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Modeling group and individual learning: lessons for integrating disciplines and agile research
Author(s) -
Anderson Edward G.,
Lewis Kyle
Publication year - 2019
Publication title -
system dynamics review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 57
eISSN - 1099-1727
pISSN - 0883-7066
DOI - 10.1002/sdr.1636
Subject(s) - agile software development , field (mathematics) , computer science , complement (music) , context (archaeology) , work (physics) , knowledge management , social dynamics , management science , system dynamics , data science , systems engineering , software engineering , engineering , artificial intelligence , mechanical engineering , paleontology , biochemistry , chemistry , mathematics , complementation , biology , pure mathematics , gene , phenotype
We discuss the genesis of the paper for which the 2018 Forrester Award has been given. We then summarize its findings and put it into the context of the research streams in which it is embedded. We also describe the effects of the award paper on subsequent research. We then briefly discuss how laboratory experiment, field, and modeling work can complement each other in social systems research. Finally, we present some thoughts for leveraging the expertise of researchers and audiences from outside domains to the field of system dynamics, based on lessons from our work together as co‐authors and our mutual experience in project management, particularly in agile software development techniques. © 2019 System Dynamics Society