How communities
make decisions
I study what happens to collective decision-making when AI enters the room: how information diversity shifts, whose knowledge gets heard, and what the group loses or gains. Doctoral fellow at the TCD-TUD SOHAM Centre, with a background in agricultural science and computational methods.
The short version
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. Before this, I earned a Master's in Collective Intelligence from Mohammed VI Polytechnic University in Morocco, where I researched how smallholder farming communities make collective decisions. I grew up in Nigeria and studied agricultural science at LAUTECH.
Three countries, three intellectual traditions. The connecting thread is a recurring question: how do groups of people arrive at good decisions, and how can technology support rather than distort that process?
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.
How does AI change the way groups think together?
My doctoral research investigates what happens to group dynamics, information diversity, and collective accuracy when AI systems mediate decision-making. When everyone in a group consults the same AI, individual judgments improve but the group's ability to correct errors can degrade.
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.
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.