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: University of South Florida
• 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
• 起止时间: 2017-11-01 至 2019-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743985&HistoricalAwards=false
• 关键词: EAGER; PPER; Collaborative; Cellphone; Enabled

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.

这个水公民科学项目，“WatCitSci”，旨在通过利用公众参与的努力，扩大水资源数据收集的能力。 新型的基于手机的水质传感器，用于测量浊度、酸度、溶解氧浓度和地表水流量，目前正在开发并部署给公民科学家。 这些参与者随后被部署收集数据，以便在市政当局、农业地区和其他水密集型部门做出明智的水管理决策。 该项目为许多未来的研究，教育和政策制定工作提供了一个平台和知识来源。分享新知识还可推动采取新的办法，评估和预测影响社会各阶层的水资源使用和分配的影响。 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，特别是解决我们的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水质传感器，用于浊度，pH值和溶解氧浓度，以及用于地表水流量量化的颗粒跟踪测速工具。这些努力，发起于密苏里州科技大学，使水质评估评估的公民，在经济和技术。项目研究人员使用科学方法的方法与实践，从事活动，以指导他人制定研究问题，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公民科学家提供可部署的数据收集到“关键控制点”时，供水或水质成为一个问题。 数据收集，计算和集成平台可以用于开发预测模型，以创造广泛的研究机会。未来的研究人员将有更大的能力以更高的空间和时间分辨率收集有关关键水问题的数据，特别是在城市社区。该项目的目标是：（1）先进网络中的人类-为可快速部署的公民科学家开发基于手机的平台上的先进数据收集和计算;（2）通过综合学生/公民科学方案、双向知识转让以及课堂和实地教育的教育工具提高公众认识;（3）向利益攸关方和决策者提供综合实时数据分析信息投影;以及4）评估水的态度，信仰和量化公众通过社交媒体对公民科学知识和信仰的理解。

项目成果

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
• 作者: Alshchri, Adel;Isaacs, Wainella;Addawood, Aseel;Trotz, Maya;Chellappan, Sriram
• 通讯作者: Chellappan, Sriram