REU Site: Psychology Research Experience Program

该奖项是作为NSF的社会，行为和经济科学研究经验的本科生（REU）计划的一部分提供的，也是由SBE的国家科学和工程统计中心（NCSES）的支持。它具有科学和社会效益，并将研究和教育结合起来。该REU计划的明确动机是解决有据可查的成就差距，即代表性不足的人口，种族和少数民族，低收入和第一代大学生的成员：（1）申请心理学和神经科学博士课程，（2）成功完成博士培训，比例远远低于他们在总人口中的代表性。心理学研究经验计划（PREP）在威斯康星州，麦迪逊的大学心理学系提供了密集的指导和经验，在科学研究和专业发展的本科生谁已经表达并表现出在科学心理学的职业生涯的兴趣。PREP的智力重点是将数据科学的原理和方法整合到心理学和神经科学的研究中。这种关注反映在与行为相关的所有科学分支中，包括数据挖掘和Meta分析，大规模数据收集，以及个人数据集可以构成的日益增长的升值，“大数据”可以应用机器学习和其他工程分支的方法。PREP将指导研究经验，数据科学工具培训以及专业发展和网络相结合，旨在为其参与学生提供在STEM成功职业所需的技能。因此，它将扩大代表性不足的群体在STEM相关职业的参与。PREP的特点是指导实验室研究和科学教学，专业发展和网络机会的课程的平衡。每个PREP学生都与一位教授配对，教授的研究福尔斯属于心理学研究的一个或多个领域：生物，临床，认知和认知神经科学，发展和社会。分层指导包括来自主机实验室的研究生或博士后研究员，以及计算机科学系或电气和计算机工程系的研究生。这些PREP研究导师自己参加每周一次的导师培训研讨会。除了扩大参与STEM相关职业的主要目标外，PREP还为学生学习收获评估（SALG）工具提供定量和定性调查研究，以改善STEM学科的教学和辅导。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

This award was provided as part of NSF's Social, Behavioral and Economic Sciences Research Experiences for Undergraduates (REU) program and is also supported by SBE's National Center for Science and Engineering Statistics (NCSES). It has both scientific and societal benefits, and integrates research and education. The explicit motivation for this REU program is to address the well-documented achievement gap whereby members of underrepresented populations, racial and ethnic minorities, low-income, and first-generation college students: (1) apply to PhD programs in psychology and neuroscience and (2) successfully complete their doctoral training, in proportions far lower than their representation in the overall population. The Psychology Research Experience Program (PREP) at the Department of Psychology of the University of Wisconsin, Madison provides intensive mentoring and experience in scientific research and in professional development to undergraduates who have expressed and demonstrated an interest in a career in scientific psychology. The intellectual focus for PREP is integrating principles and methods of data science into the study of psychology and neuroscience. This focus reflects in all branches of science relating to behavior, including data mining and meta analysis, large-scale collection of data, and the increasing appreciation that individual data sets can constitute, "big data" which methods from machine learning and other branches of engineering can be applied. PREP's combination of a mentored research experience, training in the tools of data science, and professional development and networking, is designed to equip its participating students with the skills that are necessary for a successful career in STEM. Thus, it will broaden the participation of underrepresented groups in STEM-related careers.PREP features a balance of mentored laboratory research and a curriculum of scientific instruction, professional development, and networking opportunities. Each PREP student is paired with a professor whose research falls into one or more of these domains of psychology research: Biological, Clinical, Cognition and Cognitive Neuroscience, Developmental, and Social. Tiered mentorship includes graduate student or postdoctoral fellow from the host lab, as well as by a graduate student in the Department of Computer Science or the Department of Electrical and Computer Engineering. These PREP research mentors, themselves, participate in a weekly mentor training workshop. In addition to its primary goal of broadening participation in STEM-related careers, PREP contributes quantitative and qualitative survey research to the Student Assessment of their Learning Gains (SALG) instrument to improve teaching and mentoring in the STEM disciplines.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.