FW-HTF-P: Connectivity and the Future of Remote Work

FW-HTF-P：连接性和远程工作的未来

• 批准号: 2128869
• 负责人: Toni Antonucci
• 金额: $ 15万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2128869&HistoricalAwards=false
• 关键词: FW; HTF; Connectivity; Future; Remote

The COVID-19 pandemic has resulted in unpredicted and unprecedented levels of remote working. There is an urgency for understanding the critical issues related to creating a dynamic, flexible workforce through connectivity, technology adoption and design, and life-long learning. This Future of Work at the Human-Technology Frontier (FW-HTF) Planning Grant project will lead to new knowledge for optimizing the use of existing and emerging technology as well as identify technology gaps that will further improve remote work and the experience of the worker. The project team will promote the progress of science by developing a dynamic ecological model for interpreting how humans interact with other people and equipment to perform jobs remotely. This model will have potential to guide the study and design of remote work and the development of new technology for the near and foreseeable future. The project team will use outcomes from this project to inform the design of a full FW-HTF research proposal. This project will advance the national prosperity and welfare by addressing issues impacting future remote work within the context of life-long learning, access and inclusion at multiple levels, and a fundamentally dynamic perspective on work and productivity. This FW-HTF project leverages the expertise of social scientists, engineers, and health professionals to plan a dynamic ecological model that will maximize benefits and minimize problems in the ever-expanding and evolving landscape of work. Project objectives include: 1) Identify characteristics of work that are or can be done remotely; 2) Create measures of productivity that flexibly meet the employers’ and remote workers’ needs; 3) Identify the major mental and physical stressors affecting remote workers; and 4) Identify current and future major technologies that make remote work possible. The project uses a mixed-methods sequential design approach to accomplish these goals. The project team will begin with secondary data analysis of the nationally representative Pew Survey of Work Patterns During The Pandemic. Informed by the results of the secondary analysis, they will conduct workshops with managers and interviews with workers from companies varying in size and industry (e.g. education, service, manufacturing), which will touch on similar topics, but from each groups’ perspective. Finally, the team will develop a survey instrument that will be administered to a nationally representative sample through the University of Michigan’s Survey of Consumer Attitudes ( a component of the Leading Economic Indicators). The nation is in the midst of a natural experiment that can provide insights to how it may be possible to optimize the potential of remote work in terms of productivity and worker well-being. This planning grant will provide the foundation for further research that can capitalize on that natural experiment to the benefit of national health, prosperity, and welfare.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.

2019冠状病毒病大流行导致了无法预测和前所未有的远程工作水平。通过连接、技术采用和设计以及终身学习，我们迫切需要了解与创建动态、灵活的劳动力相关的关键问题。人类技术前沿（FW-HTF）规划资助项目的“未来工作”项目将为优化现有和新兴技术的使用提供新知识，并确定技术差距，从而进一步改善远程工作和工人的体验。项目团队将通过开发一个动态生态模型来解释人类如何与其他人和设备进行远程工作，从而促进科学的进步。在不久的将来，这种模式将有可能指导远程工作的研究和设计，以及新技术的开发。项目团队将使用该项目的结果来设计完整的FW-HTF研究计划。该项目将在终身学习、多层次获取和包容的背景下解决影响未来远程工作的问题，并从根本上动态地看待工作和生产力，从而促进国家的繁荣和福祉。这个FW-HTF项目利用社会科学家、工程师和卫生专业人员的专业知识，规划一个动态生态模型，在不断扩大和不断变化的工作环境中实现利益最大化，并最大限度地减少问题。项目目标包括：1)确定可以或可以远程完成的工作特征；2)创建灵活满足雇主和远程工作者需求的生产力衡量标准；3)识别影响远程工作者的主要精神和身体压力源；4)确定当前和未来使远程工作成为可能的主要技术。该项目使用混合方法顺序设计方法来实现这些目标。项目小组将首先对具有全国代表性的皮尤大流行期间工作模式调查进行二级数据分析。根据二次分析的结果，他们将与管理人员进行研讨会，并与来自不同规模和行业的公司（例如教育，服务，制造业）的工人进行访谈，这将触及类似的主题，但从每个组的角度来看。最后，该小组将开发一种调查工具，通过密歇根大学的消费者态度调查（主要经济指标的一个组成部分）对具有全国代表性的样本进行管理。这个国家正在进行一项自然实验，它可以为如何在生产力和工人福祉方面优化远程工作的潜力提供见解。这项规划拨款将为进一步的研究提供基础，这些研究可以利用自然实验来造福国家的健康、繁荣和福利。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。