MOD - Dynamics of Creativity and Innovation in Virtual Scientific Commons

网络化基础设施中的科学界是社会技术创新系统，具有自组织复杂适应系统的特征。该项目使用基于经验和概念上有效的科学代理模拟模型，探索最小的结构和行为条件，即最简单的一组假设，用于科学共享空间（SC）中创造力和创新的出现和维持。计算机辅助民族志软件，称为SC浏览器，促进了对CreativeCommons，Scholarpedia，CollabRX和OpenWetWare等社区中的社会和技术网络的民族志观察。受行动者网络理论的启发，该理论专注于涉及人类，符号和物理行动者的翻译网络，SC Browser是一种先进的分析工具，可以聚合行动者之间互动的观点，同时保留对原始研究材料数据集的访问，用于定性分析和基础假设生成，以构建计算模拟并研究科学知识，社区，模拟研究（1）考虑了科学活动的话语，包括虚拟科学公域中新知识的贡献、领域知识的增长以及研究向专业的聚集，（2）通过引入知识生产的动机和竞争性质，将科学视为一个自主和自我调节的社会认知系统，以及（3）探索替代社区文化的影响（例如，面向探索、面向服务和面向效用），对等评估风格（例如，（c）集中化、分散化）对供应链的可持续性和创新潜力的影响。除了促进对网络创新社区的社会技术和文化理解外，该项目还为虚拟科学社区的科学政策机制设计和决策分析提供了一个集成和可定制的代理模拟框架，称为SciSIM，以改善可持续创新。 利用SciSim，该项目展示了社交网络和市场机制如何提供一个良好的正式基础，使用可靠和有效的结构和组织气候指标来研究科学社区的动态。更广泛的影响：该项目旨在促进培养学生在科学和技术（S T）研究中的计算思维技能。因此，本研究希望借由将计算模型作为教学工具的引进，来推动科技课程的发展。此外，仿真环境及其相关的模型可以被NSF管理部门用作科学政策分析的计算实验室。沿着早期开源社区工作的发现，该项目旨在通过一本关于用户创新社区中的可持续创造力和创新的书，得出科学公域中的共同统一原则创新及其文档。

Scientific communities in cyber-enabled infrastructures are socio-technical innovation systems that exhibit the characteristics of self-organizing complex adaptive systems. Using empirically grounded and conceptually valid agent simulation models of science, the project explores minimal structural and behavioral conditions, that is, the simplest set of assumptions, for the emergence and sustainment of creativity and innovation in Scientific Commons (SCs). The computer-aided ethnography software, called SC Browser, facilitates ethnographic observation of the social and technical networks in communities such as CreativeCommons, Scholarpedia, CollabRX, and OpenWetWare. Inspired by the Actor-Network Theory that focuses on translation networks involving human, symbolic, and physical actors, SC Browser is an advanced analytical tool that aggregates views of interaction among actors and at the same time preserve access to raw research material data sets for qualitative analysis and foundational hypothesis generation to construct computational simulations and to study co-evolution of scientific knowledge, community, and domain practices in the context of systems model of creativity.The simulation study (1) considers the discourse of scientific activity, including the contribution of new knowledge in virtual scientific commons, growth of the domain knowledge, and the clustering of research into specialties, (2) views science as an autonomous and self-regulating socio-cognitive system through the introduction of motivation and competitive nature of knowledge production, and (3) explores the impact of alternative community cultures (e.g., exploration-oriented, service-oriented, and utility-oriented), peer evaluation styles (e.g., centralized, decentralized) on the sustainability and innovation potential of SCs. Besides advancing the socio-technical and cultural understanding of cyber-enabled innovation communities, the project produces an integrated and customizable agent simulation framework, called SciSIM, for science policy mechanism design and decision analysis for virtual scientific communities to improve sustainable innovation. Using SciSim, the project demonstrates how social networks and market mechanisms provide a sound formal basis to study dynamics of scientific communities using reliable and valid structural and organizational climate metrics.Broader Impacts: The project aims to facilitate training of students to develop computational thinking skills in Science and Technology (S&T) studies. As such, this research is expected to advance the state of the art in S&T curriculum via introduction of computational models as pedagogical instruments. Furthermore, the simulation environment and its associated models can be used by NSF administration for use as a computational laboratory for science policy analysis. Along with the findings of earlier work on Open Source Communities, this project aims to derive of common unifying principles innovation in scientific commons and their documentation via a book on the topic of Sustainable Creativity and Innovation in User Innovation Communities.