24,870 research outputs found

    Post-pandemic office work: Perceived challenges and opportunities for a sustainable work environment

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    The widespread adoption of remote and hybrid work due to COVID-19 calls for studies that explore the ramifications of these scenarios for office workers from an occupational health and wellbeing perspective. This paper aims to identify the needs and challenges in remote and hybrid work and the potential for a sustainable future work environment. Data collection involved two qualitative studies with a total of 53 participants, who represented employees, staff managers, and service/facility providers at three Swedish public service organisations (primarily healthcare and infrastructure administration). The results describe opportunities and challenges with the adoption of remote and hybrid work from individual, group, and leadership perspectives. The main benefits of remote work were increased flexibility, autonomy, work-life balance and individual performance, while major challenges were social aspects such as lost comradery and isolation. Hybrid work was perceived to provide the best of both worlds of remote and office work, given that employees and managers develop new skills and competencies to adjust to new ways of working. To achieve the expected individual and organisational benefits of hybrid work, employers are expected to provide support and flexibility and re-design the physical and digital workplaces to fit the new and diverse needs of employees

    Preparing for the Future: An Analysis of Norwegian Customs Intelligence Workers’ Perspectives on Intelligence

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    This study delved into the relationship between risk management and the intelligence operation within the Norwegian Customs, the role of intelligence in border controls, and explores perceptions of intelligence workers within Norwegian Customs concerning the future of intelligence practices. The purpose of the thesis is to examine how intelligence professionals in the Norwegian Customs work and envision intelligence gathering and analysis to develop further and what resources and strategies they believe will be necessary to effectively meet challenges in the future. Firstly, the problems are explained based on background information such as a presentation of the Norwegian Customs Agency, intelligence, the current risk and threat picture in our society, and hybrid threats. Furthermore, theoretical frameworks linked to intelligence and the concepts of risk, characteristics of national security are presented, and various figures such as the intelligence cycle, risk management approach, and the compliance pyramid are included. This study is based on a qualitative method, and to answer the research questions the data was obtained through 5 semi-structured interviews with experts within the intelligence environment in the Customs Agency. After completion, the interviews were transcribed, and thematic analysis was chosen as the method of analysis to interpret the data. Findings in this study reinforce that, as traditionally, risk management and intelligence are separate domains in the Customs Agency. Intelligence workers in the Norwegian Customs characterise the role of intelligence as a help to customs officers to choose the proper objects and goods in controls, as the importance lies in the intelligence’s ability to offer full insight perspectives that go beyond the raw data or other forms of information alone. As the processes to collect, process, and analyse intelligence are strictly confidential, this thesis does not provide any insight into how this takes place in practice. The future perceptions from the experts touch areas such as national security, intelligence work in the future, key characteristics expected from future intelligence workers, collaboration, access to resources, movement of goods, digitalisation, development and technological tools, and the intelligence cycle

    ECHO Information sharing models

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    As part of the ECHO project, the Early Warning System (EWS) is one of four technologies under development. The E-EWS will provide the capability to share information to provide up to date information to all constituents involved in the E-EWS. The development of the E-EWS will be rooted in a comprehensive review of information sharing and trust models from within the cyber domain as well as models from other domains

    Planning robust policing futures: modelling using multimethodology

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    Purpose – The resourcing of policing activity is characterised by a level of complexity, particularly where evaluating alternative policy options is concerned. In this paper, a case study using multimethodological modelling to compare alternative policy choice in a group context is outlined with respect to response-patrol officer (RPO) deployment within a UK police force. The paper aims to discuss these issues. Design/methodology/approach – The application of a three phase modelling process is illustrated where scenario planning is used to generate the scope of the system elements to be modelled. This is followed by causal mapping to identify the barriers to improving officer resourcing, and system dynamics modelling is used to simulate the impacts of a range of policy options within this policing function. A group model building approach was applied throughout the modelling phases with anexpert group to negotiate a shared view of the structure and dynamics of the resourcing policy challenges. Findings – A fully validated system dynamics model emerged from the multi-phase modelling process which allowed a series of alternative future policy scenarios to be explored and evaluated. Useful policy insights were generated by the system dynamics simulation model which suggested more efficient rules for resource allocation in the police force’s RPO function. Originality/value – The insights from this case study demonstrates that multi-phase modelling has potential application in policy exploration across a range of emergency service providers whoseactions are governed by both variable demand and constrained supply of resourc

    Road2CPS priorities and recommendations for research and innovation in cyber-physical systems

