Climate change and cities: problem structuring methods and critical perspectives on low-carbon districts

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.Cities around the world have set climate change mitigation targets, yet actions to implement these targets have so far proved inadequate. Better methodology is needed to support this impetus for action. Problem structuring methods (PSMs) enable improvements to be made in wicked problem situations; they appear to have potential to improve climate change mitigation actions but they are difficult to carry out in highly pluralist problem contexts. A case study (STEEP) that applied a PSM to support lowcarbon urban energy master planning in three cities is presented. The STEEP methodology was effective in reducing the wickedness of the problem but issues of a lack of clarity on problem ownership and lack of interessement were seen. A reflective boundary critique study found that there was a mismatch between power and interest amongst key stakeholders towards the low-carbon vision. Three key issues identified in the case study were discussed through the lens of critical systems thinking: (i) the need for new competencies, (ii) dealing with wickedness, and (iii) behavioural complexity and discordant reference systems. The paper suggests how these issues might be improved through the application of non-PSM theories which can support the use of PSMs in improving city-level climate change mitigation.This work was supported in part by the EU FP7-ENERGY-SMARTCITIES-2012 (314277) project STEEP (Systems Thinking for Comprehensive City Efficient Energy Planning)

Software Engineering Laboratory Series: Collected Software Engineering Papers

The Software Engineering Laboratory (SEL) is an organization sponsored by NASA/GSFC and created to investigate the effectiveness of software engineering technologies when applied to the development of application software. The activities, findings, and recommendations of the SEL are recorded in the Software Engineering Laboratory Series, a continuing series of reports that includes this document

Proceedings of the Thirteenth Annual Software Engineering Workshop

Topics covered in the workshop included studies and experiments conducted in the Software Engineering Laboratory (SEL), a cooperative effort of NASA Goddard Space Flight Center, the University of Maryland, and Computer Sciences Corporation; software models; software products; and software tools

Collisions, Design & The Swerve

If only everything were formed of neat laminar flows, with easy to understand conditions, and determinable outcomes: there would be no risk to manage out, messy inconsistencies and uncertainties to disrupt well-laid out plans. Things are not so clear-cut however. Indeed, as scientists, poets and philosophers of science have pointed out it is under conditions of nondeterminism and complexity that everything comes into being. There is an issue, then, when creative disciplines in particular find such complexity problematic enough to design systems and models in which uncertainty, disruption and aleatory collisions are if not destroyed, then dampened. We wonder: what might become of a creative practice that championed its encounter with The Swerve, Lucretius's clinamen? This article examines the role, value and applicability of the concept of collision to design. It takes a philosophical approach to examining this concept and mapping the possibilities of its use in design. We will argue using concepts mainly from Lucretius and Serres – but also Deleuze and others – that collision is an important aspect of all creativity, and that there would be nothing were it not for collisions, disruptive deviation and swerves from equilibrium. The aim will be to articulate the conditions for the possibility of designing that is a 'fan of collisions'

Proceedings of the Eighth Annual Software Engineering Workshop

The four major topics of discussion included: the NASA Software Engineering Laboratory, software testing, human factors in software engineering and software quality assessment. As in the past years, there were 12 position papers presented (3 for each topic) followed by questions and very heavy participation by the general audience

Simulation of the effects of climate change on forage and cattle production in Saskatchewan

Multiple global climate models suggest that the Canadian Prairies will experience temperature increases due to climate warming. This could influence pasture and grazing production. Three climate scenarios CGCM2 A21, CSIROMk2 B11 and HadCM3 A21 were used to predict daily weather data to 2099 and incorporated into the GrassGro decision support tool to project pastoral production during 30-year increments, 2010 to 2099. Simulations were compared with the World Meterological Organization baseline years, 1961-1990 at two sites (Saskatoon and Melfort) and two soil textures (loam topsoil / loam subsoil and sandy-loam / sandy-clay-loam). Two tame grasses [crested wheatgrass (CWG; Agropyron cristatum) and hybrid bromegrass (HBG; Bromus inermis x Bromus riparius) and a mixed native pasture (Festuca hallii; Elymus lanceolatus; Pascopyrum smithii; Nassella viridula) were studied at each location. Soil moisture was greater for loam/loam than sandy-loam/sandy-clay-loam resulting in more plant available moisture in all climate scenarios at both locations. However, plant available moisture alone was unable to explain changes in pasture dry matter (DM) production. The results projected from CGCM2 A21 were more favorable to plant and livestock production than those of CSIROMk2 B11 and HadCM3 A21. CGCM2 A21 simulated increases in mean DM production of HBG at both locations during spring each 30-yr period (

Introduction to the Handbook on Planning and Complexity

What planners should know: revolution and evolution are as real and essential to life as water and air. Revolution and evolution are expressions of change. We take the stand that spontaneous and autonomous change is a factor in the everyday environment we’re part of. In this chapter we explore the possibilities of making this kind of change part of the planners’ frame of reference. Traditionally planners’ concern is about effectively intervening in space and place, hence the desire for controlled environments. Contemporary planners also have a preference to act on the basis of consensus among the various parties involved, to create a world that is agreed upon. The message here is not that these approaches are bad or wrong, but, on the contrary, there’s more. The complexity sciences are a major source of inspiration for spatial planning, as these point out the importance of time, non-linearity, transformation and dynamics. That, together with the complexity sciences’ explaining power about co-evolutionary processes and processes of self-organization, for example within the urban environment, make the complexity sciences relevant to planners. On the other hand, this chapter also emphasizes being critical, as intentional change made by purposeful interventions remain a necessity. Also, the complexity sciences have a preference for quantitative data, while intersubjective interaction has proven its value to planning and should remain key to planning actions and the planning discipline. When it comes to mutual inspiration between planning and complexity, this chapter takes into account both opportunities and threats.</p

Software Engineering Laboratory Series: Collected Software Engineering Papers

The Software Engineering Laboratory (SEL) is an organization sponsored by NASA/GSFC and created to investigate the effectiveness of software engineering technologies when applied to the development of application software. The activities, findings, and recommendations of the SEL are recorded in the Software Engineering Laboratory Series, a continuing series of reports that includes this document

Generation of (synthetic) influent data for performing wastewater treatment modelling studies

The success of many modelling studies strongly depends on the availability of sufficiently long influent time series - the main disturbance of a typical wastewater treatment plant (WWTP) - representing the inherent natural variability at the plant inlet as accurately as possible. This is an important point since most modelling projects suffer from a lack of realistic data representing the influent wastewater dynamics. The objective of this paper is to show the advantages of creating synthetic data when performing modelling studies for WWTPs. This study reviews the different principles that influent generators can be based on, in order to create realistic influent time series. In addition, the paper summarizes the variables that those models can describe: influent flow rate, temperature and traditional/emerging pollution compounds, weather conditions (dry/wet) as well as their temporal resolution (from minutes to years). The importance of calibration/validation is addressed and the authors critically analyse the pros and cons of manual versus automatic and frequentistic vs Bayesian methods. The presentation will focus on potential engineering applications of influent generators, illustrating the different model concepts with case studies. The authors have significant experience using these types of tools and have worked on interesting case studies that they will share with the audience. Discussion with experts at the WWTmod seminar shall facilitate identifying critical knowledge gaps in current WWTP influent disturbance models. Finally, the outcome of these discussions will be used to define specific tasks that should be tackled in the near future to achieve more general acceptance and use of WWTP influent generators