2019
DOI: 10.1007/978-3-030-12723-7_9
|View full text |Cite
|
Sign up to set email alerts
|

Trowels, Processors and Misunderstandings: Concluding Thoughts

Abstract: This conclusive text deals with the challenges of interdisciplinarity: Although conceptual and formal thresholds are well known within the scientific community, one may encounter difficulties for answering such related requirements: among them, the tension between the inherent holistic pretence of modelling and datarelated prosaicism is important as well as the simple fact that things, practices, assumptions and words are not the same among disciplines inducing unsolved misconceptions, misunderstandings and so… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(6 citation statements)
references
References 4 publications
0
1
0
Order By: Relevance
“…We propose formal computational modelling as a platform for solving many of these issues. We acknowledge that we are far from the first to highlight the potential of modelling for the study of SES (e.g., [111][112][113][114][115]), and here we draw on some of this work to explore these challenges in more depth, namely: (a) how modelling can be effectively deployed as a transdisciplinary platform; (b) the incommensurability of different data; (c) the question of which scale(s) to work in; and (d) the practicalities of transdisciplinary work in the current academic landscape. In the process, we identify ways in which modelling may help overcome these challenges.…”
Section: Transdisciplinary Integration Through Computational Modellingmentioning
confidence: 99%
See 3 more Smart Citations
“…We propose formal computational modelling as a platform for solving many of these issues. We acknowledge that we are far from the first to highlight the potential of modelling for the study of SES (e.g., [111][112][113][114][115]), and here we draw on some of this work to explore these challenges in more depth, namely: (a) how modelling can be effectively deployed as a transdisciplinary platform; (b) the incommensurability of different data; (c) the question of which scale(s) to work in; and (d) the practicalities of transdisciplinary work in the current academic landscape. In the process, we identify ways in which modelling may help overcome these challenges.…”
Section: Transdisciplinary Integration Through Computational Modellingmentioning
confidence: 99%
“…Attempts to address this, for instance by formalizing criteria for comparing results beyond a simple juxtaposition of data collections, can be interpreted as overbearing attempts to encroach into other disciplines and consequently met by academic 'boundary policing'. The corollary of this is of course that genuine transdisciplinarity requires a certain amount of trust between disciplines [114]. Not everyone-perhaps no one individual-in the team will genuinely understand at a fundamental level every aspect of the project: if they did, there would be no need for collaboration.…”
Section: The (Im)practicalities Of Transdisciplinaritymentioning
confidence: 99%
See 2 more Smart Citations
“…The program has led to the development of the Indus Village, a modular multi-paradigm agent-based simulation model designed to represent environmental and human factors as a single unified system [21]. Modeling has been carried out within the spirit of creating a virtual laboratory for socioecological systems, following a twodecade-wide trend in computational archaeology [22][23][24][25][26][27][28][29][30]. The Indus Village is directed toward addressing how and when food production diversity is adaptive and, conversely, under which conditions, if at all, such diversity would be adverse to urbanization.…”
Section: Introductionmentioning
confidence: 99%