Collective Intelligence & Group Decision-Making
Exploring how groups make decisions together, the factors that enhance or hinder collective intelligence, and the social dynamics that shape collaborative thinking processes.
Research
As a first-year PhD student at the TCD-TUD Centre for Sociology of Humans and Machines (SOHAM), I am beginning to explore the intersection of artificial intelligence and collective intelligence. My research is grounded in sociological perspectives on technology and human-machine interaction, with particular attention to understanding how AI systems can support collaborative thinking and group decision-making processes.
My work draws on cross-cultural experiences across Africa and Europe, bringing diverse perspectives to questions about collective intelligence, bias in decision-making systems, and the social dynamics of human-AI collaboration. As I develop my doctoral research, I am particularly interested in examining how different cultural contexts shape the ways groups interact with AI technologies and make collective decisions.
Current PhD Research
AI-facilitated Collective Intelligence and Bias in Group Decision-Making
My doctoral research explores how artificial intelligence can facilitate collective intelligence while addressing bias in group decision-making. As a first-year PhD student, I am developing my research through literature review and preliminary investigations into the sociological dimensions of human-machine interaction in collaborative contexts.
The research focuses on understanding group dynamics from a sociological perspective, examining how AI systems can support collective thinking processes while being attentive to potential biases that emerge in both human groups and algorithmic systems. I am particularly interested in how different social and cultural contexts shape these dynamics.
Emerging Research Questions
- How do AI systems influence group dynamics and decision-making processes across different social contexts?
- What biases emerge when groups interact with AI-facilitated decision-making tools, and how do these vary culturally?
- How can collective intelligence frameworks inform the design of more equitable AI collaboration systems?
- What sociological factors mediate the effectiveness of AI in supporting collaborative thinking?
Research Interests
Bias Mitigation in Groups and Algorithms
Investigating biases that emerge in group decision-making and algorithmic systems, with attention to social, cultural, and cognitive factors that contribute to bias formation.
AI & Human Collaboration
Understanding how humans and AI systems collaborate, focusing on the sociology of human-machine interaction and the social implications of AI-augmented decision-making.
Participatory & Structured Forecasting
Studying methods like Delphi and scenario planning that enable structured group thinking about future possibilities and complex challenges.
Behavioral & Cognitive Science in Group Settings
Examining behavioral patterns and cognitive processes that influence how groups think, decide, and collaborate.
Social Computing & Online Communities
Investigating how online platforms shape collective intelligence, community formation, and collaborative problem-solving.
Computational Social Science
Applying computational methods to understand social phenomena, group behavior, and collective intelligence processes.
Sustainability & Climate Policy
Exploring how collective intelligence approaches can inform sustainable development and climate policy decision-making.
Cross-cultural Perspectives in AI Research
Bringing diverse cultural perspectives to AI research, informed by experiences across African and European contexts.
Research Projects
Completed Projects
A Community Knowledge-Based Assessment of Smallholder Farmers' Perception of Cluster Farming
CompletedThis research investigated how collective intelligence principles can improve agricultural decision-making in smallholder farming communities in Nigeria. The study used community knowledge-based assessment methods to understand farmers' perceptions and acceptance of cluster farming as a sustainable model for accessing farmer-centric support.
Youth Employability Program Evaluation
CompletedEvaluation of youth employability interventions in Morocco using rigorous experimental methods to assess program impact and effectiveness.
Work in Progress
Africa's Emissions Trajectory: A Global Analysis
In ProgressComprehensive analysis of emission trends across 54 African countries to inform climate policy and sustainable development strategies. The study examines trajectories, patterns, and policy implications for the continent.
Modeling Misinformation's Transmission and Transformation
In ProgressComputational model examining how misinformation spreads and evolves through social networks using agent-based modeling approaches to understand information dynamics.
Collaboration Opportunities
I welcome collaborations on research related to collective intelligence, AI and society, group decision-making, and cross-cultural perspectives in technology research. As a first-year doctoral student, I am particularly interested in connecting with researchers working at the intersection of sociology, technology, and collective intelligence.
Research Collaborations
Joint research projects on collective intelligence and AI facilitation
Academic Discussions
Knowledge exchange and scholarly conversations
Speaking Engagements
Conference presentations and workshop participation
Mentoring
Supporting students interested in collective intelligence research