Demand-driven science: the role of knowledge partnerships in improving the public value of conservation science

需求驱动的科学:知识伙伴关系在提高保护科学公共价值中的作用

基本信息

  • 批准号:
    2122157
  • 负责人:
  • 金额:
    $ 61.68万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-08-15 至 2024-07-31
  • 项目状态:
    已结题

项目摘要

In recent years, conservation scientists have recognized the importance of partnerships with stakeholders outside of academe to innovate and realize measurable conservation outcomes. Knowledge partnerships represent a form of knowledge production that can advance public value outcomes. While public value is an important concept in science and innovation policy research and management, there is little research on how partnerships between institutions can deliver public value, especially in conservation science. We propose to study how and when the supply of and demand for conservation knowledge are linked. In particular, we seek to examine, 1) What are the mechanisms by which the demand for knowledge informs the production and supply of science in conservation?; 2) What role do knowledge partnerships play in linking the supply of and demand for conservation knowledge, and what effect does the design of these partnerships have on their ability to deliver public value?; and 3) How can research projects and knowledge partnerships be designed to avoid public value failures, improve the connection between the production and use of science, and thus increase the public value of scientific activity? Our proposed research builds on our recent work on determinants of the supply of public value outcomes in conservation science. By analyzing experiences of knowledge users and the possibilities inherent in knowledge partnerships as a distinct organizational form, we aim to understand the organizational configurations best suited for facilitating demand-driven conservation science. Our proposed research will provide a model and tools for achieving and enhancing public value outcomes in conservation science and related fields. The identification of indicators of public value success is directly translatable and adaptable to governmental, private and non-profit organizations. This research will provide guidelines on how to design knowledge partnerships for public value and will offer new models of institutional partnerships to address complex social and ecological aspects of biodiversity conservation, thus enabling solutions that are relevant, culturally sensitive, economically viable and nimble.Our proposed research will provide an evidence-based approach for maximizing public value outcomes in the production of conservation science. Realizing public value outcomes in research entails structuring scientific research collaborations to meet established knowledge needs rather than producing knowledge for which there is no demand. Public value outcomes in research also entails structuring institutions to provide incentives for public value outcomes; and structuring and scaling research programs and collaborations for impact based upon approaches documented to have the best potential for success. In examining the communication and translation processes that link knowledge users to knowledge producers, we will focus specifically on those who often have not been included in these processes. With public value creation as the guiding principle, we will uncover lessons for the design of research projects, partnerships and knowledge-producing organizations. We will produce a framework for understanding how the processes of scientific research can be transformed to be more inclusive of stakeholders and improve the connection between the production and use of science, thus increasing the public value of scientific activity.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.
近年来,保护科学家已经认识到与利益相关者的合作伙伴关系的重要性,在创新和实现可衡量的保护成果。 知识伙伴关系是一种能够促进公共价值成果的知识生产形式。虽然公共价值是科学和创新政策研究和管理中的一个重要概念,但关于机构之间的伙伴关系如何提供公共价值的研究很少,特别是在保护科学方面。我们建议研究如何以及何时将保护知识的供应和需求联系起来。 特别是,我们试图研究,1)是什么机制,知识的需求通知生产和保护科学的供应?2)知识伙伴关系在联系保护知识的供应和需求方面发挥什么作用,这些伙伴关系的设计对其提供公共价值的能力有什么影响?(3)如何设计研究项目和知识伙伴关系,以避免公共价值失灵,改善科学生产和使用之间的联系,从而提高科学活动的公共价值? 我们提出的研究建立在我们最近的工作在保护科学的公共价值成果的供应的决定因素。通过分析知识用户的经验和知识伙伴关系作为一种独特的组织形式所固有的可能性,我们的目标是了解最适合促进需求驱动的保护科学的组织配置。我们拟议的研究将提供一个模型和工具,以实现和提高保护科学和相关领域的公共价值成果。确定公共价值成功的指标可以直接翻译,并适用于政府、私人和非营利组织。这项研究将提供指导方针,如何设计知识伙伴关系的公共价值,并将提供新的模式的机构合作伙伴关系,以解决复杂的社会和生态方面的生物多样性保护,从而使解决方案是相关的,文化敏感,经济上可行的和灵活的。我们提出的研究将提供一个以证据为基础的方法,最大限度地提高公共价值的成果,在生产的保护科学。实现公共价值的研究成果需要构建科学研究合作,以满足既定的知识需求,而不是生产没有需求的知识。 研究中的公共价值成果还需要构建机构,为公共价值成果提供激励;并根据记录在案的具有最大成功潜力的方法构建和扩展研究计划和合作。在研究将知识使用者与知识生产者联系起来的沟通和翻译过程时,我们将特别关注那些通常没有被包括在这些过程中的人。以创造公共价值为指导原则,我们将揭示研究项目,伙伴关系和知识生产组织的设计经验教训。我们将制定一个框架,以了解如何转变科学研究过程,使其更加包容利益相关者,并改善科学生产和使用之间的联系,从而提高科学活动的公共价值。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

