It is undeniable that the cities' urbanization has modernized people's lives, bringing several benefits to the population. However, it has also brought serious challenges such as public management of collective spaces, air pollution, traffic congestion, energy consumption, and quality of life. In this context, Urban Computing emerges as a process of acquisition, integration, and analysis of a large volume of heterogeneous data generated from different sources in urban spaces, such as portable devices, sensors, vehicles, humans, among others. Urban Computing is an interdisciplinary area that connects information and communication technology, advanced management of large volumes of data, and diverse data analysis methods to propose solutions to problems faced by cities. In addition, Urban Computing seeks to understand the nature of urban and social phenomena to better plan the future of cities and improve their inhabitants' quality of life.

UrbCom aims to create a space for: (1) presentation and discussion of studies in the area of Urban Computing; (2) collaboration between researchers from different areas that, given the interdisciplinary nature, is not limited to Computer Science.

Best Paper Award
During the event, the Program Committee will announce the best UrbCom 2026 papers.

Topics of interest (not limited to)
-Architectures and Protocols for Urban Environments
-Distributed Machine Learning
-Data Analysis and Mining
-D2D and 5G Communication in Urban Environments
-Data Offloading
-Data Privacy
-Data Visitation
-e-Governance
-e-Health and m-Health
-Green Computing in Urban Environments
-Heterogeneous Data Management
-Human Mobility
-Human-Computer Interaction in Urban Spaces
-Improving Quality of Life in the City Using Mobile Services and Big Data
-Intelligent Transportation Systems
-Internet of Things
-Intent Classification
-Location Based Services
-Participatory / Opportunistic Sensing
-Recommendation Systems
-Reliability and Security in Urban Computing
-Smart Cities
-Social Computing
-Urban Data Visualization
-Urban Planning Using Big Data
-Urban Sensing Infrastructures