Designing futures: Inquiry in climate change communication

There are many barriers and challenges associated with climate change communication focused on promoting community-based action for sustainable futures. Of particular interest is the challenge to embed community perspectives in a communication process of climate change solutions. In this paper we argue that 3D interactive simulations using design inquiry as a development process, can be an effective way of communicating climate change solutions and multiple community responses. People are more likely to engage with the challenges associated with complexity of climate change at the local level when their perspectives are integrated into viable and multiple pathways for action. Future scenarios of change processes situated in local experiences in compelling and interactive ways can be disseminated holistically by making links between scientific, social, political, economic and cultural elements. Design inquiry, as a research approach, integrates contextual knowledge into communication processes to aid imagining, re-thinking and reembodying viable pathways that explore the kinds of futures we collectively envision. This paper examines the contributions that design inquiry makes to climate change communication using an interactive simulation environment for designing futures. We discuss these ideas using the example of the Future Delta project, a virtual 3D environment that enables the exploration and simulation of multiple community-based climate change solutions in the Corporation of Delta, British Columbia.     

Markov models for commodity futures: theory and practice

The objective of this paper is to develop a generic, yet practical, framework for the construction of Markov models for commodity derivatives. We aim for sufficient richness to permit applications to a broad variety of commodity markets, including those that are characterized by seasonality and by spikes in the spot process. In the first, largely theoretical, part of the paper we derive a series of useful results concerning the low-dimensional Markov representation of the dynamics of an entire term structure of futures prices. Extending previous results in the literature, we cover jump-diffusive models with stochastic volatility as well as several classes of regime-switching models. To demonstrate the process of building models for a specific commodity market, the second part of the paper applies a selection of our theoretical results to the exercise of constructing and calibrating derivatives trading models for USD natural gas. Special attention is paid to the incorporation of empirical seasonality effects in futures prices, in implied volatilities and their ‘smile’, and in correlations between futures contracts of different maturities. European option pricing in our proposed gas model is closed form and of the same complexity as the Black–Scholes formula.     

Near-future landscapes as a futures tool

Insights created within futures studies (FS) and written up in the futures literature may be too abstract and diverse to fulfil the goal of FS to provide clear ‘maps’ to non-specialists of the near-term future. However, graphics and images may help to make futures concepts and emerging insights easier to grasp. The paper surveys a little used and under-studied approach: that of near-future landscapes (NFLs). Several examples are considered. Useful as they may be, they are viewed as transitional forms that will be improved upon by greater interest in futures imaging processes and further developments in the technologies of graphic representation.     

Using Constraint Programming to Design an Option-based Decision Support System

Financial options and futures give investors the opportunity to form complex strategies that meet their investment objectives for risk management. However, this opportunity gives rise to a difficult task: finding a desired strategy from among a large number of possible strategies. This paper describes an intelligent decision-support system for generating option-based investment strategies by using constraint programming, which is an integrated framework of Artificial Intelligence and Logic Programming. In this system, constraint programming acts as a bridge between qualitative and quantitative analyses in decision processes. In qualitative analysis, logical reasoning with hypotheses is used to automatically create complex strategies through abstract matching with investors' profiles. Here, abstract matching can be regarded as symbolic computation for producing qualitatively reasonable strategies. In quantitative analysis, a set of complete solutions that satisfy user-supplied constraints are obtained by constraint satisfaction and optimization. A constraint language based on the framework of Constraint Logic Programming has been developed in order to integrate these symbolic and numerical computations in a uniform way. The resulting system written in this language has the following features. (1) Unlike rule-based expert systems, the constraint-based system can create novel investment strategies. (2) A smooth transition from qualitative to quantitative analyses can be naturally achieved due to the constraint language. (3) Qualitative analysis can reduce search complexity, because the analysis focuses on a small set of qualitative distinctions in solution space. These features indicate the usefulness of constraint programming for designing intelligent decision-support systems.     

Emerging pathways for critical futures research: Changing contexts and impacts of social theory

There has always been a critical, emancipatory tradition within futures studies. Although those voices can still be heard, there has been a growing tendency for futures studies to be driven by more utilitarian needs in business and government. Whilst it is positive that futures thinking and research is increasingly valued within corporate and policy-making settings, much of that work appears to lack genuine plurality of worldviews and interests.The paper traces the changing contexts for futures research over the past 25 years. It argues that futures research needs to be viewed as part of the re-politicisation – in the Habermasian sense – of technocratic decision-making. It suggests that there are three particular reasons for revisiting the need for criticality in futures research: the increasing acknowledgement of systemic interrelatedness (ecological, social, economic), a growth in the forward-looking socio-economic paradigm that permeates both business and policy, and the challenge of theory development. Drawing on social theory and futures research, we suggest three pathways for revived critical futures research: socio-technical practices, future-oriented dialectics, and socio-economic imaginaries. As a result, the paper calls for development in futures studies that would dialectically integrate and overcome the dichotomy between instrumentalisation and (critical) theorising that can be currently understood as somewhat antagonistic. In order to find a balance between these antagonistic dimensions, futures research should be more engaged in enabling critique and revealing assumptions and interests.     

Explorations in intercultural work integrated learning: Educational process for a Topsy-Turvy world

This paper investigates how work integrated learning (WIL) can be re-imagined/re-enacted as collaborative playgrounds of networks. To do this we first establish the working context for these reflections by exploring fragments of biography and the immediate catalyst which was a recent seminar held over 5 days, beginning in the rural Swedish town of Ed and, for the last 2 days, at University West in Trollhättan. We then set out to explore the normative and theoretical context of our approach before finally moving to an exploration of the concept of WIL via CLA and scenarios. Our overall goal is to describe some features of an expanded concept of WIL as it relates to intercultural learning. In doing this we hope to generate processes that facilitate the kind of learning necessary if we are to enable teachers and students to build sustainable futures they can realistically aspire to.     

Risk management in the energy markets and Value-at-Risk modelling: a hybrid approach

This paper proposes a set of Value-at-Risk (VaR) models appropriate to capture the dynamics of energy prices and subsequently quantify energy price risk by calculating VaR and expected shortfall measures. Amongst the competing VaR methodologies evaluated in this paper, besides the commonly used benchmark models, a Monte Carlo (MC) simulation approach and a hybrid MC with historical simulation approach, both assuming various processes for the underlying spot prices, are also being employed. All VaR models are empirically tested on eight spot energy commodities that trade futures contracts on the New York Mercantile Exchange (NYMEX) and the constructed Spot Energy Index. A two-stage evaluation and selection process is applied, combining statistical and economic measures, to choose amongst the competing VaR models. Finally, both long and short trading positions are considered as it is of utmost importance for energy traders and risk managers to be able to capture efficiently the characteristics of both tails of the distributions.     

From objective to constituted risk: an alternative approach to safety in strategic technological innovation in the European Union

Safety is a legitimate means of limiting technological innovation in our societies. However, the potential socio-economic impact of curtailing techno-industrial progress on the grounds of safety means that risk governance policies tend to restrict the range of legitimate approaches to safety on the principle that it can only be discussed in the frame of an allegedly objective scientific representation of risk. In European risk governance, socio-economic factors such as the underlying innovation rationales and goals are not openly considered to be related to the constitution of safety, but tend largely to be treated as factors of subjective reaction towards risk and technology. This paper seeks to overcome that approach by proposing a ‘constitutive’ understanding of how risk and socio-economic factors and dynamics relate, focusing in particular on the ‘safe and responsible’ development of nanotechnology in the European Union (EU). I argue that risk is constituted according to socio-economic considerations, and that the controllability of the environmental and health risks of nanotechnology in the EU is assumed on principle in the very strong institutional commitment to the industrial exploitation of nanotechnology R&D. Using a constitutive approach, we may legitimately conceive a broader set of potential safety scenarios, while at the same time highlighting major obstacles to implementing more critical constitutions of techno-industrial risk in the framework of a highly competitive knowledge-based global economy.     

