When groups think
with machines
I study what happens at the intersection of human collective intelligence and AI — the biases that emerge, the dynamics that shift, and the decisions that follow. First-year PhD student at the TCD-TUD SOHAM Centre.
The short version
I'm a doctoral fellow at the TCD-TUD Centre for Sociology of Humans and Machines, a joint initiative between Trinity College Dublin and Technological University Dublin. My research sits at the intersection of sociology, AI, and group decision-making.
Before Dublin, I earned a Master's in Collective Intelligence from Mohammed VI Polytechnic University in Morocco, where I studied how smallholder farming communities make collective decisions. I grew up in Nigeria and studied agricultural science at LAUTECH.
Three countries, three intellectual traditions. What connects them is a recurring question: how do groups of people arrive at good decisions — and what goes wrong when they don't?
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 as a first-year PhD student — not finished projects, but the questions shaping my thinking.
How does AI change the way groups think together?
My doctoral research: exploring what happens to group dynamics, power structures, and cognitive biases when AI systems mediate collective decision-making.
What do farmers know that institutions don't?
My master's thesis examined how smallholder farmers in Nigeria perceive cluster farming — surfacing community knowledge that formal assessments often miss.
How does misinformation evolve in networks?
An agent-based model exploring how false information doesn't just spread — it mutates, adapts, and finds new hosts as it moves through social networks.
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.
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.