1,974 research outputs found
An adaptable system to support provenance management for the public policy-making process in smart cities
© 2018 by the authors. Government policies aim to address public issues and problems and therefore play a pivotal role in peopleâs lives. The creation of public policies, however, is complex given the perspective of large and diverse stakeholdersâ involvement, considerable human participation, lengthy processes, complex task specification and the non-deterministic nature of the process. The inherent complexities of the policy process impart challenges for designing a computing system that assists in supporting and automating the business process pertaining to policy setup, which also raises concerns for setting up a tracking service in the policy-making environment. A tracking service informs how decisions have been taken during policy creation and can provide useful and intrinsic information regarding the policy process. At present, there exists no computing system that assists in tracking the complete process that has been employed for policy creation. To design such a system, it is important to consider the policy environment challenges; for this a novel network and goal based approach has been framed and is covered in detail in this paper. Furthermore, smart governance objectives that include stakeholdersâ participation and citizensâ involvement have been considered. Thus, the proposed approach has been devised by considering smart governance principles and the knowledge environment of policy making where tasks are largely dependent on policy makersâ decisions and on individual policy objectives. Our approach reckons the human dimension for deciding and defining autonomous process activities at run time. Furthermore, with the network-based approach, so-called provenance data tracking is employed which enables the capture of policy process
Diverse perceptions of smart spaces
This is the era of smart technology and of âsmartâ as a meme, so we have run three workshops to examine the âsmartâ meme and the exploitation of smart environments. The literature relating to smart spaces focuses primarily on technologies and their capabilities. Our three workshops demonstrated that we require a stronger user focus if we are advantageously to exploit spaces ascribed as smart: we examined the concept of smartness from a variety of perspectives, in collaboration with a broad range of contributors. We have prepared this monograph mainly to report on the third workshop, held at Bournemouth University in April 2012, but do also consider the lessons learned from all three. We conclude with a roadmap for a fourth (and final) workshop, which is intended to emphasise the overarching importance of the humans using the spac
A generic provenance framework to document public policy making processes
Public policies impact the day to day activities of individuals. Effective public policy outcomes result in general acceptance among the community. The transparency in policy making process and participation during policy creation holds significant positions for developing trust among the community. Established domains such as e-health employs provenance for creating transparency and trust among the researchers. Public policy making can also use provenance to develop trust and transparency in their processes. At present, however, public policy makers employ various means to manage public policy making. Having no unified platform for the policy making process presents challenges in respect of searching and locating the evidence that was used during policy creation and for ensuring trust and transparency among actors. The absence of such a support also presents challenges for participation in public policy making. To address the given challenges, this research presents the provenance framework that manages the public policy making provenance data and enable participation of diverse actors.Due to dynamicity attached to public policy making, a provenance framework needs to be adaptable. Therefore, a model-driven approach has been used to frame the public policy making provenance framework. In addition to a model-driven approach, a mechanism is required that can enable the capture of public policy processes. However, the knowledge-intensive dynamics of public policy making presents challenges for using process-based solutions. Therefore, this research work describes a process-agnostic approach inspired from a network-based packet switching approach for tracking policy making processes. Managing public policy provenance data is not the only facet that develops trust. What is required is the facilitation of citizens and non-government bodies in the policy creation process. Therefore, a provenance framework has been designed by considering the principles of smart governance which results in a smart cities solution. In order to evaluate the framework, a proof-of-concept has been designed and implemented. An evaluation has been carried out to determine the suitability of a model-driven and a process-agnostic approach for policy making provenance framework in smart cities. For the evaluation purposes, three public policy making case studies Shops Opening Hoursâ Resolution, Air Quality Monitoring, and Neighbourhood Planning were employed. The three case studies were used to derive various experiments to test the provenance framework. The experiments captured the dynamic and knowledge-intensive aspects of the provenance framework. The results collected from the execution of the experiments demonstrated the aptness of a process-agnostic approach and model-driven approach for the policy making provenance framework. Lastly, an end user evaluation was carried out to assess the effectiveness of the provenance framework. The positive responses of end users showed the usefulness of the provenance framework
