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Network and Data Science Management

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Welcome to the pages of the working group on Network and Data Science Management.


As of September 1st, 2025, the chair is led by the interim professor Dr. Sven Mallach.


In its research and teaching, our working group deals with the quantitative and structural analysis as well as with the solution of difficult decision-making and optimization problems in the course of economic and interdisciplinary planning and development processes.

One focus is on operations research problems and methods, with a wide range of applications, e.g., in logistics, transportation, health-care, or production and manufacturing, which are either industry-specific or cross-disciplinary in nature. Here, we develop advanced solution methods in (integer) linear and quadratic optimization, such as cutting plane methods and branch-and-cut algorithms. In line with the algorithm engineering approach, practical implementations and qualified experimental studies are a common part of our work as well as theoretical considerations.

Another thematic focus is on network and data analysis, with the aim of gaining structural information and insights as well as strategic decision support, e.g., using supervised and unsupervised machine learning methods and graph algorithms.

 
 
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