On applied science, prediction and contingency

Like any other science, to remain a worthwhile scientific discipline, futures research needs to reflect on itself. It needs to do so from three perspectives: 1) futures research is regarded as an applied science: a closer connection between studying the future in an academic manner and conducting futures research can improve the quality and subsequently the use and impact of futures research, since this will set a cyclic process between theory and practice in motion. An important condition for ensuring this is to increase the amount of empirical research concerning the way futures research is carried out in real life; 2) a reappraisal of predicting the future: although history has shown that predicting the future is difficult, stating that, in the future, predictions will not be a part of futures research is in itself a prediction. In fact, predictions can serve as valuable starting points for discourses on the future; 3) the context of futures research: futures researchers should be more aware of the context in which they do their work. This can significantly enhance the usability of futures research but it also means that futures researchers should become more flexible in applying their methods and processes.     

A Pricing Model for Quantity Contracts

An economic model is proposed for a combined price futures and yield futures market. The innovation of the article is a technique of transforming from quantity and price to a model of two genuine pricing processes. This is required in order to apply modern financial theory. It is demonstrated that the resulting model can be estimated solely from data for a yield futures market and a price futures market. We develop a set of pricing formulas, some of which are partially tested, using price data for area yield options from the Chicago Board of Trade. Compared to a simple application of the standard Black and Scholes model, our approach seems promising.     

Models, knowledge creation and their limits

Instead of modelling socio-economic situations as mechanical systems with fixed, predictable behaviour, we now see that socio-economic systems are really complex systems, in which various possible structural changes can occur giving rise to a range of different possible futures. This necessary future uncertainty automatically imposes an uncertainty on the precise pay-off that any particular action or decision that an agent may take. Because of this, the decisions that agents will make are also uncertain and this poses limits to our ability to model socio-economic systems and therefore to the knowledge that we can have at any time about the future. Because of this constant knowledge decay, what matters in real world situations of markets and business is the generation of new, current knowledge. Contrary to traditional science in which the natural laws are independent of who knows them, in social and economic systems, knowledge of system behaviour decays over time, and is in any case used up when it triggers new behaviour in the system. Several examples of evolutionary market systems are presented which demonstrate how knowledge is constantly created and destroyed, and the problem of change, innovation and design are shown to be part of a ‘boundedly rational’ view in which imperfect search gives rise to ‘good enough’ behaviour. All of this is a radical departure from the traditional approach that falsely believe in the optimisation of designs, behaviours and profits. Complexity tells us that we must accept risk and uncertainty and work loosely, keeping our options open as much as possible.     

Future utility services’ (un)knowns framework: Knowledge existence and knowledge reach

This paper presents a framework for assessing risks and uncertainties in the domain of utility services in futures up to 100 years hence. A nine-step process framework is presented following a review of extant literature. The framework provides a way to quantitatively and qualitatively evaluate one or more vignettes (potential future utility infrastructure solutions) by examining: 1. Alternative scenario contexts; 2. User utility service requirements; 3. Technologies’ readiness; 4. Knowledge of each technology life cycle stage; 5. Criticality of technologies to user requirements; 6. Interdependencies between technologies. The framework is based on collecting multiple expert contributions in order to arrive at a comparative evaluation. We use the ‘city blood’ vignette, which represents an infrastructure system delivering hydrogen enriched water, to apply the framework to two radically different scenario contexts.     

What future for health futures in Latin America and the Caribbean?

The Pan American Health Organization (PAHO), Regional Office of the World Health Organization, is a United Nations agency specializing in providing technical cooperation in health to the countries of Latin America and the Caribbean. A futures approach has much to offer in this endeavour, and PAHO is making health futures tools available to its Member States through a variety of activities. The purpose of promoting futures thinking and the application of futures tools is to improve health-policy planning and public health action within the framework of the ‘Health for All’ vision and PAHO's current Strategic and Programmatic Orientations.     

