Albert Robida, Leaving the Opera in Year 2000 (La Sortie de l’Opéra en l’An 2000), 1882

Gramazio & Kohler’s ballet of flying machines for their Vertical Village is actually rooted in a long tradition of science-fiction images of future

aerial urban life. This one by French illustrator Albert Robida represents fashionable society leaving the Paris opera at night after a show.

2016 world year record

Portugal: 4 consecutive days fully powered by renewable energies

National Geographic: ENERGY

Portugal Ditched Fossil Fuel Power for 4

Days. Can We Go Longer?

Achieving a big scale-up of renewable

energy will take more than building wind

and solar power plants.

May 27, 2016

The Guardian

Portugal runs for four days straight on

renewable energy alone

Zero emission milestone reached as

country is powered by just wind, solar and

hydro-generated electricity for 107 hours

May 18, 2016

24-11-2017 4

Case study 1: The INESC TEC & THE INOVCITY PROJECT

Smart Meters

Concentrators At MV/LV substations

Large scale integration of microgeneration Units, like PV and

micro-wind generators +

Response from consumers

Installation of 35 thousand smart meters in Évora, together with the deployment of an

advanced monitoring, management and control architecture of the electrical distribution grid.

The definition of the reference model and

specifications was assigned to a Portuguese R&D Lab – INESC TEC.

This involved dealing with smat meters,

distribution transform concentrators, communication solutions, management and

control.

24-11-2017 5

Case study 2: ADMS/ EMS FOR EFACEC, ENGINEERED BY INESC TEC

Incorporation of R&D and know-how on:

• Advanced functionalities for DMS/EMS, on top

of SCADAs, to manage large scale grid

integration of renewable power sources

• Intelligent systems for electrical networks

A case study 3: “emerging auto parts”

mobi.me agnostic and integrated platform for managing mobility in cities Mobility management platform for cities that connects all types of mobility devices in real time, allowing the management and operation of several shared and on-demand mobility services (vehicles, bicycles and motorbikes) in an integrated way with other services and with public transportation.

A coin for sustainability The real-time quantification of emissions saved, when moving from A-to-B, allows the creation of new business models based on transactions on saved emissions credits.

+400.000 users around the world

Conected and mobility Devices Mobility services for diferent operators Urban logistics Traffic Transport on demand Fleets Public transports Parking EV charging

INTEGRATION Smart Services CONNECTIVITY

Smart Products

10 countries

Sustainability New business models

70 cities

Case study 5: Seamless integration of networked autonomous platforms for ocean monitoring and

surveillance

SPACEBORNE

CONSTELLATION

AIRBORNE

CONSTELLATION

SEABORNE

CONSTELLATION

INTELLIGENCE

CENTER

AIR center Knoweledge for the

Atlantic

bringing together: • R&D Centres • Intermediaries • Companies • Public institutions

INTEGRATING KNOWLEDGE FROM DEEP SEA TO SPACE

SOUTH-NORTH / NORTH-SOUTH ATLANTIC RESEARCH INFRASTRUCTURE

1. AIR Center 2. “Porcupine” EMSO Marine

Observatory (UK)

3. Galway Bay EMSO Marine Observatory (IR)

4. Kiruna ESA Station (SW)

5. Molene Isl. EMSO Marine Observatory (FR)

6. Villafranca ESA Station (ES)

7. Cadiz Gulf EMSO Obs. (PT)

8. Cape Verde (CV)

9. Deep-Ocean FixO3 Observatory (UK/US/AN)

10. South Atlantic FixO3 Observatory (UK)

11. Alcântara Launch Center, (BR)

12. Kourou ESA Station, French Guiana (FR)

13. Bay of Fundy Observatory, (CA)

1

7

11

AIR Center

12

13

2

4

9

3

5

6

10

8

TECHNOLOGY

MARKET Existing New

Existing

New Increasing

uncertainty

evolutionary leverage base

radical discontinuity

Source: Branscomb,Morse & Roberts (2001): www.atp.nist.gov/eao/gcr_787.pdf

Patterns of technical change

Nathan Rosenberg (2001):

