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SBIR Phase II: Software technology to facilitate decentralized coordination across groups working on systemic problems

SBIR Phase II: Software technology to facilitate decentralized coordination across groups working on systemic problems
SBIR 第二阶段:促进处理系统问题的各小组之间的分散协调的软件技术
批准号:
2052383
负责人:
Ana Jamborcic
金额:
$100.0万
依托单位:
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-04-15 至 2024-10-31

项目摘要

项目成果

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中文摘要
翻译
这个小企业创新研究(SBIR)第二阶段项目的更广泛的影响/商业潜力创建了一个专门为分布式系统中更民主的在线组对组协作设计的平台。这可以提供对软件支持协作、民主基础设施的新方法的见解,并改进当前对如何更广泛地优化民主和分散的IT治理系统的理解。一旦成功,该技术将加快跨多学科团队的创新和协调速度。该项目致力于研究如何创建具有组节点数据库体系结构关系的软件。目标是在平衡可伸缩性和弹性的同时创建组网络形成层。主要的创新是为分散的组织提供基于软件的系统,该系统最终将使用分散的底层基础设施,如分布式web技术或区块链。这个范例包含了(a)有效的团队和联盟形成的社会协议;(b)支持在分布式网络中工作的民主/合作组织的自动化;(c)加速跨学科和部门的信息发现,(d)复杂系统中全局优化解决方案模型思维的数据科学优化。该平台还将探索分形和紧急群体动力学,作为数千(如果不是数百万)关于群体形成、公共协调和大规模分布式组织有效沟通的特定性质的微小实验的机会。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。
英文摘要
The broader impact/ commercial potential of this Small Business Innovation Research (SBIR) Phase II project creates a platform specifically designed for more democratic online group-to-group collaboration in a distributed system. This could provide insights into new ways software can support collaboration, democratic infrastructure, and improve current understanding of how to optimize democratic and decentralized IT governance systems more broadly. Once successful, the technology will accelerate the rate of innovation and coordination across multi-disciplinary teams. The project is an effort to study how to create software with group-node database architecture relationships. The goal is to create layers of group network formation while balancing scalability with resiliency. The main innovation is a software-based system for decentralized organizations, which will eventually be using a decentralized underlying infrastructure such as distributed web technology or blockchain. This paradigm incorporates (a) social protocols for effective teaming and coalition formation; (b) automation supporting democratic/cooperative organizations working in a distributed network; (c) accelerated information discovery across disciplines and sectors, (d) data science optimization for model thinking for global optimization solutions in complex systems. The platform would also explore fractal and emergent group dynamics, as an opportunity for thousands (if not millions) of tiny experiments regarding the specific nature of group formation, commons coordination, and effective communication for distributed organizations at scale.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.
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