Explore 12 interdisciplinary research tracks spanning the full spectrum of AI and Data Science innovation.
RAIDS 2026 features 12 carefully curated program tracks that address critical challenges and opportunities at the intersection of artificial intelligence, data science, and sustainable development. Each track welcomes original research contributions that advance both theoretical foundations and practical applications.
Core advances in AI algorithms, neural architectures, optimization methods, and learning paradigms that push the boundaries of machine intelligence.
Methods and systems for extracting insights from large-scale, complex datasets including data mining, statistical modeling, and scalable analytics platforms.
AI applications transforming critical sectors including medical diagnostics, precision agriculture, personalized learning, and public health interventions.
Natural language processing research with emphasis on African languages, low-resource NLP, machine translation, and cross-lingual understanding.
Visual computing technologies including image recognition, video analytics, autonomous systems, and IoT sensor networks for intelligent environments.
Frameworks for ethical AI development, algorithmic fairness, transparency, accountability, and policy considerations for responsible deployment.
AI-powered security solutions, threat detection, privacy-preserving technologies, and digital identity management systems.
Urban intelligence solutions including smart transportation, energy optimization, infrastructure management, and citizen-centric services.
Generative models, large language models, creative applications, and multimodal AI systems for content generation and human-AI collaboration.
Environmental monitoring, climate modeling, sustainability optimization, and AI solutions for conservation and natural resource management.
FinTech innovations including mobile banking, credit scoring, fraud detection, and AI-powered financial services for underserved populations.
Workforce transformation, human-AI teaming, augmented intelligence, skill development, and the evolving nature of work in an AI-driven economy.
Choose your track and contribute to advancing AI and Data Science for inclusive innovation and global impact.