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Bridging Disciplinary Gaps in Studies of Human-Environment Relations

A Modelling Framework

Bibliographic Data

ID3077993
AuthorsMichael Hauhs (0000-0003-4672-5931, University of Bayreuth, corresponding author), Baltasar Trancón Y Widemann (0009-0005-6799-4155, Aicas (Germany)), Georg Klute (University of Bayreuth)
Year2018
Volume5
Issue2
Pages35-76
Publication date2018-01-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueModern Africa Politics History and Society (JOURNAL)
Journal identifiersISSN: 2336-3274 • E-ISSN: 2570-7558
PublisherUniversity of Hradec Kralove (PUBLISHER • CZ)
DOI10.26806/modafr.v5i2.196
OpenAlexW2782988360
LanguageEN
Citations received1

Modern human-environment relations are problematic and difficult to analyse in terms of nature and culture. Many authors suggest to abandon and overcome the nature-culture dichotomy in order to reorganise the academic division of labour, not only on environmental questions. Anthropologist Philippe Descola, for example, surveyed the empirical evidence of patterns in humanenvironmental relations, suggesting four abstract cosmologies. Here, we propose a translation into a modelling terminology, which is compatible with the formalisation of programmes in computer science. The generalised framework contains four ideal types of modelling paradigms. It can be tested on various other classification schemes in a number of disciplines. In each application, the categories of classification can be translated and then the patterns of the four logic types can be compared with the phenomenology of each case. Implications for interdisciplinary cooperation between science and the humanities are sketched for some environmental issues. This work demonstrates how tools from computer science can help, metaphorically, conceptually and technically, to organise interdisciplinary exchanges between science and the humanities. The categorical approach of applying the “divide and conquer†technique to different disciplinary models serves as a yardstick for comparing the implicit logic and modelling assumptions across examples whose phenomenological contents appear as unrelated. It gives useful hints how a dilemma of choosing between rigorous or relevant models can be resolved (e.g., in environmental science) and how the nature-culturedichotomy might be replaced by a general and flexible framework of a few model types

Bridging (networking · Categorical variable · Categorization · CLARITY · Data science · Dilemma · Discipline · Epistemology · Management science · Social science · Sociology · Terminology · Computer Science · Semantic Web and Ontologies · Artificial Intelligence

  • Maasai perspectives on modernity

    Vanessa Wijngaarden•Critical African Studies•2020

Unique citing works1
Citations per year0,17
Citation span2020 - 2020 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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