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I-Corps: Information Services for Biologically Inspired Design

I-Corps: Information Services for Biologically Inspired Design
I-Corps:生物启发设计的信息服务
批准号:
1263633
负责人:
Ashok Goel
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2013-03-31

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中文摘要
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英文摘要
Taking inspiration from nature to solve design problems has the potential to lead to major advances in almost every conceivable sphere of design and innovation. Thus, there is a growing global movement of designers interested in the practice of biologically inspired design (BID). However, the adoption and growth of the movement is limited by the fact that most designers are novices in biology. This causes two major issues: (i) slow, tedious search for biological analogues relevant to design problems, and (ii) slow, inaccurate and imprecise understanding of biological systems. Thus, there is a need for (a) information systems that provide access to biological knowledge from a design perspective, and (b) interactive tools that support the process of making biological analogies in conceptual design. Over the last several years, researchers have developed a suite of tools centered around an approach to semantically representing, indexing, retrieving, assessing, and delivering biological information relevant to design problems. This approach can form the basis for providing a range of information services to BID professionals and contribute to the growth of the movement. BID not only offers innovative solutions, but it can also help drive trends in sustainable design. Since nature does not take the "heat, beat, and treat" approach often taken by human produced technologies, innovation that mimics biological systems fosters sustainable design. Thus, in the long term, researchers believe that this project can help lead to measurable progress in sustainable design. The practice of BID is becoming widespread, encompassing emerging disciplines like biotechnology, robotics, nanotechnology, synthetic biology, etc. Thus, researchers expect that these information services can potentially accelerate the growth of emerging technologies in all these disciplines.
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AI Institute for Adult Learning and Online Education (ALOE)
  • 批准号:
    2247790
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1999.04万
  • 财政年份:
    2022
  • 负责人:
    Ashok Goel
  • 依托单位:
RI: Doctoral Student Consortium at the Seventh International Conference on Computational Creativity
  • 批准号:
    1740420
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2017
  • 负责人:
    Ashok Goel
  • 依托单位:
BD Spokes: SPOKE: SOUTH: Collaborative: Using Big Data for Environmental Sustainability: Big Data + AI Technology = Accessible, Usable, Useful Knowledge!
  • 批准号:
    1636848
  • 项目类别:
    Standard Grant
  • 资助金额:
    $75.46万
  • 财政年份:
    2016
  • 负责人:
    Ashok Goel
  • 依托单位:
RI: Doctoral Student Consortium at the Twenty Fourth International Conference on Case-Based Reasoning
  • 批准号:
    1637547
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2016
  • 负责人:
    Ashok Goel
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
  • 批准号:
    W2433169
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    HAOFEI ZHANG
  • 依托单位:
SCIENCE CHINA Information Sciences