Workshop: Confronting and Mitigating the Negative Broader Impacts of Computing

研讨会:面对和减轻计算的更广泛的负面影响

基本信息

  • 批准号:
    1841993
  • 负责人:
  • 金额:
    $ 5万
  • 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
  • 起止时间:
    2018-10-01 至 2021-09-30
  • 项目状态:
    已结题

项目摘要

This workshop seeks to produce transformative improvements in the computing research community's ability to understand, predict, and communicate the impacts of its contributions, both positive and negative. It also aims to identify the most effective means of incentivizing research that minimizes negative impact. In the context of current public debates about the human consequences of new information technologies, major computer science professional organizations have begun discussing how to find ways to bend the arc of computing innovation towards fewer negative impacts and more positive impacts. This workshop aims to be a broader impacts catalyst, rendering the broader impacts of many funded computing projects substantially more positive for the United States and the world than they would have been otherwise. This workshop has three co-equal objectives: (1) Determine the most effective approaches for using the research evaluation process to confront and mitigate the negative impacts of computing research, (2) determine additional approaches that can be effective in confronting and mitigating these negative impacts, and (3) improve our capacity to understand and predict computing research impact through visioning activities and the development of a research agenda. Workshop results, including articles, technical resources, and other artifacts, will be shared with the wider community, providing a formal framework for research development, but also informally helping members of the computing community articulate better broader impacts statements by providing education about how to think about the impacts of one's research. Workshop participants will be comprised of both computing researchers and experts on the societal impacts of new technologies.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.
本次研讨会旨在产生变革性的改进,在计算研究社区的能力,以理解,预测和沟通的影响,其贡献,积极和消极的。它还旨在确定激励研究的最有效手段,以最大限度地减少负面影响。在当前关于新信息技术对人类的影响的公开辩论的背景下,主要的计算机科学专业组织已经开始讨论如何找到方法来弯曲计算创新的弧线,使其产生更少的负面影响和更积极的影响。 本次研讨会旨在成为一个更广泛的影响催化剂,使许多资助的计算项目的更广泛的影响,大大更积极的美国和世界比他们本来。 本次研讨会有三个共同的目标:(1)确定使用研究评估过程来应对和减轻计算研究负面影响的最有效方法,(2)确定可以有效应对和减轻这些负面影响的其他方法,以及(3)通过愿景活动和研究议程的发展,提高我们理解和预测计算研究影响的能力。研讨会的结果,包括文章,技术资源和其他工件,将与更广泛的社区共享,为研究开发提供正式的框架,但也通过提供有关如何思考研究影响的教育,非正式地帮助计算社区的成员更好地表达更广泛的影响声明。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Brent Hecht其他文献

Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
早期为企业信息工作者提供的基于法学硕士的工具可能会显着提高生产力
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Alexia Cambon;Brent Hecht;Donald Ngwe;Sonia Jaffe;Amy Heger;Mihaela Vorvoreanu;Sida Peng;Jake Hofman;Alex Farach;Margarita Bermejo;Eric Knudsen;James Bono;Hardik Sanghavi;S. Spatharioti;David M. Rothschild;Daniel G. Goldstein;Eirini Kalliamvakou;Peter Cihon;Mert Demirer;Michael Schwarz;J. Teevan
  • 通讯作者:
    J. Teevan
LLM-based and Retrieval-Augmented Control Code Generation
基于 LLM 和检索增强的控制代码生成
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Alexia Cambon;Brent Hecht;Donald Ngwe;Sonia Jaffe;Amy Heger;Mihaela Vorvoreanu;Sida Peng;Jake Hofman;Alex Farach;Margarita Bermejo;Eric Knudsen;James Bono;Hardik Sanghavi;S. Spatharioti;David M. Rothschild;Daniel G. Goldstein;Eirini Kalliamvakou;Peter Cihon;Mert Demirer;Michael Schwarz;J. Teevan
  • 通讯作者:
    J. Teevan

Brent Hecht的其他文献

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{{ truncateString('Brent Hecht', 18)}}的其他基金

WORKSHOP: Doctoral Consortium at HCOMP 2017
研讨会:HCOMP 2017 博士联盟
  • 批准号:
    1748375
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CAREER: Understanding and Addressing Geographic Inequalities in Location-Aware Technologies
职业:理解和解决位置感知技术中的地理不平等
  • 批准号:
    1707296
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
CAREER: Understanding and Addressing Geographic Inequalities in Location-Aware Technologies
职业:理解和解决位置感知技术中的地理不平等
  • 批准号:
    1552955
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
CHS: Small: Collaborative Research: Human-Centered Semantic Relatedness
CHS:小型:协作研究:以人为中心的语义相关性
  • 批准号:
    1707319
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
III: Small: Collaborative Research: Automatically Generating Contextually-Relevant Visualizations
III:小:协作研究:自动生成上下文相关的可视化
  • 批准号:
    1702440
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CHS: Small: Collaborative Research: Human-Centered Semantic Relatedness
CHS:小型:协作研究:以人为中心的语义相关性
  • 批准号:
    1526988
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
III: Small: Collaborative Research: Automatically Generating Contextually-Relevant Visualizations
III:小:协作研究:自动生成上下文相关的可视化
  • 批准号:
    1421655
  • 财政年份:
    2014
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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