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Against
Excellence
Jack Stilgoe
j.stilgoe@ucl.ac.uk
@jackstilgoe
Against excellence
Against excellence
Against excellence
Against excellence
Against excellence
Against excellence
Doing high quality research is hard and
there needs to be a clear focus on
excellence, generally best assessed by
highly accomplished researchers in the
relevant field.
A clearly thought through and acceptable
pathways to impact is an essential component
of a research proposal and a condition of
funding. Applicants are required to use this
section of the proposal to identify the potential
impact of their work and to outline the steps
they can sensibly make now to facilitate the
realisation of those impacts If a proposal is
ranked high enough to be funded but does not
have an acceptable Pathways to Impact it will
be returned.
Against excellence
Excellence and relevance are
drifting further apart
Against excellence
Against excellence
Responsible
research and
innovation
Responsible research and
innovation
in Horizon 2020
Why responsible research and
innovation?
1. Grand challenges
2. The uncertainties of emerging
technologies
Why responsible research and
innovation?
1. Grand challenges
2. The uncertainties of emerging
technologies
Against excellence
Against excellence
I am optimistic enough about this that I am
willing to make a prediction. By 2035, there
will be almost no poor countries left in the
world.
Bill Gates, 2014
This disparity between rich and poor has
been noticed Whatever else survives to
the year 2000, that wont.
CP Snow, The Two Cultures, 1959
Solutionism
Against excellence
In the future, people will spend less time
trying to get technology to work ... If we get
this right, I believe we can fix all the worlds
problems.
Eric Schmidt, Google
There are a lot of really big issues for the
world that need to be solved and, as a
company, what we are trying to do is to build
an infrastructure on top of which to solve
some of these problems.
Mark Zuckerberg, Facebook
Pope Francis, World Economic
Forum, Davos, 2014
Those who have
demonstrated their
aptitude for being
innovative and for
improving the lives of
many people by their
ingenuity and
professional expertise
can further contribute by
putting their skills at the
service of those who are
still living in dire poverty.
Neglected tropical diseases
Source: Thomson Reuters
http://sciencewatch.com/tags/tags/neglected-tropical-diseases
Energy: An innovation deficit
Source: Richard Jones, University of Sheffield
Against excellence
Against excellence
Why responsible research and
innovation?
1. Grand challenges
2. The uncertainties of emerging
technologies
Against excellence
Against excellence
Against excellence
Synthetic biology
Against excellence
1. What is the purpose?
2. Why do you want to do it?
3. What are you going to gain
from it?
4. What else is it going to
do?
5. How do you know you are
right?
Against excellence
Pathologies of innovation
 Late lessons from early warnings (EEA)
 The dilemma of control (David Collingridge)
 Systemic risk and normal accidents (Charles
Perrow)
 Technological lock-in (Paul David)
 Myths of technological fixes (Dan Sarewitz)
 Altered nature of human action (Hans Jonas)
 Organised irresponsibility (Ulrich Beck)
 Hype and Expectations (Brown, Hedgecoe et al.)
