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Digital Twins for Democracy

Digital twin technology is revolutionising how we understand and govern complex social systems. Our research develops sophisticated virtual replicas of communities, institutions, and democratic processes that allow policymakers to test interventions before real-world implementation. By modelling how policy changes ripple through interconnected social networks, we help governments and organisations make more informed, equitable decisions that account for diverse community needs and avoid unintended consequences.

Overview

Digital twins—virtual replicas of complex systems—offer transformative potential for democratic governance. Our research develops simulation environments that model the intricate dynamics of social and political systems, allowing policymakers to test interventions before implementation and understand potential consequences across different communities. By combining agent-based modelling with real-world data, we create tools that can forecast how policy changes might affect different populations, identify unintended consequences, and optimise for equitable outcomes. This work supports more transparent, evidence-based decision-making that serves all members of society.
Digital network visualization representing complex systems modelling

Research Focus Areas

Agent-Based Social Modelling

Creating sophisticated models of how individuals and groups interact within democratic systems.

Policy Impact Simulation

Testing proposed policies in virtual environments to predict outcomes before real-world implementation.

Participatory Governance Tools

Developing platforms that allow citizens to engage with and understand policy simulations.

Equity-Centred Design

Ensuring simulations account for differential impacts across communities and demographics.

Related Publications

Collaborate With Us

Interested in partnering on digital twins for democracy research? We welcome collaborations with academic institutions, NGOs, and policymakers.