scholarly journals The core academic and scientific disciplines underlying data-driven smart sustainable urbanism: an interdisciplinary and transdisciplinary framework

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Simon Elias Bibri
Keyword(s):  
The Body ◽  
Data Driven ◽  
New Era ◽  
The Core ◽  
Sustainable Urbanism ◽  
Scientific Disciplines ◽  
Specific Direction ◽  
Research Problems ◽  
Urban Planning And Development ◽  
Application Potential

AbstractA new era is presently unfolding wherein both smart urbanism and sustainable urbanism processes and practices are becoming highly responsive to a form of data-driven urbanism under what has to be identified as data-driven smart sustainable urbanism. This flourishing field of research is profoundly interdisciplinary and transdisciplinary in nature. It operates out of the understanding that advances in knowledge necessitate pursuing multifaceted questions that can only be resolved from the vantage point of interdisciplinarity and transdisciplinarity. This implies that the research problems within the field of data-driven smart sustainable urbanism are inherently too complex and dynamic to be addressed by single disciplines. As this field is not a specific direction of research, it does not have a unitary disciplinary framework in terms of a uniform set of the academic and scientific disciplines from which the underlying theories can be drawn. These theories constitute a unified foundation for the practice of data-driven smart sustainable urbanism. Therefore, it is of significant importance to develop an interdisciplinary and transdisciplinary framework. With that in regard, this paper identifies, describes, discusses, evaluates, and thematically organizes the core academic and scientific disciplines underlying the field of data-driven smart sustainable urbanism. This work provides an important lens through which to understand the set of established and emerging disciplines that have high integration, fusion, and application potential for informing the processes and practices of data-driven smart sustainable urbanism. As such, it provides fertile insights into the core foundational principles of data-driven smart sustainable urbanism as an applied domain in terms of its scientific, technological, and computational strands. The novelty of the proposed framework lies in its original contribution to the body of foundational knowledge of an emerging field of urban planning and development.

scholarly journals Smart Eco-City Strategies and Solutions for Sustainability: The Cases of Royal Seaport, Stockholm, and Western Harbor, Malmö, Sweden

Urban Science ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 11 ◽  
Author(s):  
Simon Elias Bibri ◽  
John Krogstie
Keyword(s):  
Environmental Economic ◽  
Urban Planning ◽  
Behavioral Change ◽  
Sustainable Transportation ◽  
Social Goals ◽  
Design And Technology ◽  
The Core ◽  
Sustainable Urbanism ◽  
City District ◽  
Urban Planning And Development

Sustainable urbanism is seen today as one of the keys towards unlocking the quest for a sustainable society. As a central paradigm of sustainable urbanism, the eco-city is promoted by global and local policies as one of the preferred responses to the challenges of sustainable development. It is argued that eco-city strategies are expected to deliver positive outcomes in terms of providing healthy and livable human environments in conjunction with minimal demand on resources and thus minimal environmental impacts. As such, it is pertinent to examine how the eco-city model and especially its three sustainability dimensions is practiced and justified in urban planning and development at the local level. This is motivated by the increased interest in developing sustainable urban districts. In this light, this study seeks to answer the following two questions: What are the key strategies of the eco-city district model, and in what ways do they mutually complement one another in terms of producing the expected tripartite value of sustainability? To what extent does the eco-city district model support and contribute to the environmental, economic, and social goals of sustainability? To illuminate the phenomenon of the eco-city district accordingly, a descriptive case study is adopted as a qualitative research methodology, where the empirical basis is mainly formed by urban planning and development documents in two eco-city districts—Royal Seaport, Stockholm, and Western Harbor, Malmö, Sweden—in combination with qualitative interview data, secondary data, and scientific literature. This study shows that the eco-city district models of SRS and Western Harbor involve mainly design and technology, supported with behavioral change, as key strategies and solutions for achieving urban sustainability. Design encompasses greening, passive solar houses, sustainable transportation, mixed land use, and diversity. And technology comprises green technologies, energy efficiency technologies, and waste management systems. Design contributes to the three goals of sustainability, and technology contributes mostly to the environmental and economic goals of sustainability. Behavioral change is associated with sustainable travel, waste separation, and energy consumption. Moreover, at the core of the eco-city district model is the clear synergy between the underlying strategies in terms of their cooperation to produce combined effects greater than the sum of their separate effects with respect to the benefits of sustainability. Further, this study demonstrates that while the environmental, economic, and social goals of sustainability are represented in eco-city district strategies on a discursive level, institutionalized planning practices show that the environmental goals remain at the core of planning, while the economic and social goals still play second fiddle. Nevertheless, new measures have recently been implemented in Western Harbor that are expected to strengthen their influence over urban development practices, whereas the Royal Seaport program mainly focuses on the environmental and some economic aspects, which is a shortcoming that should be recognized and dealt with.

