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EPISODE · Sep 5, 2021 · 25 MIN

Coordinating Human and Machine Learning

from this IS research · host Nick Berente and Jan Recker

We are joined by Jin Gerlach to talk about the paper "Coordinating Human and Machine Learning for Effective Organizational Learning," which he co-authored with Timo Sturm, Luisa Pumplun, Neda Mesbah, Felix Peters, Christoph Tauchert, Ning Nan, and Peter Buxmann. We learn about how the idea came about, what the role of simulations is in IS research, and how you can manage an ambitious paper project using Scrum principles. Sturm, T., Gerlach, J. P., Pumplun, L., Mesbah, N., Peters, F., Tauchert, C., Nan, N., & Buxmann, P. (2021). Coordinating Human and Machine Learning for Effective Organizational Learning. MIS Quarterly, 45(3), 1581-1602.

Episode metadata supplied by the publisher feed · Published Sep 5, 2021

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Coordinating Human and Machine Learning

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