Enhancing Collaboration in Urban Data Governance: A Measurement Framework for Applied Data Visualization

Chien-Yu Lin

Room: 103

2023-10-22T03:00:00ZGMT-0600Change your timezone on the schedule page
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We all recognize the crucial role of collaboration in urban data. Our study's framework is built upon insights from existing literature. However, our objective goes beyond presenting methodology. Through an extensive literature review, we have meticulously defined six key dimensions: Governance, Administration, Autonomy, Mutuality, Norm, and Equality. Our goal is to emphasize the importance of collaborative research in the urban data profession. We are excited to share this framework with you, as it will allow us to apply indicators to assess the impact of these dimensions on data governance.
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The integration of data science, machine learning, and artificial intelligence in urban studies and design promises transformative impacts on cities. While acknowledging that urban complexities transcend data, the concepts of datafication and dataism emphasize the potential to sample, model, and predict urban phenomena through data. This study explores the synergy of collaboration and data visualization in urban data governance. An analytical framework, rooted in the multidimensional collaboration model and guided by theories, elucidates dimensions like Governance, Administration, Autonomy, Mutuality, Norms, and Equality. A combination of qualitative and quantitative research complements the framework, generating indicators to assess the impact of data visualization on data governance. This study contributes to structuring the framework to examine the symbiotic relationship between data visualization, collaboration, and decision-making, propelling transformative urban data governance.