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IGERT: Program for Interdisciplinary Mathematics, Ecology, and Statistics (PRIMES)

IGERT: Program for Interdisciplinary Mathematics, Ecology, and Statistics (PRIMES)
IGERT:跨学科数学、生态学和统计学项目 (PRIMES)
批准号:
0221595
负责人:
Donald Estep
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-01-01 至 2009-09-30

项目摘要

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中文摘要
翻译
生态研究是科罗拉多州立大学许多系和学院的传统优势。附近的州和联邦机构也与密歇根州立大学的教职员工互动,以监测生态资源并建立模型。这种研究活动大多是跨学科的,并使用先进的数学和统计工具。但是,由于我们研究生课程的学科界限,无论是对定量方法感兴趣的生态学专业的学生,还是对生态学感兴趣的数学/统计学专业的学生,都没有接受到从事这种跨学科研究所需的教育。PRIMES的愿景是通过早期和不间断地接触跨学科研究项目来打破这些界限,通过一门名为团队生态学研究(TREE)的课程。学生将通过研究生课程之间的互惠课程,通过生态学高级定量方法(AQME)的模块课程,以及通过座谈、研讨会和会议,获得在TREE中有效工作所需的工具。助教奖学金、研究助教奖学金和附近州和联邦机构的实习机会将加强PRIME的跨学科培训,并利用IGERT奖学金。CSU现有的数量生态学项目将塑造PRIMES的课程,推动教职员工和学生之间的跨学科合作,并导致博士论文的主题。项目将被组织成五个研究重点小组,以便就相关问题分享资源和想法:管理生态系统的生态学、全球变化的生态学、引入疾病的动力学、水产资源建模和结构种群的进化。素数理事会,包括来自生物学、数学、统计学和其他参与部门的代表,以及一个外部机构,将指导该计划实现使素数成为CSU研究生教育的永久固定课程的目标。IGERT是一个NSF范围内的项目,旨在应对培养具有多学科背景以及满足未来职业需求所需的技术、专业和个人技能的美国博士科学家和工程师的挑战。该项目旨在通过建立创新的研究生教育和培训新模式,在超越传统学科界限的合作研究的肥沃环境中,催化研究生教育的文化变革。在该计划的第五年,将向21个机构颁发奖项,这些机构的项目共同涵盖了NSF支持的科学和工程领域。
英文摘要
Ecological research is a traditional strength within many departments and colleges at Colorado State University. Nearby state and federal agencies also interact with CSU faculty to monitor and model ecological resources. Much of this research activity is interdisciplinary and uses advanced mathematical and statistical tools. But, due to disciplinary boundaries in our graduate programs, neither ecology students with interests in quantitative methods, nor mathematics/statistics students with interests in ecology, are receiving the education they need to work on such interdisciplinary research. The vision of PRIMES is to break down these boundaries through early and uninterrupted exposure to interdisciplinary research projects, via a course called Team Research in Ecology (TREE). Students will obtain the tools they need to work effectively in TREE through reciprocal course offerings among the graduate programs, through modular courses on Advanced Quantitative Methods in Ecology (AQME), and through colloquia, workshops, and conferences. Teaching assistantships, research assistantships, and internships with nearby state and federal agencies will reinforce the interdisciplinary training of PRIMES and leverage IGERT fellowships. Existing projects in quantitative ecology at CSU will shape the curriculum of PRIMES, drive the interdisciplinary collaborations among faculty members and students, and lead to topics for Ph.D. theses. Projects will be organized into five Research Focus Groups to allow sharing of resources and ideas on related problems: Ecology of Managed Ecosystems, Ecology of Global Change, Dynamics of Introduced Disease, Aquatic Resources Modeling, and Evolution in Structured Populations. The PRIMES Council, with representatives from Biology, Mathematics, Statistics, and other participating departments, as well as an external agency, will guide the program toward the goal of making PRIMES a permanent fixture in graduate education at CSU. IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the multidisciplinary backgrounds and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to catalyze a cultural change in graduate education by establishing innovative new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries. In the fifth year of the program, awards are being made to twenty-one institutions for programs that collectively span the areas of science and engineering supported by NSF.
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Collaborative Research: Construction and Analysis of Numerical Methods for Stochastic Inverse Problems with Application to Coastal Hydrodynamics
  • 批准号:
    1818777
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.1万
  • 财政年份:
    2018
  • 负责人:
    Donald Estep
  • 依托单位:
Collaborative research: Statistical and computational efficiency for massive data sets via approximation-regularization
  • 批准号:
    1407543
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.0万
  • 财政年份:
    2014
  • 负责人:
    Donald Estep
  • 依托单位:
Data-Driven Inverse Sensitivity Analysis for Predictive Coastal Ocean Modeling
  • 批准号:
    1228206
  • 项目类别:
    Standard Grant
  • 资助金额:
    $11.45万
  • 财政年份:
    2012
  • 负责人:
    Donald Estep
  • 依托单位:
FRG: Collaborative Research: Error Quantification and Control for Gravitational Waveform Simulation
  • 批准号:
    1065046
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $28.81万
  • 财政年份:
    2011
  • 负责人:
    Donald Estep
  • 依托单位:
海外基金