Publications dealing with Smart City topics:

Ackermann, Leonie/Demko, Khrystyna (2022): Projektbericht: Befragung der Zivilgesellschaft zu Geodaten in Bamberg. Bamberg: Otto-Friedrich-Universität.

Pagliarin, Sofia et al. (2022): Data Policies in Europäischen Smart Cities: Erfahrungen, Chance und Herausforderungen. Bamberg: Otto-Friedrich-Universität.

Redepenning, Marc et al. (2022): Smart City Bamberg: Digitale Möglichkeiten für ein Miteinander. In: Insel-Rundschau, S. 7–9.

Pagliarin, Sofia et al. (2021): Data policy models in European smart cities: Experiences, opportunities and challenges in data policies in Europe. Bamberg: Stadt Bamberg, Stabsstelle Smart City.

Benabbas, Aboubakr et al. (2019): Measure particulate matter by yourself: data-quality monitoring in a citizen science project. In: Journal of Sensors and Sensor Systems 8, S. 317–328.

Rütermann, Tim/Benabbas, Aboubakr/Nicklas, Daniela (2019): Know Thy Quality: Assessment of Device Detection by WiFi Signals. In: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops): Proceedings. IEEE.

Steuer, Simon et al. (2018): Feinstaub selbst messen: Datenqualität in einem Citizen-Science-Projekt. In: Sensoren und Messsysteme: Beiträge der 19. ITG/GMA-Fachtagung 26. - 27. Juni 2018 in Nürnberg. Berlin ; Offenbach: VDE Verlag GmbH. S. 532–535.

Benabbas, Aboubakr et al. (2017): Living Lab Bamberg: an infrastructure to explore smart city research challenges in the wild. In: Künstliche Intelligenz 31, S. 265–271.

Benabbas, Aboubakr/Steuer, Simon/Nicklas, Daniela (2017): Towards Quality Aware Sensor Data Stream Processing in a Smart CityLiving Lab. In: Proceedings of the 29th GI-Workshop Grundlagen von Datenbanken: Blankenburg/Harz, Deutschland, 30. Mai-02. Juni 2017. Trier. S. 36–41.

Steuer, Simon et al. (2016): Challenges and Design Goals for an Architecture of a Privacy-preserving Smart City Lab. In: Datenbank-Spektrum 16, S. 147–156.

Jansen, Slinger et al. (2014): 9 Million Bicycles? Extending Induction Loops with Bluetooth Sensing. In: IEEE MDM 2014: 15th IEEE International Conference on Mobile Data Management 15-18 July, 2014, Brisbane, Australia. Washington D.C. (USA): IEEE. S. 113–116.

Informations on the FIS

Informationen on how to use the FIS can be found here and in the VC-Course.