14 research outputs found

    Developing the Questionnaire

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    AbstractThis chapter outlines the essential topics for developing and testing a questionnaire for a discrete choice experiment survey. It addresses issues such as the description of the environmental good, pretesting of the survey, incentive compatibility, consequentiality or mitigation of hypothetical bias. For the latter, cheap talk scripts, opt-out reminders or an oath script are discussed. Moreover, the use of instructional choice sets, the identification of protest responses and strategic bidders are considered. Finally, issues related to the payment vehicle and the cost vector design are the subject of this section

    We may not know much about the deep sea, but do we care about mining it?

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    1. The way we value the environment affects how we treat it. While public awareness of human impacts on the ocean is increasing, industrial activities in the deep sea are accelerating rapidly and out of sight. 2. The underlying values we hold for the environment were increasingly recognised as an important factor in environmental decision-making, and it was thus important to evaluate public values towards deep-sea environments. 3. Here, we explored people's care for the deep sea and related this to the perceived risks of seafloor mining by comparing the deep sea to three other remote environments: Antarctica, remote terrestrial environments and the Moon. 4. We conducted an online survey to investigate symbolic values, which we define as the emotions, moods and meanings an environment evokes, as an element affecting people's care for the environment. In addition, we investigated the respondent's knowledge, worldviews and the perceived environmental and societal risk of mining in these four environments. 5. We found that symbolic values shape people's environmental care and that the overall symbolic value attributed to each of the environments differs. 6. People perceived it likely that mining will take place in the deep sea, and the majority of respondents (81%) stated to care a lot or very much about human activities harming the deep sea. 7. In comparison to the other remote environments, in a general sense people cared less about the deep sea, and their self-assessed knowledge of the deep sea was lower. 8. These results suggest that it was fundamental to account for the underlying values and emotions towards the environment when evaluating the risks of human activities in remote settings. 9. Our results further highlighted the need to improve public understanding and connection with the deep sea and its role within wider society to engender deep-sea stewardship.Peer reviewe

    Advancing Aquatic Ecosystem-Based Management with Full Consideration of the Social-Ecological System

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    In this study we present an integrated Ecosystem-Based Management (EBM) approach that attempts to reconcile several concepts including integratedecosystem assessment (IEA), marine spatial planning, resilience thinking, and complex adaptive systems. The approach builds on the IEA process but enhances it by explicitly considering the full social-ecological system (SES) and the creation of ageneric framework for assessment of ecosystem status and management strategyevaluation

    Informing caregivers through an assistive tool: an investigation of elderly care metrics

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    Abstract Elderly care is a pressing societal challenge: government’s financial burden is expected to exponentially increase in the next 20 years as the population is aging rapidly. Solutions to mitigate this challenge include the use of IoT and software solutions to minimise the effort of elderly care, in care centres and at home. To accomplish this, we set to quantify what are the most important elderly care metrics (i.e., what is important to support caregivers’ work) through field observations and interviews at a local care centre housing 14 old adults. We designed iteratively and evaluated the usefulness of a mobile application with 8 caregivers, to summarise and communicate the care metrics, juxtaposed with wellbeing data (e.g., social interaction, mobility and others), part of a larger elderly care support platform, CARE. The goal of the mobile application is to enable a better care service by raising awareness to daily needs and routines of the elderly and to provide quick access to their wellbeing information. Our findings advocate that our design could positively benefit the care personnel and assist them carrying out the daily duties at the care centre

    We may not know much about the deep sea, but do we care about mining it?

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