REU Site: Computing for an Equitable Energy Transition

该项目在马萨诸塞州阿默斯特大学建立了一个本科生研究经验（REU）网站。气候变化是对人类和自然界的重大威胁。计算公平能源转型（CEET）REU网站的目标是让本科生了解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，还是优化社会的能源和碳效率。该项目将强调确保公平的能源过渡的重要性，这种过渡不会不公平地影响边缘化群体。CEET的活动将集中在三个不同的计算子学科，这对实现公平的能源过渡至关重要，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，以识别和利用机会，提高社会的可持续性是公平的，即，分析. CEET将强调招聘传统上在计算领域代表性不足的群体。CEET的范围是广泛的，因为它的方法和方法来自于计算的多个相互关联的子学科，这些子学科对实现公平的能源过渡至关重要。以传感为中心的项目将专注于从粗糙，间接和不可靠的传感器中推断有用的信息，这些传感器可以在无需昂贵的大规模传感器部署的情况下进行环境监测。以计算为中心的项目将专注于优化能源和碳效率，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的能源和碳节约机会。在每一种情况下，项目将通过公平透镜来考虑问题，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广泛的背景，在计算研究的许多领域，交叉能源transition.This奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。

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.