Saving time and sanity: Using active learning for systematic reviews and meta-analyses
Author(s) / Creator(s)
van de Schoot, Rens
Abstract / Description
ASReview uses state-of-the-art active learning techniques to solve one of the most exciting challenges in screening large amounts of text: there’s not enough time to read everything! Learn more about the free and open-source software for systematic reviewing: ASReview. During the presentation, Rens will explain how the step of manual screening abstracts for systematic reviews or meta-analyses can be accelerated by interacting with machine learning (this is called active learning), thereby saving up to 95% (!) of screening time. The community-driven project has grown into a vivid community of researchers, users, and developers worldwide, contributing to its open-source mission, and Rens will explain how you can join the movement towards fast, open, and transparent systematic reviews.
Persistent Identifier
Date of first publication
2023-07-17
Is part of
Big Data & Research Syntheses 2023, Frankfurt, Germany
Publisher
ZPID (Leibniz Institute for Psychology)
Citation
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VandeSchoot_ASReview.pdfAdobe PDF - 19.27MBMD5: d8f20e74c614ebfaa24bb099821d88af
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There are no other versions of this object.
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Author(s) / Creator(s)van de Schoot, Rens
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PsychArchives acquisition timestamp2023-07-17T13:43:34Z
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Made available on2023-07-17T13:43:34Z
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Date of first publication2023-07-17
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Abstract / DescriptionASReview uses state-of-the-art active learning techniques to solve one of the most exciting challenges in screening large amounts of text: there’s not enough time to read everything! Learn more about the free and open-source software for systematic reviewing: ASReview. During the presentation, Rens will explain how the step of manual screening abstracts for systematic reviews or meta-analyses can be accelerated by interacting with machine learning (this is called active learning), thereby saving up to 95% (!) of screening time. The community-driven project has grown into a vivid community of researchers, users, and developers worldwide, contributing to its open-source mission, and Rens will explain how you can join the movement towards fast, open, and transparent systematic reviews.en
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Publication statusunknown
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Review statusunknown
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External description on another websitehttp://www.ressyn-bigdata.org
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/8497
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.12998
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Language of contenteng
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PublisherZPID (Leibniz Institute for Psychology)
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Is part ofBig Data & Research Syntheses 2023, Frankfurt, Germanyen
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Is related tohttp://www.ressyn-bigdata.org
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Is related tohttps://hdl.handle.net/20.500.12034/8544
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Dewey Decimal Classification number(s)150
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TitleSaving time and sanity: Using active learning for systematic reviews and meta-analysesen
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DRO typeconferenceObject
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Visible tag(s)ZPID Conferences and Workshops