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The Dynamic Knowledge Loop:Inter- and Transdisciplinary Cooperation and Adaptation of Climate Change Knowledge 被引量:1
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作者 Maria Hagemeier-Klose Simone Annerose Beichler +1 位作者 Bart Jan Davidse Sonja Deppisch 《International Journal of Disaster Risk Science》 SCIE CSCD 2014年第1期21-32,共12页
The‘‘dynamic knowledge loop’’explores processes of knowledge generation,knowledge exchange,and social learning in inter-and transdisciplinary cooperation and relates them to adaptive capacity.Adaptive capacity bui... The‘‘dynamic knowledge loop’’explores processes of knowledge generation,knowledge exchange,and social learning in inter-and transdisciplinary cooperation and relates them to adaptive capacity.Adaptive capacity building can reduce vulnerabilities and enhance the resilience of urban regions towards the impacts of climate change.We use a mix of empirical methods and apply the dynamic knowledge loop as an innovative analytical tool.The added value of inter-and transdisciplinary cooperation concerning knowledge generation and facilitation of social learning is discussed by applying the dynamic knowledge loop to research about a scenario-planning process and a participatory mapping exercise in the urban region of Rostock,Germany.The results demonstrate that the scenario planning process allowed for a consideration of complex interrelations that have the potential for an integration of different influences,perspectives,and knowledge forms.Scenario planning facilitated social learning by creating a platform for integration and exchange of different epistemologies and for considering alternative futures.The participatory mapping exercise demonstrated the scientific value of the integration of local knowledge as well.Building upon these results,we stress the importance of knowledge generation,knowledge exchange,and social learning to build up adaptive capacity through different forms of cooperation between science and practice. 展开更多
关键词 Adaptive capacity Climate change interdisciplinary cooperation Knowledge exchange Social learning Transdisciplinary cooperation
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Identification of potential interdisciplinary cooperative topics based on co-word network:Taking LIS and computer science as an example
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作者 Changling Li Guoyang Rong +3 位作者 Kun Luan Xinxin Wang Lixu Shen Qingqing Fan 《Data Science and Informetrics》 2022年第3期64-81,共18页
[Purpose/significance]Interdisciplinary knowledge fusion plays a key role in promoting the development of interdisciplinary integration and providing new ideas for interdisciplinary cooperative research.This study set... [Purpose/significance]Interdisciplinary knowledge fusion plays a key role in promoting the development of interdisciplinary integration and providing new ideas for interdisciplinary cooperative research.This study sets out to identify potential interdisciplinary cooperative topics between Library and Information Science(LIS)and Computer Science.[Method/Process]We built an interdisciplinary co-word network to identify potential interdisciplinary cooperative topics by closed and opened irrelevant knowledge discovery methods.We also constructed the topic interdisciplinary cooperation potential index(TICPI)to calculate the interdisciplinary cooperation potential of the topic and found the best contact path of the cooperation topic by constructing the practicable value(PV)of the contact patch.[Result/Conclusion]The experimental data suggested that both methods can identify the same potential interdisciplinary cooperative topics,such as knowledge service&matrix decomposition,online comments&social media processing,academic text&generative adversarial network,network public opinion&smart home.Exploiting the cooperation potential of these topics can help the knowledge fusion between disciplines. 展开更多
关键词 interdisciplinary cooperative topics interdisciplinary research Irrelevant knowledge discovery Library and Information Science Computer Science
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