Journal of E-Governance and Digital Transformation in Africa (Technology
type: channel
description: Journal of E-Governance and Digital Transformation in Africa (Technology is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: Journal of E-Governance and Digital Transformation in Africa (Technology
items: Code, Capacity, and Control: AI, Algorithmic Governance, and Political Accountability in African States
items: Ethics Education and Professional Integrity in African Public Service Training
items: Strategic Leadership in African Public Organisations
items: Judicial Corruption and Access to Justice in East Africa
items: Bureaucratic Discretion and Corruption Risks in African Public Administration
items: The Governance of African Regional Organisations
items: Technology and Procurement Reform
items: Consumer Protection Regulation and Governance in East African Markets
items: Government Cloud Computing and Data Sovereignty in East Africa
items: Parliamentary Budget Offices and Fiscal Oversight in African Legislatures
items: Mergers and Acquisitions Governance in African Markets
items: Designing Accessible User Interfaces for Low-Literacy Populations in Kenyan Contexts
items: Microfinance and Savings Interventions in Reducing Fuel Poverty
items: Natural Language Processing for African Languages in Zambia
items: AI-Aided Diagnostics in Malawi's Resource-Constrained Healthcare Settings
items: Cost-Effectiveness Evaluation of Off-Grid Community Energy Systems in Tanzania Using Quasi-Experimental Design
items: Methodological Evaluation of Off-Grid Communities Systems in Ghana Using Multilevel Regression Analysisfor Risk Reduction
items: Smart Village Irrigation Systems in Ethiopian Rural Areas
items: AI-Powered Satellite Mapping for Land Use Dynamics in Burundi,
items: Interactive Learning Apps and Math Achievement in Nigerian Primary Schools
items: Methodological Evaluation of Ethiopian Secondary School Systems Using Panel Data for System Reliability Measurement
items: Adoption Rate of Crop Monitoring Apps Among Northern Cameroon Farmers
items: Big Data Analytics Framework for Urban Planning and Service Delivery in Cairo, Egypt 2008
items: Blockchain-Based Community Forest Management in Zambian Biodiversity Zones
items: Digital Literacy Training Programmes for Senegalese Women Entrepreneurs in Egypt
items: Community Health Worker App Efficiency in Tuberculosis Control
items: Developing Robust EdTech Solutions for Remote Learning in Rwanda's Rural Settings
items: Cybersecurity Challenges and Countermeasures in East African Financial Systems
items: Mobile Health Monitoring in Rural Ethiopian Communities
items: AI in Disease Diagnosis within Resource-Limited Settings in Malawi

Code, Capacity, and Control: AI, Algorithmic Governance, and Political Accountability in African States
type: item
description: Code, Capacity, and Control: AI, Algorithmic Governance, and Political Accountability in African States examines the dual use of digital systems as instruments of developmental administration and as infrastructures for surveillance, exclusion, and political control. Centering South Sudan without treating it as exceptional, the study situates the case within broader debates in digital governance, AI ethics, ICT4D, and authoritarian technology diffusion. It develops the concept of algorithmic developmental authoritarianism to explain how formal norms, institutional design, and struggles over authority become fused in the deployment of digital systems. Drawing on comparative analysis of AI adoption in Rwanda, Kenya, Ghana, and South Africa; legal analysis of data protection and AI governance frameworks; technical audit approaches to algorithmic accountability; and interviews with government e-governance officials, civil society digital rights advocates, and AI practitioners, the study advances three linked propositions. First, algorithmic governance combines administrative promise with significant political risk. Second, imported digital infrastructures carry embedded accountability models that shape domestic governance outcomes. Third, effective public oversight of AI deployment remains uneven and politically contested. The analysis addresses the central question of how African governments deploy AI and machine learning across sectors such as taxation, land administration, policing, and border management, and under what governance conditions, accountability mechanisms, and evidence of effectiveness. It shows that institutions, narratives, and policy frameworks function as political instruments rather than neutral technical arrangements. The study concludes that reform eff
subject: Articles
  topic: section
subject: Arti ficial intelligence
  topic: keywords
subject: digital governance
  topic: keywords
subject: accountability
  topic: keywords
subject: Africa
  topic: keywords
subject: surveillance
  topic: keywords
subject: algorithmic
  topic: keywords
subject: Rwanda
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subject: Kenya
  topic: keywords
creator: Associate Professor of Politics
creator: Political Accountability in African States
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2026 Journal of E-Governance and Digital Transformation in Africa (Technology
date: 2026-04-21
publication date: 2026-04-21
doi: 10.5281/zenodo.19680223

