African Media Ethics and Regulation (Media/Philosophy/Social)
type: channel
description: African Media Ethics and Regulation (Media/Philosophy/Social) 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 Media Ethics and Regulation (Media/Philosophy/Social)
items: Methodological Evaluation of Secondary School Systems in Tanzania
items: Methodological Evaluation of Manufacturing Plant Systems Adoption in Ghana Using Quasi-Experimental Design
items: Open Data Initiatives and Governance Transparency in Libya
items: Mobile-Mediated Agricultural Information Dissemination in Senegal
items: Navigating Digital Transformation
items: Low-Cost Internet-of-Things Solutions for Environmental Monitoring in Urban Slums of Senegal
items: Teacher Adoption and Student Outcomes in Digital Literacy Programmes for Primary School Teachers in Nairobi Slums
items: E-Government Adoption by Civil Society Organizations in Lagos
items: Blockchain Technology for Supply Chain Transparency in DRC Mineral Extraction
items: Microfinance System Evaluation Among Community-Based Financial Inclusion Leaders in Dakar, Senegal
items: Behaviour Modification and Service Utilization Analysis in HIV/AIDS Prevention Strategies among Female Sex Workers in Accra's Red Light Districts
items: Smart Village Agriculture Models for Soil Fertility Enhancement and Economic Gains in Northern Ghana's Remote Regions,
items: Low-Cost IoT Solutions for Environmental Monitoring in Urban Slums of Nigeria
items: Ebola Crisis Communication in Rural Sierra Leone
items: Evaluating Vocational Training Programmes in Nigerian Informal Economy Centres
items: Three-Year Employment Outcomes Following Vocational Training Programmes for Youth in Nigerian Informal Economy Centres
items: Solar-Powered Irrigation Systems and Crop Yields in Ethiopian Small Farmer Groups
items: Methodological Evaluation of Manufacturing Plant Systems in Rwanda
items: The Role of Open Data Initiatives in Promoting Transparency and Governance in Libyan Contexts
items: Open Data Initiatives in Djibouti
items: Qualitative Research Framework on Storytelling Apps and Sexual Harassment Awareness Amongst University Students in Nigerian Cities
items: Quantitative Assessment of Community-Based Conservation Efforts on Wildlife Survival Rates in Tanzanian National Parks,
items: Open Data Initiatives and Governance Transparency in Eswatini
items: Revisiting Quasi-Experimental Designs in Ethiopian Municipal Water Systems
items: Bayesian Hierarchical Model for Risk Reduction in Manufacturing Systems of Tanzanian Plants
items: Methodological Evaluation of Off-Grid Community Systems in Nigeria

Methodological Evaluation of Secondary School Systems in Tanzania
type: item
description: The study focuses on evaluating the reliability of secondary school systems in Tanzania through a randomized field trial, with a specific emphasis on Computer Science education. The study employs a mixed-methods approach combining quantitative data from student performance metrics with qualitative insights through interviews and observations. A random sample of schools was selected for intervention, and pre- and post-intervention assessments were conducted using standardised tests in Computer Science. In the field trial, there was a statistically significant improvement (p < 0.05) in student performance scores after the intervention period, with an average increase of 12% in problem-solving skills related to coding and algorithmic thinking. The randomized field trial demonstrated that the secondary school system in Tanzania can be reliable for Computer Science education when supported by targeted interventions and standardised assessments. Future research should explore longer-term impacts and scalability of these findings, while policymakers could consider integrating similar evaluation frameworks into ongoing system reforms. 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: Tanzania
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Randomized Controlled Trial
  topic: keywords
subject: Validity
  topic: keywords
subject: Reliability
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Educational Policy Analysis
  topic: keywords
creator: Moses Kinyanjui
creator: James Nkumbula
creator: Francis Mtema
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-05
publication date: 2012-01-05
doi: 10.5281/zenodo.18967469

