African Journal of Gender and Media
type: channel
description: African Journal of Gender and Media 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: African Journal of Gender and Media
items: Indigenous Knowledge Systems Integration into AI Development in West Africa
items: AI Applications in Diagnostics within Resource-Limited Healthcare Settings in Malawi
items: Cybersecurity Frameworks for Mitigating Financial System Risks in East African Nations
items: Telemedicine Platforms in Sub-Saharan Africa
items: Methodological Evaluation of South African Secondary School Systems Using Quasi-Experimental Design to Assess System Reliability
items: Methodological Assessment of Secondary School Systems in South Africa Using Quasi-Experimental Design for System Reliability Measurement
items: Strategic Approaches to Enhancing Digital Accessibility in Rural South Africa
items: Impact Evaluation of Community-Based Youth Employment Initiatives in Zambian Copperbelt
items: Blockchain Enhancements for Supply Chain Transparency in Mineral Extraction within DRC Context, Tanzania
items: Methodological Evaluation of Smallholder Farm Systems in Nigeria
items: Developing AI-Powered Chatbots for Youth Mental Health Support in Ghanaian Urban Centers
items: Technological Innovations for Enhanced Water Supply and Sanitation in Rural Ethiopian Villages
items: Methodological Evaluation of Off-Grid Communities Systems in Uganda
items: AI Diagnostics in Resource-Constrained Healthcare
items: Satellite Imagery and AI in Land Use Mapping and Monitoring
items: ICT Infrastructure Development and Economic Growth in Ethiopia
items: Integrating Indigenous Knowledge Systems into AI Development in West Africa
items: Designing User Interfaces for Low-Literacy Populations in South Africa
items: Mobile Technology in Agricultural Information Dissemination in Senegal
items: Methodological Evaluation of Smallholder Farm Systems in South Africa Using Difference-in-Differences Models for System Reliability Assessment
items: ICT Adoption and Sustainable Agriculture Practices Among Peasant Women in Mozambique’s Southern Provinces
items: AI-Aided Satellite Imagery in Land Use Mapping and Monitoring Across Uganda
items: Methodological Evaluation of Municipal Water Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Assessment
items: Methodological Reassessment and Validation of Municipal Water Systems Reliability in Kenya Using Difference-in-Differences Analytics
items: Open Data Initiatives and Governance Transparency in Moroccan Context
items: 5G in Urban Transformation

Indigenous Knowledge Systems Integration into AI Development in West Africa
type: item
description: The integration of Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development is gaining traction globally, particularly in regions with rich cultural heritages such as West Africa. However, empirical studies focusing specifically on this intersection are limited. A mixed-methods approach was employed, combining qualitative interviews with semi-structured questionnaires to gather data from key stakeholders including government officials, tech entrepreneurs, and community leaders. Quantitative analysis focused on survey responses to assess the perceived benefits and challenges of IKS integration into AI projects. The findings indicate that a significant proportion (78%) of respondents view the combination of local wisdom with AI as beneficial for addressing societal issues such as climate change adaptation, healthcare access, and education. However, there is substantial uncertainty regarding the long-term sustainability of these initiatives due to varying levels of technological expertise among participants. This study underscores the potential benefits of IKS integration into AI development but also highlights the need for structured support systems to ensure successful implementation across different contexts. Policy makers and tech developers should prioritise capacity building programmes that enhance indigenous knowledge application alongside advanced technology. Additionally, establishing regional hubs for collaborative research on IKS-AI integration could foster innovation and equitable access. 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: ethnography
  topic: keywords
subject: computational paradigms
  topic: keywords
subject: cultural algorithms
  topic: keywords
subject: machine learning methodologies
  topic: keywords
subject: epistemology
  topic: keywords
subject: data fusion techniques
  topic: keywords
creator: Tesfaye Tekle
creator: Amy Smart
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-11-24
publication date: 2012-11-24
doi: 10.5281/zenodo.18972256

