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The Life Science
Innovation Imperative
Professor Iain Gillespie (Edinburgh)
Professor David Castle (Edinburgh)
Professor Joyce Tait (Edinburgh)
Professor Joanna Chataway (RAND, OU)
1
A Economic and Moral
Imperative to Innovate
Iain M M Gillespie
2
Innovation is key to growth…
3
Contributions to labour productivity growth, 1995-2006, in %
* Investment in intangibles and multi-factor productivity growth account for
between two-thirds and three-quarters of labour productivity growth.
…and accounts for major differences between
economies
4
Decomposi)on	
  of	
  cross-­‐country	
  differences	
  in	
  GDP	
  per	
  capita	
  into	
  their	
  determinants,	
  2005	
  
(United	
  States	
  =	
  100)	
  
GDP	
  PPP	
  per	
  capita	
   TFP	
   Human	
  capital	
   Physical	
  capital	
   Employment	
  
United	
  States	
   100.0	
   100.0	
   100.0	
   100.0	
   100.0	
  
Canada	
   83.5	
   72.0	
   103.3	
   105.8	
   106.0	
  
Japan	
   72.6	
   52.6	
   100.4	
   130.7	
   105.1	
  
China	
   9.8	
   13.6	
   57.3	
   105.2	
   119.5	
  
India	
   5.2	
   12.7	
   47.7	
   98.3	
   87.1	
  
Brazil	
   20.5	
   29.3	
   70.1	
   103.1	
   96.8	
  
Russian	
  Federa)on	
   28.6	
   31.5	
   84.9	
   97.4	
   99.3	
  
EU27	
  +	
  EFTA	
   64.7	
   67.8	
   91.2	
   114.1	
   91.3	
  
Total	
  World	
   22.8	
   27.9	
   64.2	
   104.2	
   95.8	
  
Source:	
  OECD.	
  
Innovation can help address global & social
challenges, such as climate change
5
Potential technological contributions to CO2 emission reductions
Note: WEO refers to the IEA’s 2007 World Energy Outlook.
Source: International Energy Agency, Energy Technology Perspectives 2008: Scenarios and Strategies to 2050.
Green Innovation
6
Pollution
(e.g., CO2 , toxic
chemicals)
Economic Growth (e.g., employment, GDP)
Conventional
technology
Sustainability via
green innovation
Eco-efficiency &
renewable feedstock
WE HAVE AN ECONOMIC AND
MORAL RESPONSIBILITY TO
INNOVATE
7
National innovation policy mix 2010
United Kingdom
8
The financing of RD has changed over 
time …
9
OECD Area, 1981-2005
0
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
Other national
Government
Industry
9
But public investment remains key, for
example in the life sciences
10
Reliance of Pharmaceutical patents
on science citations (biochemistry)
	
  
	
  	
  
