Smart Cities & Industries (SCI) Group
The research of the Smart Cities and Industries (SCI) group at the chair for information systems research focuses on the digital transformation of cities and businesses. The group develops innovative tools based on data analytics to support management decisions in both the private and public sector. The tools are based on advanced analytics (descriptive, predictive, prescriptive) and optimization techniques (linear, nonlinear, and dynamic programming). Additionally, the group utilizes methods from spatial statistics and econometrics to capture the spatial nature of urban infrastructures. The overarching goal of the research is to foster economic, ecological, and social sustainability as well as to enable effective governance.
In the research area Smart Cities, the group focuses on improving management and operation of urban infrastructures, particularly energy systems, transportation systems and buildings. The group thereby puts an emphasis on spatial analyses and optimization techniques. Moreover, the group investigates how open data can reveal insights about neighborhoods, for instance to foster social innovation or to fight crime. An overview of current and past research projects in the Smart Cities research area can be found here.
In the area Smart Industries, the group investigates how communication, decentralization, and automation enabled by the Industry 4.0 and the Internet-of-Things (IoT) can improve industrial processes. The group develops decision support systems and solutions for more efficient resource allocation based on advanced analytics and machine learning. An overview of current and past research projects in the Smart Industries research areas can be found here.
Spin-off: Geospin - Geospatial Intelligence
Geospin is a spin-off project that is currently being funded by the EXIST program of the Federal Ministry for Economic Affairs and Energy and the European Union. It will market geospatial analytics solutions that have been developed within SCI at the Chair for Information Systems Research. More Information can be found at the website of Geospin.
Berkeley Cooperation
In 2014, a cooperation on energy research with Lawrence Berkeley National Laboratory in Berkeley, California, was established. Since then, two Ph.D. students and two Master’s students have been able to work on their research projects in Berkeley. More information on their projects and stories can be found here.
Leipzig Cooperation
Since 2021, there has been a cooperation with Stadtwerke Leipzig, which initially began as an external doctorate and now focuses on the realization of joint research and demonstration projects. Our focus is particularly on the development of machine learning solutions to plan, predict and optimize information and energy flows for decentralized systems and devices. Examples of our collaborations include the development of virtual energy platforms (www.sparcs.info) and AI-based heat planning.
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Group Leadership |
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Dr. Simon Albrecht |
Moritz Wussow |
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Members of Research Group |
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Prof. Dr. Tobias Brandt |
Prof. Dr. Gunther Gust |
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Dr. Marie-Louise Arlt
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Dr. Janis Brammer |
Dr. Niklas Goby |
M.Sc. Markus Rosenfelder |
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Industry Partners
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