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Leah Gerber其他文献

2098 PROSTATE BIOPSIES FROM AFRICAN-AMERICAN MEN EXPRESS HIGHER LEVELS OF AGGRESSIVE DISEASE BIOMARKERS THAN PROSTATE BIOPSIES FROM CAUCASIAN MEN
  • DOI:
    10.1016/j.juro.2010.02.2172
  • 发表时间:
    2010-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Howard Kim;Daniel M. Moreira;Jayakrishnan Jayachandran;Leah Gerber;Lionel Banez;Robin Vollmer;Amy Lark;Michael J. Donovan;Douglas Powell;Faisal M. Khan;Stephen J. Freedland
  • 通讯作者:
    Stephen J. Freedland
292 DOES INITIATING STATIN THERAPY AFTER RADICAL PROSTATECTOMY REDUCE THE RISK FOR BIOCHEMICAL RECURRENCE? – RESULTS FROM THE SEARCH DATABASE
  • DOI:
    10.1016/j.juro.2010.02.354
  • 发表时间:
    2010-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Lionel Bañez;Leah Gerber;William Aronson;Joseph Presti;Martha Terris;Christopher Amling;Christopher Kane;Stephen Freedland
  • 通讯作者:
    Stephen Freedland
1638 UNILATERAL PROSTATE CANCER ANALYIS OF PREDICTORS IN SEARCH AND DUKE PROSTATE CENTER DATABASES
  • DOI:
    10.1016/j.juro.2012.02.1455
  • 发表时间:
    2012-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Matvey Tsivian;Stephen Freedland;Lionel Bañez;Leah Gerber;Joseph Presti;William Aronson;Martha Terris;Christopher Kane;Christopher Amling;Judd Moul;Thomas Polascik
  • 通讯作者:
    Thomas Polascik
366 BIOPSY-DETECTED GLEASON PATTERN 5 PREDICTS RECURRENCE IN MEN WITH HIGH-RISK PROSTATE CANCER
  • DOI:
    10.1016/j.juro.2013.02.1754
  • 发表时间:
    2013-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sean Stroup;Daniel Moreira;Leah Gerber;Stephen Freedland;Fred Millard;Martha Terris;William Aronson;Joseph Presti;Christopher Amling;Christopher Kane
  • 通讯作者:
    Christopher Kane
666 BASELINE PROSTATE INFLAMMATION IS ASSOCIATED WITH REDUCED RISK OF PROSTATE CANCER IN MEN UNDERGOING REPEAT PROSTATE BIOPSY: RESULTS FROM THE REDUCE STUDY
  • DOI:
    10.1016/j.juro.2013.02.221
  • 发表时间:
    2013-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Daniel Moreira;J. Curtis Nickel;Leah Gerber;Roberto Muller;Gerald Andriole;Ramiro Castro-Santamaria;Stephen Freedland
  • 通讯作者:
    Stephen Freedland

Leah Gerber的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Leah Gerber', 18)}}的其他基金

The behavioral and institutional determinants of public value knowledge outcomes in conservation science
保护科学中公共价值知识成果的行为和制度决定因素
  • 批准号:
    1661406
  • 财政年份:
    2017
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Standard Grant
CAREER: Integrating Behavior and Demography in Marine Mammal Conservation
职业:在海洋哺乳动物保护中整合行为和人口统计学
  • 批准号:
    0347960
  • 财政年份:
    2004
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Standard Grant

相似国自然基金

Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    外国青年学者研究基金项目
基于Cache的远程计时攻击研究
  • 批准号:
    60772082
  • 批准年份:
    2007
  • 资助金额:
    28.0 万元
  • 项目类别:
    面上项目

相似海外基金

Understanding the Impact of Outdoor Science and Environmental Learning Experiences Through Community-Driven Outcomes
通过社区驱动的成果了解户外科学和环境学习体验的影响
  • 批准号:
    2314075
  • 财政年份:
    2024
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Continuing Grant
Transforming Introductory Computer Science Instruction with an AI-Driven Classroom Assistant
利用人工智能驱动的课堂助手改变计算机科学入门教学
  • 批准号:
    2236011
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Continuing Grant
Transforming Introductory Computer Science Instruction with an AI-Driven Classroom Assistant
利用人工智能驱动的课堂助手改变计算机科学入门教学
  • 批准号:
    2236195
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Continuing Grant
Transforming Introductory Computer Science Instruction with an AI-Driven Classroom Assistant
利用人工智能驱动的课堂助手改变计算机科学入门教学
  • 批准号:
    2331965
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Continuing Grant
Collaborative Research: Advancing the Science of STEM Interest Development through Educational Gameplay with Machine Learning and Data-driven Interviews
合作研究:通过机器学习和数据驱动访谈的教育游戏推进 STEM 兴趣发展科学
  • 批准号:
    2301173
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Continuing Grant
Investigating facilitator-driven, multi-level implementation strategies in Federally Qualified Health Centers to improve provider recommendation and HPV vaccination rates among Latino/a adolescents
调查联邦合格健康中心中促进者驱动的多层次实施策略,以提高拉丁裔/非裔青少年的医疗服务提供者推荐和 HPV 疫苗接种率
  • 批准号:
    10737168
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
Data-driven and science-informed methods for the discovery of biomedical mechanisms and processes
用于发现生物医学机制和过程的数据驱动和科学信息方法
  • 批准号:
    10624014
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
Collaborative Research: Advancing the Science of STEM Interest Development through Educational Gameplay with Machine Learning and Data-driven Interviews
合作研究:通过机器学习和数据驱动访谈的教育游戏推进 STEM 兴趣发展科学
  • 批准号:
    2301172
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Continuing Grant
Network Connector: DEDICATE: Data Science Equity-Driven Inquiry to Create Accessible Project-based Training for Social Impact Education
网络连接器:DEDICATE:数据科学公平驱动的探究,为社会影响力教育创建可访问的基于项目的培训
  • 批准号:
    2304100
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Continuing Grant
Sustainability: Open SciServer: A Sustainable Data-Driven Science Platform
可持续性:Open SciServer:可持续的数据驱动科学平台
  • 批准号:
    2311791
  • 财政年份:
    2023
  • 资助金额:
    $ 61.68万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了