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NSF Student Travel Grant for 2018 GRC on Scientific Methods in Cultural Heritage Research (SMCHR 2018)

NSF Student Travel Grant for 2018 GRC on Scientific Methods in Cultural Heritage Research (SMCHR 2018)
2018 年 GRC 文化遗产研究科学方法 NSF 学生旅行补助金 (SMCHR 2018)
批准号:
1833511
负责人:
Charles Johnson
金额:
$2.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-01 至 2019-04-30

项目摘要

项目成果

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中文摘要
翻译
技术艺术史是艺术史和保护研究中的一个新的分支学科,它应用科学和技术来理解和保护艺术品。只是在过去的十年里,这个社区才开始赋予图像处理和计算科学在其他科学和技术学科中的主要合作伙伴的地位,例如化学、材料科学、物理、成像技术和树状年代学,在日益专业化的技术艺术史中融合在一起。2018年7月22日至27日,第四届戈登文化遗产研究科学方法研究大会将在西班牙卡斯特尔德费尔斯举行,大会主题为《数据科学、退化科学与文化遗产保护策略的前沿应用》。该奖项旨在支持美国大学具有工程和科学背景(包括成像科学与技术、数字信号/图像处理或计算机科学的应用专业知识)的研究生参加2018年戈登文化遗产研究科学方法研究会议。将数字信号/图像处理以及电气工程和计算机科学的相关专业知识纳入技术艺术史的基础,有助于将艺术史与新兴的数字人文学科结合起来。从文字到图像的拓展是数字人文领域的一个活跃前沿。技术艺术史的计算部分,即计算艺术史的进步,很可能会催生“技术转移”到处理图像和物体的数字人文学科的其他分支。这些新开放的跨学科数字图像处理应用程序提出新的技术挑战的潜力,通过帮助--特别是年轻的--数字图像处理专家参与这一新的技术艺术史领域的奠基阶段而得到加强。另一个好处是公众接触到技术艺术史研究的扩展所带来的科学和技术,这一点从最近将技术信息及其计算机可视化纳入博物馆展览的热潮中可见一斑。对于工程、应用数学、计算机科学和其他科学的学生来说,这是一个无与伦比的机会,可以在这个年轻的领域开始努力将他们的图像处理和计算科学技能结合起来。他们的出席也将增加对计算方法在未来技术艺术史上的可行性的看法。学生们与具有未来合作潜力的领域专家建立的联系对双方来说都是无价的。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Technical art history is a new sub-discipline within art historical and conservation research that applies science and technology to the understanding and preservation of art objects. Only over the last decade has this community begun to accord image processing and computational science the status of a principal partner among the other scientific and technological disciplines,such as chemistry, materials science, physics, imaging technology, and dendrochronology, blended together in the growing specialization of technical art history. From July 22 to 27, 2018, the 4th Gordon Research Conference on Scientific Methods in Cultural Heritage Research with the theme "Leading Edge Applications of Data Science, Degradation Science, and Conservation Strategies for Cultural Heritage" will take place in Castelldefels, Spain. This award is to support graduate students at US universities with backgrounds in engineering and science that include applicable expertise in imaging science and technology, digital signal/image processing, or computer science - to attend the 2018 Gordon Research Conference on Scientific Methods in Cultural Heritage Research.The inclusion of digital signal/image processing and related expertise from electrical engineering and computer science in the foundation of technical art history helps align art history with the burgeoning digital humanities. The expansion from words to images is an active frontier in the digital humanities. Advances in the computational component of technical art history, i.e. computational art history, are very likely to spawn "technology transfer" to other branches of the digital humanities dealing with images and objects. The potential for these newly opened cross-disciplinary applications of digital image processing to raise new technical challenges is heightened by aiding the inclusion of - particularly young - digital image processing specialists in the foundation-building period of this new field of technical art history. Another benefit arises with the public's exposure to science and technology brought on by the expansion of technical art history research evident in the recent upswing in the incorporation of technical information and their computer-based visualizations into museum exhibitions. This is an unparalleled opportunity for students in engineering, applied mathematics, computer science, and other sciences to be present at the beginning of this young field's effort to incorporate their image processing and computational science skills. Their presence at this conference will also add to the perception of viability of computational methods in the future of technical art history. The connections the students make with domain experts with the potential for future collaboration are priceless to both sides.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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REU Site: Matrix Analysis, Combinatorics, and Applications
  • 批准号:
    1757603
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2018
  • 负责人:
    Charles Johnson
  • 依托单位:
EAGER: Automated Watermark and Moldmate Identification
  • 批准号:
    1822007
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2018
  • 负责人:
    Charles Johnson
  • 依托单位:
Student Support for Attending Gordon Research Seminar and Conference (SMCHR 2016)
  • 批准号:
    1645564
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.6万
  • 财政年份:
    2016
  • 负责人:
    Charles Johnson
  • 依托单位:
REU Site: Matrix Analysis, its Applications and Related Combinatorics
  • 批准号:
    0751964
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $28.8万
  • 财政年份:
    2008
  • 负责人:
    Charles Johnson
  • 依托单位:
海外基金