Abstract
The purpose of this paper is to attempt to bring together three
bodies of interrelated thought (complexity, governance and civics) in
order to begin to develop the concept of post-normal governance as a
counter-proposal to the notion of managerial ecology. Managerial ecology
has developed, or coevolved, with human institutions over the past
several decades as a pervasive, but almost implicit, framework for
environmental decision-making. It is characterized by top-down,
'command and control', often bureaucratic structures, which
can be seen to short-circuit more participative, democratic
decision-making. It will be argued, based on insights gleaned from
complex systems thinking, that due to the high uncertainty and high
decision stakes associated with making decisions within complex systems
that a more ethically-sound, 'post-normal' approach to science
and decision-making, in which the 'peer community is
extended', should be explored. This notion of post-normal science
will be contextualized within recent governance literature and related
to a civics approach to planning developed by Nelson and others in an
effort to explore an extension of Funtowicz and Ravetz' notion of a
post-normal science to governance.
L'objectif de cet article est de tenter de reunir trois types
de pensees interreliees (complexite, gouvernance et civique) afin
d'elaborer la notion de gouvernance post-normale comme
contre-proposition a l'ecologie de gestion. Au cours des dernieres
decennies, l'ecologie de gestion s'est developpee et a evolue
de concert avec les institutions pour devenir un cadre de travail
envahissant, et presque implicite, lors des prises de decisions en
matiere d'environnement. Elle est caracterisee par des structures
descendantes, directes, souvent bureaucratiques, qui court-circuitent
les prises de decisions plus democratiques et participatives. En se
basant sur la theorie des systemes complexes, cet article soutient
qu'a cause du haut degre d'incertitude et des importants
enjeux associes a des prises de decisions dans le cadre de systemes
complexes plus ethiques, une approche << post-normale >> de
la science et de la prise de decision, dans laquelle la <<
communaute des pairs s'elargit >>, doit etre exploree. Des
ecrits recents de Nelson (et d'autres) sur la gouvernance associee
a l'approche civique de la planification permettront
d'explorer le prolongement logique du concept de science
post-normale de la gouvernance de Funtowicz et Ravetz.
Key Words
Complexity, governance, civics, post-normal science, post-normal
governance
Introduction and Outline
The postmodern world view, which ... is paralleled in aspects
of new science emphasizing the chaotic, paradoxical
and transient nature of order and disorder, requires an approach
that allows the theory and practice of organization
and management to acquire a more fluid form (Morgan
1993: 282-283).
With major institutions, most recently, and perhaps notably, the
National Science Foundation, 'embracing complexity' through
their recent biocomplexity funding agenda (NSF 1999), complex systems
theory is receiving considerable attention and exposure.
Complexity-based conceptual models of ecology, and even human
societies--including economic and political models--have expanded the
heuristic toolkit of researchers and practitioners alike with concepts
that include self-organization, bifurcations, and nested or holarchic
(or panarchic) structures of systems, among others. The use of these
heuristics and conceptual models, as well as the broader implications of
the theory --really a body of interrelated theories--are being explored
through a wide variety of disciplines, beyond physics, chemistry,
biology, ecology and mathematics from which they were originally
conceived. However, their implications can arguably be seen to also
question some of the very tenets of traditional modern,
'normal' scientific thought.
The notion of scientific objectivity, for instance, is challenged
under a complexity-based, post-normal (Funtowicz and Ravetz 1994,
Ravetz, 1999b) approach. A top-down, command and control approach, such
as managerial ecology, can be challenged on ethical and philosophical
grounds from a post-normal perspective. A post-normal approach to
decision-making, in fact, requires an extension of the peer community to
more ethically address the uncertainty and decision-stakes associated
with policy-making and governance in complex systems. Of course,
complexity scientists and postnormalists are not the only ones to
promote more participatory or democratic approaches to planning and
decision- and policy-making. Participatory planning approaches have been
advanced by transactive planners, participatory planners, organizational
theorists and civic-oriented planners among many others for decades.
However, the decades old trend towards integrating public
participation--particularly in environmental policy and
decision-making--can be seen to be running up against a contrary
political-economic trend towards smaller, more stream-lined, efficient
government which appears to be making broader public participation less
of a public decision-making priority.
Much of the governance and political-economic literature documents
this kind of political-economic shift--due, in no small part, to the
impacts of economic globalization. Such a shift has generally resulted
in a much more corporate or managerial model and an often market-based
form of governance--especially when dealing with issues that are often
considered externalities, such as the environment. Managerial
ecology--defined by Bavington (2002: 5) as the "unquestioned faith
in management as the solution to deep seated ecological and social
problems"--is linked to this political-economic shift.
In the first of these two theme issues on managerial ecology
(Bavington and Slocombe 2002) the authors laid out the problematique of
the science, economics, politics and ethics of managerial ecology
through explorations of the etymology of the term management, and
through perspectives based on the work of Marx, Arendt and Bauman. In
his commentary on these papers McMurray (2002) asked the pertinent,
'next' question, "and so ...?". He notes that,
"a management regime that gave more than passing attention to its
own fallibility would be salutory, for it would be grounded in human
kind's boundless ignorance rather than its fragmentary and fleeting
knowledge" (McMurray 2002: 74).
It would seem, then, that any attempt at answering the "and so
...?" question and developing a counter-proposal to managerial
ecology must contextualize interventions and be cognisant of the
inherent complexity of ecological and human social, political-economic
systems and our 'fragmentary and fleeting' knowledge of them.
This paper attempts to bring together complexity-based, post-normal,
political-economic and governance literatures for this purpose. In
addition, Nelson's (Dempster and Nelson 2001; Lawrence and Nelson
1999; Nelson 1991) civic approach to planning will be introduced as what
seems to be a logical extension of the post-normal agenda. Finally, the
related notion of post-normal governance will be proposed.
To begin, several complexity-based heuristics, that can be applied
in an attempt to characterize human social and ecological systems will
be described. This will provide a context for a short discussion of
Funtowicz and Ravetz' notion of post-normal science. This will be
followed by a discussion of the implications of elements of the
governance, political-economic and globalization literatures as they
describe a context for environmental decision-making. This is meant to
set the stage for a consideration of Nelson's civic approach to
planning and its relation to the concept of post-normal governance.
Complex Systems Thinking
A body of theory has emerged over the last two and a half decades
that explicitly addresses the complex, uncertain and inherently
pluralistic nature of human socio-economic as well as biophysical
systems. The 'new science' or complexity theory refers to a
group of interrelated theories--catastrophe theory, chaos theory,
hierarchy theory and the theories of self-organization--that have been
derived in several scientific disciplines including chemistry, physics,
mathematics, biology and ecology. For applications to ecological systems
and human social/organizational systems, see Gunderson and Holling
(2002) and Jackson (2000), respectively.
It is argued by complex systems theorists that complex systems
exist at a threshold between order and chaos, too complex to be treated
as machines and too organized to be assumed random and averaged.
Newtonian and stochastic conceptual tools, for the sake of mathematical
tractability, often seek to eliminate the very complexity and
uncertainty (by assuming mechanistic linear causality) and macro-level
order (by assuming chaotic or random distribution) that characterize
complex systems. The types of errors that result from the potentially
inappropriate application of these tools have, to some extent, come to
be expected by the general public in policy matters and are often
justified away by citing the inadequacy of the data or limitations of a
particular technique. The underlying epistemology is not often
considered. In fact, many of these represent errors on an
epistemological level.
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