[AISWorld] Call for Participants: AoM PDW on "Computational Methods for Theory Building: Practices and Struggles"

[Seidel Stefan]

See https://2022.aom.org/meetings/virtual/N68gHGhWGPCfjr7gs

AoM PDW
Computational Methods for Theory Building: Practices and Struggles (session 814)

In this workshop, we aim to (a) present practical examples of how researchers address struggles associated with combining manual and computational approaches to theory building, (b) help authors who are facing those struggles, (c) discuss how this novel type of work can be reviewed, and (d) provide a forum to discuss the next steps in developing this new methodological stream.

Participants must submit a short vignette until July 25 (approx. 1-2 pages as PDF to stefan.seidel at uni.li<mailto:stefan.seidel at uni.li>) highlighting how they combined computational and manual analysis techniques in their research, and what struggles they faced in understanding, using, or considering using computational methods in their theory development work. Those who have not conducted any such research, but are planning to do so, can submit short descriptions of their intended work, also focusing on their planned combination of manual and computational techniques or related questions.

There will be presentations by experienced scholars. The vignettes will be discussed in round tables with commentators.

Time & Date: 10:00 PM - 12:30 AM CEST on Sunday, 7 August

The workshop will be hybrid interactive: Seattle + virtual. On-site participation is encouraged.

Presenters and Commentators
Malmi Amadoru, Queensland University of Technology
Vivianna Fang He, ESSEC Business School
Hila Lifshitz-Assaf, New York University
Aron Lindberg, Stevens Institute of Technology
Shaila Miranda, University of Oklahoma
Brian Pentland, Michigan State University
Suprateek Sarker, University of Virginia
Emmanuelle Vaast, McGill University
Youngjin Yoo, Case Western Reserve University
Organizers
Natalia Levina, New York University, nl28 at stern.nyu.edu<mailto:nl28 at stern.nyu.edu>
Semi Min, New York University, smin at stern.nyu.edu<mailto:smin at stern.nyu.edu>
Stefan Seidel, University of Liechtenstein, stefan.seidel at uni.li<mailto:stefan.seidel at uni.li>