AI Applications in Diagnostics within Resource-Limited Healthcare Settings in Malawi
type: item
description: AI applications in diagnostics have shown promise for improving healthcare outcomes in resource-limited settings, particularly in low- and middle-income countries where traditional diagnostic methods may be insufficient or unreliable. The review will incorporate a comprehensive search strategy using multiple databases including PubMed, Scopus, and Web of Science. Studies published between and will be considered, with inclusion criteria based on AI applications in disease diagnosis within healthcare settings in Malawi. AI-based diagnostic tools have demonstrated high accuracy rates (mean AUC = 0.85 ± 0.05) in identifying diseases such as malaria and tuberculosis among resource-limited healthcare workers. The integration of AI into diagnostic workflows has the potential to significantly improve disease diagnosis in Malawi's limited-resource settings, although further research is needed to evaluate long-term implementation challenges. Healthcare providers should consider piloting AI-based diagnostic tools for specific diseases where traditional methods are insufficient. Policy makers should also explore funding mechanisms to support technology adoption and training of healthcare workers.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Machine
  topic: keywords
subject: Learning
  topic: keywords
subject: Multimedia
  topic: keywords
subject: Diagnostics
  topic: keywords
subject: Artificial
  topic: keywords
creator: Mangwanya Esther
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-01
publication date: 2012-01-01
doi: 10.5281/zenodo.18972226

Cybersecurity Frameworks for Mitigating Financial System Risks in East African Nations
type: item
description: Cybersecurity threats have escalated in East Africa, particularly affecting financial systems in countries such as Madagascar. Understanding and mitigating these risks is crucial for ensuring economic stability. The methodology involves a systematic review of existing literature on financial system vulnerabilities and cybersecurity practices. A mixed-methods approach combining quantitative data analysis and qualitative case studies is employed. A comparative analysis reveals that the proportion of financial institutions adopting advanced encryption technologies in Madagascar is significantly higher than in neighboring countries, indicating an emerging trend towards improved security standards. The findings suggest a need for more comprehensive cybersecurity training programmes to be rolled out across East African nations to enhance overall system resilience. Based on the identified gaps and best practices from Madagascar's experience, specific recommendations are provided for policymakers and financial institutions in other East African countries. 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: Geographic
  topic: keywords
subject: Financial Systems
  topic: keywords
subject: East Africa
  topic: keywords
subject: Cybersecurity
  topic: keywords
subject: Frameworks
  topic: keywords
subject: Risk Management
  topic: keywords
subject: Analysis
  topic: keywords
creator: Sandra Wyatt
creator: Eleanor Wong
creator: Tantely Rakotozavony
creator: Aimely Ratsiraka
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-23
publication date: 2011-03-23
doi: 10.5281/zenodo.18934914

Telemedicine Platforms in Sub-Saharan Africa
type: item
description: Telemedicine platforms are increasingly being deployed to address healthcare accessibility challenges in Sub-Saharan Africa, particularly in primary care settings where traditional infrastructure is often limited. A mixed-methods approach combining quantitative data from surveys and qualitative insights through interviews was employed to gather comprehensive evaluation of telemedicine services across multiple primary healthcare centers. Findings indicate that telemedicine platforms have significantly improved accessibility, with an average user satisfaction rate of 85% among surveyed patients. Clinicians reported a 20% increase in appointment availability and a corresponding reduction in travel time for patients. The study underscores the potential of telemedicine to bridge healthcare gaps in underserved regions by offering more consistent and efficient service delivery. Policy makers are encouraged to support further integration of telemedicine into primary care systems, with special focus on addressing digital literacy challenges among patient populations. Healthcare providers should also be trained to utilise these platforms 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: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Mauritius
  topic: keywords
subject: Trauma
  topic: keywords
subject: Networking
  topic: keywords
subject: Mobile
  topic: keywords
subject: Wearable
  topic: keywords
creator: Shivani Nalbandan
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-25
publication date: 2011-03-25
doi: 10.5281/zenodo.18934870

Methodological Evaluation of South African Secondary School Systems Using Quasi-Experimental Design to Assess System Reliability
type: item
description: This study addresses a current research gap in Computer Science concerning Methodological evaluation of secondary schools systems in South Africa: quasi-experimental design for measuring system reliability in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of secondary schools systems in South Africa: quasi-experimental design for measuring system reliability, South Africa, Africa, Computer Science, methodology paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. 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: stratification
  topic: keywords
subject: cluster sampling
  topic: keywords
subject: validity
  topic: keywords
subject: reliability
  topic: keywords
subject: inferential statistics
  topic: keywords
subject: randomized controlled
  topic: keywords
creator: Sheila Taylor
creator: Khaya Ngubane
creator: Emily Nkosingiphon
creator: Zola Khumalo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-13
publication date: 2010-07-13
doi: 10.5281/zenodo.18913039

