Large cities are not only a driving force for social change - they also react much more strongly to social changes than rural areas. In view of the fact that in the long term, the core challenges of urbanisation can only be mastered in a promising way by networking and cross-connecting, the economic and social paradigm shift of digitisation in urban spaces is thrown into sharp relief. Both of these developments, urbanisation and digitalisation, lead to far-reaching changes in our society and influence each other in an unpredictable dynamic exchange.
Large cities are not only a driving force for social change - they also react much more strongly to social changes than rural areas. In view of the fact that in the long term, the core challenges of urbanisation can only be mastered in a promising way by networking and cross-connecting, the economic and social paradigm shift of digitisation in urban spaces is thrown into sharp relief. Both of these developments, urbanisation and digitalisation, lead to far-reaching changes in our society and influence each other in an unpredictable dynamic exchange.
The participating Chairs and researchers contribute projects and preliminary work from a wide array of applications (mobility, housing, health, citizen services, security and supply, knowledge society), which feeds into the expanded research focus "Future Cities". It will be of great importance for future research to address issues that cut across disciplines (such as data protection, security, ethical and legal issues, socio-cultural aspects and performance analyses), approaching them with a clear eye for technical issues and seeking interdisciplinary dialogue with colleagues from these fields.
In addition to this goal, the vision "Digital City" co-operates closely with the representatives of the Faculty of Architecture, Civil Engineering and Environmental Sciences to develop a digital model of urban living space that goes beyond the purely physical mapping of buildings and streets that dominated previous modelling tools.
One of the main goals of modelling habitats in this way is to map further attributes and processes including their dynamic change so that cause-and-effect analyses, forecasts and optimisation measures can be collected for predictable or planned interventions in the urban structure and the corresponding processes.
Prof. Vanessa Miriam Carlow, Institut für
Nachhaltigen Städtebau
Prof. Heinz Ahn, Institut für Controlling und
Unternehmensrechnung
Prof. Rolf Ernst, Institut für
Datentechnik und Kommunikationsnetze
Prof. Tim Fingscheidt, Institut für
Nachrichtentechnik
Prof. Reinhold Haux, PLRI für Medizinische
Informatik
Prof. Thomas Kürner, Institut für
Nachrichtentechnik
Prof. Wolfgang Niemeier, Institut für
Geodäsie und Photogrammetrie
Prof. Ulrich Reimers, Institut für
Nachrichtentechnik
Prof. Susanne Robra-Bissantz, Institut
für Wirtschaftsinformatik
Prof. Ina Schaefer, Institut für
Softwaretechnik und Fahrzeuginformatik
Dr. Harald Schrom, Institut für
Datentechnik und Kommunikationsnetze
Prof. Lars Wolf, Institut für Betriebssysteme
und Rechnerverbund