Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
University of Bristol
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4 months ago
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Incentivising Collaboration to Counteract Polarisation in Social Systems University of Bristol in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
May 31, 2026
Country
United Kingdom
University
University of Bristol

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About this position
Societal polarisation is a critical challenge in the modern world, with divisions between social, political, and cultural groups threatening the ability of societies to address shared problems. This PhD project at the University of Bristol (School of Engineering Mathematics and Technology) aims to investigate how small-scale incentives for cooperation can mitigate or reverse emergent polarisation. The research will focus on understanding the mechanisms by which homophily—individuals' tendency to interact mainly with similar others—leads to segregation and fragmentation, drawing on classic models such as Schelling’s model of segregation.
The project will model social interaction as a multi-agent system, using frameworks from coalition and network formation to study how local incentives, such as rewards for diverse collaboration, can promote stable, mixed, and cohesive structures at the population level. The research combines rigorous theoretical approaches (algorithm design, computational complexity) with practical methods (agent-based simulations, empirical data testing). Special attention will be given to budget-limited interventions, robustness under shocks, and the minimal incentive strength needed to maintain collaborative, well-mixed networks.
Another goal is to integrate findings into systems of collective or distributed artificial intelligence, addressing similar coordination and alignment challenges. The anticipated outcome is a comprehensive toolkit—both theoretical guarantees and implementable design principles—for digital platforms and community organisations seeking to foster collaboration across diverse groups.
Applicants should have a strong background in computer science, mathematics, engineering, or a related field, with excellent analytical and quantitative skills. Experience in mathematical modelling, algorithm design, or agent-based simulation is highly desirable. Proficiency in English is required, and international applicants may need to provide evidence of language proficiency.
Funding details are not specified in the position description. The application deadline is 31 May 2026. For further information and to apply, visit the project link provided.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
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