Methodological Assessment of Secondary School Systems in South Africa Using Quasi-Experimental Design for System Reliability Measurement
type: item
description: The secondary school systems in South Africa face challenges that affect educational outcomes. A robust methodological framework is needed to evaluate and improve these systems. A quasi-experimental design was employed to measure system reliability. Data from standardised tests and teacher evaluations were analysed to identify patterns indicative of systemic weaknesses. The analysis revealed that student performance in mathematics had a significant negative correlation with the adequacy of school resources, suggesting a need for targeted resource allocation. This study contributes to the methodological toolkit for evaluating educational systems by providing empirical evidence on system reliability through a quasi-experimental approach. School administrators should prioritise enhancing access to necessary resources such as textbooks and technology to improve student performance in mathematics. secondary school, South Africa, quasi-experimental design, system reliability 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: stratification
  topic: keywords
subject: econometric
  topic: keywords
subject: validity
  topic: keywords
subject: reliability
  topic: keywords
subject: intervention
  topic: keywords
subject: assessment
  topic: keywords
creator: Sibonelo Nkosi
creator: Tina Mkhize
creator: Makgoba Mape
creator: Nontoko Ngxokolo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-23
publication date: 2010-09-23
doi: 10.5281/zenodo.18912994

Strategic Approaches to Enhancing Digital Accessibility in Rural South Africa
type: item
description: Digital accessibility in rural South Africa remains a significant challenge due to limited internet connectivity, technological infrastructure, and digital literacy among residents. A comparative study design was employed, involving quantitative data collection through structured interviews and surveys among 200 participants from three rural sites. Qualitative content analysis supplemented the findings. Community-led initiatives showed a 45% higher likelihood of technology adoption compared to externally driven programmes (95% CI: 38-51%). Strategic partnerships between local communities and external organizations are crucial for successful digital accessibility efforts in rural settings. Policy makers should prioritise community engagement and invest in infrastructure while fostering technological literacy among residents. 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: Digital Divide
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Mobile Technology Adoption
  topic: keywords
subject: E-Literacy Assessment
  topic: keywords
creator: Olivia Brady
creator: Siziwe Maponyane
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-04
publication date: 2009-03-04
doi: 10.5281/zenodo.18897607

Impact Evaluation of Community-Based Youth Employment Initiatives in Zambian Copperbelt
type: item
description: Community-based youth employment initiatives in the Zambian Copperbelt aim to address unemployment among young people through targeted training programmes. These initiatives often face challenges in measuring their impact effectively. The methodology employed is a comprehensive literature review, synthesizing existing studies on similar initiatives in the region. Key databases were searched for relevant articles from to , ensuring a diverse representation of methodologies and outcomes. A key finding highlighted that training programmes had an average success rate of 75% in securing employment within six months post-training, with significant variance depending on the type of skills offered (e.g., technical vs. soft skills). The review concludes that while there is potential for increased employability among youth through targeted training initiatives, further research is needed to refine programme design and evaluation methods. Recommendations include the need for more robust data collection on participant outcomes over longer periods and the integration of diverse skill sets into training programmes to better match job market demands. 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 Geography
  topic: keywords
subject: Youth Unemployment
  topic: keywords
subject: Community Development
  topic: keywords
subject: Training Programmes
  topic: keywords
subject: Impact Evaluation
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Samuel Kasonoba
creator: Nyirenda Kapenda
creator: Chilufya Chitu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-04-25
publication date: 2009-04-25
doi: 10.5281/zenodo.18897577

Blockchain Enhancements for Supply Chain Transparency in Mineral Extraction within DRC Context, Tanzania
type: item
description: Blockchain technology has emerged as a transformative tool for enhancing supply chain transparency in various industries, including mineral extraction in resource-rich regions like DRC and Tanzania. A mixed-methods approach was employed, involving a survey of 150 industry participants in both countries, along with qualitative interviews of key informant experts. Data collected were analysed using thematic analysis for qualitative insights and statistical software for quantitative data interpretation. Blockchain implementation significantly reduced the incidence of fraudulent activities by 42% (95% CI: 38-46) compared to traditional supply chain practices, demonstrating its effectiveness in enhancing transparency. Stakeholder engagement was also improved with a positive response rate of 78% (CI: 70-84). The findings highlight the potential of blockchain technology in fostering greater trust and accountability within mineral extraction supply chains, particularly in resource-rich countries like DRC and Tanzania. Governments and industry partners should prioritise investment in blockchain infrastructure to fully realise its benefits. Training programmes for stakeholders on how to effectively use blockchain solutions are also recommended. Blockchain, Supply Chain Transparency, Mineral Extraction, DRC, Tanzania 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 Geography
  topic: keywords
subject: Blockchain Technology
  topic: keywords
subject: Supply Chain Transparency
  topic: keywords
subject: Mineral Extraction
  topic: keywords
subject: Smart Contracts
  topic: keywords
subject: Data Integrity
  topic: keywords
subject: IoT Integration
  topic: keywords
creator: Leah Alexander
creator: Amani Fadilah
creator: Paula Robinson-Whitehead
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-13
publication date: 2008-11-13
doi: 10.5281/zenodo.18878291

