Sustainable North-South Africa Collaboration for Disaster and Crisis Management: A Strategic Capacity Development Framework using Open Science, Artificial Intelligence and Geoinformatics

Background: This paper explores strategies to enhance North-South collaboration to foster multi- and trans-disciplinary research in disaster risk reduction (DRR) and crisis management, emphasizing the role of open science, Artificial Intelligence (AI) and geoinformatics in developing a resilient and proactive approach to these challenges, as well as drawing on lessons learned from the COVID-19 pandemic, the paper highlights how collaboration and data sharing can enhance preparedness, response, and recovery in future crises. Methods: The study uses a mixed approach to gather and analyze information. Qualitative methods focus on gathering descriptive data through engaging with experts and a structured review. By investigating literature, a comprehensive strategic framework for minimizing disaster risk, and for crisis management, is developed to provide adequate guidance to policymakers on implementation strategies and the application of how to build the human, institutional, and technological capacity required for effective disaster and crisis management (DCM). The events were used to engage with experts to provide recommendations and opportunities to enhance crisis response, capacity development and policy. Findings:>By presenting a comprehensive framework that bridges theoretical knowledge with practical application, our findings indicate that governments must address the challenges of DCM to minimize losses. The practices surrounding disaster recovery can provide opportunities for policymakers to reassess priorities and redirect resources toward building sustainable communities. Originality: There is no strategic framework that provides adequate guidance to policymakers on implementation strategies or the application of how to build the human, institutional and technological capacity required for effective DCM. This article develops a Decision Support Framework for DCM. We outline how open science promotes cross-disciplinary collaboration and the sharing of knowledge, while geoinformatics, AI enable real-time data analysis that supports proactive disaster preparedness, response, and recovery. This paper encompasses a strategic, comprehensive, capacity-building framework for achieving sustainable strengthening of North-South collaboration. Furthermore, it presents how to design the most efficient data policies in times of crisis and how we can use these tools to improve North-South cooperation in Africa’s DCM. Finally, it highlights challenges of implementation and presents solutions and opportunities for Africa.

Authors

Institutions

Publication Details

Journal
Data Science Journal
Published
2025-01-01
DOI
https://doi.org/10.5334/dsj-2025-011
Citations
1
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
6.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable North-South Africa Collaboration for Disaster and Crisis Management: A Strategic Capacity Development Framework using Open Science, Artificial Intelligence and Geoinformatics

Simon Hodson, Tshiamo Motshegwa, Nokuthula Peace Mchunu, Hamed A. Ead et al.
1 citations
Data Science Journal
Geographic Information Systems Studies
6.72
article

Sustainable North-South Africa Collaboration for Disaster and Crisis Management: A Strategic Capacity Development Framework using Open Science, Artificial Intelligence and Geoinformatics

Simon Hodson, Tshiamo Motshegwa, Nokuthula Peace Mchunu, Hamed A. Ead, V. A. McBride, Sepo Hachigonta, Teketel Yohannes Anshebo, Francis P. Crawley, Djillali Benouar, Rania Ibrahim, Lili Zhang, Mohamed Khodja
article en
1 citations

Abstract

Background: This paper explores strategies to enhance North-South collaboration to foster multi- and trans-disciplinary research in disaster risk reduction (DRR) and crisis management, emphasizing the role of open science, Artificial Intelligence (AI) and geoinformatics in developing a resilient and proactive approach to these challenges, as well as drawing on lessons learned from the COVID-19 pandemic, the paper highlights how collaboration and data sharing can enhance preparedness, response, and recovery in future crises. Methods: The study uses a mixed approach to gather and analyze information. Qualitative methods focus on gathering descriptive data through engaging with experts and a structured review. By investigating literature, a comprehensive strategic framework for minimizing disaster risk, and for crisis management, is developed to provide adequate guidance to policymakers on implementation strategies and the application of how to build the human, institutional, and technological capacity required for effective disaster and crisis management (DCM). The events were used to engage with experts to provide recommendations and opportunities to enhance crisis response, capacity development and policy. Findings:>By presenting a comprehensive framework that bridges theoretical knowledge with practical application, our findings indicate that governments must address the challenges of DCM to minimize losses. The practices surrounding disaster recovery can provide opportunities for policymakers to reassess priorities and redirect resources toward building sustainable communities. Originality: There is no strategic framework that provides adequate guidance to policymakers on implementation strategies or the application of how to build the human, institutional and technological capacity required for effective DCM. This article develops a Decision Support Framework for DCM. We outline how open science promotes cross-disciplinary collaboration and the sharing of knowledge, while geoinformatics, AI enable real-time data analysis that supports proactive disaster preparedness, response, and recovery. This paper encompasses a strategic, comprehensive, capacity-building framework for achieving sustainable strengthening of North-South collaboration. Furthermore, it presents how to design the most efficient data policies in times of crisis and how we can use these tools to improve North-South cooperation in Africa’s DCM. Finally, it highlights challenges of implementation and presents solutions and opportunities for Africa.

Data Science JournalVol. 24
National Authority for Remote Sensing and Space Sciences (EG)
Pan American Health Organization
Climate action
Openalex Percentile: Top 6%
Geographic Information Systems Studies
6.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.