MCTP: PI4: Program for Interdisciplinary and Industrial Internships at Illinois
MCTP: PI4: Program for Interdisciplinary and Industrial Internships at Illinois
批准号:
1345032
负责人:
Yuliy Baryshnikov
金额:
$120.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-03-01 至 2021-02-28
中文摘要
在伊利诺伊州的跨学科和工业实习计划是一个多年的数学研究生培训计划,旨在使学生通过三个关键的过渡点:从本科到研究生学习的过渡;从“罐头”问题的工作过渡到解决开放式问题,甚至制定问题本身;以及从纯粹的“解决问题”过渡到对现实世界的数学,科学或工程挑战进行研究。 该计划包括夏季迷你课程;研究生水平的研究研讨会;小组问题会议;小型研讨会;包括其他科学部门,政府研究实验室和当地技术行业合作伙伴的网络活动;以及在工业或学术研究实验室实习。 研究主题包括大脑中信息处理的基础,大数据算法的几何基础以及非线性控制的微分几何。 将与数学系在这项活动中合作的实体包括伊利诺伊大学基因组生物学研究所,细胞和分子生物学学院,协调科学实验室,贝克曼研究所,AXIS研究中心,桑迪亚国家实验室,和Wolfram研究所。数学科学的长期系统性趋势包括博士数量的稳步增加,同时学术任期的稳步减少-轨道开口这些趋势需要大胆的举措。该项目旨在为数学科学研究生创造替代教育模式,以解决我们学科中这些广泛的系统性变化。 该项目将影响超过125名美国研究生在数学科学超过5年的时间。
英文摘要
The Program for Interdisciplinary and Industrial Internships at Illinois is a multi-year mathematics graduate training program designed to bring students through three critical transition points: the transition from undergraduate to graduate studies; the transition from working on ``canned'' problems to tackling open-ended problems and even formulating the problems themselves; and the transition from pure ``problem solving'' to doing research on a real-world mathematical, scientific or engineering challenge. The program consists of summer mini-courses; graduate level research seminars; group problem sessions; mini-workshops; networking events that include other scientific departments, government research laboratories, and local technology industry partners; and internships in industry or in academic research laboratories. Research topics include the foundations of information processing in the brain, geometric underpinnings of big data algorithms, and the differential geometry of nonlinear control. The entities that will partner with the Department of Mathematics in this activity include the University of Illinois Institute of Genomic Biology, School of Cellular and Molecular Biology, Coordinated Sciences Laboratory, Beckman Institute, the AXIS Research Center, Sandia National Laboratories, and Wolfram Research.Long-term systemic trends in the mathematical sciences include a steady increase in numbers of PhDs produced concurrent with a steady decrease in academic tenure-track openings. These trends demand bold steps. The project aims at creating alternative educational models for graduate students in mathematical sciences that can address these broad systemic changes in our discipline. This project will impact over 125 U.S. graduate students in the mathematical sciences over a 5-year period.
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会议论文
Collaborative Research: Topological Invariants for Enhanced Data Analysis
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批准号:1622370
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项目类别:Continuing Grant
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资助金额:$19.0万
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财政年份:2016
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负责人:Yuliy Baryshnikov
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依托单位: