REU Site: Computational Sensing

这个新的本科生研究体验（REU）站点的目标是让学生体验与人类相关的多源传感数据的获取和融合的基础研究。学生将面临的挑战是通过硬件、软件和复杂的思维来理解人类行为和认知过程，探索计算科学、科学实践和人类经验的联系。传统上，传感器被狭义地理解为生理测量。该项目设想以更广泛的新方式感知，作为与个人直接相关的可测量数据，并延伸到他们的社区。有了这种理解，感知数据可能涉及语言、社会网络和环境信号，或情感创造性反应。该REU站点将：(1)推进计算传感的基础研究；(2)让学生接触到一个创新地融合了计算机和信息科学与计算文科的研究环境，注入了促进职业发展的学习元素；(3)确保变革性的研究经验能够覆盖到计算机科学中代表性不足的亚群体中异常多样化的学生群体。这些项目与学生可以直接联系的应用程序联系起来，使他们能够做出具体的，现实世界的贡献。此外，对合作团队科学日益增长的需求要求新一代科学家以不同的方式研究问题，探索互补的观点，并以创造性的方式整合方法和分析工具。多源数据采集和融合的基础研究对包括人机交互、可访问性、健康和福祉以及游戏在内的许多领域具有重要意义。该REU计划旨在为学生的持续研究事业建立必要的终身能力，并在机构和研究社区层面取得积极成果。

The goal of this new Research Experiences for Undergraduates (REU) Site is to give students experience with fundamental research in acquisition and fusion of multisource sensing data related to human beings. Students will be challenged to make sense of human behaviors and cognitive processes with hardware, software, and complex thinking, exploring the nexus of computational science, scientific practice, and the human experience. Traditionally, sensors have been understood narrowly, often as physiological measurements. This project envisions sensing in broader, new ways, as time-evolving measurable data directly linked to individuals and, by extension, to their communities. With this understanding, sensing data may involve language, social network and environment signals, or emotional-creative reactions. This REU site will: (1) advance fundamental research in computational sensing; (2) expose students to a research environment that innovatively blends computer and information science and computational liberal arts, infused with career-enhancing learning elements, and (3) ensure that transformative research experiences reach an unusually diverse student group of underrepresented subpopulations in computer science.The projects link in applications that students can directly relate to and that enable them to make concrete, real-world contributions. Further, the increasing demand for collaborative team science requires a new generation of scientists who approach research questions differently, exploring complementary perspectives and integrating methodologies and analysis tools in creative ways. Fundamental research in multisource data acquisition and fusion has valuable implications for many fields including human-computer interaction, accessibility, health and well-being, and gaming. This REU program is designed to build essential life-long capabilities in students for continued research careers, and to yield positive outcomes at the institutional and research community levels.