An Adaptable System to Support Provenance Management for the Public Policy-Making Process in Smart Cities

TL;DR

This paper presents an adaptable system leveraging a network and goal-based approach to support provenance management in the complex, stakeholder-rich policy-making process within smart cities, enhancing transparency and tracking.

Contribution

It introduces a novel network and goal-based system designed specifically for provenance tracking in public policy creation, considering smart governance principles and human decision-making.

Findings

Effective provenance data tracking for policy processes

Supports stakeholder participation and transparency

Aligns with smart governance objectives

Abstract

Government policies aim to address public issues and problems and therefore play a pivotal role in peoples lives. The creation of public policies, however, is complex given the perspective of large and diverse stakeholders involvement, considerable human participation, lengthy processes, complex task specification and the non-deterministic nature of the process. The inherent complexities of the policy process impart challenges for designing a computing system that assists in supporting and automating the business process pertaining to policy setup, which also raises concerns for setting up a tracking service in the policy-making environment. A tracking service informs how decisions have been taken during policy creation and can provide useful and intrinsic information regarding the policy process. At present, there exists no computing system that assists in tracking the complete process that has been employed for policy creation. To design such a system, it is important to consider the policy environment challenges; for this a novel network and goal based approach has been framed and is covered in detail in this paper. Furthermore, smart governance objectives that include stakeholders participation and citizens involvement have been considered. Thus, the proposed approach has been devised by considering smart governance principles and the knowledge environment of policy making where tasks are largely dependent on policy makers decisions and on individual policy objectives. Our approach reckons the human dimension for deciding and defining autonomous process activities at run time. Furthermore, with the network-based approach, so-called provenance data tracking is employed which enables the capture of policy process.