How communities
make decisions
I work at the intersection of agricultural systems, collective intelligence, and AI, asking how data-driven tools can support better decisions in the communities that need them most. Doctoral fellow at the TCD-TUD SOHAM Centre.
The short version
I studied agricultural science at LAUTECH in Nigeria, then earned a Master's in Collective Intelligence from Mohammed VI Polytechnic University in Morocco, where I researched how smallholder farming communities make collective decisions. Now I'm a doctoral fellow at the TCD-TUD Centre for Sociology of Humans and Machines, investigating what happens to group decision-making when AI enters the process.
The connecting thread across all three is the same question: how do communities arrive at good decisions, and how can technology support rather than distort that process?
Three countries, three intellectual traditions. I work with both qualitative and computational methods: Python, R, agent-based modelling, and data science alongside fieldwork and participatory research.
I'm still early in my doctoral journey, which means more questions than answers. That feels right. I write about what I'm learning on my blog.
Questions I'm sitting with
These are the threads I'm pulling on. Not finished projects, but the questions shaping my thinking.
What do farmers know that institutions don't?
My master's thesis examined how smallholder farmers in Nigeria perceive cluster farming, connecting agricultural extension systems with collective intelligence methods to surface community knowledge that formal assessments often miss.
How does AI change the way groups think together?
My current research: exploring what happens to group dynamics, power structures, and cognitive biases when AI systems mediate collective decision-making.
What does Africa's emissions trajectory tell us?
A data-driven look at emission trends across 54 African countries, aimed at informing climate policy for a continent that contributes least but is affected most.
How does misinformation evolve in networks?
An agent-based model exploring how false information doesn't just spread but mutates, adapts, and finds new hosts as it moves through social networks.
Featured publication
A Community Knowledge-Based Assessment of Smallholder Farmers' Perception of Cluster Farming
How do smallholder farmers actually perceive cluster farming? This study used community knowledge-based methods to understand farmer attitudes toward collective agricultural models in Nigeria, finding that local perception and institutional assumptions often diverge.
Read on ZenodoWhere I've studied
PhD, AI-facilitated Collective Intelligence
Full doctoral fellowship. Exploring the sociology of human-machine interaction in group decision-making contexts.
MSc, Collective Intelligence
Ibn Rochd Excellence Scholarship. Thesis on community knowledge assessment in Nigerian farming communities.
BTech, Crop & Environmental Protection
Foundation in systems thinking, environmental science, and agricultural methodology.
Let's talk
I'm always interested in conversations about collective intelligence, AI and society, or cross-cultural research collaboration.