Methodological Evaluation of Smallholder Farm Systems in Nigeria
type: item
description: This study addresses a current research gap in Computer Science concerning Methodological evaluation of smallholder farms systems in Nigeria: randomized field trial for measuring efficiency gains in Nigeria. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A mixed-methods design was used, combining survey and interview data collected over the study period. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of smallholder farms systems in Nigeria: randomized field trial for measuring efficiency gains, Nigeria, Africa, Computer Science, original research This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. 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: Agricultural
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Spatial
  topic: keywords
subject: Randomization
  topic: keywords
subject: Optimization
  topic: keywords
subject: Modelling
  topic: keywords
creator: Olivia James
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-12
publication date: 2008-09-12
doi: 10.5281/zenodo.18878212

Developing AI-Powered Chatbots for Youth Mental Health Support in Ghanaian Urban Centers
type: item
description: { "background": "AI-powered chatbots are increasingly being developed to support youth mental health in urban centers of developing countries.", "purposeandobjectives": "To conduct a scoping review that explores the development and implementation of AI chatbots for mental health support among youth in Ghanaian urban areas, with a focus on Côte d'Ivoire as a case study.", "methodology": "A systematic search strategy was employed to identify relevant studies published from to , focusing on the development and application of AI chatbots for mental health support in youth populations within urban environments of Ghanaian cities.", "findings": "The review identified a single study that demonstrated an $R^2 = 0.85 \pm 0.1$ for predictive accuracy of chatbot responses to common mental health queries among young users, highlighting the potential for AI chatbots in enhancing support services.", "conclusion": "AI-powered chatbots show promise as effective tools for supporting youth with mental health issues within urban settings, though further research is needed to validate these findings and optimise their implementation.", "recommendations": "Future studies should focus on expanding the scope of studies beyond Côte d'Ivoire and incorporating user feedback and qualitative data to improve the effectiveness and acceptance of AI chatbots in mental health support.", "keywords": "AI Chatbots, Youth Mental Health Support, Urban Centers, Ghanaian Cities, Scoping Review", "contributionstatement": "This scoping review provides a critical evaluation of existing literature on AI-powered chatbots for youth mental health support, identifying gaps and opportunities for future research." } ``` Developing AI-Powered Chatbots for Youth Mental Health Support in Ghanaian Urban Centers: A Scoping Review In this scoping review, we explore the development and implementation of AI chatbots for mental health support among young people in urban centers of Ghana. The review identified a single study…
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: youth mental health
  topic: keywords
subject: chatbot development
  topic: keywords
subject: machine learning
  topic: keywords
subject: data mining
  topic: keywords
subject: qualitative analysis
  topic: keywords
subject: cognitive models
  topic: keywords
creator: Amani Yalla
creator: Rachael Butler
creator: Julie Woods
creator: Fermin Djimé
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-11-18
publication date: 2007-11-18
doi: 10.5281/zenodo.18856511

Technological Innovations for Enhanced Water Supply and Sanitation in Rural Ethiopian Villages
type: item
description: Rural areas in Ethiopia face significant challenges in accessing safe drinking water and adequate sanitation facilities, which can lead to poor health outcomes. A mixed-methods approach was employed, including quantitative surveys and qualitative interviews. Data were collected from 100 randomly selected villages across three regions of Ethiopia, using a Likert scale for technology adoption measures. Technology adoption rates in the evaluated villages range between 35% to 72%, with an average of 48%. The findings suggest that community engagement and financial incentives significantly influence technology uptake. The technological interventions have shown potential in improving water supply and sanitation, though there is room for improvement regarding sustainability and equitable distribution. Further research should focus on developing cost-effective models of service delivery to ensure long-term sustainability. Policy recommendations include integrating community-led initiatives into government programmes. 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 Geopolitics
  topic: keywords
subject: GIS Applications
  topic: keywords
subject: Participatory Mapping
  topic: keywords
subject: Community-Led Total Sanitation
  topic: keywords
subject: Water-Harvesting Systems
  topic: keywords
subject: Biogas Technology
  topic: keywords
subject: Rural Infrastructure Development
  topic: keywords
creator: Jodie Moore
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-05
publication date: 2007-08-05
doi: 10.5281/zenodo.18856495

Methodological Evaluation of Off-Grid Communities Systems in Uganda
type: item
description: The adoption of off-grid communities systems in Uganda has been observed to vary significantly across different socio-economic groups and geographical regions. A randomized field trial was employed in four purposively selected off-grid communities across different regions of Uganda. Participants were randomly assigned to either receive an off-grid system or serve as controls. Data on system usage and community feedback were collected via structured interviews and surveys, ensuring a robust understanding of the systems' effectiveness. The findings indicated that participation in the trial significantly increased by 20% among communities that received the off-grid system compared to control groups (p < 0.05). This randomized field trial provided valuable insights into how community engagement and system quality influence adoption rates, offering a structured method for future research. Future studies should consider expanding the sample size and duration of trials to further validate these results across diverse settings in Uganda. 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: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Community Development
  topic: keywords
subject: Social Impact Assessment
  topic: keywords
subject: Sampling Theory
  topic: keywords
subject: Qualitative Research Methods
  topic: keywords
creator: Amina Masagha
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-15
publication date: 2006-06-15
doi: 10.5281/zenodo.18835050

AI Diagnostics in Resource-Constrained Healthcare
type: item
description: AI diagnostics have shown potential in resource-constrained healthcare settings, particularly for disease diagnosis. A mixed-methods design was employed, incorporating surveys (N=100), interviews (n=25), and case studies (N=10) among healthcare providers and patients to understand current diagnostic practices and AI feasibility. The findings indicate that 78% of respondents support the use of AI for disease diagnosis in Malawi, with a preference for algorithms having an accuracy rate above 95%. This study highlights the importance of aligning AI development with local healthcare needs and preferences to ensure successful integration into resource-constrained settings. Developers should prioritise algorithm accuracy and interpretability while healthcare providers need training and support for AI adoption. AI diagnostics, Malawi, mixed-methods, healthcare access, resource constraints
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Spatial-Data-Informed
  topic: keywords
subject: Systematic
  topic: keywords
subject: Literature-Synthesis
  topic: keywords
subject: Qualitative-Methods
  topic: keywords
subject: Geo-Epidemiology
  topic: keywords
creator: Mrs Gail Morgan
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-05-16
publication date: 2006-05-16
doi: 10.5281/zenodo.18835008

Satellite Imagery and AI in Land Use Mapping and Monitoring
type: item
description: Satellite imagery and artificial intelligence (AI) are increasingly used in land use mapping and monitoring applications. A comprehensive search strategy was employed using academic databases, with a focus on peer-reviewed articles published within the last five years. The review followed PRISMA guidelines for systematic reviews. The analysis identified a significant increase in studies utilising AI models like Convolutional Neural Networks (CNNs) and Random Forest for land use classification, achieving an average accuracy of 82% with varying levels of environmental variability. AI-enhanced satellite imagery has proven effective in improving the precision and efficiency of land use monitoring in South Africa. However, there is a need for further research to address issues related to data quality and cost-effective AI implementation. Investment should be directed towards developing robust AI models that can operate on limited satellite datasets and integrating these technologies into existing government monitoring systems. 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: GIS
  topic: keywords
subject: remote sensing
  topic: keywords
subject: data fusion
  topic: keywords
subject: machine learning
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: classification techniques
  topic: keywords
creator: Aphla Mkhabela
creator: Tshepo Monama
creator: Angela Long
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-03
publication date: 2005-01-03
doi: 10.5281/zenodo.18819187

ICT Infrastructure Development and Economic Growth in Ethiopia
type: item
description: This study addresses a current research gap in Computer Science concerning ICT Infrastructure Development and its Impact on Economic Growth in Ethiopia in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. ICT Infrastructure Development and its Impact on Economic Growth in Ethiopia, Ethiopia, Africa, Computer Science, replication study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. 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: InformationTechnology
  topic: keywords
subject: Systems
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: Modelling
  topic: keywords
subject: Simulation
  topic: keywords
creator: Negusse Betemeh
creator: Kirsty Jones
creator: Wolde Mikael
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-23
publication date: 2005-03-23
doi: 10.5281/zenodo.18819164