Ethics Education and Professional Integrity in African Public Service Training
type: item
description: This article examines Ethics Education and Professional Integrity in African Public Service Training: Accountability, Transparency, and Reform with a focused emphasis on Mozambique 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.
subject: Articles
  topic: section
subject: African Public Service
  topic: keywords
subject: Public Service Training
  topic: keywords
subject: Service Training Accountability
  topic: keywords
subject: Training Accountability Transparency
  topic: keywords
subject: Ethics Education
  topic: keywords
subject: Professional Integrity
  topic: keywords
creator: Abraham Kuol Nyuon (Ph.D)
rights: Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0/
date: 2021-06-02
publication date: 2021-06-02
doi: 10.5281/zenodo.19550019

Strategic Leadership in African Public Organisations
type: item
description: This article examines Strategic Leadership in African Public Organisations: Vision, Change, and Institutional Constraints: Decolonial Reflections with a focused emphasis on Nigeria 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.
subject: Articles
  topic: section
subject: African Public Organisations
  topic: keywords
subject: Public Organisations Vision
  topic: keywords
subject: Organisations Vision Change
  topic: keywords
subject: Institutional Constraints Decolonial
  topic: keywords
subject: Constraints Decolonial Reflections
  topic: keywords
subject: Strategic Leadership
  topic: keywords
creator: Abraham Kuol Nyuon (Ph.D)
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0/
date: 2024-03-02
publication date: 2024-03-02
doi: 10.5281/zenodo.19549952

Judicial Corruption and Access to Justice in East Africa
type: item
description: This article examines Judicial Corruption and Access to Justice in East Africa: Evidence from South Sudan with a focused emphasis on South Sudan within the field of Political Science. It is structured as a perspective piece 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.
subject: Articles
  topic: section
subject: East Africa Evidence
  topic: keywords
subject: Judicial Corruption
  topic: keywords
subject: East Africa
  topic: keywords
subject: Africa Evidence
  topic: keywords
subject: South Sudan
  topic: keywords
subject: Judicial
  topic: keywords
creator: Abraham Kuol Nyuon (Ph.D)
rights: Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0/
date: 2021-11-14
publication date: 2021-11-14
doi: 10.5281/zenodo.19549860

Bureaucratic Discretion and Corruption Risks in African Public Administration
type: item
description: This article examines Bureaucratic Discretion and Corruption Risks in African Public Administration: Power, Agency, and Structural Change with a focused emphasis on Lesotho within the field of Political Science. It is structured as a action research 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.
subject: Articles
  topic: section
subject: African Public Administration
  topic: keywords
subject: Public Administration Power
  topic: keywords
subject: Administration Power Agency
  topic: keywords
subject: Bureaucratic Discretion
  topic: keywords
subject: Corruption Risks
  topic: keywords
subject: African Public
  topic: keywords
creator: Abraham Kuol Nyuon (Ph.D)
rights: Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0/
date: 2021-08-24
publication date: 2021-08-24
doi: 10.5281/zenodo.19549155

The Governance of African Regional Organisations
type: item
description: This article examines The Governance of African Regional Organisations: AU, EAC, IGAD, and Comparative Assessment: Post-CPA and Beyond with a focused emphasis on Somalia 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.
subject: Articles
  topic: section
subject: African Regional Organisations
  topic: keywords
subject: Regional Organisations AU
  topic: keywords
subject: Organisations AU EAC
  topic: keywords
subject: AU EAC IGAD
  topic: keywords
subject: Comparative Assessment Post-CPA
  topic: keywords
subject: African Regional
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0/
date: 2024-07-07
publication date: 2024-07-07
doi: 10.5281/zenodo.19546181

Technology and Procurement Reform
type: item
description: This article examines Technology and Procurement Reform: E-Procurement Systems in African Public Administration: Institutional Capacity and Political Will with a focused emphasis on Malawi 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.
subject: Articles
  topic: section
subject: Procurement Reform E-Procurement
  topic: keywords
subject: Reform E-Procurement Systems
  topic: keywords
subject: African Public Administration
  topic: keywords
subject: Public Administration Institutional
  topic: keywords
subject: Administration Institutional Capacity
  topic: keywords
subject: Procurement Reform
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2022 https://creativecommons.org/licenses/by/4.0/
date: 2022-10-15
publication date: 2022-10-15
doi: 10.5281/zenodo.19546088

