
TL;DR
This paper discusses the shift towards complexity science, critiques common explanations for this change, and introduces a special journal issue on understanding complexity in scientific research.
Contribution
It provides a critical analysis of the recent scientific paradigm shift towards complexity and previews the papers in a special issue dedicated to this topic.
Findings
Most explanations focus on long-standing properties like non-linearity
The era of complexity marks a significant change in scientific activity
The paper reviews key themes and contributions in the special issue
Abstract
The century of complexity has come. The face of science has changed. Surprisingly, when we start asking about the essence of these changes and then critically analyse the answers, the result are mostly discouraging. Most of the answers are related to the properties that have been in the focus of scientific research already for more than a century (like non-linearity). This paper is Preface to the special issue "Grasping Complexity" of the journal "Computers and Mathematics with Applications". We analyse the change of era in science, its reasons and main changes in scientific activity and give a brief review of the papers in the issue.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
