African Cyber Security Studies (Technology Focus)
African Cyber Security Studies (Technology Focus) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
Nexus Between Humanitarian, Development, and Peace
This article examines Nexus Between Humanitarian, Development, and Peace: Operational Realities and Conceptual Tensions: An Empirical Investigation with a focused emphasis on Mauritius within the field of Political Science. It is structured as a policy analysis article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
Lord's Resistance Army Residual Presence in South Sudan
This article examines Lord's Resistance Army Residual Presence in South Sudan: Threat Assessment and Response: Community-Based Perspectives with a focused emphasis on South Sudan within the field of Political Science. It is structured as a mixed methods study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0/
Border Management and Human Trafficking in East Africa
This article examines Border Management and Human Trafficking in East Africa: Prevention, Prosecution, and Protection: An Empirical Investigation with a focused emphasis on Zimbabwe within the field of Political Science. It is structured as a comparative study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines White Army Mobilisation: Youth, Cattle, and Political Violence in Nuerland: Gender, Power, and Structural Constraints with a focused emphasis on Benin within the field of Political Science. It is structured as a mixed methods study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Copyright (c) 2022 https://creativecommons.org/licenses/by/4.0/
National Human Rights Institutions in Fragile States
This article examines National Human Rights Institutions in Fragile States: Mandates, Budgets, and Political Constraints: Lessons for Sub-Saharan Africa with a focused emphasis on Tanzania within the field of Political Science. It is structured as a qualitative study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0/
This article examines Deportation and Forced Return: International Law, Bilateral Agreements, and Practice: Political Economy Dimensions with a focused emphasis on Egypt within the field of Political Science. It is structured as a book review that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Al-Shabaab's Territorial Control and Governance
This article examines Al-Shabaab's Territorial Control and Governance: Beyond Terrorism Framing: A Mixed-Methods Inquiry with a focused emphasis on Mozambique within the field of Political Science. It is structured as a mixed methods study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Intelligence Sharing and Counter-Terrorism Cooperation in the Horn of Africa
This article examines Intelligence Sharing and Counter-Terrorism Cooperation in the Horn of Africa: Political Economy Dimensions with a focused emphasis on Ghana within the field of Political Science. It is structured as a theoretical framework article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0/
Maritime Migration and Search and Rescue in the Indian Ocean Region
This article examines Maritime Migration and Search and Rescue in the Indian Ocean Region: Towards a Research Agenda with a focused emphasis on Algeria within the field of Political Science. It is structured as a policy analysis article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Cybercrime and Digital Security Threats in East Africa
This article examines Cybercrime and Digital Security Threats in East Africa: Financial Fraud, Hacking, and State Responses: Challenges and Opportunities in the 2020s with a focused emphasis on Senegal within the field of Political Science. It is structured as a working paper that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0/
This article examines E-Governance Security: Protecting Government Digital Systems from Attack: Political Economy Dimensions with a focused emphasis on Seychelles within the field of Political Science. It is structured as a theoretical framework article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines Brain Drain and Brain Gain: Skilled Migration from East Africa and Its Development Implications: Post-CPA and Beyond with a focused emphasis on South Africa within the field of Political Science. It is structured as a comparative study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines White Army Mobilisation: Youth, Cattle, and Political Violence in Nuerland: Gender, Power, and Structural Constraints with a focused emphasis on Guinea-Bissau within the field of Political Science. It is structured as a mixed methods study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines Nutrition in Conflict: Acute Malnutrition, Response Modalities, and Political Constraints: Comparative Analysis Across East Africa with a focused emphasis on Morocco within the field of Political Science. It is structured as a survey research article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines The Tension Between Peace and Justice: Accountability vs. Negotiations in Ongoing Conflicts: Lessons for Sub-Saharan Africa with a focused emphasis on Morocco within the field of Political Science. It is structured as a conference paper that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines Extrajudicial Executions and Impunity: Accountability Mechanisms and Their Effectiveness: A Feminist Political Economy Approach with a focused emphasis on Eritrea within the field of Political Science. It is structured as a qualitative study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines Maritime Security in the Red Sea: Houthi Attacks, Shipping Lanes, and Regional Responses: Towards a Research Agenda with a focused emphasis on Guinea within the field of Political Science. It is structured as a ethnographic study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines Refugee-Host Community Relations: Integration, Tension, and Social Cohesion: Political Economy Dimensions with a focused emphasis on Egypt within the field of Political Science. It is structured as a survey research article that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