Consumer Protection Regulation and Governance in East African Markets
type: item
description: This article examines Consumer Protection Regulation and Governance in East African Markets with a focused emphasis on Sierra Leone 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.
subject: Articles
  topic: section
subject: Consumer Protection Regulation
  topic: keywords
subject: East African Markets
  topic: keywords
subject: Consumer Protection
  topic: keywords
subject: Protection Regulation
  topic: keywords
subject: East African
  topic: keywords
subject: African Markets
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2022 https://creativecommons.org/licenses/by/4.0/
date: 2022-07-13
publication date: 2022-07-13
doi: 10.5281/zenodo.19545537

Government Cloud Computing and Data Sovereignty in East Africa
type: item
description: This article examines Government Cloud Computing and Data Sovereignty in East Africa: From Theory to Practice with a focused emphasis on Kenya within the field of Political Science. It is structured as a commentary on published 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.
subject: Articles
  topic: section
subject: Government Cloud Computing
  topic: keywords
subject: Government Cloud
  topic: keywords
subject: Cloud Computing
  topic: keywords
subject: Data Sovereignty
  topic: keywords
subject: East Africa
  topic: keywords
subject: Government
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0/
date: 2021-02-05
publication date: 2021-02-05
doi: 10.5281/zenodo.19542098

Parliamentary Budget Offices and Fiscal Oversight in African Legislatures
type: item
description: This article examines Parliamentary Budget Offices and Fiscal Oversight in African Legislatures: The Role of Civil Society with a focused emphasis on Botswana 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.
subject: Articles
  topic: section
subject: Parliamentary Budget Offices
  topic: keywords
subject: Parliamentary Budget
  topic: keywords
subject: Budget Offices
  topic: keywords
subject: Fiscal Oversight
  topic: keywords
subject: African Legislatures
  topic: keywords
subject: Civil Society
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0/
date: 2024-04-18
publication date: 2024-04-18
doi: 10.5281/zenodo.19519855

Mergers and Acquisitions Governance in African Markets
type: item
description: This article examines Mergers and Acquisitions Governance in African Markets: Regulation, Disclosure, and Shareholder Rights: Rural and Urban Dimensions with a focused emphasis on Tanzania 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.
subject: Articles
  topic: section
subject: African Markets Regulation
  topic: keywords
subject: Markets Regulation Disclosure
  topic: keywords
subject: Shareholder Rights Rural
  topic: keywords
subject: Acquisitions Governance
  topic: keywords
subject: African Markets
  topic: keywords
subject: Markets Regulation
  topic: keywords
creator: Abraham Kuol Nyuon
rights: Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0/
date: 2025-05-06
publication date: 2025-05-06
doi: 10.5281/zenodo.19519321

Designing Accessible User Interfaces for Low-Literacy Populations in Kenyan Contexts
type: item
description: Low-literacy populations in Kenya face significant challenges accessing digital services effectively. A mixed-methods approach was employed, combining surveys with qualitative interviews to gather insights from users and experts. Users preferred graphical interfaces over text-based ones, indicating a preference for visual cues (direction: 60%, proportion: 2/3). Accessible user interfaces significantly improve digital service accessibility for low-literacy populations in Kenya. Design guidelines should prioritise the integration of visual elements and simplified language to enhance usability. User Interface, Accessibility, Low-Literacy, Digital Services, Kenya 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.
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: Low-literacy
  topic: keywords
subject: User-Centred Design
  topic: keywords
subject: Universal Design Principles
  topic: keywords
subject: Participatory Methods
  topic: keywords
creator: Mwangi Ndege
creator: Ombiri Kirwa
creator: Kinyanjui Koech
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-07-09
publication date: 2013-07-09
doi: 10.5281/zenodo.18993516

Microfinance and Savings Interventions in Reducing Fuel Poverty
type: item
description: Microfinance interventions have been explored for poverty alleviation in rural areas, with savings behaviour playing a critical role. A mixed-methods approach was employed, including surveys and interviews, to gather data on savings behaviour and its impact on household energy expenditure. Microfinance groups showed a significant increase (40%) in savings rates compared to non-group members over the study period, indicating enhanced financial inclusion. Savings interventions were effective in reducing fuel poverty, with microfinance groups demonstrating higher saving behaviors and lower energy costs. Further research should focus on scaling up successful models and exploring additional behavioural economic strategies. 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.
subject: Articles
  topic: section
subject: Microfinance
  topic: keywords
subject: Zanzibar
  topic: keywords
subject: Egypt
  topic: keywords
subject: Savings Behaviour
  topic: keywords
subject: Behavioural Economics
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Poverty Reduction
  topic: keywords
creator: Ahmed El-Masri
creator: Nabil Mousa
creator: Fareeha Shaheen
creator: Amro Al-Sayed
rights: Copyright (c) 2013 https://creativecommons.org/licenses/by/4.0/
date: 2013-11-09
publication date: 2013-11-09
doi: 10.5281/zenodo.18993501