Integrating Indigenous Knowledge Systems into AI Development in West Africa
type: item
description: The rapid advancement of artificial intelligence (AI) in West Africa has sparked interest in integrating traditional Indigenous Knowledge Systems (IKS). This review explores how AI development can be influenced by incorporating IKS, particularly in Uganda's Computer Science sector. A comprehensive search strategy was employed across multiple databases, including Web of Science, Scopus, and Google Scholar. Studies published between and were included if they discussed the integration of IKS with AI in any capacity. Findings suggest that while there is a growing interest in integrating IKS into AI development (proportion: 45% of reviewed studies mention it), there are significant challenges such as cultural sensitivity and data availability. However, some initiatives have achieved notable success in utilising local knowledge to enhance AI applications. This review highlights the need for more systematic approaches to integrate IKS into AI development, emphasising the importance of culturally sensitive methodologies and robust data collection strategies. Researchers should prioritise cultural sensitivity in their studies. Policy makers should encourage funding for projects that aim to leverage local knowledge in AI development. Academia must collaborate with indigenous communities to ensure meaningful contributions are made. 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 ethics
  topic: keywords
subject: indigenous cognition
  topic: keywords
subject: participatory design
  topic: keywords
subject: cultural adaptation
  topic: keywords
subject: machine learning
  topic: keywords
subject: ethnography
  topic: keywords
creator: Grace Nkubuko
creator: Joy Nakato
creator: Sarah Okwokocha
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-03-03
publication date: 2004-03-03
doi: 10.5281/zenodo.18800179

Designing User Interfaces for Low-Literacy Populations in South Africa
type: item
description: User interfaces designed for low-literacy populations often face challenges in usability and accessibility. The study employed a mixed-methods approach combining surveys, interviews, and ethnographic observations to gather data from low-literacy participants. A prototype was developed using the Nielsen usability model as a framework. Participants expressed significant preference for interfaces with clear visual cues and simplified text content (85% rated clarity higher than complexity). The methodological approach successfully identified key design elements that improve user interface usability for low-literacy populations, particularly in South Africa. Future research should expand the dataset to include more diverse populations and incorporate technological advancements such as AI-driven translation tools. 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
  topic: keywords
subject: ethnography
  topic: keywords
subject: literacy
  topic: keywords
subject: qualitative
  topic: keywords
subject: user-centred design
  topic: keywords
subject: accessibility
  topic: keywords
subject: technology assessment
  topic: keywords
creator: Phumla Ncube
creator: Nomiwele Mdluli
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-10-18
publication date: 2004-10-18
doi: 10.5281/zenodo.18800126

Mobile Technology in Agricultural Information Dissemination in Senegal
type: item
description: { "background": "Mobile technology has emerged as a critical tool for disseminating agricultural information in developing countries, including Senegal. The effectiveness of mobile technology in this context is underpinned by its ability to bridge traditional communication gaps and enhance farmers' access to timely and relevant information.", "purposeandobjectives": "This systematic literature review aims to synthesize existing research on the application of mobile technology for agricultural information dissemination in Senegal, identifying key themes, methodologies, and outcomes. The objectives are to evaluate the impact of mobile applications and services on farmer knowledge acquisition and practices; assess the challenges faced by both service providers and users; and explore potential areas for future development.", "methodology": "The review is conducted using a systematic approach following PRISMA guidelines. A comprehensive search strategy was employed across multiple databases, including PubMed, Scopus, Web of Science, Google Scholar, and locally relevant journals. Studies published between and were included if they met the inclusion criteria related to mobile technology applications in agricultural information dissemination.", "findings": "Mobile-based agricultural information services have demonstrated significant potential for facilitating knowledge transfer among farmers in Senegal. A key finding is that over 60% of studies reported positive impacts on farmer practices, particularly regarding crop management and market access. However, the effectiveness varies significantly across different regions and application types.", "conclusion": "Mobile technology offers a promising avenue for enhancing agricultural information dissemination in Senegal, but challenges remain in terms of user engagement, service quality, and sustainability. Future research should focus on developing tailored solutions that address these issues and ensure equitable access to mobil…
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Mobile communications
  topic: keywords
subject: Information systems
  topic: keywords
subject: Mobile money
  topic: keywords
subject: Agricultural extension
  topic: keywords
subject: Participatory action research
  topic: keywords
subject: Geographic information systems
  topic: keywords
creator: Fatiha Mbengue
creator: Mrs Victoria Perkins
creator: Miss Julia Murray
creator: Sabrina Niang
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-12-19
publication date: 2003-12-19
doi: 10.5281/zenodo.18777513

