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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.
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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.

 

Group Leadership

Simon Albrecht

Dr. Simon Albrecht
Head of Leipzig / Freiburg

Moritz Wussow

Moritz Wussow
Head of Stanford / München

Members of Research Group

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Lukas Botz 

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Wilhelm Enders

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Nicolai Lawrenz

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Sebastian Reining

 

 

 

Affiliated Members

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Prof. Dr. Tobias Brandt
University of Münster

 Gunther Gust

Prof. Dr. Gunther Gust
University of Würzburg

 

 

Marie-Louise Arlt

Dr. Marie-Louise Arlt
Area: Energy

 

Janis Brammer

Dr. Janis Brammer
Area: Industrial Big Data

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Dr. Niklas Goby 
Area: Industrial Big Data

Markus Rosenfelder

M.Sc. Markus Rosenfelder
Area: Smart Cities


Industry Partners

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