I-Corps Teams: Mobile Platform for Collecting, Analyzing, and Managing In-Field Data

I-Corps Teams：用于收集、分析和管理现场数据的移动平台

• 批准号: 1849518
• 负责人: Roman Lubynsky
• 金额: $ 5万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2020-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1849518&HistoricalAwards=false
• 关键词: Corps; Teams; Mobile; Platform; Collecting

The broader impact/commercial potential of this I-Corps project is a significantly improved in-field data collection and data analysis workflow. This technology leverages the widespread use of smartphones around the world by providing a robust digital platform with low hardware requirements for collecting and understanding data. By digitizing inputs from the beginning of the data collection process and providing live analysis, the platform reduces the cost, time, and expertise required to collect and understand the information contained within datasets. The technology can benefit diverse industries, but has particular application to municipal governments and NGOs, where project managers need to regularly monitor the effect of their program. Their ability to do so and make the necessary adjustments directly impact the effectiveness and efficiency of the projects. The technology has significant commercial potential beyond governments and NGOs, and impacts any industry that requires rapid and reliable data insights for decision making. Over time, the technology will make data collection and usage more accessible to empower average people to better advocate for their community.This I-Corps project aims to explore the commercial potential of a fully digital in-field data platform. The technology allows any team to quickly collect and analyze in-field data. A robust software platform forms the core of the technology. The platform automatically tags data with GPS and time information and provides live visualization of data and team activity with minimal hardware requirements. Advanced mobile algorithms manage data caching and cloud uploading. These algorithms enable the platform to operate reliably in areas with intermittent internet connection and protect data during hardware crashes. This fully digital process reduces the cost and time required to compile and interpret in-field datasets so valuable insights can be gained quickly and cheaply to facilitate data-driven decision making. Over time, this work may also increase the accessibility of data to the public and empower citizens to better advocate for their communities.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.

这个I-Corps项目的更广泛影响/商业潜力是大大改进了实地数据收集和数据分析工作流程。 该技术通过提供一个强大的数字平台来利用智能手机在世界各地的广泛使用，该平台对收集和理解数据的硬件要求较低。 通过从数据收集过程开始就对输入进行数字化并提供实时分析，该平台减少了收集和理解数据集中包含的信息所需的成本、时间和专业知识。 该技术可以使不同的行业受益，但特别适用于市政府和非政府组织，项目经理需要定期监控其计划的效果。 它们这样做和作出必要调整的能力直接影响到项目的效力和效率。 该技术具有超越政府和非政府组织的巨大商业潜力，并影响任何需要快速可靠的数据洞察力进行决策的行业。 随着时间的推移，该技术将使数据收集和使用更容易，使普通人能够更好地为他们的社区辩护。这个I-Corps项目旨在探索全数字现场数据平台的商业潜力。该技术允许任何团队快速收集和分析现场数据。 一个强大的软件平台构成了该技术的核心。该平台自动使用GPS和时间信息标记数据，并以最低的硬件要求提供数据和团队活动的实时可视化。先进的移动的算法管理数据缓存和云上传。这些算法使平台能够在间歇性互联网连接的区域可靠地运行，并在硬件崩溃期间保护数据。这一完全数字化的过程减少了编译和解释现场数据集所需的成本和时间，因此可以快速、廉价地获得有价值的见解，以促进数据驱动的决策。随着时间的推移，这项工作还可能增加公众对数据的可访问性，并使公民能够更好地为他们的社区辩护。该奖项反映了NSF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。