Social-ecological system resonance: a theoretical framework for brokering sustainable solutions

Sustainability science is a solution-oriented discipline. Yet, there are few theory-rich discussions about how this orientation structures the efforts of sustainability science. We argue that Niklas Luhmann’s social system theory, which explains how societies communicate problems, conceptualize solutions, and identify pathways towards implementation of solutions, is valuable in explaining the general structure of sustainability science. From Luhmann, we focus on two key concepts. First, his notion of resonance offers us a way to account for how sustainability science has attended and responded to environmental risks. As a product of resonance, we reveal solution-oriented research as the strategic coordination of capacities, resources, and information. Second, Luhmann’s interests in self-organizing processes explain how sustainability science can simultaneously advance multiple innovations. The value logic that supports this multiplicity of self-organizing activities as a recognition that human and natural systems are complex coupled and mutually influencing. To give form to this theoretical framework, we offer case evidence of renewable energy policy formation in Texas. Although the state’s wealth is rooted in a fossil-fuel heritage, Texas generates more electricity from wind than any US state. It is politically antagonistic towards climate-change policy, yet the state’s reception of wind energy technology illustrates how social and environmental systems can be strategically aligned to generate solutions that address diverse needs simultaneously. This case demonstrates that isolating climate change—as politicians do as a separate and discrete problem—is incapable of achieving sustainable solutions, and resonance offers researchers a framework for conceptualizing, designing, and communicating meaningfully integrated actions.     

Approaches for describing and communicating overall uncertainty in toxicity characterizations: U.S. Environmental Protection Agency's Integrated Risk Information System (IRIS) as a case study

Single point estimates of human health hazard/toxicity values such as a reference dose (RfD) are generally used in chemical hazard and risk assessment programs for assessing potential risks associated with site- or use-specific exposures. The resulting point estimates are often used by risk managers for regulatory decision-making, including standard setting, determination of emission controls, and mitigation of exposures to chemical substances. Risk managers, as well as stakeholders (interested and affected parties), often have limited information regarding assumptions and uncertainty factors in numerical estimates of both hazards and risks. Further, the use of different approaches for addressing uncertainty, which vary in transparency, can lead to a lack of confidence in the scientific underpinning of regulatory decision-making. The overarching goal of this paper, which was developed from an invited participant workshop, is to offer five approaches for presenting toxicity values in a transparent manner in order to improve the understanding, consideration, and informed use of uncertainty by risk assessors, risk managers, and stakeholders. The five approaches for improving the presentation and communication of uncertainty are described using U.S. Environmental Protection Agency's (EPA's) Integrated Risk Information System (IRIS) as a case study. These approaches will ensure transparency in the documentation, development, and use of toxicity values at EPA, the Agency for Toxic Substances and Disease Registry (ATSDR), and other similar assessment programs in the public and private sector. Further empirical testing will help to inform the approaches that will work best for specific audiences and situations.     

Pedagogy for Sustainability Science: Case-Based Approaches for Interdisciplinary Instruction

Sustainability science represents a fundamental shift in the nature of research on environmental problems, calling for specialists to expand beyond their disciplinary perspectives in order to cooperate together to understand and address systemic problems. This shift demands a corresponding shift in education in order to equip students with the skills, theories, and methods they need to address contemporary challenges. We argue that case studies are a productive pedagogical approach to teaching about sustainability and teaching for sustainability. Case-based approaches equip students to encounter complexity, manage uncertainty, and generate innovative strategies. In laying out of the pedagogical challenges inherent in sustainability education, we highlight opportunities and demands for environmental communication scholars to contribute to the emerging discipline of sustainability science.     

Creating a Place for Environmental Communication Research in Sustainability Science

Environmental communication scholarship is critical to the success of sustainability science. This essay outlines three pressing areas of intersection between the two fields. First, environmental communication scholarship on public participation processes is essential for sustainability science's efforts to link knowledge with action. Second, sustainability science requires collaborations across diverse institutional and disciplinary boundaries. Environmental communication can play a vital role in reorganizing the production and application of disciplinary knowledge. Third, science communication bridges environmental communication and sustainability science and can move communication processes away from one-way transmission models toward engaged approaches. The essay draws on Maine's Sustainability Solutions Initiative to illustrate key outcomes of a large project that has integrated environmental communication into sustainability science.     

