REU Site: Language, Cognition and Computation

该项目由SBE董事会的本科生研究经验（REU）网站计划资助。除了整合研究和教育之外，它还具有科学和社会效益。认知科学和人工智能领域的前沿研究需要跨学科的培训，而这并不是所有大学都能提供的，特别是那些为少数民族服务的大学，这些少数民族在研究中的代表性通常不足。斯坦福大学的本科生语言、认知和计算研究经验项目旨在应对这一挑战。它为来自不同背景的有才华的本科生提供了在顶级实验室进行指导性认知科学研究的机会，并配有支持性计划框架，包括技术培训，专业发展和学术讨论。该计划的目标是：1。培养下一代语言、计算和认知研究人员; 2.帮助有前途的学生发现研究的兴奋点和价值; 3.在成员实验室开发新的，创新的，雄心勃勃的学生主导的项目;和4。支持斯坦福大学及其他大学的跨学科认知科学研究社区。认知科学及其核心学科--心理学、语言学和计算机科学--正在围绕不确定性和学习的主题进行重大融合。随着心理学和语言学变得越来越计算化，计算正在回归其认知根源。这一点在最近的人工智能热潮中表现得最为明显：几十年前在心理学中发展起来的人工智能技术在机器学习中死灰复燃。REU项目的学生将通过成人和儿童的认知实验、理论发展、人工智能模型的使用以及对现有数据集的统计分析等指导研究，为这些领域的研究做出贡献。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和更广泛的影响审查标准进行评估，被认为值得支持。

This project is funded from the Research Experiences for Undergraduates (REU) Sites program in the SBE Directorate. It has both scientific and societal benefits in addition to integrating research and education. Cutting edge research in cognitive science and artificial intelligence requires interdisciplinary training that is not available at all universities, especially those that serve minorities typically under-represented in research. The Language, Cognition, and Computation Research Experience for Undergraduates (REU) program at Stanford University aims to address this challenge. It provides talented undergraduates from diverse backgrounds with an opportunity to do mentored cognitive science research in top laboratories, paired with a supportive program framework that includes technical training, professional development, and academic discussion. The goals of this program are to: 1. Train the next generation of researchers in the study of language, computation, and cognition; 2. Help promising students discover the excitement and value of research; 3. Develop new, innovative, ambitious student-led projects in member labs; and 4. Support the interdisciplinary cognitive science research community at Stanford and beyond.Cognitive science and its core disciplines – psychology, linguistics, and computer science – are seeing a major convergence around themes of uncertainty and learning. As psychology and linguistics are becoming more computational, computation is returning to its cognitive roots. Nowhere is this more obvious than in the recent artificial intelligence boom: AI techniques developed in psychology decades ago have undergone a resurgence in machine learning. Students in the REU program will contribute to research in these areas through mentored research via cognitive experiments with adults and children, theoretical development, use of artificial intelligence models, and statistical analysis of pre-existing datasets.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.