BOTH PRIVATE AND PUBLIC
SECTORS MUST CONTINUE TO
INVEST IN INNOVATION
11
Science is increasingly international…
12
Canada
Korea
Italy
Netherlands
Switzerland
India
Belgium
Sweden
Russian Federation
Poland
Australia
Brazil
Spain
United States
Germany
France
China
Japan
United Kingdom
1998 2008
Canada
Korea
Italy
Netherlands
Switzerland
India
Belgium
Sweden
Russian Federation.
Poland
China
Japan
Australia
Brazil
Spain
United States
Germany
France
United Kingdom
Source: OECD (2010) Measuring Innovation: A New Perspective
Modern technologies are the sum of 
many parts
13
The composition of investment has shifted
towards intangible assets
14Source: Corrado, Hulten and Sichel (2007).
§  Within many OECD
countries intangible
investment (software, RD,
training and organisational
factors) is now larger than
investment in machinery,
equipment and buildings.
§  Intangibles are often not
included in firm ( national)
accounts.
§  But market analysts know
this and are probing.
Successful investment in innovation demands
enlightened collaboration and networking of knowledge
§  A New Enlightenment…
§  Putting society back at the core of the Innovation
Enterprise
15
Innovation and Intellectual
Property
David Castle
16
Coupling or Chain Link Model
17
Rothwell 1994
Intellectual Property in Context
§  Knowledge management is inclusive of
intellectual property rights;
§  Systems of intellectual property rights are not
monolithic, consistent, or perfected;
§  Knowledge management strategies dictate the
tactics of intellectual property rights
§  Interpreting the purpose of patents is
contextualised in knowledge management
18
Intellectual Property in Context
§  Knowledge mobilisation versus returns to
inventors in university-based TTOs;
§  ‘Publish or perish’, or ‘patent or perish’?
§  Social control of knowledge includes intellectual
property rights drive toward public goods
§  There is no definitive role for patents in the
management of knowledge in innovation systems
with respect to increasing / decreasing innovation.
19
Intellectual Property in Context
20
Intangible Asset Framework
Producing
Accountability
Tracking
Ownership
21
1. Producing Knowledge
§  Research know-how must be augmented with an
understanding of how to create knowledge with
direct applications.
§  How do researchers come to recognize something
as an innovation, attribute value to it, and develop
applications that would have relevance to national
innovation systems or international relevance?
22
2. Tracking Knowledge
§  Before knowledge is legally protected,
commercialised, or otherwise disseminated, a
number of judgments are made about its worth,
whether to share knowledge, who the intended
beneficiaries are, and how and when to respond
to incentives to diffuse the knowledge.
§  These pre-commercialisation activities,
particularly as they bear on downstream
knowledge transfer, are poorly understood.
23
3. Ownership
§  Public coordination of RD is conjoined with
private legal control over IP
§  Open innovation challenges existing models of IP,
knowledge management and incentive structures
24
4. Accountability
§  Reasonable questions arise about the sources of
knowledge production, IP protection, and method
of knowledge diffusion (tech transfer v. advice or
trouble-shooting).
§  New governance structures may be necessary, to
capture the transactions and other interactions
with, and between national innovation systems
and international bodies (e.g. WTO or TRIPS).
25
Innovation and Knowledge Flows
26
Maleki1997
Observations
§  Leonard Nakamura estimated the US economy
generated ~1 T in intangibles per annum
§  The central challenge remains measurement
(Baruch Lev et al.)
§  Consider the following question:
§  RD expenditures are measurable
§  Once the money is spent, the work completed,
and the knowledge generated…..
§  Which side of the ledger should do the
reporting – as ‘costs’ or as ‘assets’?
27
28
Public private partnerships in
health innovation: 
Why and what works?
Joanna Chataway
29
Outline
§  An increase in public and private sector
collaboration
§  The evolving rationale behind collaboration
§  Bad pharma? Bad academia? A good mix?
§  Publics and privates as new ‘social
technologies’
Partnerships: a growing phenomenon
§  Public private partnerships in health innovation
are growing in number, diversifying in nature and
are a major feature of the policy landscape
§  UK Life Science Strategy puts partnerships and
collaborations, including those related to
personalised medicine, at the heart of government
policy:
§  Strategy for UK Life Sciences: Building a Life Sciences Ecosystem
§  Innovation Health and Wealth: Accelerating adoption and
diffusion in the NHS (includes opening up NHS patient data)
30
There are a range of different collaborations between public
and private sector actors emerging in health innovation
§  Public private collaborations in health innovation
vary with regards to their:
§  range of activities
§  structure and size of networks
§  roles of partners
§  rewards/incentives
§  risks for partners
§  A lot of experimentation but a fragmented and
limited evidence base and a lack of scenarios and
evaluations
31
32
Outline
§  An increase in public and private sector
collaboration
§  The evolving rationale behind collaboration
§  Bad pharma? Bad academia? A good mix?
§  Publics and privates as new ‘social
technologies’
Then and Now
Then
§  Market failure
§  Insufficient returns to
private investors
§  Public sector funding
for basic research
Now
§  Extensive patenting
further upstream
§  Public and private
collaboration and joint
funding upstream and
downstream
33
A framework for examining PPPs
34
Institutions
provide the
operating
framework
Social
technologies
shape the
uptake
Physical
technologiesSocial technologies are the
means by which the application
of physical technologies are
coordinated – how we produce
the cake
Institutions include regulations,
governance structures, health
systems and the ‘operational
environment’ – the kitchen
Physical technologies are the
science and tech we can put our
hands on – the ‘recipe’ for
baking a cake
Ideas and concepts in this slide are informed by Nelson and Sampat, 2001; Chataway, et al, 2010, Nelson, et al, 2011
Why is more clarity useful?
§  Without a clearer understanding of the basis of
collaboration and a shared understanding of the
common boundaries, transaction costs are likely to be
higher
§  Collaboration and partnership will be subject to
political fashion and could become a political football
(especially likely around privacy issues?) and without
a clear understanding of the rationale collaborations
are vulnerable
35
36
Outline
§  An increase in public and private sector
collaboration
§  The evolving rationale behind collaboration
§  Bad pharma? Bad academia? A good mix?
§  Publics and privates as new ‘social
technologies’
Bad pharma?
§  Argument is that pharma puts pressure on
knowledge producers to obscure and hide results
§  This is ethically unacceptable
§  Also bad because data about efficacy and
effectiveness is not shared
§  Adds up to a less productive system
§  Recommendation is that we need better regulation
and stronger academic voice in clinical trial
conduct
37
Bad academics?
§  Increasing evidence that the quality of basic health
research is very low (Prinz, 2011; Ioannides, 2010)
§  Publishing in Nature, Amgen researchers report
that they were unable to replicate 47 out of 53
‘landmark’ basic science publications in cancer
which had originated in academia
§  Might more private sector presence in basic
research increase the quality at that point in the
research value chain?
38
39
Outline
§  An increase in public and private sector
collaboration
§  The evolving rationale behind collaboration
§  Bad pharma? Bad academia? A good mix?
§  Publics and privates as new ‘social
technologies’
Public and private social technologies driving
better science
40
Institutions build
trust and openness
New patterns of
public and
private
partnership
across basic
and applied
research
Improved and
faster
development of
physical
technology
‘ingredients’
Do we need a new set
of public and private
engagements to drive
better and faster
innovation?
To build new ways of working….
§  We need better understanding of different public
private partnerships actually deliver
§  Better articulation of the rationale: The language
of market failure, leveraging investment and de-
risking does not capture the issue
§  Increased clarity on potential benefits for the
health innovation ecosystem
41
Good Governance and
Responsible Innovation
Joyce Tait
42
A Policy Revolution: from “Government” to
“Governance”
Government
§  Pre 1980s – “Powers
over”
§  A top-down legislative
approach
§  Attempts to regulate the
behaviour of people and
institutions in detailed
and compartmentalised
ways
Governance
§  Post 1980s – “Powers
to”
§  Sets the parameters of
the system within which
people and institutions
behave so that self-
regulation achieves the
desired outcomes
43
Outcomes of Adopting a Governance
Approach in Life Sciences
The Precautionary Principle
+
Upstream Engagement
=
An innovation process that has been at the mercy of
media campaigns and ideologically manipulated
public opinion
44
Governance and Regulation – from Science to
Market Place
45

