REU Site: Socially Relevant Computing in Pervasive Computing, Computer Vision, and Human-Computer Interaction
REU Site: Socially Relevant Computing in Pervasive Computing, Computer Vision, and Human-Computer Interaction
批准号:
1461166
负责人:
Heather Lipford
金额:
$32.38万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-03-01 至 2019-02-28
中文摘要
北卡罗来纳大学夏洛特分校的社会相关计算REU网站邀请了一群不同的本科生参加为期9周的密集暑期研究体验。REU的学生作为合作研究社区的一部分,与教师、研究生和同行合作开展研究。每个项目都有一个与社会相关的主题,为本科生提供应用和扩展他们的计算知识的机会,并加深他们对计算研究的社会和全球影响的理解。该计划的目标是提高人们对研究生院的兴趣,加强对研究和创新职业的准备,并扩大计算机领域中代表性不足的群体的参与。REU的学生将参与研究,以创造支持人类在社会相关任务中的新技术,要求在普及计算、计算机视觉和人机交互领域取得进展。项目包括:创建稳健和可扩展的方法来分析大量医学图像,以支持临床决策和诊断;开发新的算法和系统,以支持在人群感应和公民科学项目中进行大规模科学数据收集;以及创建新的界面和系统,用于分析用户交互,同时保护智能空间中的隐私。有关与社会相关的计算REU网站的更多信息,请访问该计划网站:www.reu.uncc.edu。
英文摘要
The Socially Relevant Computing REU Site at UNC Charlotte engages a diverse group of undergraduate students in an intensive 9-week summer research experience. REU students conduct research as part of a collaborative research community, working with faculty, graduate students, and peers. Each project has a socially relevant theme, providing undergraduate students with the opportunity to apply and extend their computing knowledge and deepen their understanding of the societal and global impact of computing research. The goals of the program are to increase interest in attending graduate school, enhance preparation for careers in research and innovation, and broaden participation of underrepresented groups in the field of computing.The REU students will be involved in research that leads to the creation of new technologies that support humans in socially relevant tasks, requiring advances in the areas of pervasive computing, computer vision, and human computer interaction. Projects include: creating robust and scalable methods to analyze large sets of medical images to support clinical decision-making and diagnosis, developing new algorithms and systems that support large scale scientific data collection in crowdsensing and citizen science projects, and creating novel interfaces and systems for analyzing user interactions while preserving privacy in intelligent spaces. More information about the Socially Relevant Computing REU Site can be found at the program website: www.reu.uncc.edu.
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会议论文
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