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Studying Complexity of Social Systems: Emerging Inter- and Multi-Disciplinarity of Qualitative and Quantitative Approaches

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".

Deadline for manuscript submissions: closed (1 November 2022) | Viewed by 2152

Special Issue Editor


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Guest Editor
Faculty of Management, Cracow University of Economics, Rakowicka 27, 31-510 Kraków, Poland
Interests: management; project management; systems studies; complexity of social systems; game theory; negotiation and conflict; corporate governance

Special Issue Information

Dear Colleagues,

Inter- and multidisciplinarity are essential in studying complex social systems understood as elements and their interactions. It is necessary to remember two fundamental paradoxes. First, there is no commonly accepted set of definitions for the complexity of social systems. Second, any kind of social system can be described and studied with any model of collective behavior drawn from physics, chemistry, control theory, etc. Everything depends on the choice of border conditions concerning the definition of a “social system”. In consequence of these paradoxes, an unlimited number of mathematical models depicting the complexity of the social phenomena can be produced. Very often, such models lack a necessary profound interpretation deriving from social theory. On the opposite side, qualitative ideas of complexity applied in social sciences need more advanced mathematical models.

This situation creates two challenges: a necessary high level of understanding of the social theories by the authors of mathematical models and a deeper understanding of mathematical models by specialists from social sciences. 

Theoretical and empirical papers linking mathematical modeling of collective social phenomena with a deepened level of phenomenological interpretations are welcome. We also invite attempts to develop mathematical models of complexity-related concepts which are treated as qualitative but can and should be extended with mathematical modeling, e.g., the social complexity of Niklas Luhmann. 

The proposed approach is especially important in (among others) the following areas:

  • Management and project management;
  • Political, economic, and social governance;
  • The studies of economic and social inequality (complexity-based models and more profound economic/social/political interpretations);
  • Industry 4.0 and Industrial Revolution 4.0, where deepened analyses of complexity and of its consequences are urgently needed at present;
  • Global systemic changes, not only The Great Reset.

Prof. Dr. Czeslaw Mesjasz
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • complexity of social systems
  • game theory
  • interdisciplinarity
  • management
  • measurement
  • multidisciplinarity
  • phenomenology
  • observer and complexity
  • project management
  • operationalization
  • social theory
  • scaling
  • social systems

Published Papers (1 paper)

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14 pages, 4749 KiB  
Opinion
Towards a Link between Quantitative and Qualitative Sciences to Understand Social Systems Using the Example of Informal Settlements
by John Friesen
Entropy 2023, 25(2), 262; https://0-doi-org.brum.beds.ac.uk/10.3390/e25020262 - 31 Jan 2023
Cited by 1 | Viewed by 1411
Abstract
Urbanization is one of the defining trends of our time and appropriate models are needed to anticipate the changes in cities, which are largely determined by human behavior. In the social sciences, where the task of describing human behavior falls, a distinction is [...] Read more.
Urbanization is one of the defining trends of our time and appropriate models are needed to anticipate the changes in cities, which are largely determined by human behavior. In the social sciences, where the task of describing human behavior falls, a distinction is made between quantitative and qualitative approaches, each of which has its own advantages and disadvantages. While the latter often provide descriptions of exemplary processes in order to describe phenomena as holistically as possible, the goal of mathematically motivated modeling is primarily to make a problem tangible. Both approaches are discussed in terms of the temporal evolution of one of the dominant settlement types in the world today: informal settlements. These areas have been modeled in conceptual works as self-organizing entities and in mathematical works as Turing systems. It is shown that the social issues surrounding these areas need to be understood both qualitatively and quantitatively. Inspired by the philosopher C. S. Peirce, a framework is proposed in which the various modeling approaches describing these settlements can be combined to arrive at a more holistic understanding of this phenomenon by using the language of mathematical modeling. Full article
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