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Literature from traditional scientific databases is supplemented with complementary desk research to gather materials and publications that do not feature in established journals or databases. Systematic reviews, and meta-analyses will be conducted in line with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) standards, which are essential for unbiased and thorough evaluations of existing literature. Given the vast amount of literature available, we will employ ASReview, an open source AI-assisted reviewing software (TRL 9), to efficiently screen and analyze large volumes of text. While the software streamlines the review process using AI, it's essential to note that human expertise remains at the core of our approach. Final decisions and critical evaluations are always conducted by our team of experts.\nObjectives of AI-Assisted Reviewing in [PROJECT NAME] The primary aim of this work package (WP) is to establish a foundational knowledge base for subsequent WPs. The AI-Assisted reviewing, which is open, and transparent, allows systematic reviews to be conducted in a resource efficient way, enabling the creation of a comprehensive database of scientific evidence, existing frameworks, and current practices related to [SPECIFIC TOPIC]. The state-of-the-art evidence overview ensures that [PROJECT NAME] addresses current stakeholder needs. [EXPAND ON RELATION WITH OTHER WP’S]\nTask [X.X]: Updated Review and Integration of Project Findings As the [PROJECT] nears its conclusion, we'll revisit the systematic reviews conducted earlier to ensure they reflect the latest advancements and research in [SPECIFIC TOPIC]. This updated review will incorporate not only external developments but also the significant findings and contributions from our project. The new literature is easily screened and processed by using the previous reviews as prior knowledge in the AI-aided screening process. This final synthesis will serve as a testament to the project's evolution, its contributions, and its positioning within the broader research landscape.\nWork Package Deliverables:\nDeliverable [D.X.1]: Proposed Search Strategy and Methodology for Systematic Reviews (Pre-registration)\nDescription: A comprehensive document outlining the proposed search strategy and methodology for the systematic reviews, emphasizing the importance of pre-registration to ensure transparency and commitment to the proposed approach.\nType: Report (R)\nDissemination Level: Public (PU)\nDelivery Date: [e.g. M6]\nDeliverable [D.X.2]: Initial Systematic Review Reports\nDescription: Comprehensive reports detailing the findings from the initial systematic reviews on [TOPICS].\nType: Report (R)\nDissemination Level: Public (PU)\nDelivery Date: [e.g. M12]\nDeliverable [D.X.3]: Transparent Database (Version 1.0)\nDescription: The first version of the database, containing all the data gathered and analyzed from the initial systematic reviews.\nType: Database (DB)\nDissemination Level: Public (PU) / Restricted (RE), depending on data sensitivity\nDelivery Date: [e.g. M14]\nDeliverable [D.X.4]: Updated Systematic Review Reports (End of Project)\nDescription: Comprehensive reports detailing the findings from the updated systematic reviews, incorporating both external developments and the project's contributions.\nType: Report (R)\nDissemination Level: Public (PU)\nDelivery Date: [e.g. M54]\nDeliverable [D.X.5]: Transparent Database (Version 2.0)\nDescription: The updated version of the database, reflecting the most recent advancements in [SPECIFIC TOPIC] and the significant findings from the project.\nType: Database (DB)\nDissemination Level: Public (PU) / Restricted (RE), depending on data sensitivity\nDeliv","cbCaifkThfpUn1xb","https://ap.wps.com/l/cbCaifkThfpUn1xb","docx",20342,"English","# Objectives of AI-Assisted Reviewing in [PROJECT NAME]\n## Scope and evidence synthesis approach\n## Task [X.X]: Updated review and integration\n# Work Package Deliverables","[{\"question\":\"What is the purpose of the work package in [PROJECT NAME]?\",\"answer\":\"The work package aims to build a foundational knowledge base for subsequent work packages by enabling open and transparent AI-assisted systematic reviews.\"},{\"question\":\"How will the project conduct literature screening and ensure review quality?\",\"answer\":\"Literature reviews follow PRISMA standards, and ASReview is used to efficiently screen large text volumes. 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