Upstream 
Regulation
	


Upstream 
Engagement
	

Scientific
Research
Translation
Application

10-15 years and 
£500M – 1Bn
	

Downstream, Product
Regulation

Downstream 
Engagement
	

Process regulation
Product regulation
Anticipatory and Adaptive Governance
Anticipatory Governance
The new governance agenda claims to be lighter-touch, less top-
down, but in effect it has extended the regulatory process into areas
that used to be left to market forces. It claims to be more democratic,
involving a wider range of stakeholders in the decision making
process, but in effect it has merely led to a shift in power relations
away from industry and commerce and in favour of advocacy groups
with equally limited claims to represent ‘society’.
Adaptive Governance
46
An adaptive risk governance approach is enabling of innovation,
minimises risks to people and the environment, and balances the
interests and values of all relevant stakeholders. It provides for trade-
offs between these factors and supports smarter regulatory
approaches that seek to balance potential social benefits and
potential risks, particularly where both are uncertain in the early
stages of technology development.
Smart, Adaptive Governance of Innovative
Technology – Upstream and Downstream
§  Regulation can be modified in the light of changes in risk
assessment, e.g. improved scientific understanding of the
technology and its impacts and the levels of uncertainty
associated with them, or changes in the policy and
political context.
§  Recognises its role in enabling innovation
§  Balances the risks and benefits to people and the
environment
§  Balances the interests and values of ALL relevant
stakeholders
§  Is explicit about political influences on policy decisions
§  REGULATORY SCIENCE – Is able to consider ‘technical
fixes’ as an alternative or complement to regulation
47
Critical Stakeholder Engagement – upstream
and downstream
§  Be equitably skeptical about the motivations of those
with whom you engage
§  Consider innovation and regulatory processes, as well
as science
§  Consider benefits of the technology and balance
against costs and risks
§  Develop standards for engagement, including
standards for the quality of evidence on which
decisions are based
§  In a plural democracy, maintain choice as far as
possible
48
Tait, J. and Barker, G., (2011) EMBO Reports, 12, pp763-768. 
Tait, J. (2009) EMBO Reports. , 10, pp 18-22
Ethical principles - NCOB
1.  The development should not be at the expense of
people’s essential rights;
2.  The development should be environmentally
sustainable;
3.  The development should contribute to a net
environmental benefit;
4.  Products should be developed in accordance with
trade principles that are fair;
5.  The costs and benefits of a development should be
distributed in an equitable way;
6.  If the first five principles are respected and the
development can mitigate environmental and social
harm, then depending on market and economic
considerations, there is a duty to undertake the
development. 49
www.innogen.ac.uk
For further details, please contact Elisabeth
Barlow at elisabeth.barlow@ed.ac.uk
50

