CRI: CI-EN: Collaborative Research: mResearch: A platform for Reproducible and Extensible Mobile Sensor Big Data Research

移动传感器数据到知识卓越中心（MD2K）为智能手机和云开发了开源软件。科学家使用MD2K软件开发和测试算法，通过可穿戴传感器监测健康状况和工作效率。mResearch项目旨在协助计算机和信息科学与工程（CISE）的研究人员。mResearch项目将显著增强MD2K软件并集成物联网（IoT）设备。增强型MD2K软件将加速传感器设计、移动计算、隐私、分析（特别是机器学习和深度学习）和可视化方面的研究。mResearch将使CISE的研究人员能够轻松地在健康、智能家居和工作场所的科学研究中部署他们贡献的软件。由此产生的发现和工具将帮助个人改善他们的健康，健康和工作效率。MD2K为智能手机开发了开源移动传感器大数据软件平台mCerebrum，为云开发了brain Cortex。这种可扩展和可推广的基础设施用于收集、分析和共享科学领域研究背景下的高频移动传感器数据和相关标签。特别是，它支持模型和算法的开发和验证，以推断健康、健康和生产力的标志及其相关的风险因素。它已经在全国11个地点使用，从2000多名参与者那里收集了超过300tb的移动传感器数据。它产生了新的计算模型，用于检测谈话、吸烟、饮食、渴望、压力和可卡因的使用。mResearch项目正在对MD2K基础设施进行五项重要的基础设施增强，以协助CISE研究人员在移动传感器开发、移动计算、隐私、分析、可视化和参与者参与方面进行研究。首先，它将支持跨系统多层的数据分析工作流管理，以支持可重复和可扩展的实验。其次，它将允许对数据源进行封装，以便在数据分析工作流中提供方便和负责任的访问。第三，它将促进云辅助的复杂实时分析，以个性化移动干预和提高参与度。第四，模拟器将能够在不同的点上将存储的数据馈送到平台中，以实现对系统组件和属性的研究，例如数据压缩、传输和存储，以及数据分析的可扩展性。最后，物联网（IoT）设备和服务将被整合。通过这五项增强，MD2K软件将提供一个完整、开放和模块化的体系结构。它将包括传感器数据收集、数据处理算法、基于云的机器学习和物联网集成的所有方面。增强型MD2K软件将利用高频移动传感器数据促进可重复和可扩展的CISE研究。该奖项反映了美国国家科学基金会的法定使命，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。

The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) has developed open-source software for smart phones and cloud. Scientists use MD2K software to develop and test algorithms to monitor health, wellness, and work productivity via wearable sensors. The mResearch project is aimed at assisting Computer and Information Science and Engineering (CISE) researchers. The mResearch project will significantly enhance MD2K software and integrate Internet-of-Things (IoT) devices. The enhanced MD2K software will accelerate research in sensors design, mobile computing, privacy, analytics (especially machine learning and deep learning), and visualization. mResearch will enable CISE researchers to easily deploy their contributed software in scientific studies for health, smart homes, and workplace. The resulting discoveries and tools will help individuals improve their health, wellness, and work productivity.MD2K has developed open-source mobile sensor big data software platforms mCerebrum for smartphones and Cerebral Cortex for the cloud. This scalable and generalizable infrastructure is used for collecting, analyzing, and sharing high-frequency, mobile sensor data and associated labels in the context of scientific field studies. In particular, it supports the development and validation of models and algorithms for inferring markers of health, wellness, and productivity, and their associated risk factors. It has already been used at eleven sites across the country to collect over 300 terabytes of mobile sensor data in the field setting from over 2,000 participants. It has resulted in new computational models for the detection of conversation, smoking, eating, craving, stress, and cocaine use. The mResearch project is making five significant infrastructure enhancements to the MD2K infrastructure to assist CISE researchers in mobile sensor development, mobile computing, privacy, analytics, visualization, and participant engagement. First, it will enable data analytic workflow management across multiple layers of the system to enable reproducible and extensible experimentation. Second, it will allow encapsulation of data sources to provide convenient and responsible access to them in data analytic workflows. Third, it will facilitate cloud-assisted complex, real-time analytics for personalizing mobile interventions and improving engagement. Fourth, simulators will be developed with the ability to feed stored data into the platform at various points to enable research on system components and properties such as data compression, transfer and storage, as well as the scalability of data analytics. Finally, Internet-of-Things (IoT) devices and services will be integrated. With these five enhancements, the MD2K software will provide a complete, open, and modularized architecture. It will include all aspects of sensor data collection, data processing algorithms, cloud-based machine learning, and IoT integration. The enhanced MD2K software will facilitate reproducible and extensible CISE research with high-frequency mobile sensor data.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.