EAGER: Computational Operations Research Exchange (CORE)

EAGER：计算运筹研究交流中心（CORE）

基本信息

批准号：
1822327
负责人：
Suvrajeet Sen
金额：
$ 29.7万
依托单位：
University of Southern California
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-04-01 至 2021-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1822327&HistoricalAwards=false
关键词：
EAGER Computational Operations Research Exchange

项目摘要

This EArly-concept Grant for Exploratory Research (EAGER) award will support the progress of science and advance the national prosperity and welfare by transforming how urban systems researchers use data analytics in their studies. Scientific progress in many operational problems in urban mobility, energy and water usage, public safety, and healthcare is limited by lack of access to real-world data. Currently, new models and algorithms developed by the operations research community are often tested on simulated datasets that may not reflect real operating conditions. Research supported by this project will enable the creation of a novel Computational Operations Research Exchange (CORE) platform that aims to overcome these limitations. CORE platform will allow researchers from different disciplines to leverage actual operational data and compare their methods and results on realistic scenarios. The exchange platform will also provide a mechanism to encourage cross-disciplinary collaborations, which are important to innovative solutions to complex societal problems. The project will use a Systems-of-Systems approach to build a re-usable cyber-infrastructure for operations research models. With today's availability of open access public datasets, the platform will provide a plug-and-play paradigm which can share data, models and algorithms in a seamless manner, allowing researchers to effectively compare algorithms on real datasets. The project will begin with three use-cases drawn from applications in energy, transportation, and urban analytics. The PIs will design protocols so that these applications will be instantiated using data available across many different regions in the country, thus allowing models of similar scope to be tested using regional datasets. The platform will provide generic model interfaces, where alternative model types will be allowed to work on common datasets for comparison purposes. The PIs are committed to working closely with women andminorities and will involve two women Ph.D students in this project.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.

这项早期概念探索性研究奖（急切）奖将通过改变城市系统研究人员在研究中使用数据分析的方式来支持科学的进步并促进国家繁荣和福利。城市流动性，能源和用水，公共安全和医疗保健中许多运营问题的科学进步受到无法获得现实数据的访问的限制。当前，经常在模拟数据集上测试了由运营研究社区开发的新模型和算法，这些数据集可能无法反映实际的操作条件。该项目支持的研究将使旨在克服这些局限性的新型计算运营研究交流（CORE）平台创建。核心平台将使来自不同学科的研究人员能够利用实际的操作数据，并在现实场景上比较其方法和结果。交换平台还将提供一种鼓励跨学科合作的机制，这对于对复杂社会问题的创新解决方案很重要。该项目将使用系统系统方法来构建用于运营研究模型的可重复使用的网络基础结构。借助当今的开放式访问公共数据集，该平台将提供插件范式，该范式可以以无缝的方式共享数据，模型和算法，从而使研究人员能够有效地比较实际数据集上的算法。该项目将从能源，运输和城市分析应用程序中的三个用例开始。 PI将设计协议，以便使用该国许多不同区域可用的数据实例化这些应用程序，从而允许使用区域数据集对类似范围的模型进行测试。该平台将提供通用的模型接口，其中将允许替代模型类型在常见数据集上工作以进行比较。 PI致力于与妇女和界限紧密合作，并将在该项目中涉及两名女性博士学位。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估来获得支持。