REU Site: Computational and Mathematical Modeling of Complex Systems

REU 网站：复杂系统的计算和数学建模

基本信息

批准号：
1358567
负责人：
Cristopher Moore
金额：
$ 34.7万
依托单位：
Santa Fe Institute
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-04-01 至 2018-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1358567&HistoricalAwards=false
关键词：
REU Site Computational Mathematical Modeling

项目摘要

The ability to mathematically model complex systems has become a prerequisite to successful science in any field. Writing a simulation is not enough; career scientists today should be able to analyze results, recognize statistical regularities, formulate conjectures, and pursue possible proofs about why these conjectures are true. The goal of this REU site is to enhance students' understanding and use of computational and mathematical modeling within their respective disciplines, and to create a new generation of mathematically and computationally sophisticated researchers. The program is designed for students from computer science, pure and applied mathematics, physics, chemistry, quantitative biology, and social science. The proposed project provides an educational and research experience for 10 undergraduates each summer at the Santa Fe Institute (SFI), an independent, nonprofit multidisciplinary research institute dedicated to the study of complex adaptive systems, including physical, computational, biological, and social systems. SFI's REU site explores how a tier-one research institution successfully bridges the divide to under-represented minorities (URM) and to undergraduates at institutions with limited research opportunities; the aim is to provide participants with an authentic research experience in the emerging field of complex systems. The program aims for highly talented participants who attend an institution with limited research opportunities.

对复杂系统进行数学建模的能力已成为任何领域科学成功的先决条件。编写一个模拟是不够的；还需要编写一个模拟。今天的职业科学家应该能够分析结果，识别统计规律，提出猜想，并寻求可能的证据来证明这些猜想为何正确。该 REU 网站的目标是增强学生对各自学科内计算和数学建模的理解和使用，并培养新一代数学和计算复杂的研究人员。该项目是为计算机科学、纯粹数学和应用数学、物理、化学、定量生物学和社会科学的学生设计的。拟议的项目每年夏天为圣达菲研究所 (SFI) 的 10 名本科生提供教育和研究经验，SFI 是一家独立的非营利性多学科研究机构，致力于研究复杂的自适应系统，包括物理、计算、生物和社会系统。 SFI 的 REU 网站探讨了一级研究机构如何成功弥合与代表性不足的少数群体 (URM) 以及研究机会有限的机构的本科生之间的鸿沟；目的是为参与者提供复杂系统新兴领域的真实研究经验。该计划面向在研究机会有限的机构就读的高素质参与者。