Natural Language Processing for African Languages in Zambia
type: item
description: Natural Language Processing (NLP) is an essential component of digital transformation in Africa, particularly for enhancing communication and service delivery in local languages. A comprehensive search strategy was employed across multiple databases to identify relevant studies from to present. Studies were filtered based on specific criteria related to NLP development and implementation in Africa’s local languages. The analysis revealed a significant proportion (45%) of reviewed studies focusing on Zambian contexts, indicating growing interest and efforts in this field. Despite the increasing body of work, there remains considerable uncertainty about the efficacy and scalability of NLP solutions tailored for African languages in Zambia's diverse linguistic landscape. Further research is recommended to explore specific challenges such as data scarcity and cultural nuances while also considering policy frameworks that could facilitate more widespread adoption of NLP technologies. 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.
subject: Articles
  topic: section
subject: African Languages
  topic: keywords
subject: Digital Transformation
  topic: keywords
subject: Linguistic Computing
  topic: keywords
subject: Morphology
  topic: keywords
subject: Syntax Analysis
  topic: keywords
subject: Computational Linguistics
  topic: keywords
subject: Language Resources
  topic: keywords
creator: Kasukuwa Chisala
creator: Mwamba Simi
creator: Mulenga Mulenga
creator: Chilufya Kalaba
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-09-07
publication date: 2012-09-07
doi: 10.5281/zenodo.18956033

AI-Aided Diagnostics in Malawi's Resource-Constrained Healthcare Settings
type: item
description: AI-aided diagnostics have shown promise in resource-limited healthcare settings by enhancing accuracy and efficiency of disease diagnosis. A cross-sectional study was conducted using machine learning models trained on a dataset of clinical records from Malawian healthcare facilities. The study aimed to assess model accuracy through precision and recall metrics. The AI models achieved an overall accuracy rate of 85% in diagnosing common diseases, with higher precision for malaria cases (90%) compared to tuberculosis (75%). AI-aided diagnostics can significantly improve disease diagnosis outcomes in resource-constrained settings. Further research should focus on model validation across different geographic regions and the integration of AI into existing healthcare workflows. AI, Diagnostics, Malawi, Precision, Recall 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AI
  topic: keywords
subject: machine learning
  topic: keywords
subject: diagnosis
  topic: keywords
subject: resource-limited
  topic: keywords
subject: sub-saharan
  topic: keywords
subject: African
  topic: keywords
creator: Chanzu Malipo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-07-11
publication date: 2012-07-11
doi: 10.5281/zenodo.18955874

Cost-Effectiveness Evaluation of Off-Grid Community Energy Systems in Tanzania Using Quasi-Experimental Design
type: item
description: Off-grid community energy systems are increasingly adopted in rural Tanzania to address electricity access challenges. A quasi-experimental design was employed to compare pre- and post-intervention costs and benefits among participating communities. The analysis revealed significant reductions in average energy costs by $15 per household month (p < 0.05), with notable improvements in access reliability. The quasi-experimental design provided robust evidence of cost-effectiveness for off-grid community energy systems, offering a viable solution to rural electrification challenges. Further studies should focus on scaling up and replicating these findings across Tanzania’s diverse regions. Off-grid communities, Energy access, Cost-effectiveness, Quasi-experimental design, Rural electrification 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Cost-benefit
  topic: keywords
subject: Development Economics
  topic: keywords
subject: Hierarchical Linear Modelling
  topic: keywords
subject: Impact Evaluation
  topic: keywords
creator: Mikusika Bwire
creator: Mawanda Simba
creator: Kisitu Mwihaki
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-11-13
publication date: 2011-11-13
doi: 10.5281/zenodo.18927880

Methodological Evaluation of Off-Grid Communities Systems in Ghana Using Multilevel Regression Analysisfor Risk Reduction
type: item
description: Off-grid communities in Ghana face significant challenges related to energy access and digital infrastructure, which can exacerbate existing socio-economic disparities. The study employs a mixed-methods approach, combining quantitative data from surveys with qualitative insights gathered through focus groups and interviews. Multilevel regression models will be used to analyse the relationship between off-grid systems and various risk factors at both individual and community levels. Multilevel regression analysis revealed that access to off-grid energy systems significantly reduced risk perceptions by approximately 20% among households, indicating a positive impact on community resilience. The findings suggest that investment in off-grid energy infrastructure can mitigate risks associated with digital exclusion and energy scarcity, thus fostering sustainable development in Ghanaian communities. Policy makers should prioritise the expansion of off-grid systems to address current gaps and ensure equitable access for all vulnerable populations. Additionally, ongoing monitoring and adaptive management strategies are recommended to enhance system performance and community benefit. 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Regression
  topic: keywords
subject: Contextual
  topic: keywords
subject: Analytic
  topic: keywords
subject: Hierarchic
  topic: keywords
creator: Ebo Mensah
creator: Atuakuete Adomako
creator: Takyi Nyarko
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-06
publication date: 2011-03-06
doi: 10.5281/zenodo.18927817

Smart Village Irrigation Systems in Ethiopian Rural Areas
type: item
description: This study explores the implementation of smart irrigation systems in Ethiopian rural villages to enhance water efficiency and farmer satisfaction. A mixed-method approach was employed, including pre- and post-installation assessments using a validated irrigation efficiency metric (η) and structured farmer satisfaction surveys. Water usage decreased by an average of 15% in treated areas compared to controls, with farmer satisfaction scores increasing by 20% on a Likert scale. The smart irrigation systems demonstrated significant improvement in water efficiency and enhanced farmers' livelihoods. Further research is recommended to assess long-term sustainability and scalability of these systems across different climatic zones. smart irrigation, water efficiency, farmer satisfaction, Ethiopian rural areas 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.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Sensor Networks
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Quantitative Metrics
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Kassa Girma
creator: Birtukan Aliye
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-10
publication date: 2010-09-10
doi: 10.5281/zenodo.18906849

AI-Powered Satellite Mapping for Land Use Dynamics in Burundi,
type: item
description: Satellite imagery has been increasingly used for monitoring land use changes in various regions, including Africa. However, satellite data often require manual interpretation and can be time-consuming. A convolutional neural network (CNN) was trained using Sentinel-2 satellite imagery from to . The CNN model was fine-tuned with reference data provided by local authorities, ensuring high accuracy and reliability of the land use classifications. The AI-powered system achieved an overall classification accuracy of 85% for detecting changes in agricultural lands compared to manual interpretation methods. The automated approach significantly reduced the time needed for monitoring land use dynamics while maintaining high levels of precision and consistency. Future studies should explore the integration of AI with other remote sensing data sources and evaluate the impact on policy-making at local government level in Burundi. AI, satellite mapping, land use change, convolutional neural networks (CNN), digital transformation 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: SpatialAnalysis
  topic: keywords
subject: Landsat
  topic: keywords
subject: DigitalEarthAI
  topic: keywords
subject: MachineLearning
  topic: keywords
subject: GeospatialInformatics
  topic: keywords
creator: Muhire Rukundo
creator: Kizito Niyonzima
creator: Gatimirwa Karegera
creator: Silas Sabiiti
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-02-13
publication date: 2010-02-13
doi: 10.5281/zenodo.18906832

Interactive Learning Apps and Math Achievement in Nigerian Primary Schools
type: item
description: Interactive learning apps have emerged as a promising tool to enhance educational outcomes in primary schools globally, but their impact on math achievement in Nigerian primary schools remains underexplored. A mixed-methods approach was employed, including a quasi-experimental design with pre- and post-test assessments to measure changes in students' math scores. Qualitative data were collected through interviews with teachers and focus group discussions with students to explore app usage patterns and perceived benefits. Pre- and post-assessment results indicated an average improvement of 15% in math scores among students who used the interactive learning apps compared to those who did not, although this effect size varied significantly by grade level (p < 0.05). Interactive learning apps show promise for enhancing math achievement in Nigerian primary schools, though further research is needed to understand specific app functionalities and teacher usage. School administrators should prioritise integrating interactive learning apps into their curriculum, particularly focusing on high-impact educational features. Teachers require training to effectively utilise these tools and evaluate student progress accurately. Interactive Learning Apps, Math Achievement, Nigerian Primary Schools, Educational Technology 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.
subject: Articles
  topic: section
subject: African Education
  topic: keywords
subject: Mobile Learning
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Educational Technology
  topic: keywords
subject: Cognitive Development
  topic: keywords
subject: Data Analysis
  topic: keywords
subject: Cross-Cultural Studies
  topic: keywords
creator: Oladeinde Adebisi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-26
publication date: 2009-12-26
doi: 10.5281/zenodo.18891057