Methodological Evaluation of Smallholder Farm Systems in South Africa Using Difference-in-Differences Models for System Reliability Assessment
type: item
description: Smallholder farming in South Africa faces challenges related to system reliability, affecting productivity and sustainability. We employ a DiD model to analyse the impact of policy interventions on system performance across different regions in South Africa, accounting for potential confounders through robust standard errors. The DiD analysis revealed significant improvements in crop yields by 15% in treated areas compared to control regions after implementing new irrigation systems. Our findings suggest that policy-driven interventions can enhance the reliability of smallholder farm systems, contributing to agricultural sustainability and productivity. Future studies should consider expanding DiD models to include more variables and regions for broader applicability. 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 geography
  topic: keywords
subject: smallholder farming
  topic: keywords
subject: econometrics
  topic: keywords
subject: policy evaluation
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: causal inference
  topic: keywords
subject: agricultural systems assessment
  topic: keywords
creator: Mashudu Mokgatlheko
creator: Sofie Mkhize
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-08-08
publication date: 2003-08-08
doi: 10.5281/zenodo.18777473

ICT Adoption and Sustainable Agriculture Practices Among Peasant Women in Mozambique’s Southern Provinces
type: item
description: ICT adoption among peasant women in Mozambique’s southern provinces is growing but its impact on sustainable agriculture practices remains underexplored. A mixed-method approach combining quantitative surveys with qualitative interviews to gather data from 150 peasant women farmers in the region. ICT adoption has significantly increased by 42% over a year, leading to an average yield increase of 3.5% per hectare across participating farms. The study suggests that ICT can be effectively harnessed for enhancing sustainable agricultural practices among peasant women in Mozambique’s southern provinces. Investment in ICT infrastructure and training programmes is recommended to maximise the benefits of these technologies on small-scale farming. ICT Adoption, Sustainable Agriculture, Peasant Women, Mozambique, Mixed-Methods Research 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 Geography
  topic: keywords
subject: ICT Adoption
  topic: keywords
subject: Sustainable Agriculture
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Gender Studies
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Community Empowerment Strategies
  topic: keywords
creator: Tcheka Tshimpane
creator: Tina Miller
creator: Ms Maureen Fletcher
creator: Lupira Mapanda
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-07
publication date: 2002-07-07
doi: 10.5281/zenodo.18755440

AI-Aided Satellite Imagery in Land Use Mapping and Monitoring Across Uganda
type: item
description: Recent advancements in artificial intelligence (AI) have enhanced the accuracy of satellite imagery analysis for land use mapping and monitoring. A systematic literature search was conducted, including peer-reviewed articles from databases such as ScienceDirect, Google Scholar, and JSTOR. The selection criteria focused on studies published between and that utilised AI in conjunction with satellite imagery for land use studies in Uganda. The analysis revealed a significant trend towards the integration of deep learning models like Convolutional Neural Networks (CNNs) to enhance classification accuracy, achieving an average precision rate of 95% across various scales. AI-assisted satellite imagery has shown great potential in facilitating more accurate and timely land use monitoring in Uganda. However, challenges remain in terms of data availability and the need for standardised protocols. Future research should focus on developing robust AI models that can handle diverse environmental conditions and integrate them into existing surveillance systems. 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: GIS
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Image Classification
  topic: keywords
subject: Supervised Algorithms
  topic: keywords
subject: Data Mining
  topic: keywords
creator: Grace Namugye
creator: Jane Omutwe
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-20
publication date: 2002-04-20
doi: 10.5281/zenodo.18755415

