Interactive Data Visualization for Collaborative Policy and Decision- Making : A Visual Exploration of Decision-Making in Policymaking

Sammanfattning

In today’s data-driven world the amount of data is huge, and effective decision-making requires a digital solution with integrated visual interaction designs and considering complex network systems. This thesis explores the development of an interactive, web-based data visualization framework designed to enhance collaborative policy and decision-making. Taking the principles from Human-Computer Interaction (HCI) and visual interaction design guidelines, this project implements a data visualization tool that allows decision-makers to navigate and analyze complex networks through interactive networks. Key features include filtering, network visualization, and the PageRank algorithm for node appearance. The framework is developed using Python, Javascript, and HTML. The project’s methodology combines literature review, qualitative research, and iterative framework enhancement, guided by usability principles to ensure an intuitive User Experience (UX). The main purpose of this thesis is to enhance collaborative decision-making. Results indicated that interactive visualizations support informed policy decisions.