Participant Support cost for Workshop: Human technology partnerships and the changing nature of work SP0056525

It is largely a truism that technologies are fundamentally changing the nature of work. The challenge of understanding and proactively designing work shared with (rather than simply replaced by) intelligent machines requires a new interdiscipline to grow out of disparate, or at best loosely connected, networks in three currently adjacent domains. The first domain of loosely connected networks is focused on understanding the science of human organizing, ranging in levels from the individual, team, multiteam systems (teams of teams), organizations, industries and up to the global labor workforce. More recently, these scholars have also begun to explore how the science of organizing is extended or upended by novel forms of organizing enabled by technologies such as offshoring (and now reshoring), outsourcing and crowdsourcing, the gig economy and the sharing economy. These efforts involves scholars in mostly social-science disciplines such as Communication, Economics, Law, Management Science, Psychology and Sociology. 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 (described at the start of this proposal) to facilitate the future of work at the human-technology frontier. These efforts involve scholars in areas such as Computer Science, Design Science, Human-Computer Interaction, Information Science and Robotics. The third domain of loosely-connected networks 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. These efforts involve scholars in areas such as Artificial Intelligence, Computational (including Agent-based) Modeling, Machine Learning, Network Science and Optimization. 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—and funders —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.