SI2-SSI: Advancing and Mobilizing Citizen Science Data through an Integrated Sustainable Cyber-Infrastructure
SI2-SSI:通过集成的可持续网络基础设施推进和动员公民科学数据
基本信息
- 批准号:1550463
- 负责人:
- 金额:$ 100万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-11-01 至 2021-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Citizen science engages members of the public in science. It advances the progress of science by involving more people and embracing new ideas. Recent projects use software and apps to do science more efficiently. However, existing citizen science software and databases are ad hoc, non-interoperable, non-standardized, and isolated, resulting in data and software siloes that hamper scientific advancement. This project will develop new software and integrate existing software, apps, and data for citizen science - allowing expanded discovery, appraisal, exploration, visualization, analysis, and reuse of software and data. Over the three phases, the software of two platforms, CitSci.org and CyberTracker, will be integrated and new software will be built to integrate and share additional software and data. The project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects such as those that monitor disease outbreaks, collect biodiversity data, monitor street potholes, track climate change, and any number of other possible topics more possible, efficient, and impactful through shared software. The project will develop a cyber-enabled Framework for Advancing Buildable and Reusable Infrastructures for Citizen Science (Cyber-FABRICS) to elevate the reach and complexity of citizen science while adding value by mobilizing well-documented data to advance scientific research, meta-analyses, and decision support. Over the three phases of the project, the software of two platforms, CitSci.org and CyberTracker, will be integrated by developing APIs and reusable software libraries for these and other platforms to use to integrate and share data and software. Using participatory design and agile methods over four years, the project will: (1) broaden the inclusivity, accessibility, and reach of citizen science; (2) elevate the value and rigor of citizen science software and data; (3) improve interoperability, usability, scalability and sustainability of citizen science software and data; and (4) mobilize data to allow cross-disciplinary research and meta-analyses. These outcomes benefit society by making citizen science projects and any number of other possible topics more possible, efficient, and impactful through shared software and data. Adoption of Cyber-FABRICS infrastructure, software, and services will allow anyone with an Internet or cellular connection, including those in remote, underserved, and international communities, to contribute to research and monitoring, either independently or as a team. This project is also being supported by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments.
公民科学让公众参与科学。它通过让更多的人参与并接受新思想来推动科学的进步。最近的项目使用软件和应用程序来更有效地进行科学研究。然而,现有的公民科学软件和数据库是临时的、不可互操作的、非标准化的和孤立的,导致数据和软件孤岛阻碍了科学进步。该项目将开发新软件并集成现有软件、应用程序和公民科学数据,从而扩大软件和数据的发现、评估、探索、可视化、分析和重用。在这三个阶段中,CitSci.org 和 CyberTracker 两个平台的软件将被集成,并将构建新的软件来集成和共享其他软件和数据。该项目将:(1)扩大公民科学的包容性、可及性和影响范围; (2) 提高公民科学数据的价值和严谨性; (3) 提高公民科学软件和数据的互操作性、可用性、可扩展性和可持续性; (4) 调动数据以进行跨学科研究和荟萃分析。这些成果通过共享软件使公民科学项目(例如监测疾病爆发、收集生物多样性数据、监测街道坑洼、跟踪气候变化以及任何其他可能的主题)变得更加可行、高效和有影响力,从而造福社会。该项目将开发一个网络驱动的框架,以推进公民科学的可构建和可重复使用的基础设施(Cyber-FABRICS),以提高公民科学的范围和复杂性,同时通过调动记录良好的数据来推进科学研究、荟萃分析、和决策支持。在该项目的三个阶段中,CitSci.org 和 CyberTracker 这两个平台的软件将通过开发 API 和可重用软件库来集成,以便这些平台和其他平台用于集成和共享数据和软件。通过四年的参与式设计和敏捷方法,该项目将:(1)扩大公民科学的包容性、可及性和影响范围; (2) 提升公民科学软件和数据的价值和严谨性; (3) 提高公民科学软件和数据的互操作性、可用性、可扩展性和可持续性; (4) 调动数据以进行跨学科研究和荟萃分析。这些成果通过共享软件和数据使公民科学项目和任何其他可能的主题变得更加可行、高效和有影响力,从而造福社会。采用 Cyber-FABRICS 基础设施、软件和服务将允许任何拥有互联网或蜂窝连接的人,包括那些生活在偏远、服务欠缺和国际社区的人,独立或作为团队为研究和监测做出贡献。 该项目还得到了推进非正式 STEM 学习 (AISL) 计划的支持,该计划旨在推进非正式环境中 STEM 学习设计和开发的新方法和基于证据的理解。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Designing a Platform for Ethical Citizen Science: A Case Study of CitSci.org
设计有道德的公民科学平台:CitSci.org 案例研究
- DOI:http://10.5334/cstp.227
- 发表时间:2019-03
- 期刊:
- 影响因子:0
- 作者:Lynn, S.J.;Kaplan, N.;Newman, S.;Scarpino, R.;Newman, G.
- 通讯作者:Newman, G.
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Gregory Newman其他文献
Theta and Learning: Dorsal and Ventral Hippocampal Theta Oscillation Respond Differently to Learning
Theta 与学习:背侧和腹侧海马 Theta 振荡对学习的反应不同
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Gregory Newman - 通讯作者:
Gregory Newman
Video classification using deep learning
使用深度学习进行视频分类
- DOI:
10.33915/etd.6041 - 发表时间:
2020-03-01 - 期刊:
- 影响因子:0
- 作者:
Gregory Newman - 通讯作者:
Gregory Newman
Manifold Characteristics That Predict Downstream Task Performance
预测下游任务绩效的流形特征
- DOI:
10.48550/arxiv.2205.07477 - 发表时间:
2022-05-16 - 期刊:
- 影响因子:0
- 作者:
Ruan van der Merwe;Gregory Newman;E. Barnard - 通讯作者:
E. Barnard
Gregory Newman的其他文献
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{{ truncateString('Gregory Newman', 18)}}的其他基金
Collaborative Research: Framework: Software: HDR: Building the Twenty-First Century Citizen Science Framework to Enable Scientific Discovery Across Disciplines
合作研究:框架:软件:HDR:构建二十一世纪公民科学框架以实现跨学科的科学发现
- 批准号:
1835574 - 财政年份:2019
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
I-Corps: Citizen science technology platform
I-Corps:公民科学技术平台
- 批准号:
1817612 - 财政年份:2018
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
SI2-SSE: Developing Sustainable Software Elements to Support the Growing Field of Public Participation in Scientific Research
SI2-SSE:开发可持续软件元素以支持不断增长的公众参与科学研究领域
- 批准号:
1339707 - 财政年份:2013
- 资助金额:
$ 100万 - 项目类别:
Standard Grant
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