Workshop: Human technology partnerships and the changing nature of work; Evanston, IL - November 2019
Workshop: Human technology partnerships and the changing nature of work; Evanston, IL - November 2019
批准号:
1940668
负责人:
Noshir Contractor
金额:
$5.0万
依托单位:
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:
2019-09-01 至 2024-02-29
中文摘要
技术正在从根本上改变工作的性质。 理解和设计与智能机器共享的工作的挑战需要一个新的交叉学科从当前的三个领域中发展出来。人类组织科学的重点是了解个人,团队,组织和行业如何互动。 技术专注于如何通过计算工作设计,人工智能和机器学习等新技术促进人类工作。 最后,新兴的数据科学领域专注于数据密集型科学和数据驱动的决策如何改变工作和组织。 这三个领域中的每一个-人类组织科学,技术和数据科学-都在理解和实现人类技术前沿工作的未来方面取得了惊人的进步。然而,在过去的十年里,越来越多的学者认识到,这三个领域中的松散连接网络将受益于更好的智力参与。本次研讨会的目的是促进与帮助形成在这三个领域的交叉点的研究议程的目标的参与。本次研讨会是专门针对绘制一个研究议程,是在最近的理论和经验的进展在三个相对不同的领域的连接。首先,人类组织科学探索了工作如何通过离岸(现在是回流),外包和众包,零工经济和共享经济等技术实现的新组织形式而改变。松散连接网络的第二个领域侧重于架构,设计,实施和评估平台,算法,智能代理,具体代理,机器人以及智能机器的技术,以促进人类技术前沿的未来工作。第三个领域探索数据科学方法,利用计算基础设施和数据流的进步来理解和实现人类技术前沿工作的未来。虽然我们在这三个领域都取得了重大的知识进步,但面临的挑战是制定一个建立在这三个领域协同作用基础上的研究议程。 研讨会上制定的研究议程和想法将是对社会工作未来前景的直接回应。 套用著名小说家和思想领袖威廉吉布森的话,未来就在这里--但它并不均匀分布。 这个研讨会的目标是利用最新的技术进步,但与这些技术发展所提供的社会动态的理性和原则性的理论和经验的理解,调和与技术发展相关的繁荣。这个奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
英文摘要
Technologies are fundamentally changing the nature of work. The challenge of understanding and designing work shared with intelligent machines requires a new interdiscipline to grow out of three current domains. The science of human organizing is focused on understanding how individuals, teams, organizations, and industries interact. Technologies focus on how human work can be facilitated by new technologies such as computational work design, artificial intelligence, and machine learning. Finally, the emerging field of data science is focused on how data-intensive science and data-driven decision-making can transform work and organizations. Each of these three domains -- science of human organizing, technologies and data science -- are making breathtaking advances in understanding and enabling the future of work at the human-technology frontier. However, over the past decade, there has been a growing recognition by scholars that the loosely-connected networks in each of these three domains would benefit from better intellectual engagement. The purpose of this workshop is to facilitate that engagement with the goal of helping shape a research agenda at the intersection of these three areas.This workshop is specifically geared towards charting a research agenda that is at the nexus of recent theoretical and empirical advances in three relatively disparate areas. First, the science of human organizing explores how work changes by novel forms of organizing enabled by technologies such as offshoring (and now reshoring), outsourcing and crowdsourcing, the gig economy and the sharing economy. The second domain of loosely-connected networks focuses on technologies to architect, design, implement and evaluate the platforms, algorithms, intelligent agents, embodied agents, robots as well as intelligent machines to facilitate the future of work at the human-technology frontier. The third domain explores data science methodologies that leverage advances in computing infrastructures and data streams to understand and enable the future of work at the human-technology frontier. While we have witnessed significant intellectual advances in each of these three areas, the challenge is to develop a research agenda that builds on the synergies across these three areas. The research agenda and ideas developed at the workshop will be a direct response to the promise of the future of work in society. To paraphrase the noted novelist and thought leader, William Gibson, the future is here -- but it is not evenly distributed. The goal of this workshop is to leverage recent technological advances but to temper the exuberance associated with technological developments with a reasoned and principled theoretical and empirical understanding of the social dynamics that are afforded by these technological developments.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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