2020 Industrial Ecology GRC; Newry Maine, June 13-19, 2020

2026239(拉马斯瓦米)。工业生态学(IE)是一个旨在更有效地管理自然资源和减少环境影响的新兴领域。它考察了当地、区域和全球的产品、流程、工业部门和经济中的物质和能量流动。IE采用系统方法来实现可持续发展的广泛目标，即增进人类和地球的福祉。本次2020年戈登研究会议(GRC)寻求通过探索数据科学进步来开辟新的天地，因为它们影响了产业生态学和可持续发展系统科学的核心方法。GRC-IE将于2020年6月14日至19日在缅因州纽里举行。为研究生和博士后研究人员举办的伙伴会议--戈登工业生态学研究研讨会(GRS-IE)将与GRC-IE(2020年6月13日至14日)一起举行。这一GRC将在环境科学和工程领域开辟新的跨学科领域，将传统上不涉及环境科学和工业生态学的学科聚集在一起。例如，演讲者将跨越：工程师(包括那些在能源和交通系统方面工作的人)、遥感专家和联合制作的社会科学家。将有意识地整合核心方法、数据科学和可持续发展系统科学。全体演讲者是该领域的领导者，讨论将促进该领域和跨学科的基础科学、方法和应用。数据科学的进步将包括数据科学方法创新以及联合生产数据的科学，研究人员和实践社区分享知识和见解，这对于将研究与政策和行动联系起来以实现可持续社会至关重要。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

2026239 (Ramaswami). Industrial ecology (IE) is an emerging field that aims to more efficiently manage natural resources and reduce environmental impacts. It examines local, regional, and global material and energy flows in products, processes, industrial sectors, and economies. IE applies a systems approach to achieve the broad goal of sustainability, that is to advance the well-being of people and the planet. This 2020 Gordon Research Conference (GRC) seeks to break new ground by exploring data science advances as they impact core methods of industrial ecology and sustainability systems science. The GRC-IE will be held in Newry, Maine, June 14 - 19, 2020. A companion meeting for graduate students and postdoctoral researchers, the Gordon Research Seminar on Industrial Ecology (GRS-IE), will be held in conjunction with the GRC-IE (June 13 – 14, 2020). This GRC will break new interdisciplinary ground in environmental science and engineering by bringing together disciplines that have not traditionally engaged with environmental science & industrial ecology. For example, speakers will span: Engineers (including those working on energy and transportation systems), Remote sensing specialists, and Social Scientists addressing Co-Production. There will be intentional integration of core methods, data science, and sustainability systems science. The plenary speakers are leaders in the field and the discussions will advance basic science, methods in the field and across disciplines, and applications. Data science advancements will include data science methodological innovations as well as the science of co-producing data, with knowledge and insights shared among researchers and communities of practice, essential for linking research with policy and action for a sustainable society.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.