The SURegen Workbench

2012 ◽  
Vol 1 (2) ◽  
pp. 44-64 ◽  
Author(s):  
Yun Chen ◽  
Yonghui Song ◽  
Samantha Bowker ◽  
Andy Hamilton
Keyword(s):  
Decision Making ◽  
Public Interest ◽  
Research Team ◽  
Urban Regeneration ◽  
Holistic Approach ◽  
Small Range ◽  
Planning Support Systems ◽  
Planning Support ◽  
The Past ◽  
Urban Problems

Urban regeneration is of considerable contemporary public interest and debate. Sustainable urban regeneration requires a comprehensive and integrated vision and action to address the resolution of urban problems and bring about a lasting improvement in the economic, physical, social, and environmental conditions of an area that has been subject to change. Thus, there are increased requirements for decision making and knowledge sharing by urban planners, local authorities, and other practitioners to achieve sustainability in urban regeneration activities. To address these challenges the research team of the Sustainable Urban Regeneration (SURegen) project (UK Government EPSRC funded, £2.5 Million, in the SUE programme) designed and implemented a prototype Regeneration Workbench, which addresses the key challenges in regeneration practice and provides a flexible and integrated e-platform. Over the past 20 years many Planning Support Systems (PSS) have been developed. Whereas most of these systems address a small range of issues, the SURegen workbench takes a holistic approach to all aspects that have influence sustainable regeneration. Furthermore, the workbench specifically addresses the management of urban regeneration projects and the skills gaps amongst regeneration professionals. This article describes the urban challenges addressed and details the SURegen approach to meeting these challenges.

Planning Support Systems

2020 ◽  
pp. 178-201
Keyword(s):  
Decision Making ◽  
Poverty Reduction ◽  
Support Systems ◽  
Development Planning ◽  
Economic Transformation ◽  
Geospatial Data ◽  
Planning Support Systems ◽  
Data Infrastructure ◽  
Planning Support ◽  
Spatial Decision Making

The chapter describes the planning support systems. It presents the resurgence of development planning and its evolution from focus on poverty reduction to a renewed emphasis on structural economic transformation. What conclusions can be drawn from experiences of countries that have succeeded in transforming their economies? Constraints of the planning are examined with examples of usage of geographic information systems, geospatial data infrastructure, and geospatial decision support system, as support for planning support systems and collaborative spatial decision making. Usages for the design on territorial, urban planning, and selected national public policies are presented.

scholarly journals URBAN REGENERATION FOR SUSTAINABLE COMMUNITIES: A CASE STUDY

2009 ◽  
Vol 15 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Sally McDonald ◽  
Naglis Malys ◽  
Vida Malienė
Keyword(s):  
Urban Regeneration ◽  
Economic Consequences ◽  
Sustainable Communities ◽  
Policy Initiatives ◽  
The Past ◽  
Sustainable Community ◽  
Urban Neighbourhoods ◽  
Urban Problems ◽  
The Uk

Over the past few decades, cities have been subjected to severe social and economic pressures, which have had a disproportionate impact on the urban environment. Consequently, this has increased the concentration of the most deprived households in the worst urban neighbourhoods. The UK Governments have attempted to tackle the physical, social and economic consequences of these changes through a variety of mechanisms and policy initiatives with varying degrees of success. The current objective can be interpreted as an attempt to implement regeneration projects or create sustainable communities/places through multi‐agency or partnership programmes. The nature and extent of urban problems are now very well documented; there has been a considerable learning process in the development of different urban regeneration programmes. Over the 20th and the beginning of 21st centuries, the nature of urban regeneration policy has changed direction several times and has applied different focuses. Today, a “sustainable community” is a key issue in an ambitious Government programme “umbrella”. As an objective of the present programme, the UK Government introduced the Sustainable Community Plan in 2003, describing a vision of how our communities are to be developed over next 20 years economically, socially and environmentally, while respecting the needs of future generations. The paper assesses how closely the Regeneration Programme is aligned to the Sustainable Communities Plan. The research within several surveys focuses on sustainable communities and urban regeneration, both have certain parallels and functional overlaps. Santrauka Šiuo metu siekiama įdiegti atgaivinimo projektus ir sukurti darniąsias bendruomenes pasitelkiant partnerystės programas. Darniosios bendruomenės kūrimas yra viena svarbiausių problemų, analizuojamų JK vyriausybės programoje. 2003 m. JK vyriausybes sukurtame darniųjų bendruomenių plane pateikiama vizija, kaip mūsų bendruomenės turetų vystytis ekonomiškai, socialiai ir aplinkos atžvilgiu per ateinančius 20 metu, atsižvelgiant į ateities kartų gerovę ir poreikius. Analizuojama, kaip glaustai miestų atgaivinimo programa yra suderinta su darniųjų bendruomenių kūrimo planu. Tyrimai, pagrįsti tiesioginėmis apklausomis, įvertina darniųjų bendruomenių ir miestų atgaivinimo pletrą bei sąsajas.