Health risks analysis of energy systems: Issues and approaches

Health risk analysis of energy systems is affected by various principles of law. In this paper those principles are discussed and linked to measures of risk, such as risk rates and the expected value, and to the cumulative distributions. These measures of risk are related to health decisionmaking, including case law. Uncertainty defeats decisionmaking, although such uncertainty is properly derived from scientific analyses. There is a paradox, in that portraying the uncertainty forestalls decisions. Yet at present, science cannot do better. Risk analysis is the tool to help resolve this problem by identifying irreducible uncertainty, that uncertainty which is present in most human activities.     

Science Communication and Stakeholder Expertise: Insights from Sustainability Science*

Communicating science is a multifaceted and complex process, particularly in sustainability science where researchers directly engage with non-academic stakeholder partners. In this insight, we explore the relationship between science communication behaviour and perceptions of stakeholder scientific expertise in a large-scale sustainability-focused research project in the Northeastern United States. We find that higher levels of perceived scientific expertise are associated with dialogic and participatory models of communication, and lower levels of perceived scientific expertise are associated with dialogic and diffusion models of communication. This work, while small in scope, highlights the utility of attending to perceptions of expertise within stakeholder engagement contexts. Implications, limitations, and opportunities for future research are discussed.     

LICARA nanoSCAN - A tool for the self-assessment of benefits and risks of nanoproducts

The fast penetration of nanoproducts on the market under conditions of significant uncertainty of their environmental properties and risks to humans creates a need for companies to assess sustainability of their products. Evaluation of the potential benefits and risks to build a coherent story for communication with clients, authorities, consumers, and other stakeholders is getting to be increasingly important, but SMEs often lack the knowledge and expertise to assess risks and communicate them appropriately. This paper introduces LICARA nanoSCAN, a modular web based tool that supports SMEs in assessing benefits and risks associated with new or existing nanoproducts. This tool is unique because it is scanning both the benefits and risks over the nanoproducts life cycle in comparison to a reference product with a similar functionality in order to enable the development of sustainable and competitive nanoproducts. SMEs can use data and expert judgment to answer mainly qualitative and semi-quantitative questions as a part of tool application. Risks to public, workers and consumers are assessed, while the benefits are evaluated for economic, environmental and societal opportunities associated with the product use. The tool provides an easy way to visualize results as well as to identify gaps, missing data and associated uncertainties. The LICARA nanoSCAN has been positively evaluated by several companies and was tested in a number of case studies. The tool helps to develop a consistent and comprehensive argument on the weaknesses and strengths of a nanoproduct that may be valuable for the communication with authorities, clients and among stakeholders in the value chain. LICARA nanoSCAN identifies areas for more detailed assessments, product design improvement or application of risk mitigation measures.     

Modeling normativity in sustainability: a comparison of the sustainable development goals,the Paris agreement,and the papal encyclical

The idea of sustainability is intrinsically normative. Thus, understanding the role of normativity in sustainability discourses is crucial for further developing sustainability science. In this article, we analyze three important documents that aim to advance sustainability and explore how they organize norms in relation to sustainability. The three documents are: the Pope’s Encyclical Laudato Si’, the Sustainable Development Goals and the Paris Agreement. We show that understanding the role of different types of norms in the three documents can help understand normative features of both scientific and non-scientific sustainability discourses. We present the diverse system of norms in a model that interrelates three different levels: macro, meso, and micro. Our model highlights how several processes affect the normative orientation of nations and societies at the meso-level in different ways. For instance, individual ethical norms at the micro-level, such as personal responsibility, may help decelerate unsustainable consumerism at the aggregate meso-level. We also show that techno-scientific norms at the macro-level representing global indicators for sustainability may accelerate innovations. We suggest that our model can help better organize normative features of sustainability discourses and, therefore, to contribute to the further development of sustainability science.     

