AccelNet: Catalyzing international convergence research networks to transform human-computer relationships for the future of work
AccelNet: Catalyzing international convergence research networks to transform human-computer relationships for the future of work
批准号:
1927469
负责人:
Emily Moore
金额:
$66.54万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-01 至 2024-07-31
中文摘要
美国的劳动力正在发生变化,技术也在快速发展。美国劳动力正在转变,包括更多的少数民族多样性和老年工人,这与该国不断变化的人口结构相一致。越来越多的工人从事远程工作和分布式小组工作,工作场所的任务正在发生变化,并且越来越依赖于技术来支持工作努力。随着技术的发展,新技术有许多未被开发的机会来重组工作场所和工作任务,以支持日益多样化的人群发展新技能,并比以往任何时候都更轻松、更有成就感地完成更复杂的任务。这个AccelNet项目的目标是加速科学发现,使美国劳动力受益。在创建工作中的人机关系(HCR@W)网络网络时,PI团队将汇集国际成员网络,包括旨在支持具有不同需求的人们的包容性技术的网络,为高度复杂的任务设计的先进技术,以及旨在支持新知识和技能学习的教育技术。他们将通过学生、研究员和驻校学者项目建立跨学科的紧密联系,集体创造目标场景,并为工作和劳动力准备创造和测试新型互动和环境的原型,其中先进的人机关系是核心。在这个催化加速项目中,pi团队参与了一个便利的反思过程,以确定共同的障碍,并制定了一套社区范围的目标方案,以创建共同的战略愿景,并确定关键的研究重点。该网络的参与者通过在一系列会议研讨会和驻校学者计划中的合作,推进这些研究重点。在会议研讨会上,参与者聚集在一起,协作解决确定为进步所必需的关键主题。通过“驻校学者”项目,研究生、博士后和早期职业研究人员可以跨越国际和学科边界,进行长期的研究访问,以发展和测试网络合作中产生的想法。此外,一个便利的在线同伴指导计划为研究员提供专业发展机会,支持强大社会网络的发展,并推进融合研究和网络领导力的知识。利用基于证据的网络领导实践和公平协作,结合社会网络分析方法,PI团队跟踪不断增长的网络网络,确定进一步的结盟机会,并解决网络差距和挑战。成果将包括新的国际合作,促进未来劳动力的研究,以及涵盖人类多样性的新技术和人机界面,能够支持人类学习和开展复杂工作。此外,该项目还为学生、博士后和早期职业研究人员提供了有效的网络领导实践、网络领导和融合研究的专业发展的社区知识。通过国际网络对网络合作加速研究(AccelNet)计划旨在加速科学发现的进程,并为下一代美国研究人员进行多团队国际合作做好准备。AccelNet项目支持美国研究网络与国外互补网络之间的战略联系,将利用研究和教育资源来应对需要重大国际协调努力的重大科学挑战。该项目由动力学、控制和系统诊断项目(ENG/CMMI)共同资助。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The US workforce is changing, while technology is evolving at a rapid pace. The US workforce is shifting to include greater minority diversity and older workers, consistent with the changing demographics of the country. More workers are engaging in work remotely and working in distributed groups, workplace tasks are changing, and there is increasing reliance on technology to support work efforts. As technology evolves, there are many under-explored opportunities for new technologies to restructure workplaces and work tasks to support an increasingly diverse population in developing new skills and accomplishing more complex tasks with greater ease and fulfillment than ever before. This AccelNet project has the goal of accelerating scientific discovery to benefit the US workforce. In creating the Human-Computer Relationships at Work (HCR@W) network-of-networks the PI team will bring together international member networks including networks advancing inclusive technologies designed to support people with diverse needs, advanced technologies designed for highly sophisticated tasks, and educational technologies designed to support the learning of new knowledge and skills. They will establish strong connections across disciplines through student and researcher Fellows and Scholar-in-Residence programs, the collective creation of target scenarios, and creating and testing prototypes of novel interactions and contexts for work and workforce preparation in which advanced human-computer relationships are central.In this Catalytic Accelnet project, the PI-team engages in a facilitated process of reflection to identify common barriers and develop a set of community-wide target scenarios to create a shared strategic vision and define critical research priorities. The participants in this network-of-networks advance these research priorities through collaboration at a series of conference workshops and a Scholars-in-Residence program. At conference workshops, participants gather to collaboratively address key topics identified as necessary for advancements. Through the Scholars-in-Residence program, graduate students, postdocs, and early career researchers cross international and disciplinary borders on extended research visits to develop and test ideas that emerge from network-of-network collaborations. Additionally, a facilitated online peer mentoring program provides professional development opportunities for Fellows, supporting the development of a strong social network and advancing knowledge of convergence research and network leadership. Utilizing evidence-based practices of network leadership and fair collaboration coupled with social network analysis methods, the PI team tracks the growing network-of-networks, identify further opportunities for alignment, and address network gaps and challenges. Outcomes will include new international collaborations advancing research for the future workforce, and novel technologies and human-computer interfaces that are inclusive to the full spectrum of human diversity and capable of supporting humans in learning and conducting complex work. Additionally, this project advances the community's knowledge of effective network-of-network leadership practices and professional development of network leadership and convergence research for students, postdocs, and early-career researchers.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts. This project was co-funded by the Dynamics, Control and Systems Diagnostics program (ENG/CMMI).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.
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