Jan Kinne

Jan Kinne is an Advanced Researcher at the ZEW Research Unit 'Economics of Innovation and Industrial Dynamics,' where he has been a member since 2016. He holds a Dr. rer. nat. in Geoinformatics from the University of Salzburg (2020), following studies at Heidelberg University and Loughborough University, UK.

• Education:
  • University of Salzburg (Dr. rer. nat. – Web-based Innovation Indicators for Microgeographic Economic Analysis, 2020)
  • Heidelberg University (Geoinformatics)
  • Loughborough University, UK (Geoinformatics)

His research focuses on leveraging web-based and text-mined data for innovation analysis, particularly in microgeographic economic contexts. He pioneered web mining frameworks to assess firm innovation activity using semantic topic modeling and artificial neural networks, addressing limitations in traditional patent and survey-based indicators.

Notable awards include the Best Paper Spatial Economic Analysis (2024), R&D Management Conference Best Paper Award (2022), and the TUM Science Prize 'Future of the World of Work' (2021). His work integrates spatial economics, data science, and innovation ecosystems, with applications in pandemic crisis analysis and firm network studies.

• Scientific Awards:
  • Best Paper Spatial Economic Analysis 2024
  • Best Paper Award, R&D Management Conference 2022
  • Young Talent Award, University of Trento 2021
  • Science Prize 'Future of the World of Work,' TUM 2021
  • Volksbank Weinheim Stiftung Master Thesis Award 2017

Jan Kinne actively contributes to projects involving real-time economic policy guidance during crises (e.g., Corona pandemic), emphasizing real-time data integration and spatial analytics. His methodological innovations bridge economics, geoinformatics, and machine learning.