“uncertainty in the realms of both science and technology ... have enormously important consequences and a main concern is how organisations and incentives migth be modified to accommodate these uncertainties.” Source: OECD(2001), “Social Sciences and Innovation”

Chris Freeman (2001):

“There is an irreducible uncertainty about future political, economic and market developments ....,technological innovations may actually increase it, since they add to the dimensions of general business uncertainty, the dimension of technological uncertainty.” Source: SPRU (2001)

...uncertainty: which impact?

In a context of increased uncertainty and accelerated rate of technological change, for which knowledge and innovation

are critical factors for social and economical development, the role of the science and advanced education may be

enhanced, but requires to be adapted!

The scope:... the globalized “learning society”!

Knowledge Institutions Learning Organisations

Intellectual Property Learning Networks

Source: Conceição, Lundvall and Heitor (2002)

F r a m e w o r k c o n d i t i o n s S u p p o r t s c h e m e s

E d u c a t i o n p o l i c y

L a b o u r m a r k e t p o l i c y

S p e c i f i c r e g u l a t i o n s ( e . g . I P R s )

R e g i o n a l a n d u r b a n p l a n n i n g p o l i c i e s

P u b l i c p r o c u r e m e n t

F i n a n c i a l p o l i c i e s

C o m p e t i t i o n p o l i c y

P r o m o t i o n o f r e s e a r c h e r s ' m o b i l i t y ( e . g . T C S i n t h e U n i t e d K i n g d o m )

T h e m a t i c r e s e a r c h n e t w o r k s ( e . g . R N R T i n F r a n c e )

F i n a n c i a l i n c e n t i v e s t o c o - o p e r a t i v e r e s e a r c h ( e . g . F r a m e w o r k P r o g r a m m e i n t h e E U )

P u b l i c l y f u n d e d i n t e r m e d i a r i e s ( e . g . F r a u n h o f e r i n G e r m a n y )

P u b l i c s e e d c a p i t a l f u n d s ( e . g . I - S o u r c e i n F r a n c e )

G o v e r n m e n t p o l i c y

i n c u b a t o r s ,

s c i e n c e p a r k s ,

c l u s t e r s ,

i n t e r m e d i a r i e s

C o n f e r e n c e s , e x p o s & s p e c i a l i s e d m e d i a

I n f o r m a l c o n t a c t s w i t h i n p r o f e s s i o n a l n e t w o r k s

F l o w o f g r a d u a t e s t o i n d u s t r y

C o - p u b l i c a t i o n s

M o b i l i t y o f r e s e a r c h e r s

J o i n t l a b s

S p i n - o f f s

L i c e n s i n g

R e s e a r c h c o n t r a c t s C o - o p e r a t i v e R e s e a r c h C e n t r e s ( e . g . C R C s i n A u s t r a l i a )

Formal mechanisms for Industry-Science Relationships: the tip of an iceberg

The argument (as inspired on P. Conceição, Singapore, Sept 2017; UNDP):

…recognizing that technology does not determine our future, it is in our hands to invest in science, technology and innovation, in all countries in the world and shape the policies and institutions that can harness technology for development.

24-11-2017 15

Implications: The investment in HR and the engagement in “knowledge as our common future” cannot wait everywhere, it is not something that we can do in developing countries only after other, more urgent, priorities have been taken care off.

Background: Addis Ababa Action Agenda (AAAA, 2015): the explicit recognition that technology, as much as finance, is essential to meet the universal 2030 SDG Agenda.

A key illustration crucial to meeting SDGs : the transition towards renewable energy will depend on further advances in wind, solar, and battery technologies.

