Convergence Accelerator Phase I (RAISE): Connecting Indiana's Learn-And-Work Ecosystem

融合加速器第一阶段 (RAISE):连接印第安纳州的学习和工作生态系统

基本信息

  • 批准号:
    1937118
  • 负责人:
  • 金额:
    $ 40.48万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-10-01 至 2020-06-30
  • 项目状态:
    已结题

项目摘要

The NSF Convergence Accelerator supports team-based, multidisciplinary efforts that address challenges of national importance and show potential for deliverables in the near future. The broader impact/potential benefit of this Convergence Accelerator Phase I project is to enable American workers to successfully navigate their career by accessing and sharing information pertaining to credentials and jobs using connected data exchanges. Exchanging career goals, records, credentials, competencies, assessments, job descriptions, and pathways as machine-actionable data will be foundational to realizing this goal. Because the education and employment sectors have many different documentation policies, processes, roles, and governance, this project engages a wide range of experts. The leadership team represents multiple disciplines including education, government, business, computer science, philanthropy, policy, educational psychology, and ethics. Indiana is an ideal context for this research because multiple related initiatives are actively but independently being developed across the state. Phase I activities will build an extensive partner network to document how each initiative's data exchanges can connect in support of particular use cases. Identified data gaps limit the value of these initiatives and will be added to a roadmap for eliminating technical barriers. Similar to how connected data exchanges have rapidly improved the travel industry, we believe state-level governance of key data exchanges will accelerate innovative applications for workers and help other state leaders advance similar initiatives.This Convergence Accelerator Phase I project focuses on a state-level governance gap concerning the connections among key data exchanges supporting students, education providers, workers, and employers. In Indiana, as in other states, these data exchanges are at varying points of development and adoption. Ensuring these data exchanges are sufficiently connected to support key use cases is dependent upon voluntary efforts and weakly instantiated into the business processes of specification organizations themselves. As industries increasingly become "information-based", competing business models have the potential to delay or even derail innovative applications and/or inadvertently centralize control of key data exchanges. Our research objective is to advance knowledge concerning how states could better address these problems via team-building activities. Specifically, data experts will be convened to define evaluation criteria for analyzing data exchange information. Indiana education providers and employers will also be engaged directly via two multi-disciplinary workshops to document important Indiana use cases and supportive data exchanges, such as searching for a certificate program based on a competency required in a job description. As a result, the project team will create a prioritized roadmap, a toolkit for state leaders, and a Phase II proposal for connecting Indiana?s learn and work ecosystem.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.
NSF融合加速器支持以团队为基础的多学科努力,以应对国家重要性的挑战,并在不久的将来展示可交付成果的潜力。 这个融合加速器第一阶段项目的更广泛的影响/潜在好处是使美国工人能够通过使用连接的数据交换访问和共享与证书和工作有关的信息来成功地驾驭他们的职业生涯。将职业目标、记录、证书、能力、评估、工作描述和途径作为机器可操作的数据进行交换将是实现这一目标的基础。由于教育和就业部门有许多不同的文件政策,流程,角色和治理,该项目吸引了广泛的专家。领导团队代表多个学科,包括教育,政府,商业,计算机科学,慈善事业,政策,教育心理学和伦理学。印第安纳州是这项研究的理想背景,因为多个相关的举措正在积极但独立地在全州范围内发展。第一阶段的活动将建立一个广泛的合作伙伴网络,以记录每个计划的数据交换如何连接,以支持特定的用例。已确定的数据差距限制了这些举措的价值,并将被添加到消除技术障碍的路线图中。与互联数据交换如何迅速改善旅游业类似,我们相信州一级对关键数据交换的治理将加速员工的创新应用,并帮助其他州领导人推进类似的举措。这个融合加速器第一阶段项目关注的是州一级的治理差距,涉及支持学生、教育提供者、工人和雇主的关键数据交换之间的连接。在印第安纳州,与其他州一样,这些数据交换正处于不同的发展和采用阶段。确保这些数据交换充分连接以支持关键用例取决于自愿努力,并弱实例化到规范组织本身的业务流程中。随着各行业日益“以信息为基础”,相互竞争的商业模式有可能推迟甚至破坏创新应用程序,并/或无意中集中控制关键数据交换。我们的研究目标是推进有关国家如何通过团队建设活动更好地解决这些问题的知识。具体而言,将召集数据专家,以确定分析数据交换信息的评估标准。印第安纳州的教育机构和雇主也将通过两个多学科研讨会直接参与,以记录重要的印第安纳州用例和支持性数据交换,例如根据工作描述中所需的能力搜索证书课程。因此,项目小组将创建一个优先路线图,一个工具包,为国家领导人,和第二阶段的建议,连接印第安纳州?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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Jeffrey Grann其他文献

Jeffrey Grann的其他文献

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{{ truncateString('Jeffrey Grann', 18)}}的其他基金

RAPID: Increasing Healthcare Credential Open Data in Response to COVID-19
RAPID:增加医疗保健凭证开放数据以应对 COVID-19
  • 批准号:
    2029584
  • 财政年份:
    2020
  • 资助金额:
    $ 40.48万
  • 项目类别:
    Standard Grant

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  • 批准号:
    62002350
  • 批准年份:
    2020
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目

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