6 results on '"Oberlack, Christoph"'
Search Results
2. Institutions for sustainable forest governance : Robustness, equity, and cross-level interactions in Mawlyngbna, Meghalaya, India
- Author
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Oberlack, Christoph, Walter, Philipp LaHaela, Schmerbeck, Joachim, and Tiwari, B. K.
- Published
- 2015
3. Validity and validation in archetype analysis: practical assessment framework and guidelines
- Author
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Piemontese, Luigi, Neudert, Regina, Oberlack, Christoph, Pedde, Simona, Roggero, Matteo, Buchadas, Ana, Martin, Dominic A, Orozco, Richard, Pellowe, Kara, Segnon, Alcade C, Zarb��, Luc��a, and Sietz, Diana
- Subjects
validation ,validity ,551 Geologie, Hydrologie, Meteorologie ,ComputingMilieux_THECOMPUTINGPROFESSION ,Renewable Energy, Sustainability and the Environment ,Public Health, Environmental and Occupational Health ,sustainability science ,Bodemgeografie en Landschap ,TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES ,archetype analysis ,social-ecological systems ,ddc:551 ,Soil Geography and Landscape ,General Environmental Science - Abstract
Archetype analysis is a promising approach in sustainability science to identify patterns and explain mechanisms shaping the sustainability of social-ecological systems. Although considerable efforts have been devoted to developing quality standards and methodological advances for archetype analysis, archetype validation remains a major challenge. Drawing on the insights from two international workshops on archetype analysis and on broader literature on validity, we propose a framework that identifies and describes six dimensions of validity: conceptual; construct; internal; external; empirical; and application validity. We first discuss the six dimensions in relation to different methodological approaches and purposes of archetype analysis. We then present an operational use of the framework for researchers to assess the validity of archetype analysis and to support sound archetype identification and policy-relevant applications. Finally, we apply our assessment to 18 published archetype analyses, which we use to describe the challenges and insights in validating the different dimensions and suggest ways to holistically improve the validity of identified archetypes. With this, we contribute to more rigorous archetype analyses, helping to develop the potential of the approach for guiding sustainability solutions.
- Published
- 2022
4. Design and quality criteria for archetype analysis
- Author
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Eisenack, Klaus, Villamayor-Tomas, Sergio, Epstein, Graham, Kimmich, Christian, Magliocca, Nicholas, Manuel-Navarrete, David, Oberlack, Christoph, Roggero, Matteo, and Sietz, Diana
- Subjects
validity ,interdisciplinary collaboration ,QH301-705.5 ,Interdisciplinary collaboration ,Generalization ,Ideographic trap ,abstraction ,pattern ,Validity ,333.7 Natürliche Resourcen, Energie und Umwelt ,archetype analysis ,generalization ,ideographic trap ,panacea ,research design ,social-ecological systems ,qualitative ,quantitative ,Panacea ,ddc:570 ,ddc:333 ,Biology (General) ,QH540-549.5 ,Ecology ,Pattern ,Social-ecological systems ,Bodemfysica en Landbeheer ,Archetype analysis ,Soil Physics and Land Management ,Research design ,Abstraction ,Qualitative ,570 Biowissenschaften ,Biologie ,Quantitative - Abstract
Unidad de excelencia María de Maeztu MdM-2015-0552 A key challenge in addressing the global degradation of natural resources and the environment is to effectively transfer successful strategies across heterogeneous contexts. Archetype analysis is a particularly salient approach in this regard that helps researchers to understand and compare patterns of (un)sustainability in heterogeneous cases. Archetype analysis avoids traps of overgeneralization and ideography by identifying reappearing but nonuniversal patterns that hold for well-defined subsets of cases. It can be applied by researchers working in inter-or transdisciplinary settings to study sustainability issues from a broad range of theoretical and methodological standpoints. However, there is still an urgent need for quality standards to guide the design of theoretically rigorous and practically useful archetype analyses. To this end, we propose four quality criteria and corresponding research strategies to address them: (1) specify the domain of validity for each archetype, (2) ensure that archetypes can be combined to characterize single cases, (3) explicitly navigate levels of abstraction, and (4) obtain a fit between attribute configurations, theories, and empirical domains of validity. These criteria are based on a stocktaking of current methodological challenges in archetypes research, including: to demonstrate the validity of the analysis, delineate boundaries of archetypes, and select appropriate attributes to define them. We thus contribute to a better common understanding of the approach and to the improvement of the research design of future archetype analyses.
- Published
- 2021
5. Telecoupling visualizations through a network lens: a systematic review.
- Author
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Sonderegger, Gabi, Oberlack, Christoph, Llopis, Jorge C., Verburg, Peter H., and Heinimann, Andreas
- Subjects
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VISUALIZATION , *SCIENTIFIC visualization , *SCIENTIFIC literature , *DATA visualization - Abstract
Telecoupling is an integrative social-ecological framework that has made important contributions to understanding land change processes in a hyperconnected world. Visualizations are a powerful tool to communicate knowledge about telecoupling phenomena. However, little is known about current practices of telecoupling visualization and the challenges involved in visually displaying connections between multiple social-ecological systems. Our research takes stock of existing telecoupling visualizations and provides recommendations for improving current practices. We systematically review 118 visualizations presented in the scientific literature on telecoupling, and assess them in terms of their content and the adopted visualization approaches. To this end, we conceptualize telecoupling visualizations through a network lens. We find that they typically present networks of social-ecological systems, which are linked through flows. Displays of telecoupling connections through actor networks or action situation networks are less frequent. We categorize the existing visualizations into seven main types, which differ in terms of the visual encoding strategies used to represent telecoupling components. We then draw on insights from data visualization literature to reflect critically upon these current practices and provide practical recommendations. Finally, we show that network perspectives are inherent in telecoupling research and visualizations, and may deserve further attention in this field. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
6. Design and quality criteria for archetype analysis.
- Author
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Eisenack, Klaus, Villamayor-Tomas, Sergio, Epstein, Graham, Kimmich, Christian, Magliocca, Nicholas, Manuel-Navarrete, David, Oberlack, Christoph, Roggero, Matteo, and Sietz, Diana
- Subjects
- *
ARCHETYPES , *NATURAL resources , *QUALITY standards , *COMMON good - Abstract
A key challenge in addressing the global degradation of natural resources and the environment is to effectively transfer successful strategies across heterogeneous contexts. Archetype analysis is a particularly salient approach in this regard that helps researchers to understand and compare patterns of (un)sustainability in heterogeneous cases. Archetype analysis avoids traps of overgeneralization and ideography by identifying reappearing but nonuniversal patterns that hold for well-defined subsets of cases. It can be applied by researchers working in inter- or transdisciplinary settings to study sustainability issues from a broad range of theoretical and methodological standpoints. However, there is still an urgent need for quality standards to guide the design of theoretically rigorous and practically useful archetype analyses. To this end, we propose four quality criteria and corresponding research strategies to address them: (1) specify the domain of validity for each archetype, (2) ensure that archetypes can be combined to characterize single cases, (3) explicitly navigate levels of abstraction, and (4) obtain a fit between attribute configurations, theories, and empirical domains of validity. These criteria are based on a stocktaking of current methodological challenges in archetypes research, including: to demonstrate the validity of the analysis, delineate boundaries of archetypes, and select appropriate attributes to define them. We thus contribute to a better common understanding of the approach and to the improvement of the research design of future archetype analyses. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
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