课题基金 / 基金详情

NRT-HDR: A team-based training paradigm integrating informatics and ecology

NRT-HDR: A team-based training paradigm integrating informatics and ecology
NRT-HDR:融合信息学和生态学的团队训练范式
批准号:
1829075
负责人:
Kiona Ogle
金额:
$289.91万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-01 至 2024-08-31

项目摘要

项目成果

Kiona Ogle的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Earth's deserts, tropical forests, and other ecosystems, natural or managed, provide valuable goods and services to society. These ecosystems, however, are threatened by extreme weather events, changes in land use, habitat fragmentation, and species loss. The expertise to understand the impacts of such threats will require teams who collectively bring to bear modern methods in ecology, data and information processing, computing, statistics, and mathematical modeling. However, such team-based, scientific approaches are rare in formal graduate education programs. This National Science Foundation Research Traineeship (NRT) award to Northern Arizona University will address these challenges by developing a team-based graduate training program in ecological and environmental informatics, with a focus on team-based research combined with the development of strong expert and public communication skills and modern collaborative skills broadly applicable beyond academia. The project anticipates training forty-eight (48) PhD students, including twenty-four (24) funded trainees, with an additional 100 graduate students (MS and PhD) benefiting from various aspects of the NRT training program.This NRT training program is couched in the interdisciplinary research theme of understanding and forecasting the properties and processes of terrestrial ecosystems, especially the impact of and feedbacks to global change. The field is being flooded with data (e.g., from various ecological and Earth observatory networks) that are critical to understanding and forecasting terrestrial ecosystem responses. However, most graduate students and scientists lack the quantitative, computational, and collaborative skills to leverage such data to address grand, challenging questions. This NRT program will train the next generation of scientists to overcome these limitations, with a focus on training in informatics tools and team-science skills that facilitate solutions to complex problems, motivated by the question: How does anthropogenic global change affect the health and productivity of terrestrial ecosystems? In this innovative graduate training program, trainees will create their own scientist profile in ecological and environmental informatics by building substantive depth in a primary core competency and establishing breadth in other primary and supporting areas. The primary areas include data analytics and computing, analysis and synthesis, and terrestrial ecosystem science; the supporting areas include relevant data collection tools and products as well as skillsets in communication, collaboration, and team building. Key elements of this NRT program are scalable and sustainable, including: (1) a curriculum that allows students to personalize their training, (2) workshops, courses, and other activities that focus on team skills and applying these skills to collaborative research projects, (3) preparation for a range of careers via professional development and applied internship opportunities, and (4) the graduate ecological and environmental informatics certificate that is accessible to students in a range of STEM fields. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.This 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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: MRA: Climate legacies and timescales of influence on carbon cycle processes in drylands
  • 批准号:
    2213599
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $364.23万
  • 财政年份:
    2022
  • 负责人:
    Kiona Ogle
  • 依托单位:
DISSERTATION RESEARCH: Role of non-structural carbohydrate dynamics in legacy effects of drought in Southwestern forests
  • 批准号:
    1702017
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.98万
  • 财政年份:
    2017
  • 负责人:
    Kiona Ogle
  • 依托单位:
RAPID: Leveraging the 2015-2016 El Nino to evaluate drought legacy effects on tree growth responses to rare wet events
  • 批准号:
    1643245
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.09万
  • 财政年份:
    2016
  • 负责人:
    Kiona Ogle
  • 依托单位:
Collaborative Research: Extreme Events and Ecological Acclimation: Scaling from Cells to Ecosystems
  • 批准号:
    1602131
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.98万
  • 财政年份:
    2015
  • 负责人:
    Kiona Ogle
  • 依托单位:
国内基金
海外基金
新型复合物gemcitabine-miR-15a靶向抑制PRMT5-RPA-HDR信号通路促进胰腺癌化疗增敏的分子机制
  • 批准号:
    82373128
  • 项目类别:
    面上项目
  • 资助金额:
    48.00万元
  • 批准年份:
    2023
  • 负责人:
    郭诗翔
  • 依托单位:
基于神经网络压缩和可分级策略的HDR视频编码方法研究
CASAAV-HDR靶向基因组整合CaMKⅡ抑制肽AIP治疗心力衰竭的研究
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    郑焱江
  • 依托单位:
面向LDR立体显示的HDR立体视频版权保护研究
  • 批准号:
    61971247
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2019
  • 负责人:
    骆挺
  • 依托单位: