CoPe EAGER: Collaborative Research: COMET: the Coastlines and people Open data and MachinE learning sprinT

及时发布研究结果对于促进对气候变化和海平面上升对海岸线和居住在那里的社区的影响的理解非常重要。不断增长的开放、免费获取的数据和分析工具（即代码）库使科学家能够在海岸线和人的交叉点调查一系列社会相关问题。该项目试点了一种孵化器方法，以催化数据驱动的研究，并创建准备解决海岸复杂问题的研究人员网络。该项目以其他“科学冲刺”为模型，在这些冲刺中，研究人员团队聚集在一起，在短而固定的时间窗口内将一个想法转化为开放、免费获取的研究产品——从而加速科学进步。该项目将从三个方面推动科学发展：1)利用数据驱动的方法建立科学家群体，解决沿海地区的跨学科问题；2)每场活动的科学家将创建开放的工具、代码、可交付成果和数据产品，创造可免费获得的方法和知识；3)多个事件和事件之间的迭代将能够评估冲刺方法，以及它在海岸线和人的交叉点上产生科学的成功。这三个冲刺活动的重点是使用开放数据和机器学习进行快速周转研究，并将利用data.gov和其他FAIR（可查找、可访问、可互操作、可重用）来源提供的大量数据。目标是快速产生结果和交付物。将为这三个计划中的活动征求科学界的申请，并且将优先选择代表不同领域和观点的群组。每个活动都将遵守行为准则，该准则还将包括对sprint中生成的代码、数据和报告的“默认开放”声明。在每次活动中，参与者将分成小组，花72小时在选定的项目上工作。小组将在每次活动结束时生成口头和书面报告，以及相关的开源代码。每个事件的结果将通过调查（事件前和事件后）来衡量，并通过使用与每个事件的开放可交付成果相关的数字对象标识符来衡量。参与者使用的数据集也将被收集和整理在一个公开的网站上，作为相关开放数据的众包列表。三项短跑比赛将在北卡罗来纳州和科罗拉多州举行。一系列外部合作者将与参与者互动并建立网络。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Timely release of research results is important to advance understanding of the impacts of climate change and sea level rise on coastlines and the communities that live there. The growing library of open, freely accessible data and analysis tools (i.e., code) enables scientists to investigate a range of societally relevant questions at the intersection of Coastlines and People. This project pilots an incubator approach to catalyzing data-driven research and creating networks of researchers ready to tackle the complex problems of the coast. The program is modeled on other 'science sprints', where teams of researchers assemble to transform an idea into open, freely accessible research products within a short, fixed time window - thereby accelerating scientific advances. This project will advance science in three ways: 1) By creating cohorts of scientists using data-driven approaches to address the interdisciplinary problems along the coast; 2) Scientists at each event will create open tools, code, deliverables and data products, creating freely available methods and knowledge; 3) Multiple events and iteration between events will enable evaluation of the sprint approach, and its success in producing science at the intersection of Coastlines and People.The three sprint events are focused on quick turn-around research using open data and machine learning, and will take advantage of the vast data volumes available through data.gov and other FAIR (Findable, Accessible, Interoperable, Re-usable) sources. The objective is to produce results and deliverables rapidly. Applications from the scientific community will be solicited for each of the three planned events, and selection of cohorts will prioritize having representation of a diverse set of fields and perspectives. Each event will adhere to a Code of Conduct that will additionally include an 'open by default' statement for code, data, and reports generated at the sprint. At each event, participants will break into small groups to spend 72 hours working on selected projects. Groups will produce oral and written reports, as well as associated open source code at the end of each event. Outcomes from each event will be measured using surveys (pre- and post- event), and by following the use of digital object identifiers associated with the open deliverables from each event. Datasets used by the participants will also be collected and curated on a publicly available website as a crowd-sourced list of relevant open data. The three sprint events will take place in North Carolina and Colorado. A range of external collaborators will interact and network with participants.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.