From Public Confidence to Civic Technology: Designing the Next Generation of Governance Analytics

Abstract

The trust to governmental institutions in the society is now the critical factor to determine good governance where the citizens determine the level of legitimacy, accountability and transparency. Due to the rapid changes in civic technology, there are new possibilities to reinforce this relationship with the help of data-driven understandings and participatory digital solutions. This paper examines how to shift away from the conventional trust-building processes to the superior governance analytics that are able to track the real-time population mood, in constituency work, and patterns of civic participation. It offers a new-generation analytics system, combining ethical AI, people-centered design, and multidimensional data streams, to help to achieve responsive, transparent, and anticipatory governance. Analyzing the main design principles, possible applications, and systemic issues, the work gives the roadmap of how civic technology can be used to enhance the trust in the people and allow them to have more inclusive and intelligent governance systems.