Difference between revisions of "Methods of Environmental Sciences"
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==== Definition & History of Methods ==== | ==== Definition & History of Methods ==== | ||
| + | Within this lecture we deeply focus on the formation of a new arena in science that is including not only system knowledge, but also normative knowledge as well as transformative knowledge. In order to create solution for the problems we currently face, a solution orientated agenda is necessary. This may demand the creation of novel methodological pathways to knowledge creation. Here, we give a tentative overview on the developments up until now. | ||
* [[History of Methods in Sustainability Science]] | * [[History of Methods in Sustainability Science]] | ||
| − | ==== | + | ==== Design Criteria of Methods in Sustainability Science ==== |
| + | There are several design criteria that allow you to systematise methods. Many of these criteria are part of the “usual suspects” in normal science ''sensu strictu'' Kuhn. Here, we discuss further design criteria and knowledge types that can be relevant to systematise knowledge production through methods for sustainability science. | ||
* [[Design Criteria of Methods in Sustainability Science]] | * [[Design Criteria of Methods in Sustainability Science]] | ||
| − | ==== [[Thought | + | ==== [[Thought Experiments]] & [[Legal Research]] ==== |
==== Quantitative Methods in the Humanities ==== | ==== Quantitative Methods in the Humanities ==== | ||
* [[Causality and correlation]] | * [[Causality and correlation]] | ||
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| − | ==== [[ | + | ==== [[Geographical Information Systems]] ==== |
==== [[Grounded Theory]] ==== | ==== [[Grounded Theory]] ==== | ||
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==== The ecological experiment ==== | ==== The ecological experiment ==== | ||
| − | * [[Experiments and | + | * [[Experiments and Hypothesis Testing]] |
==== Causal Loop Diagrams ==== | ==== Causal Loop Diagrams ==== | ||
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==== Questioning the status quo in method-driven research ==== | ==== Questioning the status quo in method-driven research ==== | ||
| − | * [[ | + | * [[Questioning the status quo in methods]] |
==== [[Social Network Analysis]] ==== | ==== [[Social Network Analysis]] ==== | ||
| − | ==== [[Meta-Analysis]] | + | ==== Meta-Analysis ==== |
| + | * [[Meta-Analysis]] | ||
| + | * [[Systematic Literature Review]] | ||
==== Mixed Methods in transdisciplinary research ==== | ==== Mixed Methods in transdisciplinary research ==== | ||
* [[Transdisciplinarity]] | * [[Transdisciplinarity]] | ||
| − | * [[Visioning]] | + | * [[Visioning & Backcasting]] |
* [[Scenario Planning]] | * [[Scenario Planning]] | ||
* [[Living Labs & Real World Laboratories]] | * [[Living Labs & Real World Laboratories]] | ||
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[[Category: Courses]] | [[Category: Courses]] | ||
Latest revision as of 10:41, 20 January 2021
The course Methods of Environmental Sciences covers a broad cross-section of those scientific methods and approaches that are central to sustainability research as well as further Wiki entries that frame the presented methods in the light of the Wiki's conceptual perspective.
Contents
- 1 Definition & History of Methods
- 2 Design Criteria of Methods in Sustainability Science
- 3 Thought Experiments & Legal Research
- 4 Quantitative Methods in the Humanities
- 5 Geographical Information Systems
- 6 Grounded Theory
- 7 Interviews
- 8 The ecological experiment
- 9 Causal Loop Diagrams
- 10 Questioning the status quo in method-driven research
- 11 Social Network Analysis
- 12 Meta-Analysis
- 13 Mixed Methods in transdisciplinary research
Definition & History of Methods
Within this lecture we deeply focus on the formation of a new arena in science that is including not only system knowledge, but also normative knowledge as well as transformative knowledge. In order to create solution for the problems we currently face, a solution orientated agenda is necessary. This may demand the creation of novel methodological pathways to knowledge creation. Here, we give a tentative overview on the developments up until now.
Design Criteria of Methods in Sustainability Science
There are several design criteria that allow you to systematise methods. Many of these criteria are part of the “usual suspects” in normal science sensu strictu Kuhn. Here, we discuss further design criteria and knowledge types that can be relevant to systematise knowledge production through methods for sustainability science.
