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CyberSEES:Type 2: Collaborative Research: Combining Experts and Crowds to Address Challenging Societal Problems

CyberSEES:Type 2: Collaborative Research: Combining Experts and Crowds to Address Challenging Societal Problems
Cyber​​SEES:类型 2:协作研究:将专家和大众结合起来解决具有挑战性的社会问题
批准号:
1442840
负责人:
Jeffrey Nickerson
金额:
$39.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-01-15 至 2019-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
From writing an encyclopedia, to developing software, to folding proteins, more and more problems that used to be solved by small groups of experts are now being solved by much larger "crowds" of people using the Internet. For many complex problems, however, the creativity, energy, and diversity that crowds bring are not enough to solve the problems. Various kinds of specialized knowledge that only experts have are also needed. This project focuses on creating the cyber-infrastructure to combine these two kinds of resources--experts and crowds--in solving complex societal problems. The project will address this question in the context of what many people believe is one of humanity?s most important sustainability challenges today: how to deal with trending environmental dynamics. Much of the proposed work includes developing and testing ideas on the team's CoLab, a software platform and online community focused on this issue, which was developed with prior NSF and other support. More specifically, the project will investigate how experts and crowds can work together to perform four key problem-solving activities: decomposing the overall problem into smaller pieces, generating potential solutions for the pieces, integrating the pieces into overall solutions, and evaluating the solutions. For example, the project will study (a) whether crowds generate better ideas when they start with "seed" ideas from experts, (b) how certain kinds of expert knowledge can be encoded in computer simulation models that crowds can use on their own, and (c) to what degree expert evaluations can be approximated by combinations of semi-experts, novices, and software tools. The results are expected to include (a) open source software applicable to many sustainability and other challenges, (b) a set of processes and methodologies with which communities can effectively use this software, and (c) a diverse community of tens of thousands of people using this approach to address issues associated with trending environmental changes. The primary intellectual contribution of the proposed work will be better processes and computer tools for creating on-line communities that combine the best features of both experts and crowds to solve complex societal problems. Many aspects of the technical and organizational approaches to be studied should be of interest to researchers in a variety of fields, including collective intelligence, computer-supported cooperative work, human computer interaction, computer science, engineering, organizational design, psychology, and public policy. By engaging students and the general public to come up with credible ideas for what people can do about complex problems, this project will help educate a much broader community about the actual issues involved. If successful, the work will likely lead to the development of better approaches for complex societal problems than any that would otherwise have been developed. Many aspects of the results will be applicable to a wide range of domains such as education, healthcare, and business problems like strategic planning and budgeting.
期刊论文(10)
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科研奖励(0)
会议论文
DOI: 10.17705/1jais.00632
发表时间: 2020-09
期刊: J. Assoc. Inf. Syst.
影响因子: --
作者: [Yue Han;Pınar Öztürk;J. Nickerson]
通讯作者: Yue Han;Pınar Öztürk;J. Nickerson
A Wikipedia-based Method to Support Creative Idea Generation: The Role of Stimulus Relatedness
基于维基百科的支持创意产生的方法:刺激相关性的作用
DOI: 10.1080/07421222.2019.1661095
发表时间: 2019
期刊: Journal of Management Information Systems
影响因子: 7.7
作者: [Wang, Kai, Nickerson, Jeffrey V.]
通讯作者: Nickerson, Jeffrey V.
Collection Innovation
集合创新
DOI: 10.1145/3311957.3358608
发表时间: 2019
期刊: CSCW’19 Companion
影响因子: --
作者: [Gerber, Elizabeth M., Nickerson, Jeffrey V., Dontcheva, Mira, Dabbish, Laura, Hill, Charlie]
通讯作者: Hill, Charlie
Implicit Coordination in Peer Production Networks
对等生产网络中的隐式协调
DOI: --
发表时间: 2018
期刊: Collective Intelligence
影响因子: --
作者: [Nickerson, J. V., Zheng, L., Bouwense, C., Mai, F., Gordan, D. M.]
通讯作者: Gordan, D. M.
9
    Collaborative research: FW-HTF-R: The future of news work: Human-technology collaboration for journalistic research and narrative discovery
    • 批准号:
      2128906
    • 项目类别:
      Standard Grant
    • 资助金额:
      $53.6万
    • 财政年份:
      2021
    • 负责人:
      Jeffrey Nickerson
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    CHS: Small: Exploring Design and Evaluation Space through Crowds and Communities
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      1909803
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      Continuing Grant
    • 资助金额:
      $49.99万
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      2019
    • 负责人:
      Jeffrey Nickerson
    • 依托单位:
    CHS: Small: Collaborative Research: Understanding and Improving Implicit Coordination in Peer Production Networks
    • 批准号:
      1717473
    • 项目类别:
      Standard Grant
    • 资助金额:
      $36.38万
    • 财政年份:
      2017
    • 负责人:
      Jeffrey Nickerson
    • 依托单位:
    CHS: Small: Collective Design through Remixing
    • 批准号:
      1422066
    • 项目类别:
      Standard Grant
    • 资助金额:
      $49.92万
    • 财政年份:
      2014
    • 负责人:
      Jeffrey Nickerson
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    • 资助金额:
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    智能型Type-I光敏分子构效设计及其抗耐药性感染研究
    • 批准号:
      22207024
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      2022
    • 负责人:
      赵琦
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    TypeⅠR-M系统在碳青霉烯耐药肺炎克雷伯菌流行中的作用机制研究
    • 批准号:
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    • 项目类别:
      面上项目
    • 资助金额:
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    • 负责人:
      蒋晓飞
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    替加环素耐药基因 tet(A) type 1 变异体在碳青霉烯耐药肺炎克雷伯菌中的流行、进化和传播
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      LY22H200001
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      省市级项目
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      2021
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