KGLM 2230 - Data Governance

This course explores the role of data and data governance in urban environments, examining how cities are increasingly shaped by digital infrastructures, data-driven systems, and emerging forms of technological governance. The course will introduce students to basic concepts of data governance and digital regulations, and to their relevance in urban contexts. It examines how data is embedded in everyday urban practices and infrastructures, including mobility systems, public services, policing, environmental monitoring, housing, energy management, urban planning, and smart city initiatives. Particular attention is given to how data practices reshape relationships among governments, private companies, and urban residents. Throughout the course, students will develop analytical tools to critically assess how data influences urban governance, social relations, public participation, and spatial organization.

In-class participation: 30% Active participation during classes, through debates and questions.

• Individual take-home paper: 70%, end-of-semester Final paper consists of a short analytical essay (3500 words, bibliography included) examining a topic related to in-class discussions. The paper must develop a clear research question and argument based on course concepts. Students may choose one of the following approaches:

Analysis of an unaddressed or persistent challenge regarding data and data governance in urban environments (e.g., social, data protection, and democratic impacts).

Critical analysis of a real case study (e.g., Barcelona case study as an example of a smart city).