Development of Technology Convergence Assessment Framework for Poly crisis
| dc.Affiliation | October University for modern sciences and Arts MSA | |
| dc.contributor.author | Rania Elsayed Ibrahim | |
| dc.contributor.author | Tshiamo Motshegwa | |
| dc.contributor.author | Abdelaziz Elfadaly | |
| dc.contributor.author | Alaa A. Elbiomy | |
| dc.contributor.author | Mai Ramadan Ibraheem | |
| dc.date.accessioned | 2026-03-10T17:50:43Z | |
| dc.date.issued | 2026-02-04 | |
| dc.description | SJR 2024 0.355 Q2 H-Index 31 Subject Area and Category: Computer Science Computer Science Applications Computer Science (miscellaneous) | |
| dc.description.abstract | Background: 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.uri | https://www.scimagojr.com/journalsearch.php?q=4700152809&tip=sid&clean=0 | |
| dc.identifier.citation | Ibrahim, 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.doi | https://doi.org/10.5334/dsj-2026-007 | |
| dc.identifier.other | https://doi.org/10.5334/dsj-2026-007 | |
| dc.identifier.uri | https://repository.msa.edu.eg/handle/123456789/6662 | |
| dc.language.iso | en_US | |
| dc.publisher | Ubiquity Press | |
| dc.relation.ispartofseries | Data Science Journal ; Volume 25 , (2026) , Issue 1 | |
| dc.subject | Open Science | |
| dc.subject | Technology Convergence | |
| dc.subject | Virtual and Augmented Reality | |
| dc.subject | Artificial Intelligence (AI) | |
| dc.subject | Remote Sensing | |
| dc.subject | Geoinformatics | |
| dc.subject | Resilience Approach | |
| dc.subject | Climate Action | |
| dc.subject | Agentic AI | |
| dc.subject | Poly crisis | |
| dc.subject | Risk Assessment and Management | |
| dc.subject | Assessment Framework | |
| dc.subject | Data Science | |
| dc.title | Development of Technology Convergence Assessment Framework for Poly crisis | |
| dc.type | Article |
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