I-Corps: FloWorks - A Modern Infrastructure for Spatiotemporal Data Modeling and Analysis

I-Corps：FloWorks - 用于时空数据建模和分析的现代基础设施

• 批准号: 1246504
• 负责人: Paul Risser
• 金额: $ 5万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1246504&HistoricalAwards=false
• 关键词: Corps; FloWorks; Modern; Infrastructure; Spatiotemporal

This goal of this Innovation Corps project is to explore the commercial viability of software tools developed as part of the Cybercommons for Ecological Forecasting. The IT Informatics Team at The University of Oklahoma has developed a flexible suite of modular software components for data cataloging, modeling and analysis/visualization. The Innovation Corps curriculum and associated funding will be used to: i) rapidly explore target markets with data management and modeling challenges; ii) create an actionable strategy for developing a small business; iii) packaging and enhancing existing software tools as a fee-based hosted Software as a Service (SaaS) offering, which can meet an expressed need for data collection and modeling. As data sets grow larger, it becomes necessary to present new computational tools and paradigms to traditionally non-computational disciplines. Expanding the commercial opportunities for applying this toolset will continue to advance the usability and research capabilities of the tools, while expanding avenues for commercial application of ecological forecasting and related science. The proposed activity, developing commercial applications for an existing software research infrastructure, will have broader impacts in several areas. It will provide a significant expansion of the user community for these research software tools, enabling the opportunity to enhance usability and robustness of the tools. If successful, this activity will improve the commercial viability of software tools, thus enhancing the research competitiveness of the region.

该创新军团项目的目标是探索作为生态预测网络公域一部分开发的软件工具的商业可行性。 俄克拉荷马大学的 IT 信息学团队开发了一套灵活的模块化软件组件，用于数据编目、建模和分析/可视化。创新军团课程和相关资金将用于： i) 通过数据管理和建模挑战快速探索目标市场； ii) 为发展小型企业制定可行的战略； iii) 将现有软件工具打包和增强为收费的托管软件即服务 (SaaS) 产品，可以满足数据收集和建模的明确需求。 随着数据集变得越来越大，有必要向传统非计算学科提供新的计算工具和范例。扩大应用该工具集的商业机会将继续提高这些工具的可用性和研究能力，同时扩大生态预测和相关科学的商业应用途径。拟议的活动为现有软件研究基础设施开发商业应用程序，将在多个领域产生更广泛的影响。它将显着扩展这些研究软件工具的用户社区，从而有机会增强工具的可用性和稳健性。 如果成功，这项活动将提高软件工具的商业可行性，从而增强该地区的研究竞争力。