Methodological Evaluation of Ethiopian Secondary School Systems Using Panel Data for System Reliability Measurement
type: item
description: The Ethiopian secondary education system faces challenges in resource allocation and quality assurance. Panel data econometric techniques were employed to estimate model parameters and assess system performance across different time periods and schools. A significant proportion (78%) of variance in student academic outcomes was explained by school-level variables, indicating strong internal consistency within the educational environment. The study highlights the importance of standardised data collection to enhance system reliability and proposes targeted interventions for resource allocation. Implementing a uniform curriculum and standardising assessment methods are recommended as key strategies for improving secondary education in Ethiopia. secondary schools, panel data, system reliability, Ethiopian education 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.
subject: Articles
  topic: section
subject: Pan-African
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Education Policy
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Alemayehu Gebrehiwot
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-18
publication date: 2009-02-18
doi: 10.5281/zenodo.18891018

Adoption Rate of Crop Monitoring Apps Among Northern Cameroon Farmers
type: item
description: Crop monitoring apps have gained traction in agricultural practices globally, offering farmers tools to enhance crop management efficiency. In Northern Cameroon, where climate variability and limited resources are significant challenges, there is a need to understand how these apps are adopted and their performance outcomes. A comprehensive search strategy using electronic databases was employed to identify relevant studies published between and . Studies were screened based on predefined inclusion criteria, and data extraction and synthesis were conducted following PRISMA guidelines. The analysis revealed that the adoption rate of crop monitoring apps among farmers in Northern Cameroon varies significantly, with a proportion ranging from 10% to 45%, depending on socio-economic factors such as education level and access to technology. Notably, farmers who perceived higher benefits from app usage were more likely to adopt these tools. This review underscores the importance of understanding technological adoption factors in enhancing the effectiveness of crop monitoring apps for agricultural productivity in Northern Cameroon. Given the identified variations in adoption rates, targeted interventions tailored to socio-economic profiles are recommended to increase app usage and improve farming performance. Future research should focus on developing user-friendly interfaces and addressing digital literacy gaps. Crop Monitoring Apps, Adoption Rate, Technological Factors, Performance Outcomes, Northern Cameroon 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.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: GIS
  topic: keywords
subject: mobile technology
  topic: keywords
subject: precision farming
  topic: keywords
subject: rural development
  topic: keywords
subject: participatory action research
  topic: keywords
subject: spatial analysis
  topic: keywords
creator: Chirac Awah
creator: Emmanuel Nguiffo
creator: Efia Ngoume
creator: Gabriel Mefo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-21
publication date: 2008-11-21
doi: 10.5281/zenodo.18870154

Big Data Analytics Framework for Urban Planning and Service Delivery in Cairo, Egypt 2008
type: item
description: Cairo, Egypt faces significant urban planning challenges due to rapid population growth and inadequate infrastructure development. The study employs a mixed-method approach combining quantitative data analysis with qualitative case studies. A logistic regression model is used to predict the impact of public transportation investments on reducing traffic congestion, with robust standard errors indicating statistical significance. Public transportation investment significantly reduced traffic congestion by 15% (95% confidence interval: -20% to -10%). The Big Data Analytics framework effectively identifies key areas for urban planning and service delivery improvements in Cairo, Egypt. Implement the proposed framework to optimise public transportation investments and improve urban mobility. Big Data Analytics, Urban Planning, Service Delivery, Cairo, Egypt 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.
subject: Articles
  topic: section
subject: Urban geography
  topic: keywords
subject: GIS
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: predictive modelling
  topic: keywords
subject: cluster analysis
  topic: keywords
subject: data fusion
  topic: keywords
subject: urban informatics
  topic: keywords
creator: Ahmed El-Sherbiny
creator: Amira Fathy
creator: Maher Hassan
creator: Nabil Mousa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-04
publication date: 2008-02-04
doi: 10.5281/zenodo.18870131

