This professional development workshop (PDW) aims to promote disciplinary convergence among its participants in relation to work in the age of intelligent machines. Convergence is defined by the National Science Foundation as “the deep integration of knowledge, techniques, and expertise from multiple fields to form new and expanded frameworks” (NSF, 2017). Using this idea as an organizing principle, the PDW will introduce participants to the idea that by embracing research from other disciplines, researchers can inform our emergent conceptual foundations and concomitant strategies in relation to the transformation of work via artificial intelligence.

The PDW will pursue three goals: 1) identifying specific research problems around work and intelligent machines that require an interdisciplinary, convergent approach; 2) discussing how to develop a common language base that can facilitate interdisciplinary collaboration among researchers; and 3) imagining the necessary resources to support convergent research, including information and cyber-infrastructure needs.

To participate, please submit a position statement that expresses your interest in intelligent machines and their impacts on and implications for work. We encourage participation from any disciplinary perspective, including (but not limited to) urban planning, computer science, sociology, information systems, transportation, economics, psychology, law, media studies, engineering, public policy, artificial intelligence—any perspective that can help foster convergent thinking around this increasingly important topic in our society. 

Submission Guidelines

The following types of position statements are welcome:

Track 1: Current Empirical Research:  What is happening now? 

Position statements in this track should report on studies that examine the current state of the art with regard to intelligent machines and work.

Track 2: Research questions:  What will happen next?

Position statements in this track should identify generative research questions and potential study designs. For any particular question, we are especially interested in identifying necessary empirical requirements, including data, site access, etc. What would be needed to answer your question?

Statements should be submitted at the submission link above.

Venue

The PDW will be held in conjunction with the Academy of Management Annual Meeting in Chicago, IL. The workshop will begin at 9:30 am CT on Saturday 11 Aug 2018 in Swisshotel Montreux 3 and run to lunch. An optional off-site session will enable participants to continue their discussions.

Contact

All questions about submissions or the workshop should be emailed to aom18@waim.network

Sponsors

This workshop is part of a series sponsored by the Research Collaboration Network on Work in the Age of Intelligent Machines (NSF IIS-1745463).