Data-driven and value sensitive urban decision making

Cities are complex systems. Different stakeholders with diverse interests and intentions come from public administration, industry sectors, research, real estate, service providers, civil society organisations, etc. In order to make sound decisions for a city, decision makers need to cross thematic as well as administrative borders. Novel ways of decision making include increasing inter-organisational cooperation on the one side and more interactive formats of citizen participation on the other side. Whereas `big data' has enormous potential to support these developments from an information systems' perspective, they also raise concerns about the possibility of misleading data interpretations or unnecessary privacy violations. This paper presents conceptual design recommendations including principles of value sensitive data selection and the contextual integrity of data interpretation.