课题基金 / 基金详情

I-Corps: Workforce development program to complete data wrangling and data labeling tasks

I-Corps: Workforce development program to complete data wrangling and data labeling tasks
I-Corps:完成数据整理和数据标记任务的劳动力发展计划
批准号:
2151840
负责人:
Elizabeth DiSalvo
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-01-15 至 2022-06-30

项目摘要

项目成果

Elizabeth DiSalvo的其他基金

相似基金

相关文献

中文摘要
翻译
这个I-Corps项目的更广泛的影响/商业潜力是开发一个可复制的系统,用于更容易获得和更合适的数字工具,这些工具构成了一项服务的基础,雇用没有受过多少计算机教育的人从事初级技术工作。在智能社区中,数据收集和使用已经变得无处不在,但获得负担得起且道德的数据劳动力的机会有限。在这个I-Corps项目中,目标是调查以客户为中心的商业模式,以提供负担得起且合乎道德的数据服务。这项潜在的服务将通过提供工作来帮助来自弱势群体的个人发展技术技能,从而扩大人们对计算机的参与。通过专注于数据工作,参与不仅包括参与计算,还包括劳动力发展,以填补当地数据专业知识的空白。拟议的服务还将满足公民和非营利部门的需求,为这些组织提供低成本和道德的数据清理和准备。这可能使服务社区的组织能够在决策制定中利用数据。该计划是探索客户需求、商业模式和机会,将这种商业模式特许经营到美国各地的社区。它有潜力为农村和城市地区的社区服务——为公民参与的组织提供工作、计算机职业和数据服务的机会。这个I-Corps项目是基于计算数字工具的开发,包括指导方针,这些指导方针易于访问,适合没有计算经验的人,以创建可复制的数据工作服务程序。通过设计和部署不同的数据学习途径,可以有目的地组织工作背景下的学习,使代表性不足的青年从入门级参与数据科学和公民参与,转向更全面地参与数据科学和公民领域。拟议的工具和设计指南将让工作人员参与开发,以帮助确保更适合入门级数据工作的数字工具。重要的是,这是通过与目标社区以及更大的数字公民背景相关的方式完成的,以确定对进一步提高数字和公民素养的计算数据工具的需求。将分析现有的数据工具,并编制一份索引和可检索的数据工作工具目录。根据这一分析,可以确定所需工具的差距。将对这些数据工具的原型进行测试,以不断改进设计,以满足服务不足社区的需求。该奖项反映了美国国家科学基金会的法定使命,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。
英文摘要
The broader impact/commercial potential of this I-Corps project is the development of a replicable system for more accessible and appropriate digital tools that forms the basis of a service that employs people with little computing education in entry-level technical work. Data collection and use has become ubiquitous in smart communities, but the access to affordable and ethical data workforce is limited. In this I-Corps project, the goal is to investigate customer-centered business models for providing affordable and ethical data services. This potential service will broaden participation in computing by providing work that helps individuals from underrepresented groups develop technical skills. By focusing on data work, participation includes not only engagement with computing but also workforce development to fill a gap for local data expertise. The proposed service also will serve a need in civic and non-profit sectors, providing low cost and ethical data cleaning and preparation for these organizations. This may enable organizations that are serving communities to leverage data in decision making. The plan is to explore client needs, business models, and opportunities to franchise this business model to communities across the United States. There is potential for to serve communities in both rural and urban areas – providing jobs, opportunities for computing careers, and data services to civically engaged organizations. This I-Corps project is based on the development of computational digital tools, including guidelines that are accessible and appropriate for people with little computing experience, to create replicable data work service programs. Through the design and deployment of different data learning pathways, learning in the context of work may be purposefully structured to move underrepresented youth from entry level participation with data science and civic engagement to fuller participation in both data science and civic domains. The proposed tools and design guidelines will involve workers in the development to help ensure more appropriate digital tools for entry-level data work. Importantly, this is accomplished in ways relevant to the target communities as well as to the larger context of digital civics to identify needs for computational data tools that further digital and civic literacy. Existing data tools will be analyzed and an indexed and searchable catalog of data work tools will be developed. Based on this analysis, gaps in tools that are needed may be identified. Prototypes of these data tools will be tested to iteratively improve the design to meet the needs of underserved communities.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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Creative Computing Cookbook: Grounding Artistic Computing in the Learning Sciences
  • 批准号:
    2241810
  • 项目类别:
    Standard Grant
  • 资助金额:
    $13.5万
  • 财政年份:
    2023
  • 负责人:
    Elizabeth DiSalvo
  • 依托单位:
SCC-IRG Track 2: Building Smart Community Capacity
  • 批准号:
    1951818
  • 项目类别:
    Standard Grant
  • 资助金额:
    $149.99万
  • 财政年份:
    2020
  • 负责人:
    Elizabeth DiSalvo
  • 依托单位:
S&AS:INT:COLLAB:Do the Right Thing: Competing Ethical Frameworks Mediated by Moral Emotions in Human-robot Interaction
  • 批准号:
    1848974
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2019
  • 负责人:
    Elizabeth DiSalvo
  • 依托单位:
EAGER: Leveraging Behavioral and Physiological Feedback in the Design of Affect-Sensitive Distance Learning
  • 批准号:
    1842693
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2018
  • 负责人:
    Elizabeth DiSalvo
  • 依托单位:
海外基金