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    This document summarises the findings of the Road2CPS project, co-financed by the European Commission under the H2020 Research and Innovation Programme, to develop a roadmap and recommendations for strategic action required for future deployment of Cyber-Physical Systems (CPS). The term Cyber-Physical System describes hardware-software systems, which tightly couple the physical world and the virtual world. They are established from networked embedded systems that are connected with the outside world through sensors and actuators and have the capability to collaborate, adapt, and evolve. In the ARTEMIS Strategic Research Agenda 2016, CPS are described as ‘Embedded Intelligent ICT Systems’ that make products smarter, more interconnected, interdependent, collaborative, and autonomous. In the future world of CPS, a huge number of devices connected to the physical world will be able to exchange data with each other, access web services, and interact with people. Moreover, information systems will sense, monitor and even control the physical world via Cyber-Physical Systems and the Internet of Things (HiPEAC Vision 2015). Cyber-Physical Systems find their application in many highly relevant areas to our society: multi-modal transport, health, smart factories, smart grids and smart cities amongst others. The deployment of Cyber-Physical Systems (CPS) is expected to increase substantially over the next decades, holding great potential for novel applications and innovative product development. Digital technologies have already pervaded day-to-day life massively, affecting all kinds of interactions between humans and their environment. However, the inherent complexity of CPSs, as well as the need to meet optimised performance and comply with essential requirements like safety, privacy, security, raises many questions that are currently being explored by the research community. Road2CPS aims at accelerating uptake and implementation of these efforts. The Road2CPS project identifying and analysing the relevant technology fields and related research priorities to fuel the development of trustworthy CPS, as well as the specific technologies, needs and barriers for a successful implementation in different application domains and to derive recommendations for strategic action. The document at hand was established through an interactive, community-based approach, involving over 300 experts from academia, industry and policy making through a series of workshops and consultations. Visions and priorities of recently produced roadmaps in the area of CPS, IoT (Internet of Things), SoS (System-of-Systems) and FoF (Factories of the Future) were discussed, complemented by sharing views and perspectives on CPS implementation in application domains, evolving multi-sided eco-systems as well as business and policy related barriers, enablers and success factors. From the workshops and accompanying activities recommendations for future research and innovation activities were derived and topics and timelines for their implementation proposed. Amongst the technological topics, and related future research priorities ‘integration, interoperability, standards’ ranged highest in all workshops. The topic is connected to digital platforms and reference architectures, which have already become a key priority theme for the EC and their Digitisation Strategy as well as the work on the right standards to help successful implementation of CPSs. Other themes of very high technology/research relevance revealed to be ‘modelling and simulation’, ‘safety and dependability’, ‘security and privacy’, ‘big data and real-time analysis’, ‘ubiquitous autonomy and forecasting’ as well as ‘HMI/human machine awareness’. Next to this, themes emerged including ‘decision making and support’, ‘CPS engineering (requirements, design)’, ‘CPS life-cycle management’, ‘System-of-Systems’, ‘distributed management’, ‘cognitive CPS’, ‘emergence, complexity, adaptability and flexibility’ and work on the foundations of CPS and ‘cross-disciplinary research/CPS Science’

    Final report of work-with-IT: the JISC study into evolution of working practices

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    Technology is increasingly being used to underpin business processes across teaching and learning, research, knowledge exchange and business support activities in both HE and FE. The introduction of technology has a significant impact on the working practices of staff, often requiring them to work in a radically different way. Change in any situation can be unsettling and problematic and, where not effectively managed, can lead to poor service or functionality and disenfranchised staff. These issues can have a direct impact on institutional effectiveness, reputation and the resulting student experience. The Work-with-IT project, based at the University of Strathclyde, sought to examine changes to working practices across HE and FE, the impact on staff roles and relationships and the new skills sets that are required to meet these changes

    The future of Cybersecurity in Italy: Strategic focus area

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    This volume has been created as a continuation of the previous one, with the aim of outlining a set of focus areas and actions that the Italian Nation research community considers essential. The book touches many aspects of cyber security, ranging from the definition of the infrastructure and controls needed to organize cyberdefence to the actions and technologies to be developed to be better protected, from the identification of the main technologies to be defended to the proposal of a set of horizontal actions for training, awareness raising, and risk management

    CEPS Task Force on Artificial Intelligence and Cybersecurity Technology, Governance and Policy Challenges Task Force Evaluation of the HLEG Trustworthy AI Assessment List (Pilot Version). CEPS Task Force Report 22 January 2020

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    The Centre for European Policy Studies launched a Task Force on Artificial Intelligence (AI) and Cybersecurity in September 2019. The goal of this Task Force is to bring attention to the market, technical, ethical and governance challenges posed by the intersection of AI and cybersecurity, focusing both on AI for cybersecurity but also cybersecurity for AI. The Task Force is multi-stakeholder by design and composed of academics, industry players from various sectors, policymakers and civil society. The Task Force is currently discussing issues such as the state and evolution of the application of AI in cybersecurity and cybersecurity for AI; the debate on the role that AI could play in the dynamics between cyber attackers and defenders; the increasing need for sharing information on threats and how to deal with the vulnerabilities of AI-enabled systems; options for policy experimentation; and possible EU policy measures to ease the adoption of AI in cybersecurity in Europe. As part of such activities, this report aims at assessing the High-Level Expert Group (HLEG) on AI Ethics Guidelines for Trustworthy AI, presented on April 8, 2019. In particular, this report analyses and makes suggestions on the Trustworthy AI Assessment List (Pilot version), a non-exhaustive list aimed at helping the public and the private sector in operationalising Trustworthy AI. The list is composed of 131 items that are supposed to guide AI designers and developers throughout the process of design, development, and deployment of AI, although not intended as guidance to ensure compliance with the applicable laws. The list is in its piloting phase and is currently undergoing a revision that will be finalised in early 2020. This report would like to contribute to this revision by addressing in particular the interplay between AI and cybersecurity. This evaluation has been made according to specific criteria: whether and how the items of the Assessment List refer to existing legislation (e.g. GDPR, EU Charter of Fundamental Rights); whether they refer to moral principles (but not laws); whether they consider that AI attacks are fundamentally different from traditional cyberattacks; whether they are compatible with different risk levels; whether they are flexible enough in terms of clear/easy measurement, implementation by AI developers and SMEs; and overall, whether they are likely to create obstacles for the industry. The HLEG is a diverse group, with more than 50 members representing different stakeholders, such as think tanks, academia, EU Agencies, civil society, and industry, who were given the difficult task of producing a simple checklist for a complex issue. The public engagement exercise looks successful overall in that more than 450 stakeholders have signed in and are contributing to the process. The next sections of this report present the items listed by the HLEG followed by the analysis and suggestions raised by the Task Force (see list of the members of the Task Force in Annex 1)
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