404,052 research outputs found

    Collaborative Learning And Land Use Tools To Support Community Based Ecosystem Management: A Final Report Submitted To The NOAA/UNH Cooperative Institute For Coastal And Estuarine Environmental Technology (CICEET)

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    This project developed a model conservation plan for local land use decision making that engaged diverse stakeholders in discussions about conservation values, ecosystem services and strategies to balance conservation and economic development. This locally focused action research case study tested the application of ecosystem based management (EBM), Collaborative Learning and land use technology tools to land use planning. Lessons learned were scaled up to create capacity building training for land use decision makers and coastal managers to increase interdisciplinary skills for implementing ecosystem based management. Collaborative Learning and EBM Tools were tested and evaluated for their contribution to implementing EBM in the context of local land use. EBM is a holistic approach to managing coupled ecological and social systems that incorporates the knowledge and perspectives of diverse stakeholders into a shared vision of desired future outcomes (Meffee, et al 2002). The long term goal of EBM is to sustain the provision of valued goods and services provided by ecological systems (MacLeod and Leslie, 2009). Community based ecosystem management (CBEM) shares the principles and theoretical foundation of EBM with an added focus on actions that make the places where people live, work and play noticeable better today and in the future (Meffe et al., 2002). The place-based focus of CBEM combined with the stakeholder engagement practices of Collaborative Learning provided an adaptable and practical framework for development of Headwaters – A Collaborative Conservation Plan for Sanford, Maine

    IEEE Access Special Section Editorial: Big Data Technology and Applications in Intelligent Transportation

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    During the last few years, information technology and transportation industries, along with automotive manufacturers and academia, are focusing on leveraging intelligent transportation systems (ITS) to improve services related to driver experience, connected cars, Internet data plans for vehicles, traffic infrastructure, urban transportation systems, traffic collaborative management, road traffic accidents analysis, road traffic flow prediction, public transportation service plan, personal travel route plans, and the development of an effective ecosystem for vehicles, drivers, traffic controllers, city planners, and transportation applications. Moreover, the emerging technologies of the Internet of Things (IoT) and cloud computing have provided unprecedented opportunities for the development and realization of innovative intelligent transportation systems where sensors and mobile devices can gather information and cloud computing, allowing knowledge discovery, information sharing, and supported decision making. However, the development of such data-driven ITS requires the integration, processing, and analysis of plentiful information obtained from millions of vehicles, traffic infrastructures, smartphones, and other collaborative systems like weather stations and road safety and early warning systems. The huge amount of data generated by ITS devices is only of value if utilized in data analytics for decision-making such as accident prevention and detection, controlling road risks, reducing traffic carbon emissions, and other applications which bring big data analytics into the picture

    Informing investment priorities of the Climate Services Partnership

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    Climate change causes a great deal of uncertainty for farmers, as weather patterns become more unpredictable and extreme. Climate services, such as climate information and advisories, can help farmers manage climate risks and better adapt to changing circumstances. The Climate Services Partnership (CSP), launched in 2011, is a collaborative platform focused on knowledge sharing and network building, with the goal of promoting climate resilience and improving the capabilities of climate services at a global scale. CSP aims to engage a diverse network of organizations, researchers and donors, to help climate science guide investment and inform decision-making relating to adaptation and development. CCAFS Theme 2 on Climate Risk Management is a core sponsoring partner of the CSP. In 2012, several CCAFS research and communication efforts contributed to the investment prioritization of the CSP and other key members, leading to an increased emphasis on targeting smallholder farmers

    The implications of ‘jam’ and other ideation technologies for organisational decision making

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    New advances in collaborative technologies, often grouped under the umbrella term ‘web 2.0', are changing the opportunity space for organisational collaboration and decision making. Research and development can now be outsourced to external self-organising communities of scientists, new business models rely wholly on content created by end users and customers are increasingly asked for input to the development of new products and services. The way in which many strategic and operational decisions are made, once the sole prevail of executive management, is being challenged by new forms of knowledge, expertise and opinion from non-management employees, and increasingly, from those outside the organisation such as customers, partners and suppliers. The widespread adoption of web 2.0 technologies and their increasing use in the business context, in other words, is creating an inevitable tension between traditional ‘top-down' strategic decision-making principles and ‘bottom-up', ad hoc and sometimes unstructured collaborative processes. This paper examines recent changes to the innovation process and the advent of so-called 'fifth generation innovation', and discusses the way in which web 2.0 technologies are further evolving these models, highlighting that 'ideation technologies' are an important part of the new breed of so-called innovation technologies. It then explores the particular example of 'jam events', which bring together a targeted group of participants on the web for a time-limited period to respond to a specific challenge, defined by decision-makers, with ideas, opinions and votes in a socially mediated process. The final section introduces the concept of 'co-created strategy', and discusses the factors required for an organisation to build the 'absorptive capacity' needed to truly take advantage of the new knowledge created by ideation technologies

    Architectural Design and Prototyping of Co-PPGIS: A Groupware-Based Online Synchronous Collaborative PPGIS to Support Municipality Development and Planning Management Workflows

