MISQ Knowledge Sharing Session on Causality in Quantitative IS ResearchDate: March 16/17, 2022Apply here (applications close March 10, 2022):
Details: Would you like to know how MISQ editors think about major methodological issues? Following our successful knowledge-sharing session (on machine learning) last November, we are delighted to invite you to our second session – on causality in quantitative IS research.
As a 'big tent' journal, we proudly support and celebrate scholarship right across the many genres (and combinations of genres) in our field. We will cover other genres in future sessions, so stay tuned! We are focusing this session on causality in quantitative IS research because we have seen several interrelated trends over the last decade, both in IS research and across other fields:
If you are interested in how we think about these and related trends on the MISQ Editorial Board, come along to learn from our editors: Senior Editor Sunil Mithas and Associate Editors Ling Xue and Nina Huang. Moderated by Professor Andrew Burton-Jones, Editor-in-Chief of MIS Quarterly, we invite you to join us, learn from our editors, and take the opportunity to ask questions.
SESSION DETAILS – March 16/17
Time 1: Chosen for Europe, Africa, Asia, and parts of the Americas
Time 2: Chosen for the Americas
Register here (registrations close March 10):