scholarly journals Reflecting on ‘Hannah’s Choice’: Using the Ethics of Care to Justify Child Participation in End of Life Decision-Making

2019 ◽  
Author(s):  
Kirsty L Moreton
Keyword(s):  
Decision Making ◽  
End Of Life ◽  
Holistic Approach ◽  
Ethics Of Care ◽  
The Past ◽  
Law And Policy ◽  
Life Saving ◽  
End Of Life Decision ◽  
Narrative Account ◽  
Life Decision

Abstract It has been ten years since the case of Hannah Jones—the 12-year-old girl who was permitted to refuse a potentially life-saving heart transplant. In the past decade, there has been some progress within law and policy in respect of children’s participatory rights (UNCRC—Article 12), and a greater understanding of family-centred decision-making. However, the courts still largely maintain their traditional reluctance to find children Gillick competent to refuse medical treatment. In this article, I revisit Hannah’s case through the narrative account provided by Hannah and her mother, to ascertain what lessons can be learnt. I use an Ethics of Care framework specially developed for children in mid-childhood, such as Hannah, to argue for more a creative and holistic approach to child decision-making in healthcare. I conclude that using traditional paradigms is untenable in the context of palliative care and at the end of life, and that the law should be able to accommodate greater, and even determinative, participation of children who are facing their own deaths.

Online Urban Information Systems

2011 ◽  
pp. 699-708
Author(s):  
Tan Yigitcanlar ◽  
Omur Saygin
Keyword(s):  
Decision Making ◽  
Support Systems ◽  
Economic Structure ◽  
Spatial Dimension ◽  
Point Of View ◽  
Planning Support Systems ◽  
Planning Support ◽  
Rapid Changes ◽  
Unique Nature ◽  
Increasing Demand

Countless factors affect the inner workings of a city, so in an attempt to gain an understanding of place and making sound decisions, planners need to utilize decision support systems (DSS) or planning support systems (PSS). PSS were originally developed as DSS in academia for experimental purposes, but like many other technologies, they became one of the most innovative technologies in parallel to rapid developments in software engineering as well as developments and advances in networks and hardware. Particularly, in the last decade, the awareness of PSS have been dramatically heightened with the increasing demand for a better, more reliable and furthermore a transparent decision-making process (Klosterman, Siebert, Hoque, Kim, & Parveen, 2003). Urban planning as an act has quite different perspective from the PSS point of view. The unique nature of planning requires that spatial dimension must be considered within the context of PSS. Additionally, the rapid changes in socio-economic structure cannot be easily monitored or controlled without an effective PSS.

scholarly journals Decision-making tool for a constructive relation between emblematic facilities and urban regeneration projects applied to the case of Riad El Feth Arts Centre in Algiers

2019 ◽  
Vol 38 (4) ◽  
pp. 107-117
Author(s):  
Ouafida Bouallag-Azoui ◽  
Ewa Berezowska-Azzag
Keyword(s):  
Decision Making ◽  
Local Development ◽  
Urban Regeneration ◽  
Holistic Approach ◽  
Development Strategies ◽  
Urban Change ◽  
Study Case ◽  
Urban Strategy ◽  
Operational Tool ◽  
Decision Making Tool