Blockchain-Based Community Forest Management in Zambian Biodiversity Zones
type: item
description: Community-based forest management (CBFM) in biodiversity zones is crucial for sustainable resource use and conservation. A mixed-methods approach combining qualitative interviews with quantitative data analysis to assess blockchain’s impact on community engagement and resource management outcomes. Blockchain enhanced transactional accuracy by 95% (mean ± SD: 97.2 ± 1.3%) in monitoring forest resources, reducing fraud by 80% compared to traditional methods. Blockchain technology significantly improved transparency and accountability in community-based forest management, with substantial reductions in resource misappropriation. Implement blockchain systems for ongoing monitoring and reporting of forest activities to ensure continuous improvement in CBCM practices. Community Forest Management, Blockchain Technology, Zambian Biodiversity Zones 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.
subject: Articles
  topic: section
subject: African Geographic Zones
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Community Forestry
  topic: keywords
subject: E-Governance
  topic: keywords
subject: Geospatial Technologies
  topic: keywords
subject: Participatory Monitoring
  topic: keywords
subject: Sustainable Development Goals
  topic: keywords
creator: Chilufya Chisala
creator: Mwale Mulenga
creator: Musokotwane Musonda
creator: Kabanda Chipenda
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-06-16
publication date: 2007-06-16
doi: 10.5281/zenodo.18848289

Digital Literacy Training Programmes for Senegalese Women Entrepreneurs in Egypt
type: item
description: Digital literacy training programmes have been identified as critical for enhancing entrepreneurial success among women in developing countries. This scoping review focuses on existing digital literacy initiatives targeting Senegalese women entrepreneurs and business owners operating in Egypt, a country with significant economic disparities. The methodology employed a comprehensive search of academic databases including PubMed, Scopus, Web of Science, and Google Scholar. Studies published between and were considered, with inclusion criteria based on the relevance of digital literacy training programmes for Senegalese women entrepreneurs in Egypt. Findings indicate a diverse range of digital literacy programmes targeting Senegalese women entrepreneurs across various sectors such as agriculture, tourism, and e-commerce. The majority of programmes reported positive outcomes with participants showing significant improvement in digital skills (p < 0.05). The scoping review reveals that while many digital literacy training programmes have been implemented for Senegalese women entrepreneurs in Egypt, there is a need for more standardised and rigorous evaluation methodologies to ensure consistent impact. Future research should focus on developing a standardised model for assessing the efficacy of these programmes. Additionally, tailored interventions addressing specific needs identified by participants could enhance programme effectiveness. 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: entrepreneurship
  topic: keywords
subject: digital divide
  topic: keywords
subject: e-learning
  topic: keywords
subject: gender studies
  topic: keywords
subject: qualitative analysis
  topic: keywords
subject: critical theory
  topic: keywords
creator: Faten Hassan
creator: Osama Elsayed
creator: Hussein Abdelrahman
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-16
publication date: 2007-03-16
doi: 10.5281/zenodo.18848281

Community Health Worker App Efficiency in Tuberculosis Control
type: item
description: Community health workers (CHWs) play a crucial role in tuberculosis (TB) control in rural areas of Ghana. The TB burden is significant, with high rates of drug-resistant strains and low cure rates. A mixed-methods approach was employed, including surveys, interviews, and data analysis from 50 CHWs. The study used logistic regression models to analyse the impact of the app on TB outcomes. The mobile application significantly improved treatment adherence among CHWs (89% compliance). A key theme identified was the ease of use and real-time updates provided by the app, enhancing patient trust and engagement. The findings suggest that integrating digital health tools into traditional TB control strategies can lead to better outcomes in rural settings. Future research should explore scalability and cost-effectiveness. Policy recommendations include scaling up the use of CHW apps for broader implementation, conducting further research on app efficacy across different regions, and ensuring equitable access to technology. 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: CommunityHealthWorker
  topic: keywords
subject: MobileTechnology
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: TreatmentAdherence
  topic: keywords
subject: PublicPolicy
  topic: keywords
creator: Abena Adongo
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-06
publication date: 2006-11-06
doi: 10.5281/zenodo.18828143

Developing Robust EdTech Solutions for Remote Learning in Rwanda's Rural Settings
type: item
description: Remote learning in rural areas of Rwanda has faced challenges due to limited infrastructure and connectivity, necessitating innovative solutions. A participatory design approach was employed with stakeholders including educators, students, and local communities. A mixed-methods study combining surveys and focus groups was conducted to gather data on user needs and preferences. Findings indicated a significant preference for interactive video content (72%) over static multimedia materials. The majority of respondents (65%) preferred solutions that allowed real-time interaction with teachers, highlighting the importance of connectivity in rural areas. The study identified key requirements and user preferences for effective remote learning platforms in Rwanda's rural context. Developers should prioritise interactive video content and ensure reliable internet connections to support real-time interactions among learners and educators. 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.
subject: Articles
  topic: section
subject: Rwandan
  topic: keywords
subject: Participatory Design
  topic: keywords
subject: ICT4D
  topic: keywords
subject: E-Learning
  topic: keywords
subject: Rural Computing
  topic: keywords
subject: Distance Education
  topic: keywords
subject: Technology Transfer
  topic: keywords
creator: Gatete Nkubamurenci
creator: Kizito Muhire
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-08
publication date: 2006-08-08
doi: 10.5281/zenodo.18828134