Force in Nature

2020 ◽  
pp. 146-160
Author(s):  
David Carus
Keyword(s):  
Natural Science ◽  
The Body ◽  
The Core ◽  
Thing In Itself ◽  
The Will ◽  
Insight Into

This chapter explores Schopenhauer’s concept of force, which lies at the root of his philosophy. It is force in nature and thus in natural science that is inexplicable and grabs Schopenhauer’s attention. To answer the question of what this inexplicable term is at the root of all causation, Schopenhauer looks to the will within us. Through will, he maintains that we gain immediate insight into forces in nature and hence into the thing in itself at the core of everything and all things. Will is thus Schopenhauer’s attempt to answer the question of the essence of appearance. Yet will, as it turns out, cannot be known immediately as it is subject to time, and the acts of will, which we experience within us, do not correlate immediately with the actions of the body (as Schopenhauer had originally postulated). Hence, the acts of will do not lead to an explanation of force, which is at the root of causation in nature. Schopenhauer sets out to explain what is at the root of all appearances, derived from the question of an original cause, or as Schopenhauer states “the cause of causation,” but cannot determine this essence other than by stating that it is will; a will, however, that cannot be immediately known.

scholarly journals A novel model for data-driven smart sustainable cities of the future: the institutional transformations required for balancing and advancing the three goals of sustainability

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Simon Elias Bibri
Keyword(s):  
Smart Cities ◽  
Case Study Research ◽  
Development Planning ◽  
Three Dimensions ◽  
Data Driven ◽  
Sustainable Cities ◽  
Sustainable Urbanism ◽  
The Future ◽  
Novel Model ◽  
Smart Urbanism

AbstractIn recent years, it has become increasingly feasible to achieve important improvements of sustainability by integrating sustainable urbanism with smart urbanism thanks to the proven role and synergic potential of data-driven technologies. Indeed, the processes and practices of both of these approaches to urban planning and development are becoming highly responsive to a form of data-driven urbanism, giving rise to a new phenomenon known as “data-driven smart sustainable urbanism.” Underlying this emerging approach is the idea of combining and integrating the strengths of sustainable cities and smart cities and harnessing the synergies of their strategies and solutions in ways that enable sustainable cities to optimize, enhance, and maintain their performance on the basis of the innovative data-driven technologies offered by smart cities. These strengths and synergies can be clearly demonstrated by combining the advantages of sustainable urbanism and smart urbanism. To enable such combination, major institutional transformations are required in terms of enhanced and new practices and competences. Based on case study research, this paper identifies, distills, and enumerates the key benefits, potentials, and opportunities of sustainable cities and smart cities with respect to the three dimensions of sustainability, as well as the key institutional transformations needed to support the balancing of these dimensions and to enable the introduction of data-driven technology and the adoption of applied data-driven solutions in city operational management and development planning. This paper is an integral part of a futures study that aims to analyze, investigate, and develop a novel model for data-driven smart sustainable cities of the future. I argue that the emerging data-driven technologies for sustainability as innovative niches are reconfiguring the socio-technical landscape of institutions, as well as providing insights to policymakers into pathways for strengthening existing institutionalized practices and competences and developing and establishing new ones. This is necessary for balancing and advancing the goals of sustainability and thus achieving a desirable future.

Contour clustering: A field-data-driven approach for documenting and analysing prototypical f0 contours

2021 ◽  
pp. 1-30
Author(s):  
Constantijn Kaland
Keyword(s):  
Cluster Analysis ◽  
User Interfaces ◽  
Data Driven ◽  
Language Documentation ◽  
Cluster Number ◽  
Automatic Data ◽  
Speaker Variability ◽  
The Core ◽  
Data Driven Approach ◽  
Confirmatory Analysis

ABSTRACT This paper reports an automatic data-driven analysis for describing prototypical intonation patterns, particularly suitable for initial stages of prosodic research and language description. The approach has several advantages over traditional ways to investigate intonation, such as the applicability to spontaneous speech, language- and domain-independency, and the potential of revealing meaningful functions of intonation. These features make the approach particularly useful for language documentation, where the description of prosody is often lacking. The core of this approach is a cluster analysis on a time-series of f0 measurements and consists of two scripts (Praat and R, available from https://constantijnkaland.github.io/contourclustering/). Graphical user interfaces can be used to perform the analyses on collected data ranging from spontaneous to highly controlled speech. There is limited need for manual annotation prior to analysis and speaker variability can be accounted for. After cluster analysis, Praat textgrids can be generated with the cluster number annotated for each individual contour. Although further confirmatory analysis is still required, the outcomes provide useful and unbiased directions for any investigation of prototypical f0 contours based on their acoustic form.