Design futures in action: Documenting experiential futures for participatory audiences

The futures field demonstrates a willing openness in embracing methodologies, approaches, and influences from a diversity of disciplines and perspectives. This plurality of practice is evidenced in a growing body of work that increasingly embodies futures thinking in the design of everyday material and networked experiences. The intersection of design and futures produces artifacts, applications and interactions created to provoke dialog in an accessible manner. As part of the Futures special issue on the Emerge: Artists and Scientists Redesign the Future event, this article describes the documentation and public representation of the creative outcomes from nine Emerge design futures workshops. These workshops provided a rich opportunity to study how designers and futurists collaboratively engage, implement and communicate alternative futures. The goal of the documentation effort described is to capture the experience of creating experiential futures and extend the capacity for developing social foresight through a participatory exhibit and online social platform.     

Explosion in the quasi-Gaussian HJM model

We study the explosion of the solutions of the SDE in the quasi-Gaussian HJM model with a CEV-type volatility. The quasi-Gaussian HJM models are a popular approach for modeling the dynamics of the yield curve. This is due to their low-dimensional Markovian representation which simplifies their numerical implementation and simulation. We show rigorously that the short rate in these models explodes in finite time with positive probability, under certain assumptions for the model parameters, and that the explosion occurs in finite time with probability one under some stronger assumptions. We discuss the implications of these results for the pricing of the zero coupon bonds and Eurodollar futures under this model.     

Sectoral innovation system foresight in practice: Nordic facilities management foresight

A number of studies have explored the interconnection between the foresight literature and the innovation system literature. This paper adds to these studies by investigating how theoretical elements of the innovation system approach can contribute to the design and practice of foresight processes. The paper originates in a foresight project in the Nordic facilities management sector. The goal of the foresight project was to identify the possible futures of the facilities management sector in the Nordic countries (Denmark, Finland, Norway, and Sweden) and, based on the findings, to establish a proposal for a common Nordic facilities management research agenda. The paper finds that three elements of the innovation system literature are of particular interest for the practice of foresight: innovation systems and context dependency, learning and user–producer interactions, and the role of knowledge and knowledge production. These elements are embedded into a simple sectoral innovation system model (including actors, knowledge flows, and the strategic environment).     

The Impact of Futures Trading on the Spot Market for Treasury Bonds

Critics of futures markets contend that futures trading destabilizes spot prices and raises price levels of the underlying treasury bonds, while the proponents claim that futures trading improves the information content and stability of spot prices. To investigate these conflicting viewpoints, this paper examines the price behavior of treasury bonds at three critical time points: a) as they enter, retain, and exit the cheapest-to-deliver status; b) as they approach the futures delivery date; and, c) as they cease to be deliverable. An empirical analysis based on a rich data set of daily bond prices over thirty-four delivery quarters reveals little support for the critics’ view of futures trading.     

Historical analysis as a basis for population foresight

A framework for conducting historical analysis of population reactions to stimuli is presented. This analysis provides a structured, rigorous and auditable approach to forecasting population behaviours. The multi-methodology approach takes complex qualitative data and structures it in such a way that patterns of population behaviours can be identified and semi quantitative data can be extracted for further analysis. The ability of the framework to allow simple contextual analysis is discussed, as is its ability to provide the foundations for understanding stimuli. Together, the information provided by the framework can be used as the basis for generation of plausible future scenarios within appropriate contexts for both the near and far futures. Additionally, both current and future events and stimuli can be added to the model as they occur, to either evolve or validate trends in population behaviours.     

Post-1984 global system perspectives

The technological and economic state of today's global system is qualitatively different and less pessimistic than that predicted by Club of Rome forecasters. Observations such as this support the thesis that the global system tends to maximize the positive or constructive effects of its development and minimize the negative or destructive effects. The fundamental criterion of this process of optimization is the development and use of the intellectual potential power (IPP) of mankind. This article attempts to provide an operative definition of the qualitative content of this criterion, in certain unpredictable, critical events in the post-1984 global scenario. The first part of the article presents a theoretical concept of the phenomenon of IPP and briefly discusses a methodological approach to futures research. The second part presents some selected results obtained by applying this approach to the post-1984 global system.