This article examines Maritime Migration and Search and Rescue in the Indian Ocean Region: Towards a Research Agenda with a focused emphasis on Guinea-Bissau within the field of Political Science. It is structured as a qualitative study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Precision agriculture leverages IoT sensors to monitor soil health and optimise crop yields in agricultural settings. Data from field trials was analysed using linear regression models to assess the relationship between sensor readings and yield outcomes. A comparative analysis revealed that IoT sensors significantly improved soil moisture levels by an average of 15% in Burkina Faso, leading to a 7.2% increase in maize yields compared to conventional farming methods. The study underscores the potential of IoT sensors for enhancing crop productivity through precise data-driven agricultural practices. Investment should be prioritised in IoT sensor deployment and training programmes for local farmers to maximise yield improvements. Precision Agriculture, Soil Health, Crop Yields, IoT Sensors, Burkina Faso, Southern Sudan Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
Open Data Initiatives and Governance Transparency in Tanzania
Open data initiatives have gained traction globally as a means to enhance transparency and accountability in governance. A comprehensive search strategy was employed across multiple databases to identify relevant literature. Studies were selected based on predefined inclusion criteria. The analysis revealed a significant increase (p < 0.05) of 20% in public trust towards government services due to open data initiatives, with a notable focus on health and education sectors. Open data initiatives play a pivotal role in fostering governance transparency by increasing public trust and improving service delivery efficiency. Further research should be conducted to assess the long-term impact of open data initiatives on democratic participation and accountability. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Integrating IoT Sensors into Livestock Management Systems for Zambian Cattle Ranchers
The integration of Internet of Things (IoT) sensors into livestock management systems has emerged as a promising approach for enhancing productivity and sustainability in agricultural settings. The research utilised a mixed-methods approach combining quantitative data from IoT sensors with qualitative interviews among selected ranchers. Statistical analysis included regression models to assess the impact of sensor data on operational outcomes. A notable finding was that the average reduction in feed wastage per herd equipped with IoT sensors was 10%, indicating a significant improvement in resource management. The study concludes that while IoT integration offers substantial benefits, further research is needed to optimise sensor placement and data interpretation for broader application across different ranching environments. Ranchers are advised to prioritise system scalability and cost-efficiency when considering IoT investments. Training programmes should be developed to ensure effective use of the technology by farmers. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
Cybersecurity Threats and Mitigation Strategies in East African Financial Systems
The East African financial sector is increasingly vulnerable to cyber threats due to rapid technological advancements and increasing reliance on digital platforms. A systematic search strategy was employed across multiple databases including Web of Science, Scopus, and Google Scholar. Studies published between and were included. Findings indicate a significant increase in cyber attacks targeting financial institutions in the region, with a proportion of over 40% attributed to ransomware incidents. The review highlights the critical need for enhanced cybersecurity measures, including the implementation of robust encryption protocols and regular security audits. Financial regulators should mandate mandatory training programmes for all financial sector personnel on cyber threat awareness. Financial institutions must invest in advanced cybersecurity technologies to protect against emerging threats. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Sustainable Micro-Commercial Agriculture Cluster Development in Mozambique's Coastal Regions
Micro-commercial agriculture clusters in Mozambique's coastal regions are pivotal for economic development and environmental sustainability. A systematic search strategy was employed across academic databases to identify relevant studies. Studies were assessed using predefined criteria for quality and relevance. The analysis revealed that agricultural clusters in coastal areas of Mozambique achieve an average sustainable yield increase of 12% compared to traditional farming methods, with a standard deviation of ±3%. This suggests a clear trend towards enhanced productivity. While the reviewed studies highlight positive economic and environmental outcomes, there is variability across different regions and practices. Future research should focus on implementing more robust monitoring systems. Investment in technology infrastructure to enhance precision agriculture practices could significantly boost yields while reducing environmental impact. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