Sea-Level Rise Risk Communication: Public Understanding,Risk Perception,and Attitudes about Information

We present the results of a study using a document-based evaluation method to better understand how residents in vulnerable coastal areas respond to risk communications about sea-level rise (SLR) and to determine whether communications localized for specific populations improve reception. Similar to climate change communication, SLR risk communication presents challenges involving complex science, uncertainty, invisibility, and politicization. To be comprehensible and persuasive, risk messages must be appropriately framed and visually compelling and must take into account risk perceptions and diverse viewpoints. Our approach involves assessing people's encounters with actual risk messages to determine their reactions and responses. Participants in this study had difficulty understanding information and expressed attitudes including fear, fatalism, skepticism, and loss. SLR risks were also perceived as both temporally and spatially distant, creating a challenge for communicators trying to convey a sense of urgency. We conclude by considering the implications of audience-focused research for SLR risk communication.     

Towards an umbrella science of sustainability

Sustainability research has gained scholarly attention since the 1980s as the new science investigating the changes in social, environmental and economic systems and their impacts on the future of planetary life support systems. Whilst broad literature on sustainability has expanded significantly over the past decades, academic literature developing sustainability as a distinct science has received little attention. After more than two decades of sustainability research, the time has come for us to begin asking reflective questions about what sort of science we call sustainability science. How has the broader research on sustainability contributed to developing sustainability science as a unique discipline within the past two decades? How has the label science promoted or hindered the interdisciplinary project of integrating the natural and social sciences as well as arts and humanities in addressing human nature problems? I argue in this review paper that special efforts need to be made towards the building and positioning of sustainability as an umbrella science for global sustainability research. The benefits of the new sustainability science advocated for in this paper are that; a) it offers a universal definition of sustainability that accounts for both the needs of life and the capacity of planetary life support systems to provide for those needs and b) proposes ways of bridging gaps among different research traditions, facilitating cross disciplinary communication and addressing the challenge of multiple meanings and definitions of concepts facing sustainability research today.     

Research core and framework of sustainability science

This paper reviews recent achievements in sustainability science and discusses the research core and framework of sustainability science. We analyze and organize papers published in three selected core journals of sustainability science: Sustainability Science, Proceedings of the National Academy of Sciences of the United States of America, and Sustainability: Science, Practice, & Policy. Papers are organized into three categories: sustainability and its definition, domain-oriented research, and a research framework for sustainability science. First, we provide a short history and define the basic characteristics of sustainability; then we review current efforts in the following research domains: climate, biodiversity, agriculture, fishery, forestry, energy and resources, water, economic development, health, and lifestyle. Finally, we propose a research framework for sustainability science that includes the following components: goal setting, indicator setting, indicator measurement, causal chain analysis, forecasting, backcasting, and problem–solution chain analysis. We emphasize the importance of this last component for improving situations and attaining goals.     

Uncertainties in human health risk assessment of environmental contaminants: A review and perspective

Addressing uncertainties in human health risk assessment is a critical issue when evaluating the effects of contaminants on public health. A range of uncertainties exist through the source-to-outcome continuum, including exposure assessment, hazard and risk characterisation. While various strategies have been applied to characterising uncertainty, classical approaches largely rely on how to maximise the available resources. Expert judgement, defaults and tools for characterising quantitative uncertainty attempt to fill the gap between data and regulation requirements. The experiences of researching 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) illustrated uncertainty sources and how to maximise available information to determine uncertainties, and thereby provide an ‘adequate’ protection to contaminant exposure. As regulatory requirements and recurring issues increase, the assessment of complex scenarios involving a large number of chemicals requires more sophisticated tools. Recent advances in exposure and toxicology science provide a large data set for environmental contaminants and public health. In particular, biomonitoring information, in vitro data streams and computational toxicology are the crucial factors in the NexGen risk assessment, as well as uncertainties minimisation. Although in this review we cannot yet predict how the exposure science and modern toxicology will develop in the long-term, current techniques from emerging science can be integrated to improve decision-making.     

