MOD: Public Value Mapping: Developing a Non-Economic Model of the Social Value of Science and Innovation Policy

MOD：公共价值映射：开发科学和创新政策社会价值的非经济模型

• 批准号: 0738203
• 负责人: Daniel Sarewitz
• 金额: --
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-10-01 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0738203&HistoricalAwards=false
• 关键词: MOD; Public; Value; Mapping; Developing

Science and innovation policies (SIPs) aim at mobilizing knowledge in support of a wide range of societal aspirations and values. However, analytical tools and models for the assessment of SIPs focus predominantly on economic values. Analytical tools for assessing social impacts of science tend to be anchored in microeconomics (e.g. benefit-cost analysis). The assumptions upon which economics of innovation models and attendant tools are based inevitably affect SIP assessments and choices. For example, the tendency to focus on "science and technology as the engine of economic growth" has contributed in part to the limited attention to equity in the distribution of the impacts of research activities. Values not easily expressed in economic terms receive less attention simply owing to the absence of compelling and concrete ways of thinking about them. Nearly all observers, including economists, recognize that some social values are not well accounted for by economic models and measures. The influence of economic models in SIP is in part explained by limited progress in developing ways to conceptualize those science- and innovation-related values not easily expressed in monetary terms. The purpose of this study is to further develop a public-values-based model for SIP. At the core of this work are two fundamental questions: What are the public values that justify particular SIPs, and what is the capacity of a given SIP to yield outcomes that support and advance those values? The research operationalizes these questions and applies them to the development of a SIP decision model using a method that the researchers term Public Value Mapping (PVM). Core assumptions of PVM are: (1) that it is possible to identify public values, including ones not well captured by economic constructs; (2) just as one can assess market failure, "public value failure" occurs when neither the market nor the public sector provides goods and services required to achieve designated public values; and (3) innovation can be characterized not only in terms of contributions to economic growth and productivity but also in terms of public values achieved. This work entails theory development as well as case studies to advance and test the PVM model. Four case studies (as well as three additional studies funded from other sources) are then inter-linked by a common analytical framework, bringing multiple perspectives to the analysis. Case studies are designed specifically to draw from current PVM theory while also testing and improving the theory. Each case begins with an explicit statement of the public values analyzed, and proceeds to "map" progress toward public values by modeling the distinctive innovation process in which each case is embedded. Integration of case studies adds empirical robustness to the PVM model. A new model of innovation based on widely shared, non-economic values--public values--would represent a major intellectual advance in the study and analysis of science and innovation policies. This study: (1) advances understanding of the links between SIPs and public values; (2) further develops Public Value Mapping in terms of a "churn model" of innovation, emphasizing the social impacts of innovations and the capacity of innovation systems to create new beneficial impacts; and (3) develops the PVM model as a new theoretically and empirically grounded foundation for assessing and designing SIPs. The new model of innovation will provide SIP analysts a theoretical and methodological foundation for assessing and informing science and innovation investment and institutional design decisions, using public values as the measure of success. The model is also meant to be a crucial first step toward developing public-values-oriented SIP decision tools that could be widely deployed in SIP decision making processes.

科学和创新政策旨在调动知识，支持广泛的社会愿望和价值观。然而，用于评估部门投资方案的分析工具和模型主要侧重于经济价值。用于评估科学社会影响的分析工具往往以微观经济学为基础（如效益-成本分析）。创新模式和相关工具的经济学所依据的假设不可避免地影响到SIP的评估和选择。例如，注重“科学和技术作为经济增长引擎”的倾向在一定程度上导致了对研究活动影响分配公平性的关注有限。不容易用经济术语表达的价值观受到的关注较少，这仅仅是因为缺乏令人信服的具体思考方式。几乎所有的观察家，包括经济学家，都认识到，经济模型和措施没有很好地解释某些社会价值。经济模型在工业部门投资方案中的影响部分是由于在发展方法以概念化那些不易用货币表示的科学和创新相关价值方面进展有限。本研究的目的是进一步发展一个基于公共价值观的SIP模型。这项工作的核心是两个基本问题：证明特定SIP合理的公共价值是什么？特定SIP产生支持和促进这些价值的结果的能力是什么？该研究操作化这些问题，并将其应用到SIP决策模型的开发中，研究人员称之为公共价值映射（PVM）。PVM的核心假设是：（1）可以确定公共价值，包括经济结构中没有很好体现的公共价值;（2）正如人们可以评估市场失灵一样，“公共价值失灵”发生在市场和公共部门都没有提供实现指定公共价值所需的商品和服务时;（3）创新的特点不仅在于对经济增长和生产力的贡献，还在于所实现的公共价值。这项工作需要理论发展以及案例研究，以推进和测试PVM模型。四个案例研究（以及其他来源资助的另外三个研究）然后通过一个共同的分析框架相互联系，为分析带来多个视角。案例研究是专门设计的，以借鉴当前的PVM理论，同时也测试和改进理论。每一个案例都从分析公共价值的明确陈述开始，并通过对每个案例所嵌入的独特创新过程进行建模，继续“映射”公共价值的进展。案例研究的整合增加了PVM模型的经验稳健性。基于广泛共享的非经济价值观-公共价值观-的创新新模式将是科学和创新政策研究和分析方面的一个重大知识进步。本研究：（1）促进对SIP和公共价值之间联系的理解;（2）进一步发展创新“流失模型”方面的公共价值地图，强调创新的社会影响和创新系统创造新的有益影响的能力;（3）发展PVM模型，作为评估和设计SIP的新的理论和经验基础。新的创新模式将为SIP分析师提供一个理论和方法基础，以评估和通报科学和创新投资和机构设计决策，使用公共价值作为衡量成功的标准。该模型也意味着是一个关键的第一步，发展公共价值导向的SIP决策工具，可以广泛部署在SIP决策过程中。