scholarly journals Vibration-Sensing Electronic Yarns for the Monitoring of Hand Transmitted Vibrations

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2780
Author(s):  
Zahra Rahemtulla ◽  
Theodore Hughes-Riley ◽  
Tilak Dias
Keyword(s):  
Monitoring System ◽  
Index Finger ◽  
Textile Yarn ◽  
The Body ◽  
Severe Injuries ◽  
The Core ◽  
Vibration Sensing ◽  
Yarn Structure ◽  
Fabric Sample ◽  
Power Tools

Overexposure to hand transmitted vibrations (HTVs) from prolonged use of vibrating power tools can result in severe injuries. By monitoring the exposure of a worker to HTVs, overexposure, and injury, can be mitigated. An ideal HTV-monitoring system would measure vibration were it enters the body, which for many power tools will be the palm and fingers, however this is difficult to achieve using conventional transducers as they will affect the comfort of the user and subsequently alter the way that the tool is held. By embedding a transducer within the core of a textile yarn, that can be used to produce a glove, vibration can be monitored close to where it enters the body without compromising the comfort of the user. This work presents a vibration-sensing electronic yarn that was created by embedding a commercially available accelerometer within the structure of a yarn. These yarns were subsequently used to produce a vibration-sensing glove. The purpose of this study is to characterize the response of the embedded accelerometer over a range of relevant frequencies and vibration amplitudes at each stage of the electronic yarn’s manufacture to understand how the yarn structure influences the sensors response. The vibration-sensing electronic yarn was subsequently incorporated into a fabric sample and characterized. Finally, four vibration-sensing electronic yarns were used to produce a vibration-sensing glove that is capable of monitoring vibration at the palm and index finger.

An Episode in the History of PreCrime

2018 ◽  
Vol 48 (5) ◽  
pp. 637-647
Author(s):  
Rebecca Lemov
Keyword(s):  
Mathematical Models ◽  
Crime Prevention ◽  
Scientific Study ◽  
Behavioral Data ◽  
Data Driven ◽  
Special Issue ◽  
Predictive Policing ◽  
The Core ◽  
Current Spread ◽  
History Of

This article traces the rise of “predictive” attitudes to crime prevention. After a brief summary of the current spread of predictive policing based on person-centered and place-centered mathematical models, an episode in the scientific study of future crime is examined. At UCLA between 1969 and 1973, a well-funded “violence center” occasioned great hopes that the quotient of human “dangerousness”—potential violence against other humans—could be quantified and thereby controlled. At the core of the center, under the direction of interrogation expert and psychiatrist Louis Jolyon West, was a project to gather unprecedented amounts of behavioral data and centrally store it to identify emergent crime. Protesters correctly seized on the violence center as a potential site of racially targeted experimentation in psychosurgery and an example of iatrogenic science. Yet the eventual spectacular failure of the center belies an ultimate success: its data-driven vision itself predicted the Philip K. Dick–style PreCrime policing now emerging. The UCLA violence center thus offers an alternative genealogy to predictive policing. This essay is part of a special issue entitled Histories of Data and the Database edited by Soraya de Chadarevian and Theodore M. Porter.

Heat balance precedes stabilization of body temperatures during cold water immersion

2003 ◽  
Vol 95 (1) ◽  
pp. 89-96 ◽  
Author(s):  
Peter Tikuisis
Keyword(s):  
Heat Balance ◽  
Cold Water ◽  
Water Immersion ◽  
Heat Content ◽  
Cold Water Immersion ◽  
The Body ◽  
Body Temperatures ◽  
Mean Body Temperature ◽  
The Core ◽  
Region Temperature

