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Data Science

ISDEC is the “Innovation Systems Data – Excellence Center“ at Fraunhofer ISI. It enhances the core competences of Fraunhofer ISI that lie in the evidence-based strategic consulting of a large number of actors from politics, economy and society using a wide range of data. This includes on the one hand typical innovation indicators such as patents or publications, economic and trade data. In addition, company-specific data on the implementation of strategies and R&D measures, as well as on innovation behavior and production processes, are collected in surveys by the institute itself or together with partners. A further established data and methodological focus is model-based systems analysis, in which transformation pathways can be developed that are used as a basis for policy recommendations and strategy development. For this purpose, Fraunhofer ISI has a comprehensive set of model instruments and an associated database, which is used for various research projects at Fraunhofer ISI.  

Objective

ISDEC aims to extend and further integrate the existing data and methodological competence of Fraunhofer ISI with new approaches in order to further strengthen the institute's evidence-based policy advice. The existing methodological competencies and data accesses are to be further developed with the planned project in order to systematically enable the integration and use of additional, especially unstructured data. The goal is to expand the existing competencies in the area of structured data by big-data analytics skills in order to make unstructured data available for analyses in the application fields of the entire institute. To this end, all Competence Centers work together to strengthen their capabilities for the analysis of innovation systems. The project is led by a core team focusing on an evolving set of projects centred around ISDEC.

Projects centred around ISDEC

SIPER: Developing models for automated coding of STI evaluation studies

Data-driven assessment of energy start-ups and their role for energy innovations

 

Demand oriented innovation indicators: Evidence-informed policy making

Identification of early signals on social trends by web scraping and text analytics

Data-Driven Approach for User Behavior Forecast and Visualization

Characterization of the German metalworking industry using data mining methods

Diffusion of energy technology innovations – evaluation of data sources