Dr. Karl Trela

Karl Trela

Contact Press / Media

Dr. Karl Trela

Head of Data Science for Innovation Unit

Fraunhofer Center for International Management and Knowledge Economy IMW
Martin-Luther-Ring 13
04109 Leipzig, Germany

Phone +49 341 231039-128

Fax +49 341 231039-9128

Areas of Expertise

  • Statistical analysis and econometrics
  • Machine Learning
  • Natural Language Processing
  • Design Thinking


Professional Development

Dr. Karl Trela has worked at the Fraunhofer IMW in the capacity of research fellow since August 2017. He is mainly involved in the agile development of web applications for knowledge and technology transfer, using machine learning.

Previously, he worked at the Helmholtz Center for Environmental Research in Leipzig, at the University of Leipzig and at the Center for European Economic Research in Mannheim. Dr. Trela studied economics with a focus on econometrics and finance at both the University of Mannheim and the University of Connecticut. In his doctoral thesis, entitled »Economic Decision Support for Climate Adaptation Policy«, he examined the applicability of economic decision-making methods in public adjustment to climate change. He also completed an apprenticeship in Design Thinking at the Hasso-Plattner Institute (HPI) in Potsdam and Data Science at the Ludwig-Maximilians-University (LMU) in Munich.


Publication Type
2023 How to find similar companies using websites?
Bergmann, Jan-Peter; Amin, Miriam; Campbell Borges, Yuri Cassio; Trela, Karl
Journal Article
2021 Ausgründungen aus der außeruniversitären Forschung: Gründungsdynamik und Erfolgsbedingungen im Ost-West-Vergleich
Kahl, Julian; Dornbusch, Friedrich; Pohle, Anna; Trela, Karl; Weiße, Marlen
2021 How to Find New Industry Partners for Public Research: A Classification Approach
Trela, Karl; Campbell, Yuri; Dornbusch, Friedrich; Pohle, Anna
Journal Article
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica

This list has been generated from the publication platform Fraunhofer-Publica

Further Conference Contributions


  • Bergmann, J.; Amin, M.; Campbell, Y.; Trela, K. (2021). How to find similar companies using websites and Wikification. Global TechMining Conference (GTM). Online, 17.-19.11.2021.


  • Campbell, Y.; Dornbusch, F.; Prilop, M.; Trela, K. (2018). A ubiquitous indicator for industry-partner selection: Semantic similarity. University-Industry Interaction Conference 2018. London; 22.06.2018.