I3U Commitment 32 “Roll-out Global Research Infrastructure“

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I3U Commitment 32 “Roll-out Global Research Infrastructure“ Venue: Vienna, I3U Project Meeting & Technical Workshop, 14-15.09.2015 Prepared by: WERI-SGH

Introduction "The European Union should step up its cooperation on the roll-out of the global research infrastructures (GRI). (..) Agreement should be reached with international partners on the development of research infrastructures which owing to cost and/or complexity, can only be developed on a global scale.„ (Commitment 32 objective). This is of crucial importance for research infrastructures for environmental and Earth sciences that are essential to address global change (Report Global Change, EU 2012).

Introduction World-class research infrastructures create competitive research environments, attract and retain researchers and experienced engineers/technologists from different countries, regions and disciplines. Research Infrastructure boost the linkages between different actors and institutions interested in knowledge accumulation and use. The traditional focus on “technology transfer” gives way to a focus on “knowledge sharing” (ERA Report, 2010, p. 18).

Commitment 32 map. Roll-out Global Research Infrastructures Commitment rationale   Solution Main impact channels Main area of impact Indicators Outcome Address global challenges European roadmap for research infrastructures (part of ESFRI) Embeddedness: Shape values and attitudes in societies that trigger innovation (mobility, openness, cooperativeness, trust) Economic: Advanced fundamental knowledge; Improved R&D efficiency ; Stimulated cooperation ; Promoted scientific excellence; Trained scientists, engineers, administrators, and other professionals Input measures: R&D expenditures R&D staff number Industrial PHDs Number of graduates (level of education) Innovation Implement projects that exceed the funding capacity of individual countries Group of Senior Officials for Global Research Infrastructures (GSO) Institutional environment: Interoperability, Common data policies and standards European Research Infrastructure Consortium (ERIC) Social: Solved key Grand Challenges  Strengthen international scientific co-operation  Provided international experience for young scientists and engineers Throughput measures: Patents, Publications, Prototypes and inventions, Number of collaborative projects GDP Optimise the global inventory of scientific facilities and avoid duplication European Expert Group on Cost Control and Management Issues of GRI Governance: New management system for GRI (access, data management, evaluation and priorities, project management, legal aspects) Environmental: Understood the underlying principles of the global climate change and its effects Output measures: Innovation counts, Number of tech spin-offs and innovative clusters  Eco-innovations Employment Access a unique geographical location  Access data and other resources that are distributed world-wide Increased investment in R&D in EU and non EU countries Resource allocation and employment: Mobilizing and pooling of resources: financial human physical Area of impact:  Social Sciences and Humanities; Environment, Marine and Earth Sciences; Energy; Astronomy; Biological and Medical Sciences; Material Science, Chemistry and Physics; Engineering; Nanotechnologies Country competitiveness

Literature review Economics of network (Granovetter, 1985; Hagedoorn, 1993 Goyal, 2007; Gulati, 1995,1999; Gulati, Nohria, Zaheer, 2000; Powell, 1990); The concept of Critical Mass (Schelling, 1978; Granovetter, 1978) Common Pool Resources Theory (Ostrom, 1990; 2010). Research reveals that innovation often results from firm’s internal knowledge integrated with external knowledge accessible in inter-firm networking (e.g. Chesbrough, 2003; Bell, 2005; Almeida & Phene, 2012; Cantwell & Zhang, 2012), treated as a “locus of innovation” (Powell et al., 1996).

Next step – Research plan - preliminary proposal ENTITY TYPE ENTITY SPECIFIED REASON TOOL FOR DATA COLLECTION METHOD OF DATA COLLECTION METHOD OF DATA ANALYSIS EXPECTED OUTCOME Policy makers EU representatives Identifying the underlying reasons for GRI funding In-depth interviews Face to face interview Content analysis* with NVivio programme Supporting consistency / efficiency of GRI policies Funding bodies Several institutional representatives (GRI funders) Identifying the decision making process of GRI funding (also outside EU!)   Scientific community Few / all? operating GRI Identify stakeholders of a GRI – (investors; research community; firms) Identify their objectives Identify barriers Define barriers measurements Semi-structured individual interviews** Face to face /internet-skype /telephone? interview Content analysis with NVivio programme Reinforcing the GRI potential Objective fulfilment measurements: knowledge – publications; education and training; employment – created jobs; knowledge transfer and collaborations - number of collaborative projects. Other? Measure objectives fulfilment Business community Companies / institutes representing potential beneficiaries Identify and group customers of GRI Identify barriers and their hierarchy Semi-structured individual interviews Leveraging use and development of GRIs Case study on successful mature GRI Build a “benchmarking” for other GRI Case study (different methods to be used to gathered data) Desk research Field research Pattern matching General public Experts on ecological issues and world global trends Clarify a vision of future investments in GRI Semi structured questionnaire Delphi method**** Report Build the scenario for future GRI support policy

Thank you Małgorzata S. Lewandowska mlewando@sgh.waw.pl WERI - SGH In modalità Presentazione fare clic sulla freccia per accedere alla pagina della guida introduttiva di PowerPoint.