Innovation & Knowledge management

Transcription

1 Innovation & Knowledge management Lotte Jaspers, Yellow Research 1 My Background From University/medical TTO to start-up to setting up my own company 3 pillar career from Expert to Manager to Expert IPR and licensing Grants & charities Policy Recent track record: ERC support from pre-screening to interview preparation Consortium agreements >50 partners or more 2 1

2 Innovation Models Knowledge management 3 Linear Model of Innovation M.Polanyi, 1962 Fundamental Research Prototype developed Demo Product Commercial Product Market Product Market entry Research Chain Link Model OECD,

3 Knowledge Society Triple Helix = 2*3 Beyond Leydesdorff and Etzkowitz Government local/regional national/federal European Research Social partners employers trade unions Growth and Jobs Education Innovation 5 The linear model dominates our thinking: In H2020 as TRL levels for funding In the organization of support offices 6 3

4 License Model: One patent one product 7 Open Source from software to biotechnology Towards a Self-Differentiated Bacterial Assembly Line, University of California-Berkely 8 4

5 Open Innovation: collective technical innovations to be used across different products 9 Open Innovation: Collective technical innovations to be used in a single product 10 5

6 Open Access Open Innovation Regards all data types (numerical, written, visual, sound) Regards all formats of storage (excel, photo, word, computer text, research methods) Focusses on storage, mine, exploit, reproduce free of charge 11 Expert model: T-People Collaboration across disciplines In depth expertise Continuous development of expertise 12 6

7 And then there was Why do Europeans scientists receive the Nobel prize in the USA and why does this not happen for our outstanding researchers in Europe? Mr Busquin, European commissioner for Research H2020 Part I: Excellent Science Base Part II: Industrial Leadership Part III: Societal Challenges Focus Areas Driven by needs of science by the business agenda by society Intervntion schemes ERC Starting Grants Consolidator Grants Advanced Grants Proof of Concept FET FET-Open Proactive Flagships Marie Curie Actions Initial Training Individual Fellow RISE Co-funding Research Infrastructure LEIT ICT Nanotechnologies Advanced materials Biotechnology Advanced manufacturing and processing Space Access to risk finance Debt facility Equity facility Specific implementation aspects II III: Innovation in SME Mainstreaming support SMEs Specific support 1. Health, demographic change & wellbeing 2. Food security, sustainable agriculture, marine and maritime research & bioec 3. Secure, clean & efficient energy 4. Smart, green & integrated transport 5. Climate action, resource efficiency & raw materials 6. Inclusive, innovative Societies 7. Secure societies IIIa) Spreading Excellence & Widening Participation IIIb) Science with and for Society 14 7

8 ERC and innovation Creates and applies entirely new concepts that did not exist before existing concepts never been used in this specific field/context before new combinations of related scientific principles new combinations of previously unrelated scientific principles Brings together concepts from different but related fields concepts from previously unrelated fields and builds on findings from a field other than its own And/or Informing the direction of future research Produces findings progressing also other fields than once own Informing policy Contributing to product/process development Producing economic benefits to society Producing benefits in the relevant sector (e.g. healthcare, engineering) Producing wider social or cultural impacts Source: Scientometrics results 15 ERC projects, 2015 ERC and Excellence Science Breakthrough Paradigm shift Landmark Paper Scientific leadership H-index \{mathematics} Citations \{mathematics} High impact papers Key note lecturer Chief editorial board Chair programme committee Leaders of excellent teams 16 8

9 Integrity = Trust reliability in performing research objectivity; impartiality and independence; openness and accessibility; + verification of data honesty in communication duty of care; fairness in providing references and giving credit; and responsibility for the scientists and researchers of the future. 17 Knowledge Management adapted from Ivana & Leydesdorff Bohr Research Pasteur Patents Knowledge production & reservoir Edison Spin-off Knowledge production & reservoir 18 9

10 Innovation driven frontier research requires expanding the horizontal bars of our T- people to open access to data Open Access IPR driven Spin-off Frontier Research: Nature, Science, Continuous cross fertilization 19 Observations Excellent Science Base of Universities Today s scientist is Bohr, Pasteur and Edison all in one if s/he chooses to be so, which means Working with people who see new research horizons / directions Developing new legal concepts for their collaborations (OA-OI) Providing integral career development support along ALL axes Development of criteria of excellence for BSc, MSc, PhD Today s society requires integrity and accountability Data: Verification, Storage, Extraction, Utilization, Transparency The next generation: select (?) and train in science and transferable skills Cherish ERC 20 10

11 Thank you 21 11