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    Co-PPGIS has a wide variety of applications like municipal planning, emergency response, public health and security, etc. The main focus of this chapter is on the development and design of a Web Collaborative PPGIS (Co-PPGIS) infrastructure. As part of municipality’s planning and management services, Co-PPGIS is developed for real-time map sharing application system. Co-PPGIS is an effective and essential online meeting system for supporting group collaborations on geographic information such as maps and imageries, and capturing and sharing of local/domain knowledge in real time. Co-PPGIS permits amalgamation of geospatial data and collaborator’s input in the form of geo-referenced notations. It incorporates coherent components as map sharing, real-time chat, video conferencing, geo-referenced textual and graphical notations. The study aims to focus on public participation and geo-collaboration facilitated with information sharing, interactive geo-conferencing, real-time map, and data sharing with tools to draw features or add annotation to the map while discussions, uploading documents, and live communication. Co-PPGIS provides an efficient and reliable platform that will significantly reduce the time to acquire, process, and analyze data. The significance of this study is to contribute to existing public participation practices, to municipal planning, to decision-making, or to geographic information science

    Collaborative Public Participatory Web Geographic Information System: A Groupware-Based Online Synchronous Collaboration to Support Municipal Planning

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    Co-PPGIS has a wide variety of applications like municipal planning, emergency response, public health and security, etc. The main focus of this paper is on the development and design of a web collaborative PPGIS (Co-PPGIS) infrastructure. As part of municipality’s planning and management services, Co-PPGIS is developed for real-time map sharing application system. Co-PPGIS is an effective and essential online meeting system for supporting group collaborations on geographic information such as maps and imageries and capturing and sharing of local/domain knowledge in real time. Co-PPGIS permits amalgamation of geospatial data and collaborator’s input in the form of geo-referenced notations. It incorporates coherent components such as map sharing, real-time chat, video conferencing, and geo-referenced textual and graphical notations. The study aims to focus on public participation and geo-collaboration facilitated with information sharing, interactive geo-conferencing, real-time map, and data sharing with tools to draw features or add annotation to the map while discussions, uploading documents, and live communication. Co-PPGIS provides an efficient and reliable platform that will significantly reduce the time to acquire, process, and analyze data. The significance of this study is to contribute to existing public participation practices, to municipal planning, to decision-making, or to geographic information science

    Urban management revolution: intelligent management systems for ubiquitous cities

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    A successful urban management support system requires an integrated approach. This integration includes bringing together economic, socio-cultural and urban development with a well orchestrated transparent and open decision making mechanism. The paper emphasises the importance of integrated urban management to better tackle the climate change, and to achieve sustainable urban development and sound urban growth management. This paper introduces recent approaches on urban management systems, such as intelligent urban management systems, that are suitable for ubiquitous cities. The paper discusses the essential role of online collaborative decision making in urban and infrastructure planning, development and management, and advocates transparent, fully democratic and participatory mechanisms for an effective urban management system that is particularly suitable for ubiquitous cities. This paper also sheds light on some of the unclear processes of urban management of ubiquitous cities and online collaborative decision making, and reveals the key benefits of integrated and participatory mechanisms in successfully constructing sustainable ubiquitous cities

    Integration of decision support systems to improve decision support performance

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    Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

    Towards the realisation of an integratated decision support environment for organisational decision making

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    Traditional decision support systems are based on the paradigm of a single decision maker working at a stand‐alone computer or terminal who has a specific decision to make with a specific goal in mind. Organizational decision support systems aim to support decision makers at all levels of an organization (from executive, middle management managers to operators), who have a variety of decisions to make, with different priorities, often in a distributed and dynamic environment. Such systems need to be designed and developed with extra functionality to meet the challenges such as collaborative working. This paper proposes an Integrated Decision Support Environment (IDSE) for organizational decision making. The IDSE distinguishes itself from traditional decision support systems in that it can flexibly configure and re‐configure its functions to support various decision applications. IDSE is an open software platform which allows its users to define their own decision processes and choose their own exiting decision tools to be integrated into the platform. The IDSE is designed and developed based on distributed client/server networking, with a multi‐tier integration framework for consistent information exchange and sharing, seamless process co‐ordination and synchronisation, and quick access to packaged and legacy systems. The prototype of the IDSE demonstrates good performance in agile response to fast changing decision situations

    Characterisation of collaborative decision making processes

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    This paper deals with the collaborative decision making induced or facilitated by Information and Communication Technologies (ICTs) and their impact on decisional systems. After presenting the problematic, we analyse the collaborative decision making and define the concepts related to the conditions and forms of collaborative work. Then, we explain the mechanisms of collaborative decision making with the specifications and general conditions of collaboration using the modelling formalism of the GRAI method. Each specification associated to the reorganisation of the decisional system caused by the collaboration is set to the notion of decision-making centre. Finally, we apply this approach to the e-maintenance field, strongly penetrated by the ICTs, where collaborations are usual. We show that the identified specifications allow improving the definition and the management of collaboration in e-maintenance
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