Annual Algorithms Workshop - Fall 2012, San Diego, California

标题：年度NSF/DTRA算法研讨会- 11月26日至29日，加州圣地亚哥日期：11月26日至29日地点：加州圣地亚哥网站：http://events.SignUp4.com/AlgorithmWorkshop新测序技术的日益可用性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。此外，来自所有图像来源的大规模数据集的可用性和泛滥增加了对创新算法开发的需求。海量的信息为数学科学界创造了需求和机会，以开发技术来控制和减少生物和化学攻击的威胁，并分析成像数据集。这项建议旨在为第五届ATD年度讲习班争取资金。这些研讨会的目的是为对NSF/DTRA/NGA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）、国家地理空间情报局（NGA）和国家科学基金会（NSF）已达成合作伙伴关系，支持开发下一代数学和统计算法，用于检测化学和生物威胁以及从图像中检测到的威胁。结果是数学科学部（DMS）的一个项目，被称为“ATD：威胁检测算法”。本提案旨在为参加第五届算法研讨会的学生和博士后研究人员提供旅行支持，以及确保会议支持和管理。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，除了成像之外，国家科学基金会还鼓励初级研究人员（特别是那些来自代表性不足的群体的研究人员）关注这些重要和及时的研究领域。

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.