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Workshop:Planning for a Cross-Cutting Initiative on Theory of Networked Computation

Workshop:Planning for a Cross-Cutting Initiative on Theory of Networked Computation
研讨会:网络计算理论跨领域计划的规划
批准号:
0601893
负责人:
Richard Karp
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-01-01 至 2007-06-30

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中文摘要
翻译
ACM理论计算机科学资助重要委员会建议为NSF在网络计算理论方面的跨领域倡议制定一项计划。该计划将涵盖以下主题:网络计算的复杂性理论;安全性、隐私性、可用性和可靠性;海量数据集;激励机制;以及科学领域的网络计算。该计划必须旨在吸引来自理论计算机科学社区和所有与网络计算相关的各种软件和系统学科的最佳研究人员。在准备提案时,我们必须获得所有这些领域的主要研究人员的建议和同意,以及CISE内这些领域的代表。为此目的,我们希望举办两次为期两天的规划讲习班,每次有30人参加。大约三分之一的参与者将被邀请为演讲者,三分之一将被邀请为讨论者,三分之一将从计算机科学社区的申请者中选出。研讨会的计划委员会将从我们的Sigact委员会中选出,由Joan Feigenbaum(主席)、Richard Karp和Christos Papadimitriou组成。
英文摘要
The ACM Sigact Committee on Funding for Theoretical Computer Science proposes to develop a plan for a cross-cutting NSF initiative on theory of networked computation. This initiative would cover such topics as: the complexity theory of networked computation; security, privacy, usability and reliability; massive data sets; incentives;and network computation in the sciences. The initiative must be designed to attract the best researchers from both the theoretical computer science community and all the various software and systems disciplines that bear on networked computation. In preparing the proposal it is essential that we gain the advice and concurrence of the leading researchers in all these fields, as well as the representatives of these fields within CISE. For this purpose we wish to hold two two-day planning workshops, with thirty participants in each. About a third of the participants will be invited speakers, a third will be invited discussants, and a third will be selected from applicants in the computer science community. The Program Committee for the workshops will be drawn from our Sigact committee and will consist of Joan Feigenbaum (chair), Richard Karp and Christos Papadimitriou.
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会议论文
Brain and Computation
  • 批准号:
    1744126
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.0万
  • 财政年份:
    2017
  • 负责人:
    Richard Karp
  • 依托单位:
Learning, Algorithm Design and Beyond Worst-Case Analysis
  • 批准号:
    1639629
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2016
  • 负责人:
    Richard Karp
  • 依托单位:
Computational Challenges in Machine Learning
  • 批准号:
    1639630
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2016
  • 负责人:
    Richard Karp
  • 依托单位:
Proving and Using Pseudorandomness
  • 批准号:
    1639631
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.0万
  • 财政年份:
    2016
  • 负责人:
    Richard Karp
  • 依托单位:
海外基金