Convergence Accelerator Phase I: EAGER: Designing Curriculum for Convergence Accelerator Pilot and Workshops
Convergence Accelerator Phase I: EAGER: Designing Curriculum for Convergence Accelerator Pilot and Workshops
批准号:
1947215
负责人:
Alvand Hajizadeh
金额:
$30.0万
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
项目状态:
已结题
起止时间:
2019-09-01 至 2020-08-31
中文摘要
拟议的项目将支持NSF融合加速器计划的关键目标,如2019年3月15日亲爱的同事信中所述:“加速在国家重要领域的使用启发式融合研究,以及(ii)围绕三个融合主题(轨道)中的探索性,潜在高风险提案启动融合团队建设能力。“EAGER提案代表了与NSF和43个融合加速器试点团队合作的探索性努力,以探索和开发适合多学科,多机构融合研究团队的新定制课程,这些研究团队对国家重要性的重大挑战问题进行了使用启发式研究。 跨队列合作对于确保最终交付成果不仅仅是单个项目孤立工作的努力至关重要。拟议的项目将支持第一阶段试点团队围绕融合加速器中具有国家重要性的领域的解决方案进行团队能力建设,包括开放知识网络,人工智能和工人的再培训和技能提升,以及国家人才生态系统。该项目还将确定最佳实践和经验教训,为NSF未来在本项目和其他潜在项目中的工作提供信息,增强融合加速器模型的影响,以实现对未来国家重要领域的预期影响。该奖项反映了NSF的法定使命,并被认为值得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来支持。
英文摘要
The proposed project would support the key goals of the NSF Convergence Accelerator program as stated in the March 15, 2019 Dear Colleague Letter: "to accelerate use-inspired convergence research in areas of national importance, and (ii) initiate convergence team-building capacity around exploratory, potentially high-risk proposals in three convergence topics (tracks)." The EAGER proposal represents an exploratory effort to work with NSF and the 43 Convergence Accelerator Pilot teams to explore and develop new customized curriculum suitable for multi-disciplinary, multi-institutional convergence research teams doing use-inspired research on grand challenge problems of national importance. Cross-cohort collaboration is essential to assuring that the end deliverables are not just the efforts of a single project working in isolation.The proposed project would support team building capacity among Phase I pilot teams around solutions in areas of high national importance in the Convergence Accelerator including Open Knowledge Network, Artificial Intelligence and the reskilling and upskilling of workers, and the National Talent Ecosystem. This project will also identify best practices and lessons learned that will inform NSF's future work in this and potentially other programs, enhancing the impact of the Convergence Accelerator model to achieve desired impacts on future areas of national importance.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.
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国内基金
海外基金
大规模非确定图数据分析及其Multi-Accelerator并行系统架构研究
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批准号:62002350
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项目类别:青年科学基金项目
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资助金额:24.0万元
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批准年份:2020
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负责人:张珩
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依托单位: