Development of Technology Convergence Assessment Framework for Poly crisis

dc.AffiliationOctober University for modern sciences and Arts MSA
dc.contributor.authorRania Elsayed Ibrahim
dc.contributor.authorTshiamo Motshegwa
dc.contributor.authorAbdelaziz Elfadaly
dc.contributor.authorAlaa A. Elbiomy
dc.contributor.authorMai Ramadan Ibraheem
dc.date.accessioned2026-03-10T17:50:43Z
dc.date.issued2026-02-04
dc.descriptionSJR 2024 0.355 Q2 H-Index 31 Subject Area and Category: Computer Science Computer Science Applications Computer Science (miscellaneous)
dc.description.abstractBackground: In poly crisis, where multiple, interconnected crises such as climate change, pandemics, and socio-economic inequalities converge, the integration of open science (OS), artificial intelligence (AI), geoinformatics, virtual reality (VR), and augmented reality (AR) offers a transformative approach to addressing these complex challenges. This article explores how these technologies can synergize to create resilient, adaptive, and inclusive solutions. Methodology: This paper uses a multifaceted technique, including structured review and technology convergence assessment analysis, to raise awareness of the abovementioned technologies to create resilient and adaptive solutions. Semantic network analysis is used to identify the current gaps and challenges in poly crisis. Findings: This work revealed that integrating these technologies can lead to more and better-informed decision-making, enhanced public engagement, and improved crisis response. The work also highlighted significant challenges, including disparities and inequities in access to data and technology and the lack of integration of science with policy and societal values in places. This integrated approach is essential for building resilient systems that address the current and future poly crisis. Policymakers, researchers, and technologists must work together to address these challenges and maximize the benefits of this integrated approach. Value/Originality: The key contribution of this work is the development of an assessment framework for managing poly crisis. Additionally, the work identifies gaps and proposes future research directions to guide the development and implementation of poly crisis solutions.
dc.description.urihttps://www.scimagojr.com/journalsearch.php?q=4700152809&tip=sid&clean=0
dc.identifier.citationIbrahim, R. E., Motshegwa, T., Elfadaly, A., Elbiomy, A. A., & Ibraheem, M. R. (2026). Development of Technology Convergence Assessment Framework for Poly crisis. Data Science Journal, 25. https://doi.org/10.5334/dsj-2026-007 ‌
dc.identifier.doihttps://doi.org/10.5334/dsj-2026-007
dc.identifier.otherhttps://doi.org/10.5334/dsj-2026-007
dc.identifier.urihttps://repository.msa.edu.eg/handle/123456789/6662
dc.language.isoen_US
dc.publisherUbiquity Press
dc.relation.ispartofseriesData Science Journal ; Volume 25 , (2026) , Issue 1
dc.subjectOpen Science
dc.subjectTechnology Convergence
dc.subjectVirtual and Augmented Reality
dc.subjectArtificial Intelligence (AI)
dc.subjectRemote Sensing
dc.subjectGeoinformatics
dc.subjectResilience Approach
dc.subjectClimate Action
dc.subjectAgentic AI
dc.subjectPoly crisis
dc.subjectRisk Assessment and Management
dc.subjectAssessment Framework
dc.subjectData Science
dc.titleDevelopment of Technology Convergence Assessment Framework for Poly crisis
dc.typeArticle

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