Data-Driven AI for Sustainable Impact
From Research to Real-World Solutions in the Global South.
The Vision
Data-driven AI learns patterns and insights directly from large volumes of quality data, enabling systems to adapt, predict, and support informed decision-making. As the Global South faces complex challenges, the strategic application of AI offers a pathway toward sustainable development, inclusive growth, and resilient societies.
Sub-Themes
- Sustainable Healthcare & Public Health
- Smart Cities & Urban Resilience
- Climate Action & Sustainability
- Security, FinTech & Digital Trust
- Smart Agriculture & Food Security
- Education & Human Capital
- AI Policy & Global South Deployment
Key Deadlines
Distinguished Speakers
- Prof. Ismail Rakip Karas
Karabuk University, Turkey - Prof. Tao Dacheng
Nanyang Tech University, Singapore - Dr. Adel Smeda
ICESCO - Dr. Olatunji Omisore
Central Queensland University, Australia - Prof. Emile Chimusa
Northumbria University, UK - Dr. Oluwarotimi Samuel
University of Derby, UK
Program Highlights
Springer Publication: High-quality selected papers are planned for a special issue of a Springer Journal.
Youth Training: A 3-day intensive program (June 15–17) on ethical AI and coding fundamentals.
TYAN Workshop: Interactive panel discussion on transforming research into scalable, ethical solutions for economic development.
Data-Driven AI for Sustainable Impact: From Research to Real-World Solutions in the Global South — focusing on healthcare, climate action, smart cities, agriculture, education, digital inclusion, and responsible AI through research, innovation, and international collaboration.
Hosted by: The Federal University of Technology Akure, NIGERIA
Host: Prof Adenike Temidayo OLADIJI, FAS
VICE CHANCELLOR
The Federal University of Technology Akure Nigeria