Planning Grant: I/UCRC for Creating a New Research Site of the I/UCR Center for Visual and Decision Informatics

规划拨款：I/UCRC 用于创建 I/UCR 视觉和决策信息学中心的新研究站点

• 批准号: 1362119
• 负责人: Noel Greis
• 金额: $ 1.46万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-15 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1362119&HistoricalAwards=false
• 关键词: Planning; Grant; UCRC; Creating; New

The University of North Carolina at Chapel Hill is proposing to join the I/UCRC for Visual and Decision Informatics as a new research site, bringing together expertise in coastal hazards and data management with visual and data analytics and decision science. A planning grant workshop involving potential industry partners, academic researchers from the existing Center and UNC, NSF, and evaluators will be organized to develop the research and operation plan that defines member activities, describes member benefits and responsibilities, identifies specific industry needs, and designs initial research projects. A large gap exists between rapidly advancing capabilities for predicting coastal hazards and the products made available to decision makers for interpreting the predictions and taking action. Whether used for risk assessment, protection system design, or event forecasting, advanced coastal hazard prediction models are complex, computation intensive, and data intensive. Thus far, both model and product developments have mostly been driven by modeler needs as opposed to end-user needs. As a result, advances in predictive modeling have been slow to translate into products that can help save lives, protect property and enhance coastal sustainability and resiliency. New analytical methods, techniques, and models are needed for both mining the data as well as curating the data for future and as yet unforeseen uses. By joining the existing CVDI I/UCRC, critical research and applications between visual and data informatics and coastal hazards and risk will be posed and addressed. Academic and industry researchers will come together to tackle problems that may only be tractable with a broad and multidisciplinary perspective motivated by industry needs and requires academic expertise, technology, and resources. It is expected that the projects will result in significant leaps forward in understanding and improving risk assessment and management of coastal resources, assets, and people in risk-prone coastal areas, and will motivate business opportunities with startup and spin-off potential. The new understanding, techniques, models, and data strategies that emerge from individual Center projects will help in improving the risk management of coastal resources. Since non-governmental insurers back much of the protection of coastal assets and investors, helping relevant industry sectors find new ways to better understand, manage, and diversify their risks is essential for long-term sustainability and maintenance of coastal resources. These resources will experience increasing pressures in the future, due to demographic, environmental, economic, and natural changes. A well-trained and knowledgeable workforce is thus essential to meet the employment demand for research and applications in the insurance, science services, and related industries. Post-doctoral, graduate and undergraduate students, including women and underrepresented minorities, will participate in Center activities to give them a full perspective on societally relevant research and provide a conduit for skilled people who can enter the commercial workforce with immediate benefit to industry and society.

位于查佩尔山的北卡罗来纳州大学提议加入I/UCRC视觉和决策信息学作为一个新的研究站点，将沿海灾害和数据管理方面的专业知识与视觉和数据分析和决策科学结合起来。将组织一个由潜在的行业合作伙伴、来自现有中心的学术研究人员、美国国家科学基金会（NSF）和评估人员参加的规划资助研讨会，以制定研究和运营计划，该计划将定义成员活动，描述成员的利益和责任，确定特定的行业需求，并设计初始研究项目。快速发展的沿海灾害预测能力与决策者可用于解释预测和采取行动的产品之间存在很大差距。无论是用于风险评估、防护系统设计还是事件预测，先进的海岸灾害预测模型都是复杂的、计算密集型的和数据密集型的。到目前为止，模型和产品的开发主要是由建模者的需求驱动的，而不是最终用户的需求。因此，预测建模的进步在转化为有助于拯救生命、保护财产和增强沿海可持续性和弹性的产品方面进展缓慢。需要新的分析方法、技术和模型来挖掘数据，并为未来和尚未预见的用途管理数据。通过加入现有的CVDI I/UCRC，视觉和数据信息学与沿海灾害和风险之间的关键研究和应用将被提出和解决。学术和行业研究人员将聚集在一起，解决可能只有在行业需求推动下才能以广泛和多学科的视角处理的问题，并需要学术专业知识，技术和资源。预计这些项目将在理解和改善沿海资源、资产和沿海风险易发地区人民的风险评估和管理方面取得重大进展，并将激发具有创业和分拆潜力的商业机会。从中心的各个项目中产生的新的理解、技术、模型和数据策略将有助于改善沿海资源的风险管理。由于非政府保险公司支持对沿海资产和投资者的大部分保护，因此帮助相关行业部门找到更好地理解、管理和分散风险的新方法对于沿海资源的长期可持续性和维护至关重要。由于人口、环境、经济和自然变化，这些资源在未来将面临越来越大的压力。因此，训练有素和知识渊博的劳动力是必不可少的，以满足在保险，科学服务和相关行业的研究和应用的就业需求。博士后，研究生和本科生，包括妇女和代表性不足的少数民族，将参加中心的活动，让他们对社会相关的研究有一个全面的视角，并为技术人员谁可以进入商业劳动力提供一个渠道，直接受益于行业和社会。