REU Site: Socially Relevant Computing and Analytics

这个“与社会相关的计算和分析”本科生研究经验网站（SRCA-REU）将使不同的本科生群体沉浸在一个充满活力的研究社区中，该社区的教师和研究生致力于尖端的互动和智能媒体，改善学习和医疗保健结果，教育技术以及与计算机互动和通过计算机互动的各种形式。“社会相关计算”是一个广义的术语，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群体和研究机会有限的学院和大学中招募，通过STARS计算队，这是一个由nsf资助的国家机构联盟，致力于扩大计算机领域的参与。该项目对相关尖端技术的关注已得到证实，可以提高少数民族和妇女的留任率。SRCA-REU的学生将参与各种研究项目，从互动系统/游戏（解决人类在学习、健康、创造力和提供食物和住所等主题）到机器学习/分析研究（处理人们在这些系统中互动产生的数据，以及机器学习/分析这些数据的伦理需求）。这些研究活动可能会导致发现和评估严肃游戏、数据分析、智能辅导、叙事生成和生物算法中开放问题的创新、互动解决方案。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研究成果。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。利用亲和研究小组和STARS培训REUs模型，教师和研究生导师将与本科生合作，创造一种支持性的合作文化，同时通过整个夏天对导师和学生的及时培训，促进个人对研究的贡献。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.