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EARTO Views on Science 2.0 22 October 2014 - Leuven 
Caj Södergård Research Professor VTT Technical Research Centre of Finland
22/10/2014 2
EARTO Vision: Technology for a Better World 
EARTO Moto: Impact Delivered! 
22/10/2014 3
EARTO Perspective on Science 2.0 
Commercialization of Research 
Open Innovation 2.0 
• Networking and collaboration - partners, 
competitors, RTOs, universities, users 
• Corporate Entrepreneurship, enhancing corporate 
venturing, start-ups, spin-offs 
• Proactive IPR Management: to create markets for 
technology 
• Research and Development (R&D): to achieve 
competitive advantages in the market 
Industry 4.0 – Industrial Internet 
• Smart Factory is the goal 
• Adaptive, resource efficient, ergonomic 
• Integration of customers and partners in business 
22/10/2014 4
EU Public Consultation Questionnaire 
•Drivers 
•Implications for society, the economy and the research system 
•Implications for researchers 
•Opportunities and barriers 
… 
… 
22/10/2014 
5
Drivers 
•Digital technologies  faster solving of problems in all domains, including H2020 Societal Challenges 
–Internet of Things, Cloud Computing, Big Data, 5G/mobility, High Performance Computing 
•A more data-centric society 
–Extensive use of data sets and data analytics in research and innovation 
–Data sharing fuels collaboration producing more results 
•More efficient dissemination of outputs, e.g. in social media 
–Currently, about half of publications are NOT cited at all and a only minority can be validated 
–Only a small fraction of research results are turned into business 
22/10/2014 
6
Implications for Society, the Economy and the Research System 
•Stimulates economic growth like other data-intensive services 
•Can benefit both scientific community, companies and the general public – e.g., by democratizing science and open innovation 
•Can enable quicker results with less risk of duplications 
•Huge amounts of data  tools needed for extracting insights 
•Crowdfunding does not replace current funding, but makes researchers more aware of real problems and engages funders 
•Challenges: 
•Science 2.0 does not ensure higher quality research! 
•Policies for privacy and open access to data are needed 
•Research results must be protected (time labels, patents,…) 
•Protect data for confidential experiments (e.g. medical) 
22/10/2014 
7
Implications for Researchers 
•Engaging with a wider public e.g., involving scientists – even amateurs - from all the world into big experiments 
•Real-time collaboration with colleagues 
•Co-creation of knowledge 
•Community review to complement peer review 
•Sharing data & results and collaborative research should have a positive impact on the careers 
–To be considered in HR policy (recruitments, promotions etc.) 
– Metrics of collaboration needed 
•Open access, open source should preserve authorship and rights of researchers 
22/10/2014 
8
Opportunities and Barriers 
Opportunities 
•New ICT tools revolutionize the world-wide collaboration in exploring, analyzing and testing 
•The sense of belonging to a community increases engagement 
•Offers a view on the whole knowledge creation process, not only snapshots (=publications) 
•Open access to scientific knowledge and data behind the knowledge  possibilities for reproduction and validation of research results 
Barriers 
•Generating results that are high quality & meet ethical standards 
•Privacy and thrust in the exchange of research results needed 
•Not getting credits for collaboration 
•Availability of open datasets. A topic for the EU program ”Big Data Value Initiative”. 
22/10/2014 
9
Actions to Be Done 
•Direct significant EU resources to Science 2.0 to enable European Software and Service Industry to provide innovative tools (platforms,..) 
