Innovation results from combining existing knowledge in new ways. Social networks are essential for this process. Whether a scientific team works together to solve a problem or a single researcher builds on others’ work, innovation always emerge from social networks.
While social networks are essential, innovation networks are not made up solely of people. Innovation requires linking a variety of resources together: people, organizations, money, tools, knowledge and more.
FAS.research has extensive experience analyzing multifaceted networks from our work helping scientific bodies, governments and economic development authorities understand and realize the potential of their stakeholders. Our proprietary, science-based evaluation model allows us to analyze innovation networks from the perspectives of our clients’ goals and the appropriate form for the network’s function. This unique approach to evaluating networks leads to valuable insights, high impact action plans and ultimately higher returns on investments in innovation.
Below are projects where our evaluation methods and network strategies were successfully applied:
- Mapping and evaluation of the European Union’s 6th framework program for the European Commission
- Network analysis of interregional cooperation in EU-funded projects (Interreg)
- Development of a model to evaluate networks of knowledge production in terms of their innovation potential for the Federal Ministry of Economics and Labour
- In-depth analysis of semantic knowledge networks regarding basic research in Austria (knowledge exchange among scientific disciplines connected through research projects) for the Austrian Council of Research and Technology Development
- Comparison and Evaluation of the networks of knowledge production in Austria (basic research versus applied research) for the Austrian Council of Research and Technology Development
- Comparison of knowledge networks of women and men for the Federal Ministry of Economics and Labor
|
