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EAGER: PPER: Collaborative: Cellphone-Enabled Water Citizen Science for Data and Knowledge Generation, and Sharing: WatCitSci

EAGER: PPER: Collaborative: Cellphone-Enabled Water Citizen Science for Data and Knowledge Generation, and Sharing: WatCitSci
EAGER:PPER:协作:手机支持的水公民科学,用于数据和知识生成和共享:WatCitSci
批准号:
1743985
负责人:
Sriram Chellappan
金额:
$2.8万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-11-01 至 2019-10-31

项目摘要

项目成果

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中文摘要
翻译
这个名为“WatCitSci”的水公民科学项目旨在通过利用公众参与来扩大水资源数据收集的能力。一种新型的、基于手机的水质传感器正在开发,用于测量云量、酸度水平、溶解氧浓度和地表水流量,并将其部署给公民科学家。这些参与者随后被派去收集数据,以便在市政、农业地区和其他用水密集型部门做出明智的水管理决策。该项目为未来的许多研究、教育和政策制定工作提供了一个平台和知识来源。分享新知识也可能促进在评估和预测影响社会各阶层的用水和分配的影响方面采用新的方法。公民科学工具的开发将加强社区对水质工程和研究的参与,特别是解决我们饮用水系统和供水安全的挑战。为WatCitSci开发的工具包括基于手机的浊度、pH值和溶解氧浓度水质传感器,以及用于地表水流量量化的颗粒跟踪测速工具。这些努力由密苏里科技大学发起,使公民可以在经济和技术上对水质评估进行评估。项目研究人员使用科学方法的方法,通过动手、参与的活动来指导其他人制定研究问题、进行科学实验、收集和分析水数据、解释结果和调查社区影响。由此产生的WatCitSci公民科学家在供水或水质出现问题时为“关键控制点”提供可部署的数据收集。然后,数据收集、计算和集成平台可用于开发预测模型,以创造广泛的研究机会。未来的研究人员将有能力以更大的空间和时间分辨率收集关键水问题的数据,特别是在城市社区。该项目的目标是:1)先进网络中的人类——在基于手机的平台上为快速部署的公民科学家开发先进的数据收集和计算;2)通过综合学生/公民科学项目、双向知识转移以及课堂和实地教育的教育工具提高公众意识;3)向利益相关者和决策者提供综合实时数据分析信息投影;4)通过社交媒体评估公众对水的态度和信念,量化公众对公民科学知识和信念的理解。
英文摘要
This Water Citizen Science, "WatCitSci," project seeks to expand the capacity for water resource data collection by leveraging public participation in the efforts. Novel, cell phone-based water quality sensors for cloudiness, acidity levels, dissolved oxygen concentration and surface water flow are being developed and deployed to citizen scientists. These participants are then being deployed to gather data for making informed water management decisions in municipalities, agricultural areas, and other water-intensive sectors. This project offers a platform and knowledge source for many future research, education and policy making efforts. Sharing new knowledge may also fuel novel approaches in assessing and projecting impacts of water use and allocation that affect all sections of society. The development of citizen science tools will enhance community engagement on water quality engineering and research, specifically addressing challenges to our drinking-water systems and the safety of our water supplies.The tools developed for WatCitSci include cellphone-based water quality sensors for turbidity, pH, and dissolved oxygen concentration and a particle tracking velocimetry tool for surface water flow quantification. These efforts, initiated at Missouri University of Science and Technology, make water quality assessment assessable to the citizenry, both economically and technologically. The project researchers use the approaches of the scientific method with hands-on, engaging activities to guide others in formulating research questions, conducting scientific experiments, collecting and analyzing water data, interpreting results and investigating community impacts. The resultant WatCitSci citizen scientists provide deployable data collection to "critical control points" when and where water supply or water quality becomes an issue. The data collection, computation and integration platforms can then be used in developing forecasting models to create a wide array of research opportunities. Future researchers will have increased ability to gather data on critical water issues at greater spatial and temporal resolution, particularly in urban communities. The objectives of the project are: 1) Humans in Advanced Networks - Developing advanced data collection and computation in cell phone-based platforms for rapid deployable citizen scientists; 2) Public awareness through integrated student/citizen science programs, bi-directional knowledge transfers and educational tools for classrooms and field education; 3) Integrated real-time data analysis information projection to stakeholders and decision-makers; and, 4) Assessing water attitudes, beliefs and quantifying public understanding of citizen science knowledge and beliefs via social media.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Predicting Community Engagement on Twitter on Environmental Health Hazards
预测 Twitter 上社区对环境健康危害的参与度
DOI: 10.1109/icosc.2019.8665530
发表时间: 2019
期刊: 2019 IEEE 13th International Conference on Semantic Computing (ICSC
影响因子: --
作者: [Alshchri, Adel, Isaacs, Wainella, Addawood, Aseel, Trotz, Maya, Chellappan, Sriram]
通讯作者: Chellappan, Sriram
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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