EAGER: Defining and Measuring University Economic Engagement: The Association of Public and Land Grant Universities Innovation and Economic Prosperity (APLU-IEP) Data Platform
EAGER:定义和衡量大学经济参与度:公立大学和赠地大学创新与经济繁荣协会 (APLU-IEP) 数据平台
基本信息
- 批准号:1738956
- 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:2017
- 资助国家:美国
- 起止时间:2017-07-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The Association of Public and Land-grant Universities (APLU) has offered a voluntary program to encourage university community engagement since 2012. To participate in the APLU program, universities conduct an intensive self-study process that results previously unavailable information. The program has amassed applications containing descriptive information about the structures, processes, and outputs of university economic engagement. These application documents represent a valuable source of information to help us better understand how universities engage with their communities to foster economic prosperity, how they view their role in their innovation ecosystems and how they measure their progress in economic engagement. Defining, measuring and advancing university economic engagement is a potentially transformative research initiative for moving forward science and innovation policy that will result in a wide-range of regional and national societal benefits. This project makes the APLU community engagement information readily accessible to researchers. The collection of application documents will be converted into a coherent, well-structured dataset that is easy to access and conducive to further qualitative and quantitative research explorations. The project identifies broad data trends and types of metrics used by universities to assess engagement. This effort will leverage this rich data to advance our knowledge and understanding, and spur potentially transformative research in university economic engagement.
自2012年以来,公立和赠地大学协会(APLU)提供了一个自愿计划,以鼓励大学社区参与。为了参加APLU计划,大学进行了一次密集的自学过程,从而获得了以前无法获得的信息。该计划已经积累了包含有关大学经济参与的结构,过程和产出的描述性信息的应用程序。这些申请文件是一个有价值的信息来源,有助于我们更好地了解大学如何与社区合作以促进经济繁荣,如何看待自己在创新生态系统中的作用,以及如何衡量自己在经济参与方面的进展。定义、衡量和推进大学经济参与是一项潜在的变革性研究举措,有助于推进科学和创新政策,从而带来广泛的区域和国家社会效益。该项目使研究人员能够随时获得APLU社区参与信息。申请文件的收集将被转换成一个连贯的,结构良好的数据集,易于访问,有利于进一步的定性和定量研究探索。该项目确定了大学用于评估参与度的广泛数据趋势和指标类型。这一努力将利用这些丰富的数据来促进我们的知识和理解,并刺激大学经济参与的潜在变革性研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ivan Garibay其他文献
Accelerating green growth: The effect of technological innovation on production capabilities spillovers in developing economies
加速绿色增长:技术创新对发展中经济体生产能力溢出的影响
- DOI:
10.1016/j.jclepro.2024.144159 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:10.000
- 作者:
Hanin Alhaddad;Seyyedmilad Talebzadehhosseini;Ivan Garibay - 通讯作者:
Ivan Garibay
Erratum to: Dario Floreano and Claudio Mattiussi: Bio-inspired artificial intelligence: theories, methods, and technologies
- DOI:
10.1007/s10710-010-9123-0 - 发表时间:
2010-09-02 - 期刊:
- 影响因子:0.900
- 作者:
Ivan Garibay - 通讯作者:
Ivan Garibay
Controlling the Misinformation Diffusion in Social Media by the Effect of Different Classes of Agents
通过不同类别代理的作用控制社交媒体中的错误信息扩散
- DOI:
10.48550/arxiv.2401.11524 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Ali Khodabandeh Yalabadi;Mehdi Yazdani;Sina Abdidizaji;Ivan Garibay;O. Garibay - 通讯作者:
O. Garibay
Agent-Based Modeling of C. Difficile Spread in Hospitals: Assessing Contribution of High-Touch vs. Low-Touch Surfaces and Inoculations' Containment Impact
基于主体的艰难梭菌在医院传播的建模:评估高接触与低接触表面的贡献以及接种的遏制影响
- DOI:
10.48550/arxiv.2401.11656 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Sina Abdidizaji;Ali Khodabandeh Yalabadi;Mehdi Yazdani;O. Garibay;Ivan Garibay - 通讯作者:
Ivan Garibay
Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intelligence: theories, methods, and technologies
- DOI:
10.1007/s10710-010-9104-3 - 发表时间:
2010-04-07 - 期刊:
- 影响因子:0.900
- 作者:
Ivan Garibay - 通讯作者:
Ivan Garibay
Ivan Garibay的其他文献
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{{ truncateString('Ivan Garibay', 18)}}的其他基金
ART: Research to Solutions, Building Translational Capacity in the Central Florida Innovation Ecosystem
ART:从研究到解决方案,在佛罗里达州中部创新生态系统中建设转化能力
- 批准号:
2331319 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Cooperative Agreement
I-Corps: Using Artificial Social Intelligence for Legal Team Assistants
I-Corps:使用人工智能作为法律团队助理
- 批准号:
1933260 - 财政年份:2019
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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