DigiTeRRI aims at contributing to the transition of traditional industry regions into digitalised industryterritories in Europe. To this end, the project focuses on three typical case regions, namely Région Grand Estin France, Styria in Southern Austria and Värmland in West Middle Sweden and develops as well asimplements roadmaps for the transition. DigiTeRRI addresses this challenge by adopting an “ResponsibleResearch and Innovation (RRI)” approach, by co-creating territory-specific visions, conducting a roadmappingprocess and implementing actions, while tapping cross-territorial learning potentials.
To support this process from the outset, a sound empirical basis is laid through a systematic mapping of thethree R&I ecosystems, conducted in Workpackage 2, comprising qualitative and quantitative aspects. In itscomprehensive empirical approach, the mapping in DigiTeRRI is an original multiscale approach aboutdigitalisation and RRI. The different study levels are (i) the territory with their stakeholders and means (universities, companies…), (ii) the territorial ecosystems as represented by the stakeholders involved indigitalisation with their strategies, networks and current outcomes, and (iii) the territories in action, focusing oncurrent local initiatives to foster digitalisation. Regarding (iii), the mapping focuses on ongoing digitalisationpractices, involved actors and maturity levels of digitalisation, building on an online survey among stakeholders,which is presented in a separate report (Boly et al. 2020, Deliverable D2.4). Complementary to that, the currentreport focuses on (i) and (ii) with quantitative methods to describe the R&I ecosystems in the territories drawingupon existing databases and web resources to present indicators of the status and activities in digitalisation.
The objective of this report (Deliverable D2.3) is to present the results of the quantitative mapping of theterritorial R&I ecosystems in DigiTeRRI – Grand Est, Styria and Värmland – in terms of:
- their socio-economic background,
- the most relevant institutions, governance structures and strategies towards digitalisation,
- and their R&I performance, including scientific research, R&I collaborations in regional, national andinternational networks and technological profiles.
The report is intended to characterize the status quo of the respective R&I ecosystem with a focus ondigitalisation, analysing sectoral and organizational distributions within the territories as well as intraregional andextra-regional knowledge exchange networks and identifying the key actors in collaborative projects, patenting and scientific publishing.
As a first step, we give a brief description of the socio-economic profile of the territories, referring to theeconomic situation, the industrial structure, employment aspects, educational attainment, and core figuresof the research and innovation performance.
The second step is to characterize the R&I ecosystem from an institutional perspective. Starting from thegovernance structure including government and intermediary actors and their roles and responsibilities, weidentify the most important development strategies for the digital transformation and strategies thatconsciously include or at least are conforming with RRI goals. Furthermore, actors and their activities in theeducational systems in the region are described, and so are the most important research and innovationactors from the public and industry sectors.
The third step is to map the three R&I ecosystems with respect to their R&I performance. According to theconceptual approach (described in Stegmann McCallion and McCallion (2020), Deliverable D2.1), we refer to theaspects of knowledge creation in the region – measured by scientific publications –, knowledge exchangewithin the regions and beyond – measured by collaborative R&I projects –, and innovation-relevant output –measured by patent applications. Hereby, we draw on a mix of descriptive and analytic methods:
- A census of R&I formal artefacts is provided by descriptive analysis. The R&I ecosystems arecharacterized in terms of the publications, R&I projects, patents, actors and technological areas.Moreover, to reveal the structure and dynamics of scientific knowledge, we employ a sophisticatedmethod, namely Science Mapping, i.e., the development and application of computational techniques tovisualize, analyse and model a broad range of scientific and technological activities (see, e.g., Chen etal. 2014).
- Social Network Analysis (SNA) is applied to reveal the potential to access external knowledge throughinteractions between R&I actors (Wasserman & Faust 1994). Central to the SNA perspective is thenotion of networks, built on collaborative relationships among R&I actors, and on patterns andimplications of these relationships. In the context of this mapping, linkages between the actors, withinand across regional boundaries are of relevance.
- The Revealed Technological Advantage (RTA) is an indicator of relative technological strength of aregion and can make use, for instance, of patenting data (Soete & Wyatt 1983). Here, we use it toassess the internal knowledge base and capabilities, highlighting specialization patterns of the regions.
To this end, large-scale global, and territory-specific R&I datasets are used, covering different types ofactivities that support the digital transformation in the medium and long run, such as scientific publishing, R&Iprojects, patenting and funding activities. By this, a systematic view on the actor landscape and the topicalstructure of the digitalisation activities in the territories is presented for all three territories, Grand Est, Styria and Värmland. The results on the territories are described in such a way, that they can be read and interpretedindependently from each other, while we use the same structure so that a comparative perspective is kept.Hence, this mapping is the starting point to provide a better understanding of the selected territorial R&Iecosystems and to support cross-territorial learning.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement nº 873010. Project title: Responsible Research and Innovation approach for transitioning the traditional industry regions into digitalised industry territories (DigiTeRRI). Project coordinator: Marianne Hörlesberger, AIT Austrian Institute of Technology GmbH Project URL: www.digiterri.eu