Presented during the SA-EU Science Workshop

1. Open Science, Open Innovation
An EU-SA Dialgue for Policy
Professor John Wood
Member of the Open Science Policy Platform, RTD, EC
Chair of ATTRACT Advisory Board, a trans-European initiative to
exploit Open Science and Open Innovation
www.attract-eu.org

3. What is it, myth or reality?

4. Analysis
Publication
ReviewConceptualisation
Data gathering
Open
access
Scientific
blogs Collaborative
bibliographies
Alternative
Reputation
systems
Citizens
science
Open
code
Open
workflows
Open
annotation
Open
data
Pre-
print
Data-
intensive
4
Sci-starter.com
Runmycode.or
g
ArXiv
Roar.eprints.
org
Impact Story
Altmetric.com
Mendeley.com
Academia.edu
Researchgate.com
Openannotation.org
Datadryad.org
Myexperiment.org
Figshare.com
An emerging
ecosystem of
services and
standards
It's real!

5. Global collaboratories
• They can engage in whole new forms of
scientific inquiry and treat information
at a scale we are only beginning to see.
• … and help us solving today’s Grand
Challenges such as climate change and
energy supply.

6. The Data Harvest, December 2014 © RDA Europe
The benefits of open data
• The Citizen: All people will benefit from the products and
services that are developed around open data and sharing –
directly or indirectly.
• The Entrepreneur: Open data is a source of inspiration for
entrepreneurs and provides the raw material for new products
and services.
• The Scientist: Freely exchanging data will transform the nature of
what it means to be researchers.

9. Three pillars of GO FAIR
GO FAIR consists of three interconnected
pillars:
GO CHANGE aims to instigate cultural change
to make the FAIR principles a working standard
in science and to reform reward systems to
incorporate open science activities.
GO TRAIN is about locating, creating,
maintaining, and sustaining the required data
expertise in Europe through training and
education. The aim is to have core certified
data experts and to have at least one certified
institute in each Member State and for each
discipline to support implementation of data
stewardship.
GO BUILD deals with the need
for interoperable and federated data
infrastructures. In addition, it is about the
harmonisation of standards, protocols, and
services, which enable all researchers to
deposit, access, and analyse scientific data
across disciplines.

10. The Guru behind this movement

11. Philips Eindhoven Innovation Campus

12. Philips’ Eindhoven Campus

15. • There are 5 key elements in the new Open Innovation process:
• Networking;
• Collaboration: involving partners, competitors, universities, and users;
• Corporate Entrepreneurship: enhancing corporate venturing, start-ups
and spin-offs;
• Proactive Intellectual Property Management: creating new markets for
technology;
• Research and Development (R&D): achieving competitive advantages in
the market.

17. Initially the ATTRACT story: 6 of Europe’s top public labs + 2 leading universities
join forces to spin their technologies to market
• CERN – the Higgs Boson
• European Molecular Biology Lab
• European Southern Observatory
• European Synchrotron Radiation Facility
• European XFEL (X-Ray Free Electron Laser)
• Institut Laue-Langevin (neutron science)
• Aalto University, Helsinki
• ESADE Business School, Barcelona
• European Industrial Research Management
Association
ATTRACT Goal – move from open science to open
innovation
17

18. MSc-Student Projects in Innovation
IdeaSquare
Benefiting from the technical knowledge of the researchers and
engineers working in experiments and in other parts of CERN, a
dedicated MSc-level program has been started in IdeaSquare targeted
to multidisciplinary student teams, complementary to the domain of
physics.
This program is called Challenge Based Innovation (CBI), and it is
organized and coordinated in collaboration with universities and
business schools. It is open to participation and has currently
participants from six countries Currently, some 100 students are
working together in IdeaSquare - and remotely from their home
institutions - on concrete prototypes addressing challenges faced by
society.

19. IdeaSquare

20. Challenge based innovation

22. Speech of Oettinger
“We are in the middle of a true revolution — the fourth industrial
revolution. It will change our industries, it will change our
economy. And it will have a profound impact on our lives.
We are now in the midst of the next digital revolution which is
precisely based on interconnection and communication: Any
object, any machine, are now starting to be equipped with
sensors in this "internet of things" - sensors able to communicate
and to feed in real time into processes.

24. EDISON Project Overview:
Building the Data Science Profession
for Research and Industry
EDISON – Education for Data Intensive Science
to Open New science frontiers
Grant 675419 (INFRASUPP-4-2015: CSA)

25. EDISON Objectives, Impact and Actions
Increase the number of Data Scientists and
Market for establishing Data Science Profession
Data Science Competence Framework and Body of Knowledge
Engage stakeholder
communities
Sustain platforms of
communities of practice
Create community of
“champion” universities
Interact with Expert Liaison
Groups
Define Model Curriculum
and design tools
Support for accreditation
and certification
Collaborating and sharing
expertise and materials
Services to
education and
training
Create a Data
Science profession
Data Science professional
profiles
Interact with demand and
supply sides
Career path building and
skills transferability
IMPACT
Objectives
and
Actions

26. Visionaries and Drivers:
Seminal works, High level reports, Activities
The Fourth Paradigm: Data-Intensive Scientific Discovery.
By Jim Gray, Microsoft, 2009. Edited by Tony Hey, Kristin Tolle, et al.
http://research.microsoft.com/en-us/collaboration/fourthparadigm/
DSci Champions March 2017 EDISON Data Science Framework 26
Riding the wave: How Europe can gain from the
rising tide of scientific data.
Final report of the High Level Expert Group on Scientific
Data. October 2010.
http://cordis.europa.eu/fp7/ict/e-
infrastructure/docs/hlg-sdi-report.pdf
The Data Harvest: How
sharing research data can
yield knowledge, jobs and
growth.
An RDA Europe Report.
December 2014
https://rd-alliance.org/data-harvest-
report-sharing-data-knowledge-jobs-
and-growth.html
https://www.rd-alliance.org/
HLEG report on European Open
Science Cloud
(October 2016) Emergence of Cognitive Technologies
(IBM Watson and others)