Abstract
This working paper explores the concept of cultural digital twin cities, proposing a novel approach to incorporating cultural and social data into the digital modeling of urban environments. Recognizing the limitations of current digital twins, which largely focus on physical and infrastructural elements, this work in progress paper emphasizes the significance of uncurated data sources, such as open street map imagery, social media conversations, and its metadata. This approach not only enhances the understanding of urban life beyond tangible aspects, but also includes currently inaccessible aspects of the city in urban development. The paper sets a foundation for future research, development of frameworks, and software dedicated to the realization of ‘other’ digital twin cities, aiming to bridge the divide curated and uncurated urban dimensions.
Recommended Citation
Bauer, Luca Tom; Fritzsche, Robin; Klassen, Gerhard; Villegas Nuñez, Dulce Maria; and Niehaves, Björn, "Cultural Digital Twin Cities – Accessing cultural city data from unstructured sources" (2024). Wirtschaftsinformatik 2024 Proceedings. 114.
https://aisel.aisnet.org/wi2024/114