Conference: Assessing the Impacts of Engaged Research and Its Use: Evidence and Opportunities
会议:评估参与研究的影响及其使用:证据和机遇
基本信息
- 批准号:2332176
- 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:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Improving the societal benefits of science requires systematic attention to the ways in which research is conducted and how different approaches may result in various kinds and degrees of impact. Existing studies on research impact drivers suggest that more engaged approaches—where researchers meaningfully collaborate with societal partners during the research process—can increase the use of research to support decision-making. However, we know relatively little about how various forms or levels of engagement result in different societal benefits in the real world; some types of engagement may even be harmful or counterproductive. Improving understanding in this area requires empirical and critical study of the types of engaged research and their outcomes. A primary aim of this project is to build connections and coordination capacity among the many approaches to understanding, supporting, and improving engaged research and its uses. The team will convene scholars and institutional leaders across sectors to synthesize existing evidence and identify future directions related to the impacts and uses of engaged research.The heart of this project involves planning, execution, and follow-on reporting from an interdisciplinary and solutions-oriented workshop facilitated. The workshop will convene a small group of experts from a diverse range of disciplines, issue areas, geographies, and types of expertise for a weeklong intensive dialogue. The participants (n = approx. 30) will work together to synthesize existing knowledge, identify gaps, build understanding and connections, and forge next steps on the relationship among 1) the quality, intensity, and longevity of engagement in the research process, 2) research impact (e.g., use of evidence in decision making), and 3) outcomes of interest (e.g., improved health or educational outcomes). The output from this meeting will include a report and a call to action intended to inspire and inform decision-making at scientific institutions, including the National Science Foundation, keenly interested in expanding their support for engaged research.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.
提高科学的社会效益需要系统地关注进行研究的方式,以及不同的方法如何可能产生不同种类和程度的影响。现有的关于研究影响驱动因素的研究表明,更多的参与方法——研究人员在研究过程中与社会伙伴进行有意义的合作——可以增加研究对决策的支持。然而,我们对现实世界中不同形式或层次的参与如何产生不同的社会效益知之甚少;有些类型的投入甚至可能有害或适得其反。提高对这一领域的理解需要对所从事的研究类型及其成果进行实证和批判性研究。该项目的一个主要目标是在许多方法之间建立联系和协调能力,以理解、支持和改进参与研究及其使用。该小组将召集各部门的学者和机构领导人,综合现有证据,确定与参与研究的影响和用途相关的未来方向。该项目的核心包括计划、执行和后续报告,这些报告来自跨学科和面向解决方案的研讨会。讲习班将召集来自不同学科、问题领域、地域和专业知识类型的一小群专家,进行为期一周的密集对话。参与者(n =约。30)将共同努力,综合现有知识,找出差距,建立理解和联系,并就以下关系制定下一步措施:1)参与研究过程的质量、强度和寿命;2)研究影响(例如,在决策中使用证据);3)感兴趣的成果(例如,改善健康或教育成果)。这次会议的成果将包括一份报告和一份行动呼吁,旨在激励和告知科学机构的决策,包括美国国家科学基金会,它们对扩大对参与式研究的支持非常感兴趣。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。
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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James Arnott其他文献
James Arnott的其他文献
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{{ truncateString('James Arnott', 18)}}的其他基金
Interdisciplinary Science Session: Can Machine Learning and Data-driven Science Lead to Breakthroughs in Earth System Modeling and Analysis?; Aspen, Colorado; June 7-11, 2021
跨学科科学会议:机器学习和数据驱动科学能否带来地球系统建模和分析的突破?;
- 批准号:
2038111 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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