REU Site: Computing for an Equitable Energy Transition

REU 网站：计算实现公平的能源转型

• 批准号: 2243853
• 负责人: David Irwin
• 金额: $ 43.38万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2243853&HistoricalAwards=false
• 关键词: REU; Site; Computing; Equitable; Energy

This project establishes a Research Experiences for Undergraduates (REU) site at the University of Massachusetts Amherst. Climate change is a significant threat to humanity and the natural world. The objective for the Computing for an Equitable Energy Transition (CEET) REU site is to expose undergraduate students to the important and significant role that computing will play in the transition to sustainable energy, both as an increasingly significant energy consumer and in optimizing society’s energy- and carbon-efficiency. The project will emphasize the importance of ensuring an equitable energy transition that does not unfairly impact marginalized groups. CEET's activities will focus on three distinct computing sub-disciplines that are important for enabling an equitable energy transition, including i) designing energy-efficient, reliable, and low-cost sensors, i.e., sensing, ii) designing energy- and carbon-efficient cloud platforms and applications, i.e., computing, and iii) analyzing collected data to identify and exploit opportunities for improving society’s sustainability that are equitable, i.e., analysis. CEET will emphasize the recruitment of groups traditionally under-represented in computing. The intended impact is to train students to work at the intersection of computing, sustainability, and equity.CEET's scope is broad, as its methods and approaches draw from multiple inter-related sub-disciplines of computing that are critical to achieving an equitable energy transition. Sensing-centric projects will focus on inferring useful information from coarse, indirect, and unreliable sensors that enable environmental monitoring without expensive large-scale sensor deployments. Computing-centric projects will focus on optimizing energy- and carbon-efficiency to reduce the environmental impact of large-scale cloud platforms and applications. Data-centric projects will develop methods for analyzing collected sensor data to automatically identify and exploit real-world opportunities for energy and carbon savings. In each case, projects will consider problems through an equity lens to better understand the reasons and consequences of inefficiency. Ultimately, CEET's goal is to provide students a broad background in the many areas of computing research that intersect the energy transition.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.

该项目在马萨诸塞大学阿默斯特分校建立了一个本科生研究经验 (REU) 站点，气候变化对人类和自然世界构成重大威胁。公平能源转型计算 (CEET) REU 站点的目标是揭露气候变化。向本科生介绍计算在向可持续能源转型中将发挥的重要作用，无论是作为日益重要的能源消费者，还是在优化社会能源和碳效率方面，该项目将强调确保公平能源的重要性。 CEET 的活动将重点关注对于实现公平能源转型非常重要的三个不同的计算子学科，包括 i) 设计节能、可靠和低成本的传感器，即传感、 ii) 设计节能和碳高效的云平台和应用程序，即计算，以及 iii) 分析收集的数据，以识别和利用改善社会公平可持续性的机会，即 CEET 将强调招聘。其预期影响是培训学生在计算、可持续发展和公平的交叉点上工作。CEET 的范围很广泛，因为它的方法和方法借鉴了多个相互关联的计算子学科。对于实现公平的能源转型至关重要，以传感为中心的项目将侧重于从粗略、间接和不可靠的传感器中推断出有用的信息，从而无需昂贵的大规模传感器部署即可实现环境监测。和碳效率，以减少大规模云平台和应用程序对环境的影响，以数据为中心的项目将开发分析收集的传感器数据的方法，以自动识别和利用现实世界中的能源和碳节约机会。将通过公平的视角来考虑问题，以更好地理解效率低下的原因和后果。最终，CEET 的目标是为学生提供与能源转型交叉的许多计算研究领域的广泛背景。该奖项反映了 NSF 的法定使命，并得到了认可。认为值得支持通过使用基金会的智力优点和更广泛的影响审查标准进行评估。