Workshop: PFI: BIC Smart Service Systems Grantees Meeting and Workshop toward Building a Rigorous Research Agenda for Service Systems.

该奖项将为2014年11月20日至22日在马萨诸塞州理工学院（MIT）举办为期三天的研讨会提供支持。该研讨会的麻省理工学院的智力家园将是工程学院的社会技术系统研究中心。来自全国各地的系统工程、计算机科学和认知工程/人为因素等领域的60名研究人员将参加。服务系统中基于技术的创新可能对美国具有巨大的经济重要性，服务系统贡献了美国GDP的75%，提供了近80%的就业机会。涉及智能技术的创新服务有可能成为解决重大社会问题的社会创新渠道。为了实现这一目标，它们的设计必须考虑到人类用户或受益者。设计未来的系统将需要跨学科的工作，包括了解人为因素的学科（如认知工程和行为科学）与那些了解技术和适当的工程设计（如计算机科学和系统工程）。NSF已经通过2014年PFI对转化研究的初步投资为实现这一愿景做出了贡献：BIC计划征集（NSF 13-587）首次关注将智能技术集成到需要人因工程组件的服务系统中。然而，为了加速具有重大社会影响的智能服务系统的创新，不仅要投资于能够实现智能系统的技术，而且要了解社会技术系统的行为以及不同的设计方案如何产生不同的系统行为。 这显然是一个跨学科的基础研究挑战，涉及多个学科，以产生这些领域交叉的知识。研讨会将召集来自企业，工业和政府的多个科学领域的专家：1）为潜在的PFI：BIC提案者以及目前的PFI：BIC获奖者提供一个与行业代表交流思想和互动的场所，以提高计划的成功率。 受邀的行业代表将把他们的服务创新研究挑战摆在桌面上，并将提出适合智能服务系统中的行业合作伙伴关系的研究问题类型。(2)介绍与服务科学和建模/设计复杂服务系统相关的领域的最新技术，从而为跨学科边界的基础研究问题的识别提供背景。这是确定需要填补的差距以推进前沿的起点。(3)引出需要解决的基础研究挑战（基本理解和建模），以实现以人为本和以技术为基础的智能服务系统;以及需要解决的工程和计算机科学研究挑战，以推进技术，在基于服务系统的社会创新背景下产生更广泛的社会影响。(4)制定愿景和明确的基础研究议程，包括研究目标，研究目标和服务系统的研究计划。研究计划应该为不同的学科划分角色，并明确合作的动机;包括工程师，认知或行为科学家和计算机科学家。来自代表性不足的群体的几位科学家将被邀请参加研讨会，麻省理工学院的学生将有机会展示他们在服务系统主题方面的研究工作。

This award will provide support to conduct a three-day workshop at the Massachusetts Institute of Technology (MIT) on November 20-22, 2014. The MIT-based intellectual home of the workshop will be the Sociotechnical Systems Research Center in the School of Engineering. Sixty researchers from around the country in fields such as systems engineering, computer science, and cognitive engineering/human factors will participate. Technology-based innovations in service systems could have enormous economic importance for the U.S. Service systems contribute to 75% of the U.S. GDP and provide close to 80% of employment. Innovative services involving smart technologies have the potential to become the conduit for social innovations addressing major societal problems. To achieve this goal, they are to be designed with the human user or beneficiary in mind. Engineering the systems of the future will require interdisciplinary work involving disciplines that understand human factors (such as cognitive engineering and behavioral science) together with those that understand the technology and appropriate engineering design (such as computer science and systems engineering).Already, NSF is contributing to the realization of this vision through its initial investments in translational research by the 2014 PFI:BIC program solicitation (NSF 13-587) focused for the first time on the integration of smart technologies into service systems requiring a human factors engineering component. However, to accelerate innovation in smart service systems with major societal impact, it is essential that investments be made not only in the technologies that can enable smarter systems, but also in understanding the behavior of the socio-technical systems and how different design alternatives can generate different system behaviors. This is clearly an interdisciplinary fundamental research challenge that involves several disciplines to generate knowledge at the intersection of those fields.The Workshop will convene experts from multiple scientific fields in academe, industry, and government:1) To provide a venue for potential PFI:BIC proposers as well as for current PFI:BIC awardees to exchange ideas and interact with industry representatives in the interest of enhancing success in the program. Invited industry representatives will bring their service innovation research challenges to the table and will present the types of research problems that lend themselves to academe-industry partnerships in smart service systems.(2) To present the state of the art in the fields related to service science and modeling/designing complex service systems, thus providing context for the identification of fundamental research problems that will cross disciplinary boundaries. This is the starting point for identifying the gaps that need to be filled in order to advance the frontier.(3) To elicit fundamental research challenges (basic understanding and modeling) that need to be addressed to enable human-centered and technology-based smart service systems; and engineering and computer science research challenges that need to be addressed to advance technologies with potential for broader societal impact in the context of social innovation based on service systems.(4) To develop a vision and a well-defined fundamental research agenda that includes research goals, research objectives, and a research plan for service systems. The research plan should delineate roles for the different disciplines and a clear motivation to work together; including engineers, cognitive or behavioral scientists and computer scientists.Several scientists from underrepresented groups will be invited to the workshop, and students at MIT will have an opportunity to present their research work on service systems topics.