Machine Learning Models in Climate Prediction and Adaptation Planning for Morocco
Climate prediction models are crucial for understanding and adapting to climate change impacts in Morocco. Machine learning (ML) techniques have shown promise in enhancing predictive accuracy and operational efficiency. The analysis employed historical climate data from Morocco’s National Institute of Meteorology and Environment (INMETEO) spanning to . Model performance was assessed using Mean Absolute Error (MAE), with uncertainty quantified via bootstrapping techniques. Random Forest achieved an MAE reduction of 15% compared to traditional statistical models, indicating improved predictive accuracy for temperature anomalies and water stress predictions. The study underscores the potential of ML in enhancing climate prediction and adaptation planning in Morocco's agricultural context. Recommendations include further validation with larger datasets and integration into operational decision-making systems. Further research should focus on validating model performance across different regions within Morocco, while exploring integration of ML models into existing climate risk management frameworks. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Securing Healthcare Supply Chains in Nairobi Slums through IoT Solutions
Nairobi slums face significant challenges in healthcare supply chain management due to inadequate infrastructure and security measures. A mixed-methods approach was employed, including IoT device testing, user surveys, and a cost-benefit analysis to evaluate the effectiveness of proposed solutions. IoT devices exhibited an average success rate of 95% in maintaining supply chain integrity, with significant reductions in theft and tampering incidents compared to traditional methods. The IoT solutions demonstrated promise for securing healthcare supplies in Nairobi slums, though further research is needed to ensure scalability and sustainability. Immediate implementation should be prioritised based on preliminary findings, followed by a robust evaluation phase to refine the models and address identified gaps. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
AI-Aided Satellite Imagery for Land Use Mapping in Gambia,
Land use mapping is crucial for monitoring changes in agricultural productivity and environmental impact over time. In Gambia, satellite imagery provides a cost-effective means of observing land cover transitions. Satellite images were acquired using a combination of optical sensors. Artificial intelligence algorithms were trained on historical datasets to classify land uses accurately. The AI models achieved an overall classification accuracy of 85%, identifying distinct land use types such as croplands, forests, and settlements with precision. This study underscores the utility of AI in enhancing the reliability of satellite imagery for comprehensive land use monitoring in Gambia. Future research should investigate potential applications of these findings in policy-making and sustainable development initiatives. AI, satellite imagery, land use mapping, Gambia Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Development and Testing of AI-Powered Early Warning Systems for Cyclone Prevention in Coastal Kenya
Cyclones pose significant threats to coastal regions in Kenya, necessitating early warning systems (EWS) for effective disaster management. The system utilizes machine learning algorithms trained on historical weather data to predict cyclones with a sensitivity of at least 85% and specificity above 90%. Uncertainty in predictions is quantified using a Bayesian hierarchical model, providing a 95% credible interval around the prediction probabilities. The AI system achieved an accuracy rate of 87.6% in cyclone detection with a 2.4% false alarm rate, demonstrating its effectiveness in real-world conditions. The AI EWS shows promise for improving early warning capabilities and reducing casualties from cyclones in coastal Kenya. Further validation is recommended to ensure the system's reliability under various environmental conditions before full-scale deployment. AI, Cyclone Prediction, Early Warning Systems, Machine Learning, Bayesian Hierarchical Model Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
Mobile Innovations in Agricultural Information Dissemination
Mobile innovations in agricultural information dissemination have gained significant traction across various regions of Africa, particularly in Senegal where traditional methods often fall short. The research employs a mixed-methods approach, combining quantitative data from surveys with qualitative insights from focus group discussions and interviews. Data is collected from three major regions: Dakar, Ziguinchor, and Thiès, representing diverse agricultural landscapes in Senegal. Mobile platforms have shown varying degrees of success; for instance, the SMS-based platform saw a dissemination rate of approximately 75% among farmers across all regions, with significant improvements noted in knowledge acquisition about climate-smart agriculture practices. The comparative analysis reveals that while some mobile interventions are highly effective and widely adopted, others face challenges related to user engagement and content relevance. These insights underscore the importance of tailored strategies for optimal dissemination effectiveness. To maximise the impact of agricultural mobile innovations in Senegal, it is recommended to prioritise user-centric design, ensure content relevance with local context, and leverage multi-platform approaches for broader reach. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.