Regional Development and Innovation Policy Division

Globalization, climate change and digitization represent the major challenges of our time. As highly interconnected and integral elements of innovation and value creation systems, the subsystems of science, business and society are exposed to constant and high pressure to undergo transformation as a result of these megatrends. This drives our interest in knowledge and our will to research. We develop solutions for business, politics and society.

The scientists of the "Regional Development and Innovation Policy" division analyze, evaluate and develop instruments for shaping regional transformation processes and innovation policy interventions. Based on current scientific methods and findings, they support clients and partners from politics, science, society and business in the strategic planning and design of their future cooperation, transfer and funding activities. In this way, they contribute to closing the gaps between research and practice and to solving societal and economic challenges - from conception to implementation.

Scientific Library on Regional Development

In this scientific infothek, you will find bundled information on how research contributes to successful structural change. We report on scientific models, instruments and procedures for regional development and transformation processes and the resulting policy advice. This page is updated regularly. If you have any comments, please feel free to contact the editors.

 

Scientific Library on Regional Development

Data Science for Innovation Unit

Range of services

  • Development of intelligent, digital offers for knowledge transfer
  • Identification and elaboration of data-based use cases based on machine learning and network analysis

Innovation Policy and Transfer Design Unit

Range of services

  • Development of new approaches and formats for the further development of innovation policy action
  • Assessment and evaluation of political measures
  • Scientifically sound advice on political decision-making processes
  • Support in the design and organization of transfer structures and networks, taking into account the actors, contexts and incentives involved