Pioneering Computable Indigenous Knowledge
A specialized niche at the intersection of Artificial Intelligence, IoT, and ancestral wisdom—built for the Global South.
About ITIKI
ITIKI (Information Technology and Indigenous Knowledge with Intelligence) is an internationally recognised socio-technical modelling framework designed to bridge the epistemic data gap in data-constrained environments.
At its core, ITIKI introduces a generalisable modelling paradigm for 'computable Indigenous Knowledge', enabling the formal integration of qualitative, experiential wisdom into AI-based decision systems. This addresses a longstanding limitation in Artificial Intelligence, particularly in the Global South, by synchronizing ancestral environmental observation with the precision of Machine Learning.
Key Highlights
Predictive Accuracy
Validated accuracies across multiple implementations in drought, hydrology, and epidemiology.
Scholarly Impact
Citations across global platforms reflecting sustained intellectual uptake of our hybrid AI models.
Research Funding
Supported by multi-national funding from USAID, Government of Flanders, and international innovation grants.
The Methodological Core
Formalising Indigenous Knowledge as Computable AI.
Our foundational research established Fuzzy Cognitive Mapping (FCM) as a computational architecture for integrating Indigenous Knowledge (IK) with scientific climate models. This moves beyond simple data integration to establish a reproducible and context-aware modelling approach that is now recognised internationally within emerging hybrid AI frameworks.
Original Contribution
The conceptualisation of 'computable Indigenous Knowledge' as a formal modelling construct within AI architectures.
Operational Scaling
A universal paradigm successfully migrated from drought forecasting to infectious disease modelling and hydrology.
International Leadership & Recognition
Positioning African intelligence at the center of global AI discourse.
ITIKI's influence extends to global policy and standardisation. Beyond serving as a Lead Expert Scientist for the European Commission, our work has been featured by the world's most prominent media and scientific platforms.
TEDx Engagement
Bridging indigenous knowledge and science to end hunger.
Voice of America
Featured as Africa's 'Weather Maven', highlighting ITIKI as a tool for climate adaptation.
Microsoft Research
Technical presentation on ensemble machine learning for malaria prediction.
eNCA & SABC
National news features discussing ITIKI's 96% accuracy in drought forecasting.
British Council
Panelist for Culture Grows Symposium on Cultural Heritage, Tech, and Climate Change.
UCD Discovery
Exploring the topic of 'Returning to our Roots' in the Zoom for Thought series.
The ITIKI Living Lab
A coordinated and sustained research pipeline and research school.
ITIKI functions as an empirical validation environment—a Living Lab where mythological advances are tested and deployed in real-world contexts. Our research programme is a coordinated extension of a unified methodological approach, building capacity through a new generation of interdisciplinary researchers.
Dr. Phoobane
Infectious disease modelling through climate-health integration.
Dr. Nyetanyane
Optimizing cropping decisions via satellite-derived indices.
Dr. Erena
Hybrid AI integration with physical hydrological processes.