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Scienceandinnovationslides 130701090352-phpapp01

  • 1. The Life Science Innovation Imperative Professor Iain Gillespie (Edinburgh) Professor David Castle (Edinburgh) Professor Joyce Tait (Edinburgh) Professor Joanna Chataway (RAND, OU) 1
  • 2. A Economic and Moral Imperative to Innovate Iain M M Gillespie 2
  • 3. Innovation is key to growth… 3 Contributions to labour productivity growth, 1995-2006, in % * Investment in intangibles and multi-factor productivity growth account for between two-thirds and three-quarters of labour productivity growth.
  • 4. …and accounts for major differences between economies 4 Decomposi)on  of  cross-­‐country  differences  in  GDP  per  capita  into  their  determinants,  2005   (United  States  =  100)   GDP  PPP  per  capita   TFP   Human  capital   Physical  capital   Employment   United  States   100.0   100.0   100.0   100.0   100.0   Canada   83.5   72.0   103.3   105.8   106.0   Japan   72.6   52.6   100.4   130.7   105.1   China   9.8   13.6   57.3   105.2   119.5   India   5.2   12.7   47.7   98.3   87.1   Brazil   20.5   29.3   70.1   103.1   96.8   Russian  Federa)on   28.6   31.5   84.9   97.4   99.3   EU27  +  EFTA   64.7   67.8   91.2   114.1   91.3   Total  World   22.8   27.9   64.2   104.2   95.8   Source:  OECD.  
  • 5. Innovation can help address global & social challenges, such as climate change 5 Potential technological contributions to CO2 emission reductions Note: WEO refers to the IEA’s 2007 World Energy Outlook. Source: International Energy Agency, Energy Technology Perspectives 2008: Scenarios and Strategies to 2050.
  • 6. Green Innovation 6 Pollution (e.g., CO2 , toxic chemicals) Economic Growth (e.g., employment, GDP) Conventional technology Sustainability via green innovation Eco-efficiency & renewable feedstock
  • 7. WE HAVE AN ECONOMIC AND MORAL RESPONSIBILITY TO INNOVATE 7
  • 8. National innovation policy mix 2010 United Kingdom 8
  • 9. The financing of RD has changed over time … 9 OECD Area, 1981-2005 0 100,000 200,000 300,000 400,000 500,000 600,000 700,000 800,000 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Other national Government Industry 9
  • 10. But public investment remains key, for example in the life sciences 10 Reliance of Pharmaceutical patents on science citations (biochemistry)      
  • 11. BOTH PRIVATE AND PUBLIC SECTORS MUST CONTINUE TO INVEST IN INNOVATION 11
  • 12. Science is increasingly international… 12 Canada Korea Italy Netherlands Switzerland India Belgium Sweden Russian Federation Poland Australia Brazil Spain United States Germany France China Japan United Kingdom 1998 2008 Canada Korea Italy Netherlands Switzerland India Belgium Sweden Russian Federation. Poland China Japan Australia Brazil Spain United States Germany France United Kingdom Source: OECD (2010) Measuring Innovation: A New Perspective
  • 13. Modern technologies are the sum of many parts 13
  • 14. The composition of investment has shifted towards intangible assets 14Source: Corrado, Hulten and Sichel (2007). §  Within many OECD countries intangible investment (software, RD, training and organisational factors) is now larger than investment in machinery, equipment and buildings. §  Intangibles are often not included in firm ( national) accounts. §  But market analysts know this and are probing.
  • 15. Successful investment in innovation demands enlightened collaboration and networking of knowledge §  A New Enlightenment… §  Putting society back at the core of the Innovation Enterprise 15
  • 17. Coupling or Chain Link Model 17 Rothwell 1994
  • 18. Intellectual Property in Context §  Knowledge management is inclusive of intellectual property rights; §  Systems of intellectual property rights are not monolithic, consistent, or perfected; §  Knowledge management strategies dictate the tactics of intellectual property rights §  Interpreting the purpose of patents is contextualised in knowledge management 18
  • 19. Intellectual Property in Context §  Knowledge mobilisation versus returns to inventors in university-based TTOs; §  ‘Publish or perish’, or ‘patent or perish’? §  Social control of knowledge includes intellectual property rights drive toward public goods §  There is no definitive role for patents in the management of knowledge in innovation systems with respect to increasing / decreasing innovation. 19
  • 22. 1. Producing Knowledge §  Research know-how must be augmented with an understanding of how to create knowledge with direct applications. §  How do researchers come to recognize something as an innovation, attribute value to it, and develop applications that would have relevance to national innovation systems or international relevance? 22
