IGERT: Interdisciplinary Quantitative Biology Program

IGERT:跨学科定量生物学项目

基本信息

  • 批准号:
    1144807
  • 负责人:
  • 金额:
    $ 300万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-07-01 至 2018-06-30
  • 项目状态:
    已结题

项目摘要

This Integrative Graduate Education and Research Traineeship (IGERT) award will provide graduate students with the mathematical and computational training necessary to excel in the collaborative world of quantitative bioscience and make a positive impact on society through the application of their research. Quantitative biology is a transformative approach to bioscience and bioengineering research, which embraces a combination of quantitative skills and biological insight applied to previously intractable research problems.Intellectual Merit: Led by the University of Colorado Biofrontiers Institute, eight science, engineering and math departments will collaborate to address the national need for both interdisciplinary and quantitative training at the graduate level. IQ Biology will create new infrastructure for interdisciplinary graduate programs by providing a mechanism to bring trainees directly into interdisciplinary cohorts and remove hurdles for trainees participating in courses and research that cross departmental and college boundaries. Additionally, trainees will participate in innovation training activities through industry internships, non-academic mentors, symposia, and multidisciplinary team collaborations with faculty and business school colleagues.Broader Impacts: This IGERT project will help define a new approach to graduate education, catalyze institutional change, foster innovation, encourage global thinking and engage the public in scientific discovery. IQ Biology will create cohorts of graduate students who have disciplinary depth and are uniquely qualified to cross academic boundaries throughout their careers. Building on the University?s commitment to increase diversity in STEM disciplines, IQ Biology works with CU-Boulder?s successful programs to recruit and retain students from underrepresented groups.IGERT is an NSF-wide program intended to meet the challenges of educating U.S. Ph.D. scientists and engineers with the interdisciplinary background, deep knowledge in a chosen discipline, and the technical, professional, and personal skills needed for the career demands of the future. The program is intended to establish new models for graduate education and training in a fertile environment for collaborative research that transcends traditional disciplinary boundaries, and to engage students in understanding the processes by which research is translated to innovations for societal benefit.
这个综合研究生教育和研究培训(IGERT)奖将为研究生提供必要的数学和计算培训,以在定量生物科学的协作世界中脱颖而出,并通过他们的研究应用对社会产生积极影响。定量生物学是生物科学和生物工程研究的一种变革性方法,它将定量技能和生物学洞察力相结合,应用于以前棘手的研究问题。智力优势:由科罗拉多大学生物前沿研究所领导,八个科学,工程和数学系将合作,以满足国家对研究生水平跨学科和定量培训的需求。IQ Biology将为跨学科研究生课程创造新的基础设施,提供一种机制,将学员直接带入跨学科队列,并为学员参与跨部门和大学边界的课程和研究消除障碍。此外,学员将通过行业实习、非学术导师、研讨会以及与教师和商学院同事的多学科团队合作等方式参与创新培训活动。更广泛的影响:IGERT项目将帮助定义研究生教育的新方法,促进机构变革,促进创新,鼓励全球思维,并让公众参与科学发现。IQ Biology将创造一批具有学科深度的研究生,他们在整个职业生涯中都有独特的资格跨越学术界限。建立在大学?的承诺,以增加多样性的干学科,智商生物工程与CU博尔德?IGERT是一个全国性的计划,旨在满足教育美国博士学位的挑战。具有跨学科背景的科学家和工程师,在所选学科的深厚知识,以及未来职业需求所需的技术,专业和个人技能。该计划旨在为研究生教育和培训建立新的模式,为超越传统学科界限的合作研究创造肥沃的环境,并让学生了解研究转化为创新以造福社会的过程。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Low-dimensional representation of genomic sequences
  • DOI:
    10.1007/s00285-019-01348-1
  • 发表时间:
    2019-03
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Richard C. Tillquist;M. Lladser
  • 通讯作者:
    Richard C. Tillquist;M. Lladser
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Thomas Cech其他文献

Thomas Cech的其他文献

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{{ truncateString('Thomas Cech', 18)}}的其他基金

NRT-HDR: Integrated Data Science (Int dS): Teams for Advancing Bioscience Discovery
NRT-HDR:综合数据科学 (Int dS):推进生物科学发现的团队
  • 批准号:
    2022138
  • 财政年份:
    2020
  • 资助金额:
    $ 300万
  • 项目类别:
    Standard Grant
Acquisition of a Preparative Ultracentrifuge
购买制备型超速离心机
  • 批准号:
    8501622
  • 财政年份:
    1985
  • 资助金额:
    $ 300万
  • 项目类别:
    Standard Grant

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IQ-Bio-REU:本科生跨学科和定量生物学研究经验
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