Handbook of Research Methods in Complexity Science: Theory and Applications
By: and and
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- Synopsis
- This comprehensive Handbook is aimed at both academic researchers and practitioners in the field of complexity science. The book’s 26 chapters, specially written by leading experts, provide in-depth coverage of research methods based on the sciences of complexity. The research methods presented are illustratively applied to practical cases and are readily accessible to researchers and decision makers alike. The Handbook’s wide range of research methods are clearly illustrated with case studies that demonstrate their practical application. They range from the regeneration of communities to musical performance; from complex governance networks to psychotherapy; from gender dynamics to agent-based modelling; and the appropriate response to pandemics. Some unusual research methods – based on art, psychology and multi-level networks – are also included. Furthermore, the book incorporates discussions on the philosophical aspect of research methods and explores important theoretical concepts, such as exaptation, emergence, self-organisation and co-evolution. This is an ideal resource for academics and researchers in the field seeking and exploring new research methods. For decision makers and researchers trying to address complex challenges it will be an essential source of inspiration that will arm them with effective state-of-the-art research methods for the future.
- Copyright:
- 2018
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 640 Pages
- ISBN-13:
- 9781785364426
- Related ISBNs:
- 9781785364419
- Publisher:
- Edward Elgar Publishing
- Date of Addition:
- 09/23/20
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Reference, Business and Finance, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Eve Mitleton-Kelly
- Edited by:
- Alexandros Paraskevas
- Edited by:
- Christopher Day
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- by Eve Mitleton-Kelly
- by Alexandros Paraskevas
- by Christopher Day
- in Nonfiction
- in Reference
- in Business and Finance
- in Mathematics and Statistics