Towards a framework to guide and facilitate interdisciplinary social-ecological system research in practice.
AuthorWeber, Charlotte Teresa
This thesis is based on the following papers:
Paper I: Syed, S. & Weber, C.T. (2018). Using Machine Learning to Uncover Latent Research Topics in Fishery Models. Reviews in Fisheries Science & Aquaculture, 26(3), 319-336. Also available at https://hdl.handle.net/10037/14452.
Paper II: Weber, C.T. & Syed, S. Interdisciplinary Optimism? Sentiment Analysis of Twitter Data. (Submitted manuscript).
Paper III: Weber, C.T., Borit, M. & Aschan, M. An Interdisciplinary Insight into the Human Dimension in Fisheries Models. A Systematic Literature Review in a European Union Context. (Submitted manuscript).
PublisherUiT The Arctic University of Norway
UiT Norges arktiske universitet
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