Travel Support for the Annual Algorithms Workshop (Summer, 2011 and 2012)

新测序技术的日益普及大大降低了从生物威胁中获取基因组数据的成本。同样，最近化学样品分析新技术的发展，如气相色谱-质谱法（GC-MS）和液相色谱-多级质谱法（LC-MSn），增加了化学威胁数据的可用性和复杂性。海量的信息为数学科学界创造了开发控制和减少生物和化学攻击威胁的技术的需求和机会。该提案旨在为学生和博士后研究人员参加两次DTRA/NSF算法研讨会提供资金。第一次研讨会将于2011年6月6日至6月10日在波士顿举行，第二次研讨会将于2012年夏季举行。这些研讨会的目的是为对NSF/DTRA赞助计划感兴趣的科学家和数学家提供一个论坛，分享他们的成果，并促进创新算法开发专家和传感器研发社区专家之间的互动。美国国防威胁减少局（DTRA）和国家科学基金会（NSF）最近建立了伙伴关系，以支持开发用于检测化学和生物威胁的下一代数学和统计算法。结果是数学科学部（DMS）的一个新项目，被称为“ATD：威胁检测算法”。该提案旨在为参加2011年和2012年NSF/DTRA算法研讨会的学生和博士后研究人员提供旅行支持。提供这种类型的资金对于培养下一代数学科学家至关重要。特别是，通过为学生和博士后研究人员提供接触化学和生物威胁检测问题的机会，NSF为初级研究人员（特别是那些来自代表性不足的群体的研究人员）创造了激励，使他们专注于这一重要而及时的研究领域。

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. 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. This proposal aims at securing funding for the participation of student and postdoctoral researchers in two DTRA/NSF algorithms workshops. The first one of these workshops will be held in Boston, between June 6 and June 10, 2011, and the second will be held during the summer of 2012. The purpose of these workshops is to provide a forum for scientists and mathematicians that have interest in this NSF/DTRA 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) and the National Science Foundation (NSF) have recently formed a partnership to support the development of the next generation of mathematical and statistical algorithms for the detection of chemical and biological threats. The result is a new 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 the 2011 and 2012 NSF/DTRA Algorithms Workshops. 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, the NSF creates incentives for junior researchers (and specially those from underrepresented groups) to focus on this important and timely area of research.