GIG: Center for Statistics in Science and Technology Group Infrastructure Grant

小行星9510511 科学技术统计中心基础设施补助金。科学技术统计中心（CSST）是加州大学新成立的研究和培训中心。戴维斯，其目的是支持和促进跨学科研究和研究生培训，涉及统计和数学科学的相关领域，以及物理，生物和地球科学。 最初的教师成员包括统计学家，连续和组合优化方法的研究人员，以及来自其他科学领域（地质学和毒理学）的研究人员，其中有现有的合作。 随着中心的发展和跨学科活动的增加，其他研究人员将被纳入中心。 科学和社会科学委员会的成立是由于观察到，越来越多的科学问题的成功攻击涉及不同专业的调查人员之间的合作。 一种特别有吸引力的合作类型是数学科学家和数学方法应用领域的研究人员之间的合作。 该中心在该项目下的一项主要活动是支持统计学和数学科学相关领域的研究生从事与地球科学、毒理学和其他科学领域有关的跨学科项目。 这一点很重要，因为在这种跨学科的伙伴关系中工作的能力是大学和工业环境中高度重视的一个属性，因为为这种团队做出贡献所需的技能不会自行发展，而是需要作为研究生教育的一部分有意识地培养。 CSST在该项目下的其他活动将是举办研讨会和专题讨论会，并使用先前在NSF和NIH支持下获得的设备为跨学科研究项目提供计算设施。

9510511 Rocke Center for Statistics in Science and Technology Group Infrastructure Grant. The Center for Statistics in Science and Technology (CSST) is anewly-formed research and training center at U.C. Davis, whose purpose is to support and facilitate interdisciplinary research and graduate training involving statistics and related areas of mathematical sciences together with physical, biological, and earthsciences. The initial faculty membership includes statisticians, researchers in continuous and combinatorial optimization methods, and researchers from other scientific areas (Geology and Toxicology) in which there are existing collaborations. Other investigators will be included in the Center as it develops, and as its interdisciplinary activities increase. The establishment of CSST was prompted by the observation that, increasingly, successful attacks on scientific problems involve cooperation between investigators with different specializations. A particularly attractive type of collaboration is between mathematical scientists, and researchers in areas of application of mathematical methods. A major activity of the Center under this project will be to support graduate students in statistics and related areas of the mathematical sciences to work on interdisciplinary projects with geosciences, toxicology, and other scientific areas. This is important because the ability to work in such cross- disciplinary partnerships is an attribute highly valued both in university and industrial settings, and because the skills needed to contribute to such teams do not develop of themselves, but need to be consciously nurtured as a part of graduate education. Other activities of CSST under this project will be to conduct seminars and symposia, and provide a computational facility for cross-disciplinary research projects using equipment previously acquired with NSF and NIH support.