🤖 AI Summary
This study addresses the crisis of democratic institutions marked by eroding public trust, inequitable participation, and insufficient accountability by proposing a Programmable Participatory Governance (PPG) framework. For the first time, PPG formally integrates deliberative democratic theory with decentralized computational architectures. Drawing on institutional economics, cryptographically verifiable mechanisms, and distributed systems design, the framework establishes a scalable, auditable, and institutionally compatible model for enhanced governance. Through formal specifications and simulation-based architectural evaluation, the research demonstrates that PPG effectively supports large-scale citizen co-decision-making while preserving procedural integrity and institutional resilience.
📝 Abstract
Public confidence in democratic institutions has declined across many OECD countries over recent decades, while political participation and policy influence remain unevenly distributed across socioeconomic groups. Concurrently, democratic backsliding, declining electoral participation, and persistent concerns regarding institutional transparency and accountability have raised questions about whether existing governance structures are capable of sustaining broad-based legitimacy in complex modern societies. These developments motivate a central institutional design question: can governance systems be restructured to expand participation, improve transparency, and strengthen accountability without undermining stability or decision quality?
This thesis proposes Programmable Participatory Governance (PPG), a formal governance framework designed to address these institutional deficits through the integration of democratic theory, institutional economics, and cryptographically verifiable distributed systems. PPG synthesises insights from deliberative and participatory democracy, collective action theory, direct democratic governance, and distributed computation to define a programmable architecture for transparent, verifiable, and scalable civic coordination.
The framework is formally specified and evaluated through simulation and systems-oriented architectural analysis. The thesis examines how programmable governance mechanisms can support participatory decision-making while preserving procedural integrity, auditability, and institutional resilience under conditions of large-scale coordination. The objective is not to replace existing democratic institutions outright, but to explore how computationally mediated governance structures may augment or improve contemporary democratic processes in contexts where conventional institutions exhibit persistent structural limitations.