REU Site: Undergraduate Research in Smart Environments

这个本科生研究体验网站将使每年10名本科生能够在每年夏天为期10周的时间里进行智能环境领域的实践研究。来自不同机构和人口统计背景的研究参与者将探索多种应用之间的联系，包括人工智能、机器学习、数据挖掘、高性能计算、普及计算、网络、分布式系统、健康、医学、心理学、老年技术和能源可持续性。在这种背景下，与会者将了解如何从这些环境中收集大量数据，分析数据以获取新知识，并采取行动改变环境，以改善健康、安全、效率和可持续性。这个REU网站促进了多个互补学科的研究和培训，包括计算机科学、电气工程、心理学和医疗保健。该团队与校园内的其他REU项目合作，参与者将定期与来自全国各地的REU学生、来自多个REU项目的教师以及智能环境中相关正在进行的研究项目的研究生进行互动。该项目将实现跨学科研究，将技术设计与基于健康的可持续能源应用联系起来，并为本科生利用该技术研究健康、能源和人类行为创造新的机会。这个项目的结果，包括对学生项目的描述，所学到的课程，以及定量和定性的反馈，将通过该项目的网站进行传播。该计划还将为劳动力在多个互补学科中接受培训的一代做出贡献。最后，我们计划的招聘工作和强大的指导部分将在目标人群中传播REU计划的好处的知识，从而扩大对工程学和相关学科的参与。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This Research Experiences for Undergraduates site will enable 10 undergraduates each year to conduct hands-on research in the field of smart environments for a period of 10 weeks each summer. Research participants from a wide variety of institutions and demographic backgrounds will explore the links between multiple applications including artificial intelligence, machine learning, data mining, high-performance computing, pervasive computing, networking, distributed systems, health, medicine, psychology, gerontechnology, and energy sustainability. Within this context, participants will gain an appreciation for how to collect large amounts of data from these environments, analyze the data for new knowledge, and take actions to effect changes in the environments in order to improve health, security, efficiency and sustainability. This REU site facilitates research and training in multiple complementary disciplines including computer science, electrical engineering, psychology, and health care. The team partners with other REU programs on campus, and participants will interact regularly with other REU students from around the country, with faculty from multiple REU programs, and with graduate students from the related ongoing research programs in smart environments. The program will enable interdisciplinary research that links design of technology with health-based sustainable energy applications, and creates new opportunities for undergraduates to study health, energy and human behavior using the technology. Results of this program, including descriptions of student projects, lessons learned, and quantitative and qualitative feedback, will be disseminated via the program website. This program will also make a contribution to a generation whose workforce is trained in multiple, complementary disciplines. Finally, our planned recruitment effort and strong mentoring component will spread knowledge of the benefits of the REU program among the targeted populations, resulting in broadening participation in engineering and related disciplines.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.