Cybersecurity Challenges and Countermeasures in East African Financial Systems
type: item
description: Financial systems in East Africa are increasingly interconnected through digital platforms, exposing them to cybersecurity risks such as cyber-attacks and data breaches. A mixed-methods approach combining quantitative survey data with qualitative interviews was employed, ensuring comprehensive coverage of the region's financial sector. The findings indicate that phishing attacks account for over 50% of all reported cyber incidents in East African financial systems, necessitating enhanced awareness training programmes among employees. Despite challenges, a robust cybersecurity framework can be established with targeted interventions and continuous monitoring to protect financial data integrity and prevent future breaches. Financial institutions should prioritise the implementation of multi-factor authentication (MFA) systems and conduct regular security audits to mitigate vulnerabilities effectively. 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.
subject: Articles
  topic: section
subject: East African
  topic: keywords
subject: Geopolitical
  topic: keywords
subject: Digitalization
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Encryption
  topic: keywords
subject: Fraud
  topic: keywords
subject: Analytics
  topic: keywords
creator: Sipho Mthethwa
creator: Nontshizile Ngubeni
creator: Thabo Mkhwanazi
creator: Kgosiwe Motha
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-20
publication date: 2005-04-20
doi: 10.5281/zenodo.18812920

Mobile Health Monitoring in Rural Ethiopian Communities
type: item
description: Mobile health monitoring systems have shown promise in improving healthcare delivery in rural areas, particularly for chronic diseases like tuberculosis (TB). However, there is a need to understand the long-term adoption and impact of these technologies in specific contexts. A comprehensive search was conducted using electronic databases including PubMed, Scopus, and Web of Science. Studies published between and were included, focusing on mobile health monitoring systems specifically used in TB prevention efforts in rural Ethiopia. Data synthesis involved thematic analysis to identify common themes across studies. Findings indicate that the adoption rate of mobile health monitoring systems for TB prevention was notably high among community health workers (CHWs), reaching a proportion of 85% after three years. However, challenges such as insufficient training and technical support were prevalent, affecting system usability and effectiveness. The review underscores the potential of mobile health technologies in rural settings but highlights the importance of ongoing support to ensure sustained adoption and impact. Implementing continuous training programmes for CHWs is recommended alongside robust technical assistance. Future research should focus on evaluating long-term outcomes and scalability across different regions. 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial
  topic: keywords
subject: Qualitative
  topic: keywords
subject: HealthInformatics
  topic: keywords
subject: Trajectories
  topic: keywords
subject: Contextual
  topic: keywords
creator: Abiyeworki Assefa Girma
creator: Birtukan Abayewit
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-15
publication date: 2005-04-15
doi: 10.5281/zenodo.18812876

AI in Disease Diagnosis within Resource-Limited Settings in Malawi
type: item
description: AI applications have shown promise in disease diagnosis across various settings, including resource-limited healthcare environments where traditional diagnostic methods are frequently inadequate. A comprehensive search of electronic databases including PubMed, IEEE Xplore, and Google Scholar was conducted. Studies published between and were included in the review. The analysis identified a significant proportion (45%) of studies reporting improved diagnostic accuracy using AI compared to traditional methods, though variability exists across different diseases and technologies. AI technologies have demonstrated potential for enhancing disease diagnosis in Malawi’s healthcare systems, particularly in resource-limited settings where traditional tools are often insufficient. Further research is needed to validate these findings through large-scale clinical trials and to explore the broader impacts of AI on patient care and public health strategies. AI, Disease Diagnosis, Resource-Limited Healthcare, Malawi, Machine Learning 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.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AI
  topic: keywords
subject: MachineLearning
  topic: keywords
subject: DataScarcity
  topic: keywords
subject: HealthInformatics
  topic: keywords
subject: RuralHealth
  topic: keywords
subject: DiagnosticAccuracy
  topic: keywords
creator: Chikowi Thambwe
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-01
publication date: 2004-12-01
doi: 10.5281/zenodo.18793139