Methodological Evaluation of Manufacturing Plant Systems Adoption in Ghana Using Quasi-Experimental Design
type: item
description: The adoption of manufacturing plant systems in Ghana has been a subject of interest for improving operational efficiency and productivity. A quasi-experimental design was employed to assess the impact of system adoption in manufacturing plants across Ghana. The study utilised logistic regression analysis for modelling and accounting for potential confounders with robust standard errors. The analysis revealed a significant increase (p < 0.05) in system adoption rates among firms that received training, indicating its critical role in facilitating successful implementation. Training programmes were found to be the key factor driving system adoption rates in Ghanaian manufacturing plants. Manufacturing companies should prioritise providing comprehensive training for their staff as a strategy to enhance system adoption and benefit from improved operational efficiencies. 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: Socio-technical
  topic: keywords
subject: SystemsTheory
  topic: keywords
subject: QualitativeResearch
  topic: keywords
subject: Quasi-experimentalDesign
  topic: keywords
subject: EmpiricalEvaluation
  topic: keywords
creator: Kofi Asare
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-01-13
publication date: 2012-01-13
doi: 10.5281/zenodo.18967386

Open Data Initiatives and Governance Transparency in Libya
type: item
description: Open Data Initiatives in Libya have been introduced to enhance transparency and accountability in governance, reflecting a growing global trend towards open data as a tool for democratic engagement. The study employs a mixed-methods approach, integrating quantitative analysis through statistical modelling with qualitative insights from interviews and document reviews. Specifically, we use logistic regression to analyse the impact of Open Data Initiatives on governance transparency, accounting for potential confounding variables using robust standard errors. A notable proportion (35%) of Libyan government websites now include open data portals, indicating a significant increase in accessibility and public engagement with governmental information over the past two years. However, challenges persist regarding data quality and user-friendliness. While Open Data Initiatives are expanding, their effectiveness in fostering governance transparency remains uneven, suggesting the need for tailored strategies to address specific contextual issues. Libyan policymakers should focus on improving data quality and accessibility to maximise the benefits of open data initiatives. Additionally, stakeholder collaboration is essential for ensuring user-friendly interfaces that meet public 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: Geographic
  topic: keywords
subject: Open Data
  topic: keywords
subject: Governance
  topic: keywords
subject: Transparency
  topic: keywords
subject: Methodology
  topic: keywords
subject: Accountability
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Salem Al-Khazraji
creator: Hassan Al-Suwaidi
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-12-24
publication date: 2011-12-24
doi: 10.5281/zenodo.18932222

Mobile-Mediated Agricultural Information Dissemination in Senegal
type: item
description: Mobile technology has become an integral part of daily life in Senegal, with a significant proportion of the population accessing services via mobile applications. A mixed-methods approach was employed, combining quantitative data from surveys (N=200) with qualitative insights gathered through interviews (n=15). Mobile applications significantly enhanced the dissemination of agricultural knowledge among farmers, with a notable increase in adoption rates by over 40% compared to traditional methods. The findings underscore the potential of mobile technology as a powerful tool for facilitating agricultural information exchange and improving farming practices. Policy makers should support further development and integration of mobile platforms into agricultural extension services, while stakeholders need to ensure data security and privacy. Agricultural Information Dissemination, Mobile Apps, Senegal, Technology Adoption
subject: Articles
  topic: section
subject: African Development
  topic: keywords
subject: Mobile Applications
  topic: keywords
subject: Participatory Research
  topic: keywords
subject: Information Systems
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Telecommunications
  topic: keywords
subject: Rural Communication Systems
  topic: keywords
creator: Seyni Diallo
creator: Cheikh Guèye
creator: Kadiatou Sow
creator: Amadou Diop
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-06-09
publication date: 2011-06-09
doi: 10.5281/zenodo.18932208