•Include Innovation 2.0 on the agenda – networking, entrepreneurship 
•Promote open access to data and content to accelerate the result accumulation, preserving always author´s integrity and authorship 
•Stimulate a wider dissemination of research results e.g. through social media 
•Support the engagement of scientists with a wider public - the sense of belonging to communities increases motivation, improves quality, impact 
•Expand current peer review practices to include also community review and recognition for other impact than publications and citations 
•Research organizations and companies should consider Science 2.0, when they promote career paths, make recruitments and train staff 
22/10/2014 
10
Contributions 
EARTO Working Group H2020 lead by EARTO Secretary General, Muriel Attane & EARTO Policy Officer, Talita Soares 
NESSI (Networked European Software and Service Initiative) working group on Science 2.0 
•Prof. Caj Södergård, VTT 
•Prof. Ernestina Menasalvas, Universidad Politecnica de Madrid (UPM) 
•Director Roberto Martinez, UPM 
•Director Björn Skjellaug, SINTEF, Oslo 
•Prof. Paulo Bellavista, University of Bologna 
22/10/2014 
11

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EARTO Views on Science 2.0

  • 1. EARTO Views on Science 2.0 22 October 2014 - Leuven Caj Södergård Research Professor VTT Technical Research Centre of Finland
  • 3. EARTO Vision: Technology for a Better World EARTO Moto: Impact Delivered! 22/10/2014 3
  • 4. EARTO Perspective on Science 2.0 Commercialization of Research Open Innovation 2.0 • Networking and collaboration - partners, competitors, RTOs, universities, users • Corporate Entrepreneurship, enhancing corporate venturing, start-ups, spin-offs • Proactive IPR Management: to create markets for technology • Research and Development (R&D): to achieve competitive advantages in the market Industry 4.0 – Industrial Internet • Smart Factory is the goal • Adaptive, resource efficient, ergonomic • Integration of customers and partners in business 22/10/2014 4
  • 5. EU Public Consultation Questionnaire •Drivers •Implications for society, the economy and the research system •Implications for researchers •Opportunities and barriers … … 22/10/2014 5
  • 6. Drivers •Digital technologies  faster solving of problems in all domains, including H2020 Societal Challenges –Internet of Things, Cloud Computing, Big Data, 5G/mobility, High Performance Computing •A more data-centric society –Extensive use of data sets and data analytics in research and innovation –Data sharing fuels collaboration producing more results •More efficient dissemination of outputs, e.g. in social media –Currently, about half of publications are NOT cited at all and a only minority can be validated –Only a small fraction of research results are turned into business 22/10/2014 6
  • 7. Implications for Society, the Economy and the Research System •Stimulates economic growth like other data-intensive services •Can benefit both scientific community, companies and the general public – e.g., by democratizing science and open innovation •Can enable quicker results with less risk of duplications •Huge amounts of data  tools needed for extracting insights •Crowdfunding does not replace current funding, but makes researchers more aware of real problems and engages funders •Challenges: •Science 2.0 does not ensure higher quality research! •Policies for privacy and open access to data are needed •Research results must be protected (time labels, patents,…) •Protect data for confidential experiments (e.g. medical) 22/10/2014 7
  • 8. Implications for Researchers •Engaging with a wider public e.g., involving scientists – even amateurs - from all the world into big experiments •Real-time collaboration with colleagues •Co-creation of knowledge •Community review to complement peer review •Sharing data & results and collaborative research should have a positive impact on the careers –To be considered in HR policy (recruitments, promotions etc.) – Metrics of collaboration needed •Open access, open source should preserve authorship and rights of researchers 22/10/2014 8
  • 9. Opportunities and Barriers Opportunities •New ICT tools revolutionize the world-wide collaboration in exploring, analyzing and testing •The sense of belonging to a community increases engagement •Offers a view on the whole knowledge creation process, not only snapshots (=publications) •Open access to scientific knowledge and data behind the knowledge  possibilities for reproduction and validation of research results Barriers •Generating results that are high quality & meet ethical standards •Privacy and thrust in the exchange of research results needed •Not getting credits for collaboration •Availability of open datasets. A topic for the EU program ”Big Data Value Initiative”. 22/10/2014 9
  • 10. Actions to Be Done •Direct significant EU resources to Science 2.0 to enable European Software and Service Industry to provide innovative tools (platforms,..) •Include Innovation 2.0 on the agenda – networking, entrepreneurship •Promote open access to data and content to accelerate the result accumulation, preserving always author´s integrity and authorship •Stimulate a wider dissemination of research results e.g. through social media •Support the engagement of scientists with a wider public - the sense of belonging to communities increases motivation, improves quality, impact •Expand current peer review practices to include also community review and recognition for other impact than publications and citations •Research organizations and companies should consider Science 2.0, when they promote career paths, make recruitments and train staff 22/10/2014 10
  • 11. Contributions EARTO Working Group H2020 lead by EARTO Secretary General, Muriel Attane & EARTO Policy Officer, Talita Soares NESSI (Networked European Software and Service Initiative) working group on Science 2.0 •Prof. Caj Södergård, VTT •Prof. Ernestina Menasalvas, Universidad Politecnica de Madrid (UPM) •Director Roberto Martinez, UPM •Director Björn Skjellaug, SINTEF, Oslo •Prof. Paulo Bellavista, University of Bologna 22/10/2014 11