Workshop: Industry-Academe research partnerships to enable the human-technology frontier for next generation smarter service systems
Workshop: Industry-Academe research partnerships to enable the human-technology frontier for next generation smarter service systems
批准号:
1655029
负责人:
Yasaman Moghaddam
金额:
$4.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-01-01 至 2017-12-31
中文摘要
该奖项将支持由国际服务创新专业人士协会(ISSIP)组织的为期两天的研讨会,该研讨会将于2017年冬季在加州硅谷举行。研讨会将汇集来自全国和世界各地的工业和学术研究人员。来自不同学术领域和应用领域的工业和学术参与者被认为是思想领袖,他们将讨论一个长期的人类技术研究议程,这将使未来的智能服务系统成为可能。服务业对美国GDP的贡献超过75%,并提供近80%的就业机会。已经证明,技术的整合作为人类工人的辅助手段,可以通过增强人类在工作场所的能力来显著提高生产力。因此,在未来的几十年里,服务系统中基于技术的创新对美国经济具有巨大的重要性。智能服务系统也有潜力成为解决重大社会问题的社会创新渠道。研讨会的议程可以通过确定行业面临的重大挑战,对美国经济产生变革性影响,而不是针对今天的服务系统,而是针对20-30年后的服务系统。最终目标是引起学术界对技术的学术研究的关注,这些技术目前既不是工业界也不是学术界正在研究的,但对于实现下一代服务系统是必要的。这些未来的服务很可能是通过建筑环境的自动化来实现的,这些环境能够通过与人类合作来提供创新的服务,从而造福个人和社会。例如,环境智能、认知环境、虚拟助手、服务机器人、智能汽车、智能基础设施、自主系统或各种智能设备,所有这些都是通过物联网和其他通信范式实现的。学术研究人员将被吸引到研究这些挑战的院系将是多样化的。参与者的选择是基于不同研究领域的广泛专业知识,包括工程、信息技术、计算机科学、运营、优化以及社会和行为科学。特别是,已经对跨学科合作感兴趣的研究人员将被邀请。将召集世界500强企业智能服务领域的行业研究人员。ISSIP拥有1000多名来自不同行业、学术界和政府背景的成员,在召集这一独特群体方面具有独特的优势。主办研讨会的合作机构是国际服务创新专业人员协会,圣何塞州立大学(圣何塞,加利福尼亚州)和IBM研究院,IBM(圣何塞,加利福尼亚州)。
英文摘要
This award provides support to conduct a 2-day workshop organized by the International Society of Service Innovation Professionals, ISSIP, to take place in the winter of 2017 in Silicon Valley, California. The workshop will bring together industry and academic researchers from around the country and the world. Industrial and academic participants who are considered thought leaders from a variety of academic fields and areas of application will discuss a long-term human-technology research agenda that will enable the smart service systems of the future. Service systems contribute to more than 75% of the U.S. GDP and provide close to 80% of employment. It has been demonstrated that the integration of technology as an aid to the human worker can result in dramatic improvements in productivity by augmenting human capabilities in the workplace. Hence, in the next few decades technology-based innovations in service systems can have enormous economic importance for the United States. Smart service systems also have the potential to become the conduit for social innovations addressing major societal problems. The agenda of the workshop can have transformative impact on the US economy and beyond by identifying the grand challenges that industry faces, not for today's service systems, but for the service systems envisioned in 20-30 years. The ultimate objective is to bring attention of academic research on technologies that neither industry nor academia are working on at the moment but that are necessary to enable this next generation of service systems. These futuristic services are likely to be enabled by the automation of the built environment capable of providing innovative services by teaming with humans for the benefit of individuals and society. Examples are those enabled by ambient intelligence, cognitive environments, virtual assistants, service robots, intelligent vehicles, smart infrastructure, and autonomous systems or intelligent devices of all sorts, all networked by the internet of things and other communication paradigms. The departments from where academic researchers will be drawn to work on these challenges will be diverse. Participants have been selected based on a broad range of expertise across a variety of research fields, including engineering, information technology, computer science, operations, optimization, and social and behavioral sciences. In particular, researchers who are already interested in trans-disciplinary collaborations will be invited. Industry researchers from Fortune 500 companies in the smart services space will be summoned. With more than a 1000 members with diverse backgrounds representing industry, academia, and government, ISSIP is uniquely positioned to convene this distinct group. The collaborating institutions organizing the workshop are the International Society of Service Innovation Professionals, San Jose State University (San Jose, CA) and IBM Research, IBM (San Jose, CA)
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会议论文
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