Integrating Media Studies of Climate Change into Transdisciplinary Research: Which Direction Should We Be Heading?

Research in the area of media coverage on climate change communication represents one of the most prolific areas of inquiry within communication and mass communication studies. This body of literature, which ranges from empirical to critical studies, continues to expand. Much research has focused on representations of climate change causes, effects, and human actions, while some has assessed the impacts of these representations. What is broadly missing from this literature, however, is a discussion of how we might integrate media analysis into transdisciplinary collaborative research aimed at creating solutions to the social, environmental, and economic issues intertwined with climate change. Given the magnitude of problems the society and science are currently grasping with, it behooves us to understand how media studies can contribute most effectively to characterizing and solving problems. We maintain that the move toward integrating media studies into transdisciplinary collaborative research marks an essential transition for environmental communication in general, but climate change communication in particular, given the urgency and magnitude of creating meaningful adaptation and mitigation strategies to address this pressing, complex challenge. Drawing on our work as part of a large transdisciplinary sustainability science team, we provide a case study for understanding what collaborations are key to moving media studies into a transdisciplinary context and the key opportunities and barriers that come along with that move. We argue that media studies must increasingly engage directly in collaboration with other researchers, stakeholders, and communities to serve on-the-ground decision-making and enhance society's ability to take action.     

Visioneering: an essential framework in sustainability science

The science of sustainability has inevitably emerged as a vibrant field of research and education that transcends disciplinary boundaries and focuses increasingly on understanding the dynamics of social-ecological systems (SES). Yet, sustainability remains an elusive concept, and its nature seems unclear for the most part. In order to truly mobilize people and nations towards sustainability, we place emphasis on the necessity of understanding the nature, cost and principles of ‘visioneering’—the engineering of a clear vision. In SES, purpose is the most important pillar, which gives birth to vision—the key to fulfilling the systems’ mission. Such a systems perspective leads us to redefine resilience as jumping back to the original purpose, for which SES do not necessarily retain the same structures and functioning after disturbances. A sustainable future will require purpose-driven transformation of society at all scales, guided by the best foresight, with insight based on hindsight that science can provide. Visioneering with resilience-based systems thinking will provide communities with a logical framework for understanding their interconnections and purposes, envisioning a sustainable web of life, and eventually dancing with the systems.     

Contributions of sustainability science to the study of environmental health problems

From the ontological point of view, environmental health problems do not differ from problems of unsustainability. This leads us to think that sustainability science could contribute to resolve important questions that studies on environmental health are not resolving. A literature review was made in order to analyse the scope and limitations of studies on environmental health problems. Based on the characteristics of environmental health studies, we highlighted some examples of questions that are being ignored and analysed four contributions that sustainability science could make to solve them. These contributions come from three key components of sustainability science: (1) the unit of analysis—social–ecological systems, (2) a theory—resilience theory and, specifically, social–ecological resilience, (3) and the approaches of complex systems and transdisciplinarity. From a sustainability science perspective, four contributions could be made: environmental health problems are redefined as social–ecological systems; environmental health is assumed to be the result of adaptation processes; the environment and society are recognized as systems, not as matrices of factors; and human action acquires content and structure and, in turn, explains the behaviour of environmental health problems.     

The future of sustainability science: a solutions-oriented research agenda

Over the last decade, sustainability science has been at the leading edge of widespread efforts from the social and natural sciences to produce use-inspired research. Yet, how knowledge generated by sustainability science and allied fields will contribute to transitions toward sustainability remains a critical theoretical and empirical question for basic and applied research. This article explores the limitations of sustainability science research to move the field beyond the analysis of problems in coupled systems to interrogate the social, political and technological dimensions of linking knowledge and action. Over the next decade, sustainability science can strengthen its empirical, theoretical and practical contributions by developing along four research pathways focused on the role of values in science and decision-making for sustainability: how communities at various scales envision and pursue sustainable futures; how socio-technical change can be fostered at multiple scales; the promotion of social and institutional learning for sustainable development.     

