REU Site: Computational and Mathematical Modeling of Complex Systems

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。写一个模拟是不够的；今天的职业科学家应该能够分析结果，识别统计规律，形成猜想，并寻求可能的证据来证明为什么这些猜想是正确的。这个REU网站的目标是提高学生对各自学科中计算和数学建模的理解和使用，并创造新一代数学和计算复杂的研究人员。该课程专为计算机科学、纯数学和应用数学、物理、化学、定量生物学和社会科学等专业的学生设计。该项目每年夏天在圣菲研究所（SFI）为10名本科生提供教育和研究经验。圣菲研究所是一个独立的、非营利性的多学科研究机构，致力于研究复杂的适应系统，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地弥合与代表性不足的少数民族（URM）和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一个真实的研究经验，在复杂系统的新兴领域。该计划的目标是那些在研究机会有限的机构就读的有才华的参与者。

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.