REU Site: Socially Relevant Computing and Analytics

这个“社会相关的计算和分析”研究经验的本科生网站（SRCA-REU）将沉浸在一个充满活力的研究社区的教师和研究生工作前沿的互动和智能媒体，提高学习和医疗保健成果，教育技术，并与和通过计算机的互动形式多样的本科生群体。“社会相关计算”是广义上使用的术语，包括具有社会相关性的系统和数据。学生将从代表性不足的团体和学院和大学招募，通过STARS计算军团，致力于扩大参与计算的NSF资助的国家机构联盟有限的研究机会。该项目的重点是相关的尖端技术是一个证明的重点，可以提高保留少数民族和妇女。学生在SRCA-REU将参加各种研究项目，从互动系统/游戏，（讨论人类在学习，健康，创造力，并提供食物和住所）到机器学习/分析研究（处理在这些系统中交互的人生成的数据，以及机器学习/分析这些数据的道德需求）。这些研究活动可能会导致发现和评估创新的交互式解决方案，以解决严肃游戏，数据分析，智能辅导，叙事生成和生物算法中的开放问题。SRCA-REU将为教师和研究生导师提供明确的研究指导培训，并明确鼓励教师和学生发表结果。SRCA-REU学生将在本科研究竞赛中展示他们的工作，并鼓励他们提交技术论文作为同行评审的出版物。使用亲和研究组和STARS训练雷乌斯模型，教师和研究生导师将与本科生合作，创造一个支持性的合作文化，同时促进个人对研究的贡献，该奖项反映了NSF的法定使命，并通过使用基金会的智力价值进行评估，被认为值得支持和更广泛的影响审查标准。

This "Socially Relevant Computing and Analytics" Research Experiences for Undergraduates Site (SRCA-REU) will immerse a diverse group of undergraduates in a vibrant research community of faculty and graduate students working on cutting-edge interactive and intelligent media, improving learning and healthcare outcomes, educational technologies, and diverse forms of interaction with and through computers. “Socially relevant computing” is a term used in a broad sense to include systems and data that have social relevance. Students will be recruited from underrepresented groups and colleges and universities with limited research opportunities through the STARS Computing Corps, an NSF-funded national consortium of institutions dedicated to broadening participation in computing. The project's focus on relevant cutting-edge technologies is a proven focus that can improve retention for minorities and women.Students in SRCA-REU will participate in a variety of research projects that range from interactive systems/games (addressing theme such as humans in learning, health, creativity, and providing food and shelter) to machine learning/analytics research (that deals with data generated from people interacting in these systems as well as the need for ethics in machine learning/analytics of such data). These research activities can potentially lead to the discovery and evaluation of innovative, interactive solutions to open problems in serious games, data analytics, intelligent tutoring, narrative generation, and biological algorithms. The SRCA-REU will provide explicit research mentoring training to faculty and graduate student mentors, and explicitly encourage faculty and student publication of results. SRCA-REU students will present their work at an undergraduate research competition and will be encouraged to submit their technical papers as peer reviewed publications. Using the Affinity Research Groups and STARS Training for REUs models, faculty and graduate student mentors will be engaged with undergraduates to create a supportive culture of collaboration while promoting individual contributions to research through just-in-time training for both mentors and students throughout the summer.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.