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City approaches to smart city evaluation and reporting: case studies in the United Kingdom
Smart technologies create opportunities for urban development and regeneration, leading to a proliferation of projects/programmes designed to address city strategies around environmental, economic and social challenges. Whilst there is considerable critical debate on the merits of smart city developments, there has been surprisingly little research on the evaluation of smart interventions, and the outcomes of embedded smart technologies for cities and citizens. This examines case-study research undertaken in Birmingham, Bristol, Manchester, Milton Keynes and Peterborough, on city approaches to smart city evaluation and reporting. Findings exemplify contemporary city evaluation and reporting practices, challenges, and recommendations to support smart urban development
Sustainable Development Report: Blockchain, the Web3 & the SDGs
This is an output paper of the applied research that was conducted between July 2018 - October 2019 funded by the Austrian Development Agency (ADA) and conducted by the Research Institute for Cryptoeconomics at the Vienna University of Economics and Business and RCE Vienna (Regional Centre of Expertise on Education for Sustainable Development).Series: Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Researc
Sustainable Development Report: Blockchain, the Web3 & the SDGs
This is an output paper of the applied research that was conducted between July 2018 - October 2019 funded by the Austrian Development Agency (ADA) and conducted by the Research Institute for Cryptoeconomics at the Vienna University of Economics and Business and RCE Vienna (Regional Centre of Expertise on Education for Sustainable Development).Series: Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Researc
Blockchain in Agriculture: A PESTELS Analysis JAVIER
Blockchain (BC) represents a disruptive technology that has been extensively used to ensure
immutability of digital transactions. Starting as an underlying mechanism in the digital currency sector,
it has been applicable in a wide range of sectors and application domains. Agriculture represents a sector
of significance for overall sustainability challenges that is benefiting from digitalisation and technological
evolution and the enforcement of Industry 4.0 paradigm shift towards precision agriculture. Introduction of
Internet of Things, and Cyber-Physical Systems increase overall complexity, with Big Data analysis and
Machine Learning technologies paving the way for innovative applications. BC appears to be a promising
technology for agriculture introducing new mechanisms for tracing of products and overall agricultural
Supply Chain management from the farm to the fork. The authors perform a review of 152 scientific works,
providing a concise summary for each and extracting current challenges and open issues for the application of
BC in agriculture. By synthesizing their findings, they perform a state of the art analysis along the PESTELS
framework. A large number of challenges including technological ones, create big research potential for the
evolution of the area.SUSTAINABLE Project, funded by the European Unionâs Horizon 2020 Research and Innovation
Program, through the Marie SkĆodowska-Curie-Research and Innovation Staff Exchange (RISE) under Grant 10100770
Cybersecurity issues in software architectures for innovative services
The recent advances in data center development have been at the basis of the widespread
success of the cloud computing paradigm, which is at the basis of models for software based applications and services, which is the "Everything as a Service" (XaaS) model. According to the XaaS model, service of any kind are deployed on demand
as cloud based applications, with a great degree of flexibility and a limited need for investments in dedicated hardware and or software components. This approach opens up a lot of opportunities, for instance providing access to complex and widely
distributed applications, whose cost and complexity represented in the past a significant entry barrier, also to small or emerging businesses. Unfortunately, networking is now embedded in every service and application, raising several cybersecurity issues related to corruption and leakage of data, unauthorized access, etc. However, new service-oriented architectures are emerging in this context, the so-called services enabler architecture. The aim of these architectures is not only to expose and give the resources to these types of services, but it is also to validate them. The validation includes numerous aspects, from the legal to the infrastructural ones e.g., but above all the cybersecurity threats. A solid threat analysis of the aforementioned architecture is therefore necessary, and this is the main goal of this thesis. This work investigate the security threats of the emerging service enabler architectures, providing proof of concepts for these issues and the solutions too, based on several use-cases implemented in real world scenarios
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