CyberTraining: Implementation: Medium: Collaborative Research: Computational and Data-Centric Ecology Training

网络培训：实施：媒介：协作研究：计算和以数据为中心的生态培训

• 批准号: 2118305
• 负责人: Naupaka Zimmerman
• 金额: $ 7.95万
• 依托单位: University of San Francisco
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118305&HistoricalAwards=false
• 关键词: CyberTraining; Implementation; Medium; Collaborative; Research

While the scientific community has ever cheaper and more rapid access to large amounts of data with respect to ecology and other issues, the training necessary to take full advantage of these large data streams has not kept up. This project will create an online learning and community platform known as Data4Ecology to support the integration of computing, statistics, and data science into undergraduate ecology curriculum and courses. To do so, this proposal will build a freely accessible website enabling students and others in ecology and allied STEM disciplines to develop the skills in computational and statistical reasoning necessary to address problems related to ecology and data science. This project, Data4Ecology, will develop and deploy a website to curate, assemble and embed open educational and learning resources that will serve as training for a multitude of undergraduate students in ecology and environmental science at various college and universities. In turn, this project will integrate computing, statistics, and data science into an ecology curriculum. The project will build and make accessible collaboration and community resources while providing professional development and disseminating project products. The project will serve the larger scientific community by providing researchers and educators with a dedicated repository of data-centric ecology data, resources, and curriculum. Further, the learning resources from this project will be ported to STATS4STEM, an NSF-funded project that collects educational resources on data, computing, and statistics for use by educators and students at many levels, thus exposing users beyond the project to an expanded pool of ecology-based data-centric learning resources.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.

虽然科学界能够以更低的成本更快地获得大量生态和其他问题的数据，但充分利用这些大数据流所需的培训却没有跟上。该项目将创建一个名为Data 4 Ecology的在线学习和社区平台，以支持将计算、统计和数据科学整合到本科生态学课程和课程中。为此，该提案将建立一个可免费访问的网站，使生态学和相关STEM学科的学生和其他人能够发展解决生态学和数据科学相关问题所需的计算和统计推理技能。这个项目，Data 4 Ecology，将开发和部署一个网站，以策展，组装和嵌入开放的教育和学习资源，将作为培训的生态和环境科学在各个学院和大学的众多本科生。反过来，该项目将把计算、统计和数据科学整合到生态课程中。该项目将建立并提供协作和社区资源，同时提供专业发展和传播项目产品。该项目将为更大的科学界提供服务，为研究人员和教育工作者提供以数据为中心的生态学数据，资源和课程的专用存储库。此外，该项目的学习资源将移植到STATS 4STEM，这是一个由国家科学基金会资助的项目，收集有关数据，计算和统计的教育资源，供各级教育工作者和学生使用，从而使项目之外的用户接触到一个扩大的基于生态的数据库-该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准。