REU Site: Computational Sensing

这个新的本科生研究体验(REU)网站的目标是为学生提供获取和融合与人类相关的多源传感数据的基础研究经验。学生将被要求通过硬件、软件和复杂思维来理解人类的行为和认知过程，探索计算科学、科学实践和人类经验之间的联系。传统上，传感器被狭隘地理解为生理测量。该项目设想以更广泛、新的方式进行传感，作为随时间演变的可测量数据，直接与个人以及他们的社区联系在一起。有了这种理解，感知数据可能涉及语言、社交网络和环境信号，或情绪创造性反应。这个REU网站将：(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，注入了促进职业生涯的学习元素，以及(3)确保变革性的研究体验接触到计算机科学中未被充分代表的特殊不同的学生群体。这些项目链接到学生可以直接与之相关的应用程序，并使他们能够做出具体的、现实的贡献。此外，对协作团队科学的日益增长的需求需要新一代科学家以不同的方式处理研究问题，探索互补的视角，以创造性的方式整合方法和分析工具。多源数据获取和融合的基础研究对人机交互、可访问性、健康和福祉以及游戏等许多领域都具有重要意义。这一REU计划旨在为学生建立必要的终身能力，使他们能够继续从事研究事业，并在机构和研究社区层面产生积极的结果。

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.