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Creative Metaphors to Stimulate New Approaches to Visualizing, Understanding, and Rethinking Large Repositories of Scholarly Data

Creative Metaphors to Stimulate New Approaches to Visualizing, Understanding, and Rethinking Large Repositories of Scholarly Data
创造性隐喻激发可视化、理解和重新思考大型学术数据存储库的新方法
批准号:
0715303
负责人:
Katy Borner
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-06-01 至 2009-11-30

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中文摘要
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英文摘要
This project facilitates a unique collaboration among artists and scientists with the goal to develop, implement, and validate novel metaphors and approaches to access, manage, and communicate scholarly datasets. The results are expected to have transformative power in terms of the organization, analysis, and visualization of large-scale scholarly datasets. A sequence of three artists will work with scientists at the Information Visualization Laboratory and the Cyberinfrastructure for Network Science Center at Indiana University. The artists will work with database experts on parsing, structuring, and loading new datasets into a multi-terabyte database of scholarly data. The artists will play with a multitude of data analysis and visualization algorithms. They will participate in brainstorming, technical, and design sessions. Most importantly, the artists will be fully immersed as equal partners in different projects. Ethnographic studies will be conducted to capture, optimize, and communicate this unique collaboration. This is exploratory work as we cannot predict what will happen when artists are immersed in the Lab and are asked to rethink and reinvent the way in which research is conducted, the tools being used and designed by the researchers, and the means of communicating results.The broader impact of this research will be facilitated by three workshops that bring together artists and scientists with synergistic expertise in (2) the communication of science dynamics, (2) novel devices and interactivity techniques, and (3) dramatization of information. These workshops bring together scholars and artist that normally do not meet in a scholarly setting.
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Convergence Accelerator Phase I (RAISE): Analytics-Driven Accessible Pathways To Impacts-Validated Education (ADAPTIVE)
  • 批准号:
    1936656
  • 项目类别:
    Standard Grant
  • 资助金额:
    $99.5万
  • 财政年份:
    2019
  • 负责人:
    Katy Borner
  • 依托单位:
TRIPODS+X:RES:Collaborative Research: Multi-Level Graph Representation for Exploring Big Data
  • 批准号:
    1839167
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2018
  • 负责人:
    Katy Borner
  • 依托单位:
Data Visualization Literacy: Research and Tools that Advance Public Understanding of Scientific Data
  • 批准号:
    1713567
  • 项目类别:
    Standard Grant
  • 资助金额:
    $135.52万
  • 财政年份:
    2017
  • 负责人:
    Katy Borner
  • 依托单位:
Conference: SciSIP Conference on Modelling Science, Technology, and Innovation, May 2016
  • 批准号:
    1546824
  • 项目类别:
    Standard Grant
  • 资助金额:
    $4.88万
  • 财政年份:
    2015
  • 负责人:
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  • 依托单位:
海外基金