Session 2: Whose innovation counts?
Innovation as commercial value: Imagining knowledge, for what social
ends?
Brian Wynne - Associate Director of the UK ESRC, Centre for Economic
and Social Aspects of Genomics, Lancaster University
The
topic that we have
here is about innovation and the imaginaries which are driving
knowledge
generation in the present conditions.

Here I have just tried to charaterise here is a
framework
for thinking about innovation and for thinking about what we might call
democratic forces in relation to regulatory interventions in innovation
and
scientific research and development processes. This
is a fairly conventional schematic account of the
relationship
between research and development. I
emphasize here science led innovation, and impacts, consequences,
risks. Those
consequences that we attempt to anticipate in risk assessment for
example and
then the use of risk assessment in regulatory processes.
What this is indicating and
certainly in the West,
we find
that the last 20 years or so, we are seeing an increase in
technological
innovations in all sectors, where the focus of public concerns, of
critical
scientific concerns, and so on has been right at the back end
of this
life cycle -- in other words, on risk, impacts and on risk assessments
as
institutionalized, in regulatory processes.
The GM case in Europe of course has been one of
the most
globally significant of these kinds of processes in relation to both
critical
science emphasizing that actually the risk assessments as produced and
as
referred to ‘sound science’ in the context of protection of environment
and
human health and so on. But those risk assessments are entirely
inadequate for
the kind of jobs, which they are supposed to be able to do in these
very
processes. So just to point out one of the historical points which is
obvious
when one stops to think about it , but many of these regulatory
processes don’t
appear to be able to do that --. Is it actually the innovation
trajectories of GM crops,
the innovation commitments that promise us the imaginations but also
the
economic investments and the material investments in GM crops as an
innovation
trajectory in agriculture and food were developed and established
and made under the
intellectual
auspices of the central dogma of Genetics that there was one gene code
for one
protein, which creates one organismal trait. A trait that you might be
looking
for in new crops like for example drought resistance, or perhaps
pesticide
resistance, and increased market share for the chemical pesticides
producers.
So what we have seen in that whole field and the
same is
true for the risk assessment frameworks which have been established and
institutionalized too. Is that actually those commitments were made
under the
central dogma is that the very simplified reductionist, and
deterministic
account
of the control of all of the impacts by the genetic constitution of the
plants
and crops which would be created through transgenic processes and
technologies
and then distributed through agricultural systems and so on and so
forth. We know and we’ve begun to
recognize
increasingly in these scientific fields that actually the central dogma
has
been really quite misleading in many respects. In other words, the gene
functions are influenced by cellular, intra-cellular and extra-cellular
processes, organismal processes and even environmental processes . So
the very
control of the technologies has been introduced into these kinds of
sectors, is actually a lot less than the risk assessment was actually
able to
realistically promise and claim. So there is now a lot of
work
which has
been published and been shown over the case precisely about these
processes of
lack of control which of course means the lack of predictive control,
over
future risks. And a lot of uncertainty as to the cause of connections
which
might be being made in those kinds of domains.
So a lot of that focus has arisen
from risk
assessment and
from critical scientific work exposing the inadequacy of the existing
risk
assessment procedures. But it calls for raising questions about the
vulnerability of the whole life cycles of innovation trajectory which
has been
established through these kinds of processes.
And one of the things which has been evident to us studying
these kinds
of processes which we emphasized in the European report “Taking
European
Knowledge Society Seriously”, was that actually the fashion for
describing an
adequate societal management of new technologies, new sciences and
innovation
trajectories, of defining the processes as being about risk governance,
actually should be talking about innovation governance… and
systematically
attempting to find ways of being able in a mature and responsible
fashion
to actually render more accountable the innovations and the R&D
dimension
need imaginaries of future outputs and benefits which those imaginaries
are
articulating and promising to society.
So, in the UK for example, and
this also true to a
lesser
extent in Europe too (in the European Union) it’s been recognized by
the Basic
Science Research Council --the Bio-technology and Bio-Science Research
Councils
(BBSRC), that actually they did a Crop Sciences Review in 2004 and one
of the
points that the Crop Science Review recognized was actually we have
been locked
in, in Plant Sciences and Crop Sciences research and development
investment, into a monopoly of GM imaginaries as to what the only
future
outcomes of agriculture and fuel trajectories were going to be.
So, in other words Plant-Genomics
as a field was
being
developed under that kind of imaginary and various alternative
technologies
which actually have to use Plant-Genomics, in a very sophisticated way
were
being neglected in practice and also in the science research as well by
those
imaginaries. In other words a forward projection having been invested
in from
the 1970s onwards was actually monopolizing scientific imaginaries to
the
extent that the diversity and the biological sciences in this domain
was actually
becoming a serious problem for science itself. So contrary to many of
the
pronouncements by leading plant scientists in the UK, like ?Derik. Berg for example who chaired the Advisory
Committee on Novel Foods and Processes during the 1990s without GM
there would
be no Plant Science and no Genomics, Plant Genomics at all in the UK.
That it
was either this or nothing in a very black or white form.
There were many other alternative
trajectories; that were available to Plant Science as in Plant Genomics
that
were simply being neglected. The BBSRC
has begun to recognize that in recent years as I just indicated. It has
begun to
think, about how we might begin to define public good science as being
the
science which actually incorporates for example, diversity and which
doesn’t
become locked in to monolithic trajectories - all of our eggs in one
basket in
that way-- which were reflections of a particular stakeholder
investment
or
involvement rather in the definition of basic science and research
processes.
So what was a background point to
this, which is
actually
increasingly beginning to be recognized as being central was actually
the
political decision in the late 1980s to
basically privatize the plant breeding communities in the UK,
commercially and
in terms of knowledge generation. The Plant Breeding Institute for
example, the
BBSRC Institute in Cambridge, was actually privatized in the late 80s
by the Thatcher government destroying the communities of plant breeding
in the UK over subsequent
years to
the extent that now we find that there is actually a pressure( This is
a classic path dependency and a classic example in fact of the
co-production that
Sheila has talked about earlier), through the social existence of a
huge
lacunae in plant breeding as a set of practicing stakeholders on plant
genomics
and plant sciences has actually meant that there
has been pressure to
maintain the
monopoly trajectory of GM research even although it is also being
recognized
that it isn’t actually producing the benefit which it was claimed to
produce.
There is pressure now to maintain that kind of monolithic commitments,
because
we don’t have a plant breeding community which is going to be in a
position to
use those alternative scientific strategies. We sort of have a logic
which is
almost built into this system because of previous political commitments
and
previous intellectual commitments which is set of social conditions
that
generate a demand for a particular scientific trajectory. It’s still an
open
question where this will lead in the next few years. But at least it’s
being
recognized we have put ourselves into historical dilemma of that kind
in both
scientific and the institutional social economic fields related to
agriculture.
So, what I am trying to point out is, just exactly
the logic
I was trying to introduce in this diagram that issues of accountability
in
respect of imaginaries and in respect of investments, right up
the very
upstream points in this life cycle in research and development as well
as in
innovation itself are actually where we should be focusing our
reference when
it comes to trying to develop new kinds of intellectual and
institutional
frameworks which can actually bring innovations into that kind of
accountability
in a way which hasn’t been at all in a present kind of a context.
And one
of things
we noticed when we were doing the European report is the systematic
ways in
which in fact the upstream parts of this life cycle are being defended
from any
notion that they might be able to be rendered accountable. And we also
took the
opportunity to criticize that as being part of the deep culture if you
like of European Commission when
it
comes to thinking about science, and research development investment.
So I
would
stop there