  • 23. 2. Tracking Knowledge §  Before knowledge is legally protected, commercialised, or otherwise disseminated, a number of judgments are made about its worth, whether to share knowledge, who the intended beneficiaries are, and how and when to respond to incentives to diffuse the knowledge. §  These pre-commercialisation activities, particularly as they bear on downstream knowledge transfer, are poorly understood. 23
  • 24. 3. Ownership §  Public coordination of RD is conjoined with private legal control over IP §  Open innovation challenges existing models of IP, knowledge management and incentive structures 24
  • 25. 4. Accountability §  Reasonable questions arise about the sources of knowledge production, IP protection, and method of knowledge diffusion (tech transfer v. advice or trouble-shooting). §  New governance structures may be necessary, to capture the transactions and other interactions with, and between national innovation systems and international bodies (e.g. WTO or TRIPS). 25
  • 26. Innovation and Knowledge Flows 26 Maleki1997
  • 27. Observations §  Leonard Nakamura estimated the US economy generated ~1 T in intangibles per annum §  The central challenge remains measurement (Baruch Lev et al.) §  Consider the following question: §  RD expenditures are measurable §  Once the money is spent, the work completed, and the knowledge generated….. §  Which side of the ledger should do the reporting – as ‘costs’ or as ‘assets’? 27
  • 28. 28 Public private partnerships in health innovation: Why and what works? Joanna Chataway
  • 29. 29 Outline §  An increase in public and private sector collaboration §  The evolving rationale behind collaboration §  Bad pharma? Bad academia? A good mix? §  Publics and privates as new ‘social technologies’
  • 30. Partnerships: a growing phenomenon §  Public private partnerships in health innovation are growing in number, diversifying in nature and are a major feature of the policy landscape §  UK Life Science Strategy puts partnerships and collaborations, including those related to personalised medicine, at the heart of government policy: §  Strategy for UK Life Sciences: Building a Life Sciences Ecosystem §  Innovation Health and Wealth: Accelerating adoption and diffusion in the NHS (includes opening up NHS patient data) 30
  • 31. There are a range of different collaborations between public and private sector actors emerging in health innovation §  Public private collaborations in health innovation vary with regards to their: §  range of activities §  structure and size of networks §  roles of partners §  rewards/incentives §  risks for partners §  A lot of experimentation but a fragmented and limited evidence base and a lack of scenarios and evaluations 31
  • 32. 32 Outline §  An increase in public and private sector collaboration §  The evolving rationale behind collaboration §  Bad pharma? Bad academia? A good mix? §  Publics and privates as new ‘social technologies’
  • 33. Then and Now Then §  Market failure §  Insufficient returns to private investors §  Public sector funding for basic research Now §  Extensive patenting further upstream §  Public and private collaboration and joint funding upstream and downstream 33
  • 34. A framework for examining PPPs 34 Institutions provide the operating framework Social technologies shape the uptake Physical technologiesSocial technologies are the means by which the application of physical technologies are coordinated – how we produce the cake Institutions include regulations, governance structures, health systems and the ‘operational environment’ – the kitchen Physical technologies are the science and tech we can put our hands on – the ‘recipe’ for baking a cake Ideas and concepts in this slide are informed by Nelson and Sampat, 2001; Chataway, et al, 2010, Nelson, et al, 2011
  • 35. Why is more clarity useful? §  Without a clearer understanding of the basis of collaboration and a shared understanding of the common boundaries, transaction costs are likely to be higher §  Collaboration and partnership will be subject to political fashion and could become a political football (especially likely around privacy issues?) and without a clear understanding of the rationale collaborations are vulnerable 35
  • 36. 36 Outline §  An increase in public and private sector collaboration §  The evolving rationale behind collaboration §  Bad pharma? Bad academia? A good mix? §  Publics and privates as new ‘social technologies’
  • 37. Bad pharma? §  Argument is that pharma puts pressure on knowledge producers to obscure and hide results §  This is ethically unacceptable §  Also bad because data about efficacy and effectiveness is not shared §  Adds up to a less productive system §  Recommendation is that we need better regulation and stronger academic voice in clinical trial conduct 37
  • 38. Bad academics? §  Increasing evidence that the quality of basic health research is very low (Prinz, 2011; Ioannides, 2010) §  Publishing in Nature, Amgen researchers report that they were unable to replicate 47 out of 53 ‘landmark’ basic science publications in cancer which had originated in academia §  Might more private sector presence in basic research increase the quality at that point in the research value chain? 38
