REU Site: Computational Modeling Serving the City

REU 网站：计算模型服务城市

• 批准号: 1758006
• 负责人: Christof Teuscher
• 金额: $ 30.24万
• 依托单位: Portland State University
• 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: 2018-03-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1758006&HistoricalAwards=false
• 关键词: REU; Site; Computational; Modeling; Serving

The focus area of this Research Experiences for Undergraduates (REU) site is computational modeling to serve and enhance the Portland metropolitan region as it grows and evolves. Students will be involved in cutting-edge, multi-disciplinary research projects and trained in computational thinking across different disciplines and communities. In doing so, they will gain an understanding of the potential and limits of these tools and how they can serve diverse urban communities. Portland State University (PSU), with its newly-funded Portland Institute for Computational Science (PICS), has developed a reputation as a national model for urban universities that enhance their region by working with partners to solve problems. The activities of this REU site will involve a 2-week training to teach students the foundations of computational modeling, followed by an 8-week research project completed in a research lab under a mentor's guidance and with the involvement of a community partner. The community-oriented aspect is aligned with PSU's motto "Let knowledge serve the city." The investigator will recruit a very diverse population of undergraduate students across disciplines, in particular from institutions with limited Science, Technology, Engineering and Math (STEM) research opportunities, such as 2-year community colleges. The REU site will allow students to enrich their educational experiences by providing them with an intellectual toolbox that has the potential to have a lasting impact on their diverse careers.The intellectual merit of the project is rooted in exposing students to community-based computational modeling projects as a way of developing their computational thinking well beyond the computing disciplines. Interdisciplinary projects across disciplines and communities together with weekly site meetings will provide students a unique, multi-faceted perspective. The intended impact of the REU site is to teach students the fundamental skills of computational modeling and thinking that will help them understand and solve complex problems in a complex world. At the end of the internship, the student will present the research outcomes to the community partner. Weekly site meetings, seminars, site visits, and a final symposium will enrich the internship. The hands-on nature of the cutting-edge research projects has the potential to attract and motivate a diverse population of students to pursue a STEM career.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.

本科生（REU）站点的研究经验的重点领域是计算建模，可随着发展和发展而发展和增强波特兰都会区。学生将参与尖端，多学科研究项目，并接受不同学科和社区的计算思维培训。通过这样做，他们将了解这些工具的潜力和局限性以及它们如何为各种城市社区服务。波特兰州立大学（PSU）及其新资助的波特兰计算科学研究所（PICS），已通过与合作伙伴合作解决问题来增强其地区的国家模式，以享誉城市大学的国家模式。此REU网站的活动将涉及为期2周的培训，以教学学生的计算建模基础，然后是在导师的指导下在研究实验室完成的为期8周的研究项目，并在社区合作伙伴的参与下完成。面向社区的方面与PSU的座右铭“让知识为城市服务”保持一致。研究人员将招募各个学科的本科生，尤其是科学，技术，工程和数学（STEM）研究机会的机构，例如2年的社区学院。 REU站点将使学生通过为他们提供一个智力工具箱来丰富他们的教育经验，该工具箱有可能对他们的多样化职业产生持久的影响。该项目的智力优点源于使学生接触基于社区的计算建模项目，以此作为在计算领域以外及时发展其计算思维的一种方式。跨学科和社区的跨学科项目以及每周的场地会议将为学生提供独特的多方面观点。 REU网站的预期影响是向学生传授计算建模和思维的基本技能，从而帮助他们理解和解决复杂世界中的复杂问题。在实习结束时，学生将向社区合作伙伴展示研究成果。每周的场地会议，研讨会，现场访问和最后的研讨会将丰富实习。尖端研究项目的动手本质有可能吸引和激励多样化的学生从事STEM职业。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估标准来通过评估来获得支持的。

项目成果

A one-dimensional field dislocation mechanics model using discontinuous Galerkin method

采用间断伽辽金法的一维场位错力学模型

• DOI: 10.1016/j.commatsci.2022.111870
• 发表时间: 2023
• 期刊: Computational Materials Science
• 影响因子: 3.3
• 作者: Breeden, Ja’Nya;Drake, Dow;Gopalakrishnan, Jay;Puri, Saurabh
• 通讯作者: Puri, Saurabh

Effects of Antecedent Precipitation Amount and COVID-19 Lockdown on Water Quality along an Urban Gradient

前期降水量和 COVID-19 封锁对城市梯度沿线水质的影响

• DOI: 10.3390/hydrology9120220
• 发表时间: 2022
• 期刊: Hydrology
• 影响因子: 3.2
• 作者: Ramirez, Daniel;Chang, Heejun;Gelsey, Katherine
• 通讯作者: Gelsey, Katherine

Spatial and Temporal Differences in Weekday Travel Durations Between Private-for-Hire Transportation Services and Transit in the City Center

私人出租交通服务与市中心交通之间的工作日旅行时间的时空差异

• 发表时间: 2020
• 期刊: Proceedings of the 99th Annual Meeting of the Transportation Research Board
• 作者: Clifton, K.;Shandobil, B.;Lazarchik, Ty
• 通讯作者: Lazarchik, Ty

A Supervised Learning Approach to Water Quality Parameter Prediction and Fault Detection

• DOI: 10.1109/bigdata.2018.8622628
• 发表时间: 2018-01-01
• 期刊: 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
• 作者: Joslyn, Kathleen;Lipor, John
• 通讯作者: Lipor, John