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Dataset associated with "Visions of the Arctic Future: Blending Computational Text Analysis And Structured Futuring to Create Story-based Scenarios"

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dc.contributor.authorKeys, Patrick
dc.contributor.authorMeyer, Alexis
dc.coverage.spatialArcticen_US
dc.coverage.spatialpolaren_US
dc.coverage.temporal2010-2020en_US
dc.date.accessioned2021-11-02T15:54:34Z
dc.date.available2021-11-02T15:54:34Z
dc.date.issued2021
dc.descriptionMetadata for the articles appearing in the literature corpus, corresponding to the table in the manuscript entitled: 'Table S1: Visions of the Arctic Future - Metadata for Arctic news corpus'.en_US
dc.descriptionSchool of Global Environmental Sustainability
dc.description.abstractThe future of Arctic social systems and natural environments is highly uncertain. Climate change will lead to unprecedented phenomena in the pan-Arctic region, such as regular shipping traffic through the Arctic Ocean, urban growth, military activity, expanding agricultural frontiers, and transformed indigenous societies.While intergovernmental to local organizations have produced numerous synthesis-based visions of the future, a challenge in any scenario exercise is capturing the possibility space of change. In this work, we employ a computational text analysis to objectively generate unique thematic input for novel, story-based visions of the Arctic. Specifically, we develop a corpus of more than 2,000 articles in publicly accessible, English-language Arctic newspapers that discuss the future in the Arctic. We then perform a latent Dirichlet allocation, resulting in ten distinct topics and sets of associated keywords. From these topics and keywords, we design ten story-based scenarios employing the Mānoa mashup, science fiction prototyping, and other methods. Our results demonstrate that computational text analysis can feed directly into a creative futuring process, whereby the output stories can be traced clearly back to the objectively identified topics and keywords. We discuss our findings in the context of the broader field of Arctic scenarios, and show that the results of this computational text analysis produce complementary stories to the existing scenario literature. We conclude that story-based scenarios can provide vital texture toward understanding the myriad possible Arctic futures.en_US
dc.format.mediumCSV
dc.format.mediumPDF
dc.identifier.urihttps://hdl.handle.net/10217/234030
dc.identifier.urihttp://dx.doi.org/10.25675/10217/234030
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyKeys, P. W., & Meyer, A. E. (2022). Visions of the Arctic Future: Blending Computational Text Analysis and Structured Futuring to Create Story-based Scenarios. Earth's Future, 10, e2021EF002206. https://doi.org/10.1029/2021EF002206
dc.rights.licenseThis material is open access and distributed under the terms and conditions of the Creative Commons CC BY-SA: Attribution-ShareAlike 4.0 International license (https://creativecommons.org/licenses/by-sa/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjecttext analysisen_US
dc.subjectclimate changeen_US
dc.subjectliterature corpusen_US
dc.subjectArctic scenariosen_US
dc.subjectlatent Dirichlet allocationen_US
dc.subjectstorytellingen_US
dc.subjectpolaren_US
dc.titleDataset associated with "Visions of the Arctic Future: Blending Computational Text Analysis And Structured Futuring to Create Story-based Scenarios"en_US
dc.typeDataseten_US

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