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International Conference on Urban Data Analytics and Modeling

12th Oct – 13th Oct 2026 Phuket, Thailand Standard / Physical Participation
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ConferenceICUDAM
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Conference Session Tracks
SDG Wheel

SDG-Aligned Research Themes

International Conference on Urban Data Analytics and Modeling conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 - Good Health and Well-being SDG 4 - Quality Education SDG 9 - Industry, Innovation and Infrastructure SDG 11 - Sustainable Cities and Communities

This track focuses on the latest advancements in urban data analytics, emphasizing novel methodologies and technologies. Participants will explore how these innovations can enhance urban planning and decision-making processes.

This session will examine the integration of geospatial data into urban planning frameworks. Discussions will highlight the importance of spatial analytics in creating comprehensive urban models.

This track will delve into the application of predictive modeling techniques in urban settings. Researchers will present case studies demonstrating how predictive analytics can inform urban policy and planning.

This session will explore various urban simulation techniques and their applications in real-world scenarios. Participants will discuss how simulations can aid in forecasting urban growth and infrastructure needs.

This track will focus on the role of data visualization in urban decision-making processes. Presentations will showcase effective visualization techniques that enhance the understanding of complex urban data.

This session will address the challenges and opportunities presented by smart city analytics. Experts will discuss how data-driven approaches can optimize urban services and improve quality of life.

This track will investigate the development and application of urban metrics for performance analysis. Participants will share insights on how metrics can drive improvements in urban planning and governance.

This session will highlight the role of Geographic Information Systems (GIS) in urban planning. Discussions will cover innovative GIS analytics techniques that support spatial decision-making.

This track will explore the application of spatial data mining techniques to extract valuable insights from urban datasets. Researchers will present methodologies that uncover patterns and trends in urban environments.

This session will focus on the development and implementation of urban decision support systems. Participants will discuss how these systems can facilitate data-driven policy planning and enhance urban governance.

This track will examine frameworks for effective urban data governance. Discussions will center on best practices for managing urban data while ensuring privacy and ethical considerations.

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