REU Site: Diverse Undergraduate Research Experiences in Statistics

REU 网站：统计学本科生的多样化研究经验

• 批准号: 1560332
• 负责人: Mark Ward
• 金额: $ 38.03万
• 依托单位: American Statistical Association
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-02-01 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1560332&HistoricalAwards=false
• 关键词: REU; Site; Diverse; Undergraduate; Research

The American Statistical Association (ASA) will invigorate the undergraduate research community in statistics by implementing a distributed network of research experiences for undergraduates sites. At each site, student teams will work with complex data sets from varied scientific and engineering disciplines in which statistics plays a key role for data analysis. Over a three year period, the project will have nine sites with four students per site, allowing 36 students to have a research experience in statistics during the lifetime of the grant. Recruitment will target women, minorities, and persons with disabilities. Supported students must be U.S. citizens, nationals, or permanent residents. Key metrics for success will be whether the students subsequently pursue graduate studies, what kind of career choices they make, and how their statistics training impacts their choice of careers and their success in such careers. This initiative should spark and sustain a new excitement about undergraduate research throughout the statistics discipline and has the potential to impact fields that rely on statistics such as engineering, atmospheric science, healthcare, and all kinds of public policy. A unifying theme of the funded proposals is that students will engage in all stages of the data analysis cycle, including: data verification, data cleaning, and data visualization, all the way to statistical modeling, prediction, and data mining/machine learning/computational statistics, as an integral part of their statistics research. One result of these REUs will be a larger number of students who are immersed in the kind of data science analysis that is emerging in every branch of science and engineering. At least 2 faculty mentors are necessary for each project. Priority will be given to faculty who either (a) have a strong track record as a mentor with undergraduate student researchers in the past, and/or (b) have a strong track record of independent research and who are eager to begin working with undergraduate students. The ASA views this new initiative as an opportunity to teach the teachers, too, by coordinating faculty training sessions.

美国统计协会（阿萨）将通过为本科生网站实施分布式研究经验网络，为本科生统计研究社区注入活力。 在每个站点，学生团队将处理来自不同科学和工程学科的复杂数据集，其中统计学在数据分析中起着关键作用。 在三年的时间里，该项目将有九个地点，每个地点有四名学生，使36名学生在赠款的有效期内有统计学研究经验。 招聘将针对妇女、少数民族和残疾人。 受资助的学生必须是美国公民，国民或永久居民。 成功的关键指标将是学生随后是否继续研究生学习，他们做出什么样的职业选择，以及他们的统计培训如何影响他们的职业选择和他们在这些职业中的成功。 这一举措应该引发并维持整个统计学科的本科研究的新兴奋，并有可能影响依赖于统计的领域，如工程，大气科学，医疗保健和各种公共政策。 资助提案的一个统一主题是学生将参与数据分析周期的所有阶段，包括：数据验证，数据清理和数据可视化，一直到统计建模，预测和数据挖掘/机器学习/计算统计，作为其统计研究的一个组成部分。 这些雷乌斯的结果之一将是更多的学生沉浸在科学和工程的每个分支中出现的数据科学分析中。 每个项目至少需要2名教师指导。 优先考虑符合以下条件的教师：（a）过去作为本科生研究人员的导师有良好的记录，和/或（B）有良好的独立研究记录并且渴望开始与本科生合作。 阿萨将这一新举措视为一个通过协调教师培训课程来教授教师的机会。