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Senior Fellowship in the Role of Digital Technology in Understanding, Mitigating and Adapting to Environmental Change

数字技术在理解、缓解和适应环境变化中的作用高级研究员

基本信息

批准号：
EP/P002285/1
负责人：
Gordon Blair
金额：
$ 322.44万
依托单位：
Lancaster University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FP002285%2F1
关键词：
Senior Fellowship Role Digital Technology

项目摘要

Digital technologies have a crucial role to play in helping scientists and other key stakeholders to more deeply understand the natural environment and its complex web of interconnected ecosystems. This deeper understanding also supports the development of more grounded mitigation and adaptation strategies in response to environmental change. This fellowship will enable myself to establish a rich, cross-disciplinary research programme at Lancaster with the goal of carrying out world leading research in the role of digital technologies in deriving such strategies. The research programme is built on three key pillars:Digital innovation as an enabler. Technology is having a profound impact on the digital economy and many areas of society, but its role in managing environmental change is significantly under-developed. This programme will focus on three major (and complementary) areas of digital innovation, namely the Internet of Things (IoT), cloud computing and data science: IoT has the potential to provide rich, real-time data about many facets of the natural environment at a scale previously unimaginable; cloud computing offers elastic storage and computational capacity to bring together diverse data-sets from different geographical locations and at different scales and open this up to a range of stakeholders; data science provides an abundance of analysis techniques to then make sense of the data and hence to inform mitigation strategies and associated policies.Science as a conduit. Science has a crucial role in interpreting big data but, crucially, to achieve this, science must change. The programme will investigate how technology can support a paradigm shift in science towards an approach that: i) is more intrinsically open and collaborative through a philosophy of open data, as enabled by the cloud (e.g. including support for citizen science); ii) represents a more integrative, holistic science whereby different scientific disciplines work together, alongside social, data and computer scientists, to facilitate deeper and more meaningful data-driven understanding of ecosystems and their intrinsic complexities (again supported by cloud computing); iii) embraces complex systems thinking taking input from research on ecosystem services, complexity science and systems of systems approaches; iv) recognises the importance of uncertainty and seek technological solutions that help manage uncertainty in all its dimensions and support decision making in an uncertain and complex world.Impact as intrinsic. One major success of the Digital Economy programme was to develop a research community and set of approaches that emphasised stakeholder engagement and impact on society. This programme builds on this experience and adopts an experimental, agile and iterative methodology involving a close collaboration with a wide range of partners/stakeholders. This inherently participative approach is carefully designed to enable insights and breakthroughs in mitigation and adaptation strategies related to water/food/energy security, national infrastructure and biodiversity loss.

数字技术在帮助科学家和其他关键利益相关者更深入地了解自然环境及其相互关联的生态系统的复杂网络方面发挥着至关重要的作用。这种更深入的了解也有助于制定更有根据的缓解和适应战略，以应对环境变化。这项奖学金将使我能够在兰开斯特大学建立一个丰富的跨学科研究项目，目标是在数字技术在制定此类战略中的作用方面开展世界领先的研究。该研究计划建立在三个关键支柱上：作为推动者的数字创新。技术正在对数字经济和社会的许多领域产生深远的影响，但其在管理环境变化方面的作用还远远不够。该计划将重点关注数字创新的三个主要（和互补）领域，即物联网（IoT）、云计算和数据科学：物联网有潜力以以前难以想象的规模提供有关自然环境许多方面的丰富实时数据；云计算提供弹性存储和计算能力，将来自不同地理位置和不同规模的各种数据集汇集在一起，并向一系列利益相关者开放；数据科学提供了丰富的分析技术，可以理解数据，从而为缓解战略和相关政策提供信息。科学是一个管道。科学在解释大数据方面发挥着至关重要的作用，但至关重要的是，要做到这一点，科学必须改变。该计划将研究技术如何支持科学的范式转变，使其朝着以下方向发展：i)通过云计算实现的开放数据哲学，在本质上更加开放和协作（例如，包括对公民科学的支持）；Ii)代表一种更综合、更全面的科学，不同的科学学科与社会、数据和计算机科学家一起合作，促进对生态系统及其内在复杂性更深入、更有意义的数据驱动理解（再次得到云计算的支持）；Iii)包含复杂系统思维，从生态系统服务、复杂性科学和系统方法的系统研究中获取输入；Iv)认识到不确定性的重要性，并寻求技术解决方案，帮助管理不确定性的所有维度，并支持在不确定和复杂的世界中的决策。影响是内在的。数字经济项目的一个主要成功之处在于发展了一个研究社区和一套强调利益相关者参与和对社会影响的方法。该方案以这一经验为基础，采用实验性、敏捷和迭代的方法，与广泛的合作伙伴/利益相关者密切合作。这种固有的参与性方法经过精心设计，使人们能够在与水/粮食/能源安全、国家基础设施和生物多样性丧失有关的缓解和适应战略方面取得见解和突破。