Certain previous studies suggest, as hypothesized herein, that heat balance (i.e., when heat loss is matched by heat production) is attained before stabilization of body temperatures during cold exposure. This phenomenon is explained through a theoretical analysis of heat distribution in the body applied to an experiment involving cold water immersion. Six healthy and fit men (mean ± SD of age = 37.5 ± 6.5 yr, height = 1.79 ± 0.07 m, mass = 81.8 ± 9.5 kg, body fat = 17.3 ± 4.2%, maximal O2 uptake = 46.9 ± 5.5 l/min) were immersed in water ranging from 16.4 to 24.1°C for up to 10 h. Core temperature (Tco) underwent an insignificant transient rise during the first hour of immersion, then declined steadily for several hours, although no subject's Tco reached 35°C. Despite the continued decrease in Tco, shivering had reached a steady state of ∼2 × resting metabolism. Heat debt peaked at 932 ± 334 kJ after 2 h of immersion, indicating the attainment of heat balance, but unexpectedly proceeded to decline at ∼48 kJ/h, indicating a recovery of mean body temperature. These observations were rationalized by introducing a third compartment of the body, comprising fat, connective tissue, muscle, and bone, between the core (viscera and vessels) and skin. Temperature change in this “mid region” can account for the incongruity between the body's heat debt and the changes in only the core and skin temperatures. The mid region temperature decreased by 3.7 ± 1.1°C at maximal heat debt and increased slowly thereafter. The reversal in heat debt might help explain why shivering drive failed to respond to a continued decrease in Tco, as shivering drive might be modulated by changes in body heat content.

scholarly journals Responses of Anterior Superior Temporal Polysensory (STPa) Neurons to “Biological Motion” Stimuli

1994 ◽  
Vol 6 (2) ◽  
pp. 99-116 ◽  
Author(s):  
M. W. Oram ◽  
D. I. Perrett
Keyword(s):  
Biological Motion ◽  
Temporal Cortex ◽  
The Body ◽  
Body Motion ◽  
Whole Body ◽  
Global Pattern ◽  
Lighting Conditions ◽  
Specific Direction ◽  
Direction Of Movement ◽  
Light Stimuli

Cells have been found in the superior temporal polysensory area (STPa) of the macaque temporal cortex that are selectively responsive to the sight of particular whole body movements (e.g., walking) under normal lighting. These cells typically discriminate the direction of walking and the view of the body (e.g., left profile walking left). We investigated the extent to which these cells are responsive under “biological motion” conditions where the form of the body is defined only by the movement of light patches attached to the points of limb articulation. One-third of the cells (25/72) selective for the form and motion of walking bodies showed sensitivity to the moving light displays. Seven of these cells showed only partial sensitivity to form from motion, in so far as the cells responded more to moving light displays than to moving controls but failed to discriminate body view. These seven cells exhibited directional selectivity. Eighteen cells showed statistical discrimination for both direction of movement and body view under biological motion conditions. Most of these cells showed reduced responses to the impoverished moving light stimuli compared to full light conditions. The 18 cells were thus sensitive to detailed form information (body view) from the pattern of articulating motion. Cellular processing of the global pattern of articulation was indicated by the observations that none of these cells were found sensitive to movement of individual limbs and that jumbling the pattern of moving limbs reduced response magnitude. A further 10 cells were tested for sensitivity to moving light displays of whole body actions other than walking. Of these cells 5/10 showed selectivity for form displayed by biological motion stimuli that paralleled the selectivity under normal lighting conditions. The cell responses thus provide direct evidence for neural mechanisms computing form from nonrigid motion. The selectivity of the cells was for body view, specific direction, and specific type of body motion presented by moving light displays and is not predicted by many current computational approaches to the extraction of form from motion.

scholarly journals Disability and ICF Core Sets in Mood Disorders

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
J.L. Ayuso-Mateos
Keyword(s):  
Mood Disorders ◽  
Significant Loss ◽  
Consensus Conference ◽  
The Body ◽  
The Core ◽  
Core Sets ◽  
Biopsychosocial Perspective ◽  
Icf Core Sets ◽  
Different Levels

The concept of disability has changed enormously, from a notion of handicap (ICIDM,1980) to the idea of person with disability (ICF,2001). The ICF considers three different levels of disability: body, person and environment, offering a possibility to address it in a universal, integrative and interactive perspective. The utility of the ICF in shifting the attention from a medical to a biopsychosocial perspective is therefore accepted. Having 1464 categories, it is hardly applicable to clinical practice and research. Mood disorders are characterized by a variety of psychiatric and somatic symptoms, associated with a significant loss of quality of life and functioning. Practical tools, such as Core Sets, that cover the spectrum of problems are needed. ICF Core Sets have been developed for depression and are currently being developed by our group for bipolar disorder. The ICF Comprehensive Core Sets for depression is the second larger among 12 Comprehensive ICF Core Sets for chronic disorders. This fact reflects the complex limitations in functioning and the numerous interactions with environmental factors. From the first version of the ICF Core Sets for depression as well as the preliminary studies for the bipolar disorder's core sets mental functions are mostly represented among the body functions domain. Few aspects important to mood disorders, as suicide, have been found to be relevant from both a systematic literature review and an expert survey in BD and in the consensus conference were the Core Sets for depression were establish but are not covered in the ICF.

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