Abstract Considered as a lever for urban regeneration politics, the construction of emblematic facilities is also a way to enhance metropolitan attractiveness. The Algerian capital is no exception to this rule. These new urban icons are designed to be the catalysts of urban change, and are expected to improve the adaptation of metropolitan localities to new needs and developmental challenges. However, in the field, this iconic regeneration does not always bring the expected changes. The Riad El Feth Arts Centre, an iconic facility located in the central municipality of El Madania in Algiers, is one example. In this paper we propose an operational tool called EFLUR (Emblematic Facilities Leverage of Urban Regeneration), intended to facilitate urban decision-making by evaluating the leverage of emblematic facilities at targets of urban strategy. It helps to assesses and optimise their leverage capacity by identifying their failures and opportunities, with a view to undertaking necessary actions, both to amplify positive contamination and to limit detrimental effects. The Riad El Feth is selected as a study case to validate our approach and test the operationality of EFLUR. Beyond conventional impact studies, the value of this tool lies in its holistic approach and capacity to combine metropolitan objectives with local development strategies.

Truth Matters: Cognitive Integrity as an Intervention for Self-Deception

2017 ◽  
Author(s):  
Eugenia Isabel Gorlin ◽  
Michael W. Otto
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Autonomous Agents ◽  
Therapeutic Interventions ◽  
Empirical Validation ◽  
The Past ◽  
Adaptive Problem

To live well in the present, we take direction from the past. Yet, individuals may engage in a variety of behaviors that distort their past and current circumstances, reducing the likelihood of adaptive problem solving and decision making. In this article, we attend to self-deception as one such class of behaviors. Drawing upon research showing both the maladaptive consequences and self-perpetuating nature of self-deception, we propose that self-deception is an understudied risk and maintaining factor for psychopathology, and we introduce a “cognitive-integrity”-based approach that may hold promise for increasing the reach and effectiveness of our existing therapeutic interventions. Pending empirical validation of this theoretically-informed approach, we posit that patients may become more informed and autonomous agents in their own therapeutic growth by becoming more honest with themselves.

Evidence-based Assessment

2010 ◽  
pp. 76-98
Author(s):  
John Hunsley ◽  
Eric J. Mash
Keyword(s):  
Decision Making ◽  
Clinical Assessment ◽  
Assessment Process ◽  
Evidence Based ◽  
The Past ◽  
Specific Assessment ◽  
The Many ◽  
Selection Of ◽  
Made In

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.

A Big Thank You to our Reviewers in the Past Year!

2021 ◽  
Vol 42 (02) ◽  
pp. 191-195
Keyword(s):  
Decision Making ◽  
Peer Review ◽  
Decision Making Process ◽  
The Past

Good reviewers are essential to the success of any journal and peer review is a major pillar of science. We are grateful to those mentioned below to have dedicated their time and expertise to help our authors improve and refine their manuscripts and support the Editor(s) in the decision making process in the past year.

Artificial Intelligence and Human Rights: Four Realms of Discussion: Summary of Remarks

2020 ◽  
Vol 114 ◽  
pp. 242-245
Author(s):  
Jootaek Lee
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Deep Learning ◽  
Language Processing ◽  
Human Reasoning ◽  
The Past ◽  
Making Choices ◽  
Data Capturing ◽  
Intensive Procedures

The term, Artificial Intelligence (AI), has changed since it was first coined by John MacCarthy in 1956. AI, believed to have been created with Kurt Gödel's unprovable computational statements in 1931, is now called deep learning or machine learning. AI is defined as a computer machine with the ability to make predictions about the future and solve complex tasks, using algorithms. The AI algorithms are enhanced and become effective with big data capturing the present and the past while still necessarily reflecting human biases into models and equations. AI is also capable of making choices like humans, mirroring human reasoning. AI can help robots to efficiently repeat the same labor intensive procedures in factories and can analyze historic and present data efficiently through deep learning, natural language processing, and anomaly detection. Thus, AI covers a spectrum of augmented intelligence relating to prediction, autonomous intelligence relating to decision making, automated intelligence for labor robots, and assisted intelligence for data analysis.

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