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Towards a Link between Quantitative and Qualitative Sciences to Understand Social Systems Using the Example of Informal Settlements

Friesen, John (2024)
Towards a Link between Quantitative and Qualitative Sciences to Understand Social Systems Using the Example of Informal Settlements.
In: Entropy, 2023, 25 (2)
doi: 10.26083/tuprints-00026464
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (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 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.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Friesen, John
Art des Eintrags: Zweitveröffentlichung
Titel: Towards a Link between Quantitative and Qualitative Sciences to Understand Social Systems Using the Example of Informal Settlements
Sprache: Englisch
Publikationsjahr: 30 September 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2023
Ort der Erstveröffentlichung: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Entropy
Jahrgang/Volume einer Zeitschrift: 25
(Heft-)Nummer: 2
Kollation: 14 Seiten
DOI: 10.26083/tuprints-00026464
URL / URN: https://tuprints.ulb.tu-darmstadt.de/26464
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Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (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 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.

Freie Schlagworte: informal settlements, slums, slum-modeling, social modeling, self-organization
ID-Nummer: 262
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-264646
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 300 Sozialwissenschaften > 300 Sozialwissenschaften, Soziologie
500 Naturwissenschaften und Mathematik > 510 Mathematik
700 Künste und Unterhaltung > 710 Landschaftsgestaltung, Raumplanung
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006)
Hinterlegungsdatum: 30 Sep 2024 09:58
Letzte Änderung: 04 Okt 2024 08:26
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