Collaborative Research: A Two-Week Mentored Program to Prepare Graduate Students for Industrial Careers

第15届研究生数学建模夏令营(GSMMC)将于2019年6月12日至15日在特拉华大学举行，随后一周将于2019年6月17日至21日在新泽西理工学院举行第35届工业数学问题(MPI)研讨会。GSMMC是一个有指导的、解决问题的研讨会，来自美国各地的博士生小组在这个研讨会上指导教师或经验丰富的博士后导师对现实世界的问题进行成功的数学建模。在认真的指导下，学生参与者在一周内培养他们的建模、团队合作和演示技能：通过建模和模拟问题的团队合作；通过在周末所做的最终小组报告；以及通过撰写最终报告。培训活动还包括数值模拟和编写一份概述其发现的最后报告。这些技能在下周的MPI上得到了应用和巩固，行业参与者展示了他们所在行业面临的直接建模挑战，学术参与者(教师、博士后和GSMMC的博士生)在这些挑战上工作。在工业问题上通常会取得重大进展，博士生参与者在周末的最后报告中带头向来自行业的参与者展示这些发现。除了建立他们的技能和简历，学生参与者还可以接触到与一系列行业参与者的宝贵的网络互动。GSMMC-MPI项目旨在为研究生整合跨学科研究和教育。GSMMC专注于研究生教育和培训：它的主要智力优势在于学生对所提出问题的数学模型的开发和分析。问题是高度跨学科的，给学生提出了一个新的智力挑战。在GSMMC提供的预备培训下，学生们已经为MPI更开放、更具研究性的环境做好了准备。在MPI上提出的问题挑战参与者设计新的方法来模拟和分析新兴技术领域的工业数学问题。必须有效地使用数学建模、分析技术、数值模拟和数据分析。合作解决问题的方法涉及从研究生到有经验的教师的数学家，是MPI结构的核心，并为研究生提供重要的额外培训，同时促进有效的科学交流。这两个事件的全部细节可以找到athttps://www.mathsci.udel.edu/events/conferences/gsmmc-2019https://web.njit.edu/~rmoore/MPI2019/MPI2019home.phpThis奖项反映了国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The 15th annual Graduate Student Mathematical Modeling Camp (GSMMC) will be held June 12-15, 2019 at the University of Delaware, followed the week after by the 35th annual Mathematical Problems in Industry (MPI) workshop, June 17-21, 2019 at the New Jersey Institute of Technology. GSMMC is a mentored, problem-solving workshop, at which small teams of Ph.D. students from across the U.S. are guided through successful mathematical modeling of real-world problems presented by faculty or experienced postdoctoral mentors. Under careful mentoring, student participants build their modeling, teamwork and presentation skills during the week: via the teamwork on modeling and simulating the problems; through the final team presentations made at the end of the week; and in writing the final reports that are produced. Training activities also include numerical simulations and the preparation of a final report outlining their discoveries. These skills are put to use and consolidated the following week at MPI, where industrial participants present immediate modeling challenges facing their industries, on which academic participants (faculty, postdocs, and the Ph.D. students from GSMMC) work. Significant progress on the industrial problems is usually made, and Ph.D. student participants take the lead in presenting the findings to the participants from industry in final presentations at the week's end. In addition to building their skillsets and resumes, student participants are exposed to valuable networking interactions with a range of industrial participants.The GSMMC-MPI program is designed to integrate interdisciplinary research and education for graduate students. The GSMMC is focused on graduate student education and training: its chief intellectual merit lies in the development and analysis, by students, of the mathematical models for the problems presented. Problems are highly interdisciplinary, presenting students with a novel intellectual challenge. With the preparatory training provided by the GSMMC, students are ready for the more open-ended, research-level environment of MPI. The questions posed at MPI challenge participants to design new ways of modeling and analyzing industrial mathematics problems in emerging areas of technology. Mathematical modeling, analytical techniques, numerical simulations, and data analysis must all be used effectively. The collaborative approach to problem solving, which involves mathematicians ranging from graduate students to experienced faculty, is central to the structure of MPI and provides significant additional training to graduate students, while promoting effective scientific communication. Full details for both events may be found athttps://www.mathsci.udel.edu/events/conferences/gsmmc-2019https://web.njit.edu/~rmoore/MPI2019/MPI2019home.phpThis 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.