Workshop: Enabling Composable and Modular Manufacturing through Abstractions: Where Computer Science Meets Manufacturing; San Francisco Bay Area; Fall 2015

该奖项将支持将于2015年秋季在旧金山湾区举行的“通过抽象实现可组合和模块化制造”的研讨会。研讨会的目的是确定计算和制造交叉领域的研究机会和优先事项。研讨会将吸引计算机界的研究领导者参加，包括其领域专业知识有望获得制造业关键洞察力但以前可能从未考虑利用21世纪的制造挑战来启发他们的研究的个人，以及制造业的研究领导者，他们越来越专注于寻找计算解决方案来推动其领域的发展。研讨会的成果将以研讨会报告的形式公布，并将通过国际计算机科学研究所(ICSI)的网站以电子形式提供。为期两天的会议的议程将分为四个半天的会议：三个会议重点讨论21世纪制造企业的重大挑战，第四个会议将制作研讨会报告的初稿。每一次重大挑战会议都将由两名个人共同组织，分别来自制造业和计算机科学界。暂时，三大挑战会议将是：制造业中的数据、模型和表示；模块化、可组合和开放式制造；以及架构和虚拟化，包括效率、安全性和健壮性。

The award will support a workshop on "Enabling Composable and Modular Manufacturing through Abstractions," which will be held in the San Francisco Bay area in the fall of 2015. The purpose of the workshop is to identify research opportunities and priorities at the intersection of computing and manufacturing. The workshop will engage research leaders in the computing community, including individuals whose domain expertise promises key insights in manufacturing but who previously may not have considered using 21st century manufacturing challenges to inspire their research, and research leaders in the manufacturing community who have increasingly been focused on identifying computational solutions to advance their field. Workshop results will be published in the form of a workshop report and will be available electronically via the International Computer Science Institute (ICSI) website.The agenda for the 2-day meeting will be broken into four half-day sessions: three focused on grand challenges in the manufacturing enterprises of the 21st century and a fourth in which the first draft of the workshop report will be produced. Each of the grand challenge sessions will be co-organized by two individuals, one each from the manufacturing and computer science communities. Tentatively, the three grand challenge sessions will be: Data, Models and Representations in Manufacturing; Modular, Composable, and Open Manufacturing, and; Architecture and Virtualization, including efficiency, security, robustness.