Science, Vol 342, Novembro 2013 (source: Wedeen et al, Center for Biomedical Imaging, Mass General Hospital, Boston, Mass, USA)

Connection, Connection, Connection…

Science, its impact and the presence of innovation, result from a cumulative, long-term, collective and uncertainty process, involving an

extensive divison of labour, which requires massifying the training of human resources and

qualifying the labour force in many economic sectors, in a way that depends on the structure

of the economy

The hypothesis for policy action:

Public Policy is critical: but, is there room for a common vision of the future of S&I?

Which myths?

How can we effectively help debunking these myths and guarantee better policies?

Public vs Private R&D vs Innovation Higher Educ vs Vocational Training

…we live on times of increasing socialization of risks and the privatization of rewards

The multidimensions of S&T and the social construction of science policy

The multidimensions of S&T and the social construction of science policy

Scientific employment

internationalize

Diversify institutions, strengthening diversified missions

More “intermediaries”: collaborative Labs,

strengthening networks

More employment

More scientific culture More public participation

Open Innovation and competence building: With increasingly diversified skills, institutions and incentives

Chain Linked Model of

Innovation

Kline & Rosenberg

Technology platforms

Potential

Markets

Invention/

analytical design

Detailed design

& Test

Re-design

& Production

Distribution

& market

Knowledge

Research

Research Agendas

Thematic Mobilization Programmes

Networks of Scientific Organizations

Knowledge diffusion,

with Intermediaries:

Collaborative Laboratories...

Post-Grad Training

Individual Mobility

NTBF´s

22

100 % applied research/ product

100 % basic reserach

100

% p

ub

lic f

un

din

g

100

% P

riva

te f

un

din

g

Associated Laboratories

State Laboratories

Universities and Polytechnics

Business firms

CoLABs

CoLAB‘s positioning in Innovation System

23

100 % applied research/ product

100 % basic reserach

100

% p

ub

lic f

un

din

g

100

% P

riva

te f

un

din

g

Max-Planck

Leibniz

Helmholtz

Universities

Fraunhofer

Economy

Basic funding

Publicly funded

Industry

Example: Germany

A comparative analysis: Germany as an orientation for the potential positioning of the CoLABs)

The TARGET: GERD/GDP - towards European convergence (source: OCDE)

Achieve a level of overall R&D investment of 3% of GDP by 2030, with a relative share of 1/3 public and 2/3 business expenditure, corresponding to achieve an overall R&D investment of 1.8% of GDP by 2020 (1.3% in 2016)

Any knowledge is necessarily personal and social…

“indwelling” : …learn by experiencing? Polanyi (1966, 1969)

A new culture of learning? …Becoming!

People learn how to embrace change, collaboratively, through knowing, making and playing

Thomas and Brown (2010, 2011)

25

Francisco Díaz Carreño, 1890 “Posición probable del globo antes del diluvio”

Museo del Prado

Why Science and Innovation?

The future requires addressing two key emerging issues everywhere:

• EXTERNAL – multilateral: – Multiply global R&D and HE networks

– Develop international R&D organisations and programmes

– Promote the international debate for new research agendas

• INTERNAL: – Better understanding of “policy mix”:

• Exploration and exploitation

• Extended BERD across small, medium and large companies

• The key role of local productive arrangements for global markets

– Invent jointly new economic drivers

– Diversify and combine funding sources

but, is there room for a common vision of the future of S&I?

Which implications?

1. institutional

2. spatial/local

3. international

The city and the campus as “learning environments”?

The higher education campus plays a central role in the cultural, economic and social development of the city.

Source: Britt, (200&) Partial map of the Internet based on the January 15, 2005 data. http://upload.wikimedia.org/wikipedia/commons/d/d2/Internet_map_1024.jpg

But, always in International exchanges…

International Consortia - typologies

Portugal: PARTNERSHIPS FOR THE FUTURE a distinctive feature, as launched in 2006

INL Spain-Portugal

The new paradigms for knowledge-based societies require human-

centered policies, together with the collective action of institutions and a

system approach to research and higher education, through complex relational frameworks: institutional, spatial and

international/global

Innovation must be considered a collective and cumulative process