  • 39. 39 Outline §  An increase in public and private sector collaboration §  The evolving rationale behind collaboration §  Bad pharma? Bad academia? A good mix? §  Publics and privates as new ‘social technologies’
  • 40. Public and private social technologies driving better science 40 Institutions build trust and openness New patterns of public and private partnership across basic and applied research Improved and faster development of physical technology ‘ingredients’ Do we need a new set of public and private engagements to drive better and faster innovation?
  • 41. To build new ways of working…. §  We need better understanding of different public private partnerships actually deliver §  Better articulation of the rationale: The language of market failure, leveraging investment and de- risking does not capture the issue §  Increased clarity on potential benefits for the health innovation ecosystem 41
  • 42. Good Governance and Responsible Innovation Joyce Tait 42
  • 43. A Policy Revolution: from “Government” to “Governance” Government §  Pre 1980s – “Powers over” §  A top-down legislative approach §  Attempts to regulate the behaviour of people and institutions in detailed and compartmentalised ways Governance §  Post 1980s – “Powers to” §  Sets the parameters of the system within which people and institutions behave so that self- regulation achieves the desired outcomes 43
  • 44. Outcomes of Adopting a Governance Approach in Life Sciences The Precautionary Principle + Upstream Engagement = An innovation process that has been at the mercy of media campaigns and ideologically manipulated public opinion 44
  • 45. Governance and Regulation – from Science to Market Place 45 Upstream Regulation Upstream Engagement Scientific Research Translation Application 10-15 years and £500M – 1Bn Downstream, Product Regulation Downstream Engagement Process regulation Product regulation
  • 46. Anticipatory and Adaptive Governance Anticipatory Governance The new governance agenda claims to be lighter-touch, less top- down, but in effect it has extended the regulatory process into areas that used to be left to market forces. It claims to be more democratic, involving a wider range of stakeholders in the decision making process, but in effect it has merely led to a shift in power relations away from industry and commerce and in favour of advocacy groups with equally limited claims to represent ‘society’. Adaptive Governance 46 An adaptive risk governance approach is enabling of innovation, minimises risks to people and the environment, and balances the interests and values of all relevant stakeholders. It provides for trade- offs between these factors and supports smarter regulatory approaches that seek to balance potential social benefits and potential risks, particularly where both are uncertain in the early stages of technology development.
  • 47. Smart, Adaptive Governance of Innovative Technology – Upstream and Downstream §  Regulation can be modified in the light of changes in risk assessment, e.g. improved scientific understanding of the technology and its impacts and the levels of uncertainty associated with them, or changes in the policy and political context. §  Recognises its role in enabling innovation §  Balances the risks and benefits to people and the environment §  Balances the interests and values of ALL relevant stakeholders §  Is explicit about political influences on policy decisions §  REGULATORY SCIENCE – Is able to consider ‘technical fixes’ as an alternative or complement to regulation 47
  • 48. Critical Stakeholder Engagement – upstream and downstream §  Be equitably skeptical about the motivations of those with whom you engage §  Consider innovation and regulatory processes, as well as science §  Consider benefits of the technology and balance against costs and risks §  Develop standards for engagement, including standards for the quality of evidence on which decisions are based §  In a plural democracy, maintain choice as far as possible 48 Tait, J. and Barker, G., (2011) EMBO Reports, 12, pp763-768. Tait, J. (2009) EMBO Reports. , 10, pp 18-22
  • 49. Ethical principles - NCOB 1.  The development should not be at the expense of people’s essential rights; 2.  The development should be environmentally sustainable; 3.  The development should contribute to a net environmental benefit; 4.  Products should be developed in accordance with trade principles that are fair; 5.  The costs and benefits of a development should be distributed in an equitable way; 6.  If the first five principles are respected and the development can mitigate environmental and social harm, then depending on market and economic considerations, there is a duty to undertake the development. 49
  • 50. www.innogen.ac.uk For further details, please contact Elisabeth Barlow at elisabeth.barlow@ed.ac.uk 50