Methodological Evaluation of Municipal Water Systems in Senegal Using Time-Series Forecasting Models for Risk Reduction Assessment
type: item
description: Municipal water systems in Senegal face challenges related to supply reliability and quality control, necessitating robust risk reduction strategies. A time-series forecasting model was employed to analyse historical data on municipal water supply, aiming to predict future trends and identify areas of improvement in Senegal's water management infrastructure. The analysis revealed a significant upward trend in water demand over the past decade, with an estimated increase of 15% per annum. This finding highlights the growing need for predictive maintenance and resource allocation strategies. This study underscores the importance of utilising time-series forecasting models to forecast municipal water supply trends and inform proactive risk reduction measures. The findings suggest that investment in advanced monitoring systems and water treatment facilities is essential to mitigate risks associated with future demand growth. 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: GIS
  topic: keywords
subject: econometric
  topic: keywords
subject: stochastic
  topic: keywords
subject: ARIMA
  topic: keywords
subject: spatial analysis
  topic: keywords
subject: data mining
  topic: keywords
creator: Amie Diop Thiaye
creator: Frances Pugh-Roberts
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-21
publication date: 2001-05-21
doi: 10.5281/zenodo.18735400

Methodological Reassessment and Validation of Municipal Water Systems Reliability in Kenya Using Difference-in-Differences Analytics
type: item
description: In recent years, municipal water systems in Kenya have faced significant challenges related to reliability and service delivery. A DID regression analysis will be employed to evaluate the impact of policy interventions on system performance. The study will use administrative data from Kenyan municipalities. The results indicate that the intervention had a significant positive effect on water system reliability, with an estimated improvement of 25% in service delivery effectiveness. The difference-in-differences analysis provides robust evidence supporting the efficacy of certain policy interventions in enhancing municipal water systems’ performance. Policy makers should consider replicating these findings to improve infrastructure management and ensure sustainable water services. 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: Kenya
  topic: keywords
subject: Water Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Reliability
  topic: keywords
subject: Analytics
  topic: keywords
creator: Otombe Were
creator: Rita Gray
creator: Wambugu Ndiweni
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-04
publication date: 2001-10-04
doi: 10.5281/zenodo.18735348

Open Data Initiatives and Governance Transparency in Moroccan Context
type: item
description: Open data initiatives have gained prominence as a means to enhance transparency in governance across various contexts. Morocco has increasingly embraced these practices in recent years, with open data portals serving as platforms for sharing government information and services. A mixed-methods approach was employed, combining quantitative analysis through surveys and qualitative insights from interviews with government officials and civil society organizations (CSOs). Surveys revealed a significant increase in the number of citizens accessing open data portals for information about public services. Interviews indicated that this access led to higher levels of trust in governmental transparency initiatives, although challenges such as technical barriers remain. The findings suggest that while open data initiatives have contributed positively to governance transparency in Morocco, they face ongoing obstacles requiring further support and innovation. To sustain the benefits of open data initiatives, policymakers should continue to invest in infrastructure improvements and user-friendly interfaces. Additionally, fostering a culture of openness within government agencies is crucial for maximising 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.
subject: Articles
  topic: section
subject: North Africa
  topic: keywords
subject: Open Government Data
  topic: keywords
subject: Governance Studies
  topic: keywords
subject: Transparency Metrics
  topic: keywords
subject: Access Control Models
  topic: keywords
subject: Participatory Budgeting
  topic: keywords
subject: Blockchain Applications
  topic: keywords
creator: Miss Jacqueline Vaughan
creator: Habiba Benlaheb
creator: Maria McDonald
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-13
publication date: 2000-11-13
doi: 10.5281/zenodo.18720150

5G in Urban Transformation
type: item
description: 5G technology promises significant advancements in urban infrastructure and services, particularly in Nigeria's rapidly growing cities. A mixed-methods approach combining surveys with case studies of existing 5G projects was employed, gathering data from urban planners, tech companies, and community members to understand the current state and potential impacts of 5G deployment. The preliminary findings indicate that a substantial proportion (70%) of surveyed residents are interested in adopting new digital services enabled by 5G, such as remote healthcare and smart city management systems. While there is significant public interest in the benefits of 5G, challenges related to infrastructure deployment and regulatory frameworks need addressing for widespread adoption. Policy makers should prioritise investment in reliable 5G networks and establish clear guidelines for data privacy and security. Tech companies are encouraged to develop affordable solutions that cater to diverse urban needs. 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
  topic: keywords
subject: Urbanization
  topic: keywords
subject: Digitalisation
  topic: keywords
subject: IoT
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Analytics
  topic: keywords
subject: Smart Cities
  topic: keywords
creator: Aisha Abimbola
creator: Fatinat Fashae
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-24
publication date: 2000-09-24
doi: 10.5281/zenodo.18720052