The project will continue to address the methodological and policy issues
underlying problems of environmental and social risk management, with an added
emphasis on dealing with their complexity. In close collaboration with other
IIASA projects, methodologies will be developed and applied to problems characterized
by nonlinear consequences, surprise and multiple dimensions. Not only physical
complexity, but also the social complexities of environmental risk management
will be addressed. Specifically, a conceptual framework and empirical investigations
of "fairness'' in sharing the burdens for reducing environmental risks
at the local and national, international and global levels will be a part
of the research agenda.
The Risk, Policy and Complexity Project will continue focusing on environmental
and social risk policy issues, but with an added emphasis on dealing with their
complexity. This complexity is manifest in the physical characteristics of today's
environmental issues as well as in their social determinants and responses.
An important part of dealing with the complexity of risk problems is developing
models for their description and methodologies for analyzing policy alternatives.
The new thinking in risk management goes beyond concepts of risk estimation
and the static balancing of marginal costs and benefits towards a more dynamic
concept of risk management. This concept has existed in theory, but has been
impeded in practice by problems of estimating risk functions in the context
of large-scale, complex systems with the incumbent problems of indivisible consequences,
discontinuities and potential catastrophic effects. An aim of the project is
to contribute to a genuine integrated and dynamic approach to environmental
risk problems by developing methodologies that are capable of integrating different
policy options, policy instruments, and adapting to new information as policies
are implemented.
Modern technological societies are vulnerable to failures, accidents and irreversible
consequences, especially as economic forces create broad structural changes
in the distribution of populations, production centers and wastes. Analysts
can contribute to the development of more resilient and less vulnerable societies
by developing new approaches that recognize the mutual interdependencies of
socio-economic and environmental systems. The large dimensions of these systems
will raise difficult conceptual and methodological issues, and one goal of this
project is to develop a theoretical basis for decomposing complex systems into
manageable subsystems.
Among the broadly social issues that contribute to the complexity of many environmental
policy debates, concerns for fairness and equity rank near the top. Policies
that are economically efficient and sound in all other respects may be doomed
to failure if they are thought to be inequitable in their distribution of benefits
and burdens. This is true across a broad spectrum of controversial risk issues.
Local controversies, such as the impasse facing most industrialized countries
in siting needed waste facilities or funding the clean up of toxic waste sites,
are intractable mainly because of difficulties in reaching acceptable procedures
on distributing the cost and risk burdens. Fairness issues are equally important
for resolving environmental risk problems at the transboundary and global levels.
Many market processes that promote international or interstate efficiency, e.g.,
interstate compacts for hazardous waste disposal, tradeable permits for reducing
SO2 and joint implementation of CO2 reductions, encounter
strong resistance because they are perceived as unfairly allocating national
or state obligations. Even the efficiency gains from western investment in Central
and Eastern European pollution abatement are questioned by those who feel this
practice misallocates responsibility for pollution abatement. Issues of transboundary
risk management are urgent given the unprecedented number of environmental risks
affecting large regions and even the globe. At the same time, there is little
experience with truly effective regional and international institutions for
dealing with transboundary risks, and there are demands for more local autonomy,
decentralization and participation in environmental issues. Not unlike domestic
risk issues, negotiating policies that are considered both efficient and fair
is a formidable task, especially since countries may be reluctant to reveal
their true costs of risk abatement and because they may differ in their ability
to pay and their accumulated responsibility for the damages. Fair distribution
of the risk/cost burden is also topical to nonenvironmental, social risk issues.
The urgent reform of social security systems throughout Europe and North America,
for instance, will require a broad social consensus on individual and social
responsibility for the cost and risk burdens.
While the importance of fair process and outcome in risk debates is recognized,
there is little conceptual and empirical research that can guide policy discussions
for specific environmental and social issues of risk sharing. Important questions
concerning the different and usually competing views on the fairness of the
procedures and alternatives often remain unanswered, and without this information,
constructing robust policies that command general support is problematic. Building
on a large interdisciplinary literature, the aim of the project is to develop
a conceptual basis for understanding views on fair process and outcome, to apply
this base to empirical studies of fairness in selected domestic and transboundary
issue areas, and to investigate the question whether people, groups and institutions
have stable views on fairness across different risk contexts.
This project can be viewed as building on IIASA's strengths in optimization
and dynamic systems, and on its long record of multidisciplinary social science
research in the risk area, to develop and explore applications of innovative
methodologies to physically and socially complex risk management problems. The
project is committed to working with other IIASA projects. The research is published
in peer reviewed journals as a way of reaching the widest possible scientific
audience for its work.
The objectives of the research are to develop and apply new methodologies for
coping with complex environmental and social risk problems. The focus is on
the development of novel methodologies for structuring and analyzing policy
issues that are characterized by nonlinear consequences, surprise and multiple
dimension, as well as on the conceptual and empirical investigation of fairness
and burden sharing of environmental risk issues at the local, transborder and
global levels.
In 1996, the project will continue to develop appropriate methodologies to deal
with surprise and nonlinearities in risk systems, as well as to deal with the
large dimensionality of many environmental risk problems. The project will also
continue to act as a bridge between the mathematics and optimization work at
IIASA and the applied environmental work. This will require further methodological
development of nonsmooth stochastic systems analysis and optimization in order
that these techniques can be usefully applied to real-world problems.
Continuing collaboration with the Transboundary Air Pollution Project, decentralized
pollution control strategies, including taxes and tradeable permits, will be
further investigated. The dynamics and complexity of regional land cover change
is also a topic of investigation in collaboration with the Modeling Land-Use
and Land-Cover Changes in Europe and Northern Asia Project. Since this model
must take account of a large number of variables, environmental constraints
and risks, the Risk, Policy and Complexity Project will provide methodological
support. A direct application of this study is to examine land use practices
in contaminated areas of the Ukraine.
In collaborative work with the Regional Material Balance Approaches to Long-Term
Environmental Policy Planning Project and jointly with the Dynamic Systems and
Optimization Under Uncertainty Projects, it is also planned to develop a methodological
framework to control accumulative processes in the presence of extreme environmental
regimes. This project is a new initiative, and its idea is to study aggregation
principles so that the analyst can decompose large-scale, stochastic systems
into easily manageable subsystems. In this same vein, the project intends to
study the risks associated with energy developments, and especially the risks
of overestimating costs. This is a joint initiative with the Environmentally
Compatible Energy Strategies Project. Finally, a systematic study of the so-called
"exchange optimization processes'' will be undertaken jointly with the
Dynamic Systems project. The idea of these processes is that environmental externalities
and social costs are controlled by a process of sequential trading.
In August, 1995, a planning meeting on ''Risk and Complexity'' was held to address
the issue of dealing with social complexity in policy analyses, including integrated
assessment and modeling. A publication that builds on the presentations and
discussions of this meeting is being considered as a way of promoting a dialogue
on social complexity in a policy setting.
The Risk, Policy and Complexity Project is also embarking on a collaborative
research program to develop a conceptual framework and empirical tests for examining
public views on fairness for specified social and environmental issues. The
project hopes to serve as a center for studies on fairness and burden sharing
in many topical contexts, including: (1) siting waste facilities, (2) cleaning
up and coping with contamination, (3) transboundary risk management, including
inter alia, air pollution, water pollution, and nuclear risks, (4) reforming
social security systems, and possibly in the future (5) anticipating global
climate change.
Specific areas of in-house research will be targeted. Beginning with the local/national
issues, it is planned to develop the conceptual and empirical bases that might
be applicable to later studies on the international issues. In fact, one objective
of the research program is to determine if insights at the local level can be
transposed to controversial issues at the international and global levels.
The project plans to concentrate in 1996 on the following applied policy areas:
The first aim of the project is to publish in reputable, international journals
that reach a large audience of scientists and policy-makers. The Project has
a history of extensive publications, which will continue in 1996. In addition
to individual publications, as mentioned above, two special editions of journals
are being prepared. The results are also presented at major international conferences.
Since the project is small, a second (competing) aim is to raise external funds.
Specifically, the project has submitted or is planning to submit several research
proposals.
The project has two principal investigators: Iouri Ermoliev, who has a background
in applied mathematics and Joanne Linnerooth-Bayer, who has a background in
economics and social policy sciences.
Close external IIASA collaborators: Paul Brunner, Technical University, of Vienna,
Austria; Benjamin Davy, Technical University of Vienna, Austria; Karl Dake,
University of California at Berkeley, USA; Bruno Frey and Felix Oberholzer-Gee,
Institute for Empirical Economic Research, University of Zurich, Switzerland;
Alexei Gaivoronski, Milano Research Institute, Italy; Yu-Chi Ho, Harvard University,
USA; Igor Kovalenko, University of North London, UK and the Institute of Cybernetics,
Kiev, Ukraine; Howard Kunreuther, Kevin Fitzgerald, University of Pennsylvania,
The Wharton School of Business, Philadelphia, USA; Ragnar Löstedt, University
of Surrey, Centre for Environmental Strategy, Guildford, UK; Kurt Marti, Federal
Armed Forces University, Munich, Germany; Douglas MacLean, University of Maryland,
USA; Vladimir Norkin, The Institute of Cybernetics, Kiev, Ukraine; Andreas Nentjes,
University of Groningen, the Netherlands; Gerrit J. van Oortmarssen, Erasmus
University, the Netherlands; Christopher Prinz, European Centre for Social Welfare
Policy and Research, Vienna, Austria; Thomas C. Schelling, IIASA Institute Scholar;
Gunnar Sjöstedt, Swedish Institute of International Affairs, Stockholm,
Sweden; Ortwin Renn, Center of Technology Assessment, Stuttgart, Germany; Stephen
Robinson, University of Wisconsin-Madison, USA; Michael Thompson, The Musgrave
Institute, London, UK; Anna Vari, State University of New York, Albany, USA
and Hungarian Academy of Sciences, Budapest, Hungary; Roger Wets, University
of California at Davis, USA; and Peyton Young, The Brookings Institution and
the John Hopkins University, Baltimore, USA.
Back to RPC Homepage
Abstract
Introduction
Objectives
Approach and Activities
Expected Results and Applications
Personnel and Collaboration