research, build professional links, and develop their interests in data science and artificial intelligence research and policy.
DSA Visiting Fellowship 2023 - 2024
- Data Science Africa (DSA)
- Hits: 390
The Data Science Africa Visiting Fellowship presented exciting opportunities for members of the DSA community to explore and deepen their academic and professional interests through research visits to DSA partner academic institutions. This fellowship provided individuals with the opportunity to carry out independent research, build professional links, and develop their interests in data science and artificial intelligence research and policy.