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Annual Algorithms Workshop - Fall 2012, San Diego, California

Annual Algorithms Workshop - Fall 2012, San Diego, California
年度算法研讨会 - 2012 年秋季,加利福尼亚州圣地亚哥
批准号:
1308074
负责人:
Abel Rodriguez
金额:
$4.33万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-11-15 至 2013-10-31

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英文摘要
Title: Annual NSF/DTRA Algorithms Workshop - November 26 to 29, San Diego, CaliforniaDates: November 26-29, 2012Location: San Diego CaliforniaWebsite: http://events.SignUp4.com/AlgorithmWorkshop The increasing availability of new sequencing technologies has dramatically reduced the cost of obtaining genomic data from biological threats. Similarly, the recent development of new technologies for the analysis of chemical samples, such as gas chromotography-mass spectrometry (GC-MS) and liquid chromotography-multi-stage mass spectrometry (LC-MSn), has increased the availability and complexity of data on chemical threats. Furthermore, the availability and deluge of large scale data sets from all sources of images has increased the need for inovative algorithm development. This deluge of information creates the need and the opportunity for the mathematical sciences community to develop technology for controlling and reducing the threat from biological and chemical attacks and the analysis of imaging data sets. This proposal aims at securing funding for the 5th annual ATD workshop. The purpose of these workshops is to provide a forum for scientists and mathematicians who have an interest in this NSF/DTRA/NGA sponsored program to share their results, and to foster interaction between experts in innovative algorithm development and experts in the sensor R&D community. The Defense Threat Reduction Agency (DTRA), The National Geospatial Intelligence Agency (NGA) and the National Science Foundation (NSF) have formed a partnership to support the development of the next generation of mathematical and statistical algorithms for the detection of chemical and biological threats and threats detected from images. The result is a program within the Division of Mathematical Sciences (DMS), which is called "ATD: Algorithms for Threat Detection". This proposal seeks to secure travel support for students and postdoctoral researchers who will participate in this 5th Algorithms Workshops in addition to securing conference support and management. Providing this type of funding is critical for the training of the next generation of mathematical scientists. In particular, by providing opportunities for students and postdoctoral researchers to be exposed to problems of chemical and biological threat detection in addition to imaging the NSF creates incentives for junior researchers (and specially those from underrepresented groups) to focus on these important and timely areas of research.
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Collaborative Research: Pacific Alliance for Low-Income Inclusion in Statistics & Data Science
  • 批准号:
    2221335
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $110.92万
  • 财政年份:
    2022
  • 负责人:
    Abel Rodriguez
  • 依托单位:
ATD: Relational Point Process Models: Theory, Methods, and Applications
  • 批准号:
    2114727
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.54万
  • 财政年份:
    2020
  • 负责人:
    Abel Rodriguez
  • 依托单位:
ATD: Relational Point Process Models: Theory, Methods, and Applications
  • 批准号:
    2027846
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.54万
  • 财政年份:
    2020
  • 负责人:
    Abel Rodriguez
  • 依托单位:
ATD: Understanding and Predicting User Mobility through Bayesian Models
  • 批准号:
    2114729
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.22万
  • 财政年份:
    2020
  • 负责人:
    Abel Rodriguez
  • 依托单位:
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