 Deficit models of publics (Brian Wynne)
 Technologies as experiments; Society as a
laboratory (Krohn and Weyer)
Responsibility
Responsibility
 From retrospective (accountability and
liability)
  to prospective (care and
responsiveness)
  and collective
 Role responsibilities normally trump
general responsibilities
 Second-order (or meta-)responsibilities
Responsible innovation is collective care for
the future through the stewardship of
innovation in the present
(Stilgoe, Owen and Macnaghten 2013)
Anticipation
From predictive to participatory
Expectations and Imaginaries
Tools
Anticipatory Governance
Vision assessment
Scenarios
Barriers to anticipation
Guston, 2012; van Lente, 1993;
Fortun, 2005; Barben et al, 2008
Inclusion
The new scientific governance
Dialogue and mini-publics
The challenge of legitimacy
Input and outputs
Wilsdon and Willis, 2004; Grove-White et al, 1997;
Goodin and Dryzek, 2006; Irwin et al, 2013;
 Lovbrand et al 2011
Reflexivity
From 1st to 2nd order
Tools
Codes of conduct
Midstream Modulation
Wynne, 1993; Schuurbiers, 2011;
Swiestra, 2009; Fisher et al, 2006
Responsiveness
Answering and reacting
Diversity and resilience
Value-sensitive design
De facto governance
Political economy of innovation
Responsibility as metagovernance
Pellizoni, 2004; Collingridge, 1980; Friedman,
1996; Stirling, 2007; Kearnes and Rip, 2009
Responsible
innovation
Against excellence
Against excellence
Against excellence
Against excellence
Excellence itself is multidimensional
Helga Nowotny, 2012
(but it tends to concentrate research
funding)
Against excellence
A need for a redefinition of
excellence among academics, of
their career aspirations, of their
disciplinary contributions, and
their institutional loyalties.
Success in Mode 1 might
perhaps be summarily described
as excellence defined by
disciplinary peers. In Mode 2
success would have to include
the additional criteria such as
efficiency or usefulness, defined
in terms of the contribution the
work has made to the overall
solution of transdisciplinary
problems.
Excellence is the way forward.
Morten stergaard, 17 April 2012
We need to shift the focus from
aspiring to creating the best science
in the world to aspiring to creating
the best science for the world.
Morten stergaard, 23 April 2012
Excellence and gender
Against excellence
Women Fellows of the Royal
Society
Georgina Ferry, The exception and the rule: women and the Royal Society,1945-2010
Women fellows by date
Peer Review and
Gender
Wenneras and Wold (1997)
Assessment of scientific excellence, far
from being an exercise in disinvested and
disinterested judgments, is one of situated
knowledge-making, reproducing the cultures
from which it emanates.
Gabriele Griffin
Who defines excellence?
Metrics for excellence
Knowledge vs. Wisdom
Knowledge exists in two forms - lifeless,
stored in books, and alive, in the
consciousness of men. The second form of
existence is after all the essential one; the
first, indispensable as it may be, occupies
only an inferior position.
Albert Einstein
Democratising quality control in
science
Against excellence
Against excellence
Slow science is
the art of dealing with, and learning from
what scientists too often consider messy,
that is, what escapes general, so-called
objective categories
Stengers, 2011

More Related Content

Against excellence

  • 8. Doing high quality research is hard and there needs to be a clear focus on excellence, generally best assessed by highly accomplished researchers in the relevant field.
  • 9. A clearly thought through and acceptable pathways to impact is an essential component of a research proposal and a condition of funding. Applicants are required to use this section of the proposal to identify the potential impact of their work and to outline the steps they can sensibly make now to facilitate the realisation of those impacts If a proposal is ranked high enough to be funded but does not have an acceptable Pathways to Impact it will be returned.
  • 11. Excellence and relevance are drifting further apart
  • 16. Why responsible research and innovation? 1. Grand challenges 2. The uncertainties of emerging technologies
  • 17. Why responsible research and innovation? 1. Grand challenges 2. The uncertainties of emerging technologies
  • 20. I am optimistic enough about this that I am willing to make a prediction. By 2035, there will be almost no poor countries left in the world. Bill Gates, 2014
  • 21. This disparity between rich and poor has been noticed Whatever else survives to the year 2000, that wont. CP Snow, The Two Cultures, 1959
  • 24. In the future, people will spend less time trying to get technology to work ... If we get this right, I believe we can fix all the worlds problems. Eric Schmidt, Google There are a lot of really big issues for the world that need to be solved and, as a company, what we are trying to do is to build an infrastructure on top of which to solve some of these problems. Mark Zuckerberg, Facebook
  • 25. Pope Francis, World Economic Forum, Davos, 2014 Those who have demonstrated their aptitude for being innovative and for improving the lives of many people by their ingenuity and professional expertise can further contribute by putting their skills at the service of those who are still living in dire poverty.
  • 26. Neglected tropical diseases Source: Thomson Reuters http://sciencewatch.com/tags/tags/neglected-tropical-diseases
  • 27. Energy: An innovation deficit Source: Richard Jones, University of Sheffield
  • 30. Why responsible research and innovation? 1. Grand challenges 2. The uncertainties of emerging technologies
  • 36. 1. What is the purpose? 2. Why do you want to do it? 3. What are you going to gain from it? 4. What else is it going to do? 5. How do you know you are right?
  • 38. Pathologies of innovation Late lessons from early warnings (EEA) The dilemma of control (David Collingridge) Systemic risk and normal accidents (Charles Perrow) Technological lock-in (Paul David) Myths of technological fixes (Dan Sarewitz) Altered nature of human action (Hans Jonas) Organised irresponsibility (Ulrich Beck) Hype and Expectations (Brown, Hedgecoe et al.) Deficit models of publics (Brian Wynne) Technologies as experiments; Society as a laboratory (Krohn and Weyer)
  • 40. Responsibility From retrospective (accountability and liability) to prospective (care and responsiveness) and collective Role responsibilities normally trump general responsibilities Second-order (or meta-)responsibilities
  • 41. Responsible innovation is collective care for the future through the stewardship of innovation in the present (Stilgoe, Owen and Macnaghten 2013)
  • 42. Anticipation From predictive to participatory Expectations and Imaginaries Tools Anticipatory Governance Vision assessment Scenarios Barriers to anticipation Guston, 2012; van Lente, 1993; Fortun, 2005; Barben et al, 2008 Inclusion The new scientific governance Dialogue and mini-publics The challenge of legitimacy Input and outputs Wilsdon and Willis, 2004; Grove-White et al, 1997; Goodin and Dryzek, 2006; Irwin et al, 2013; Lovbrand et al 2011 Reflexivity From 1st to 2nd order Tools Codes of conduct Midstream Modulation Wynne, 1993; Schuurbiers, 2011; Swiestra, 2009; Fisher et al, 2006 Responsiveness Answering and reacting Diversity and resilience Value-sensitive design De facto governance Political economy of innovation Responsibility as metagovernance Pellizoni, 2004; Collingridge, 1980; Friedman, 1996; Stirling, 2007; Kearnes and Rip, 2009 Responsible innovation
  • 47. Excellence itself is multidimensional Helga Nowotny, 2012 (but it tends to concentrate research funding)
  • 49. A need for a redefinition of excellence among academics, of their career aspirations, of their disciplinary contributions, and their institutional loyalties. Success in Mode 1 might perhaps be summarily described as excellence defined by disciplinary peers. In Mode 2 success would have to include the additional criteria such as efficiency or usefulness, defined in terms of the contribution the work has made to the overall solution of transdisciplinary problems.
  • 50. Excellence is the way forward. Morten stergaard, 17 April 2012
  • 51. We need to shift the focus from aspiring to creating the best science in the world to aspiring to creating the best science for the world. Morten stergaard, 23 April 2012
  • 54. Women Fellows of the Royal Society Georgina Ferry, The exception and the rule: women and the Royal Society,1945-2010 Women fellows by date
  • 56. Assessment of scientific excellence, far from being an exercise in disinvested and disinterested judgments, is one of situated knowledge-making, reproducing the cultures from which it emanates. Gabriele Griffin
  • 59. Knowledge vs. Wisdom Knowledge exists in two forms - lifeless, stored in books, and alive, in the consciousness of men. The second form of existence is after all the essential one; the first, indispensable as it may be, occupies only an inferior position. Albert Einstein
  • 63. Slow science is the art of dealing with, and learning from what scientists too often consider messy, that is, what escapes general, so-called objective categories Stengers, 2011