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NRT-DESE: Training in Data-Driven Discovery - From the Earth and the Universe to the Successful Careers of the Future

NRT-DESE: Training in Data-Driven Discovery - From the Earth and the Universe to the Successful Careers of the Future
NRT-DESE:数据驱动发现培训 - 从地球和宇宙到未来成功的职业生涯
批准号:
1450006
负责人:
Vassiliki Kalogera
金额:
$296.66万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-01 至 2021-08-31

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英文摘要
This National Science Foundation Research Traineeship (NRT) award prepares master's and doctoral students at Northwestern University with the data-analysis skills to advance the research frontiers in astronomy, physics, and Earth science. While providing students with training in data-enabled science and engineering, the program promotes collaborations with research and education that will lead to the development of new data tools with broad applicability. Through internships, evidence-based curricular approaches, and capstone citizen science projects, trainees will develop the core competencies in demand by a wide range of employers. Trainees will learn how to effectively engage the public in discoveries on the solar system, stellar explosions, star clusters and galaxies, gravitational waves, and seismic waves. The citizen science projects will be used for innovative recruiting, strengthening the participation of the public and students from underrepresented groups. By diversifying the graduate student population and improving instruction and mentoring, the research will be contributing to a diverse, inclusive scientific workforce in academia and industry.This program will bridge computer science, electrical engineering, applied math, and statistics to physics, astronomy, and Earth sciences in order to develop students with the skills required to analyze datasets of unprecedented size and complexity. Trainees will be prepared for the technical challenges of extensive data generated at major research equipment and facilities, including Large Syntopic Survey Telescope, Advanced Laser Interferometer Gravitational-wave Observatory, and EarthScope. Trainees will learn data analytics and management, statistical methods, and image processing skills to ask new questions and choose the appropriate tools from the method disciplines and adapt them to solve problems in physics, astronomy, and Earth sciences. The program will also prepare students to work in a collaborative scientific community, advancing their leadership, communication, mentoring, and management skills. Internships at major research facilities, national laboratories, and the private sector will help students gain transferrable professional skills to pursue a range of career paths.
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Gravitational-Wave Data Analysis and Population Inference
  • 批准号:
    2207945
  • 项目类别:
    Standard Grant
  • 资助金额:
    $62.87万
  • 财政年份:
    2022
  • 负责人:
    Vassiliki Kalogera
  • 依托单位:
Gravitational-Wave Inference from Binary Compact Objects
  • 批准号:
    1912648
  • 项目类别:
    Standard Grant
  • 资助金额:
    $55.92万
  • 财政年份:
    2019
  • 负责人:
    Vassiliki Kalogera
  • 依托单位:
MRI: Acquisition of a High-Performance Computing Cluster to Unveil the Sources of Gravitational Waves
  • 批准号:
    1726951
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.99万
  • 财政年份:
    2017
  • 负责人:
    Vassiliki Kalogera
  • 依托单位:
Gravitational-Wave Inference from Binary Compact Objects
  • 批准号:
    1607709
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $48.0万
  • 财政年份:
    2016
  • 负责人:
    Vassiliki Kalogera
  • 依托单位:
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