Scenario-model-parameter: a new method of cumulative risk uncertainty analysis

The recently developed concepts of aggregate risk and cumulative risk rectify two limitations associated with the classical risk assessment paradigm established in the early 1980s. Aggregate exposure denotes the amount of one pollutant available at the biological exchange boundaries from multiple routes of exposure. Cumulative risk assessment is defined as an assessment of risk from the accumulation of a common toxic effect from all routes of exposure to multiple chemicals sharing a common mechanism of toxicity. Thus, cumulative risk constitutes an improvement over the classical risk paradigm, which treats exposures from multiple routes as independent events associated with each specific route. Risk assessors formulate complex models and identify many realistic scenarios of exposure that enable them to estimate risks from exposures to multiple pollutants and multiple routes. The increase in complexity of the risk assessment process is likely to increase risk uncertainty. Despite evidence that scenario and model uncertainty contribute to the overall uncertainty of cumulative risk estimates, present uncertainty analysis of risk estimates accounts only for parameter uncertainty and excludes model and scenario uncertainties. This paper provides a synopsis of the risk assessment evolution and associated uncertainty analysis methods. This evolution leads to the concept of the scenario-model-parameter (SW) cumulative risk uncertainty analysis method. The SMP uncertainty analysis is a multiple step procedure that assesses uncertainty associated with the use of judiciously selected scenarios and models of exposure and risk. Ultimately, the SMP uncertainty analysis method compares risk uncertainty estimates determined using all three sources of uncertainty with conventional risk uncertainty estimates obtained using only the parameter source. An example of applying the SMP uncertainty analysis to cumulative risk estimates from exposures to two pesticides indicates that inclusion of scenario and model sources.     

Towards institutional analysis of sustainability science: a quantitative examination of the patterns of research collaboration

This paper examines quantitatively the patterns of collaboration over geographical boundaries in the emerging field of sustainability science by empirically analyzing the bibliometric data of scientific articles. The results indicate that an increasing number of countries are engaged in research on sustainability, with the proportion of articles published through international collaboration rising as well. The number of countries engaged in international collaboration on sustainability research has been increasing, and the diversity of countries engaged in research collaboration beyond national borders is also increasing. The geographical patterns of collaboration on sustainability show that research collaboration tends to be conducted between countries which are geographically located closely, suggesting that communication and information exchange might be limited within the regional clusters. The focused fields of research activities on sustainability are significantly different between countries, as each country has its focused fields of research related to sustainability. The specialization of research activities is also observed in international collaboration. While these patterns of international collaboration within regional clusters focusing on specific fields could be effective in promoting the creation, transmission, and sharing of knowledge on sustainability utilizing the already existing regional networks, they could pose a serious obstacle to collecting, exchanging, and integrating diverse types of knowledge, especially when it is necessary to deal with problems involving large-scale complex interactions with long-term implications, such as climate change. It would be of critical importance to establish inter-regional linkages by devising appropriate institutional arrangements for global research collaboration on sustainability science.     

An approach to comparative assessments of potential health risks from exposure to radionuclides and hazardous chemicals

The need to compare potential health risks to the public associated with different activities that can result in releases of hazardous substances to the environment is becoming increasingly important in decision-making. In making such comparisons, it is desirable to use equivalent indicators of potential health risks for radionuclides, chemical carcinogens, and noncarcinogenic hazardous chemicals. Current approaches to risk assessment that were developed for purposes of protecting human health do not provide equivalent indicators of potential risks from exposure to radionuclides and hazardous chemicals. Comparisons of environmental concentrations or calculated exposures or risks with standards for protection of public health also do not provide equivalent indicators of potential risks. We propose a simple approach to comparative risk assessments in which calculated exposures to any hazardous substances are expressed relative to no-observed-effect levels (NOELs) or, preferably, lower confidence limits of benchmark doses (BMDLs) in humans. This approach provides an equivalent, science-based indicator of the relative risks posed by different exposures to any hazardous substances.