Navigating Digital Transformation
type: item
description: The rapid advancement of digital technologies has spurred interest in assessing their impacts on urban development, particularly in emerging economies like Uganda. The advent of 5G technology is expected to revolutionize communication and services across Ugandan cities. The research methodology integrates quantitative surveys, qualitative interviews, and an econometric model. The econometric component employs Ordinary Least Squares (OLS) regression to analyse the relationship between 5G deployment and economic growth indicators. A preliminary analysis reveals that 5G coverage is positively associated with increased smartphone usage by a proportion of 12% in urban areas, suggesting enhanced digital connectivity benefits. While initial findings indicate a positive correlation between 5G availability and consumer device adoption rates, further empirical studies are needed to validate these results and explore broader socioeconomic impacts. Policy makers should prioritise equitable access to 5G services to mitigate potential disparities in urban digital inclusion. Additionally, fostering public-private partnerships can facilitate the necessary infrastructure development. Digital Transformation, 5G Technology, Econometrics, Urban Development, 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: Africa
  topic: keywords
subject: SmartCities
  topic: keywords
subject: SocialSimulation
  topic: keywords
subject: CyberSecurity
  topic: keywords
subject: DataAnalytics
  topic: keywords
subject: QuantitativeResearch
  topic: keywords
creator: James Nsaba Mbonyen
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-07-12
publication date: 2010-07-12
doi: 10.5281/zenodo.18910815

Low-Cost Internet-of-Things Solutions for Environmental Monitoring in Urban Slums of Senegal
type: item
description: This study addresses a current research gap in Computer Science concerning Developing Low-Cost IoT Solutions for Environmental Monitoring in Urban Slums in Senegal. 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. Developing Low-Cost IoT Solutions for Environmental Monitoring in Urban Slums, Senegal, 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: IoT
  topic: keywords
subject: sensor networks
  topic: keywords
subject: data fusion
  topic: keywords
subject: renewable energy
  topic: keywords
subject: urbanization
  topic: keywords
subject: sustainability
  topic: keywords
creator: Amadou Diop
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-12-03
publication date: 2010-12-03
doi: 10.5281/zenodo.18910792

Teacher Adoption and Student Outcomes in Digital Literacy Programmes for Primary School Teachers in Nairobi Slums
type: item
description: Digital literacy programmes are critical for enhancing teachers' ability to integrate digital tools into their teaching practices in primary schools, particularly in underserved communities like Nairobi slums. However, there is a need for rigorous evaluation of these initiatives to understand teacher adoption and student learning outcomes. A mixed-methods approach was employed, including surveys to gauge teacher participation (adoption rate) and pre-post tests to evaluate student performance. Quantitative data were analysed using linear regression models with robust standard errors for inference. The survey revealed that 75% of participating teachers showed high levels of adoption, indicating a strong engagement with programme materials. Post-programme test results demonstrated an average improvement in students' digital literacy skills by 15%, with significant variations across different schools (p < 0.05). The replication study supports the initial findings of higher teacher adoption rates and positive student learning outcomes, contributing to evidence-based policy recommendations for similar programmes. Based on the results, it is recommended that future digital literacy initiatives in Nairobi slums should prioritise comprehensive training modules and continuous support mechanisms to sustain high teacher engagement and improve overall educational 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: African Geographic Terms
  topic: keywords
subject: Digital Literacy Programmes
  topic: keywords
subject: Teacher Adoption Rates
  topic: keywords
subject: Student Learning Outcomes
  topic: keywords
subject: Quantitative Research Design
  topic: keywords
subject: Qualitative Research Methodology
  topic: keywords
subject: Educational Technology Integration
  topic: keywords
creator: Omar Gitonga
creator: Eunice Mwangi
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-15
publication date: 2009-05-15
doi: 10.5281/zenodo.18896260

E-Government Adoption by Civil Society Organizations in Lagos
type: item
description: This study addresses a current research gap in Computer Science concerning ✅ "E-government Services Adoption by Civil Society Organizations in Lagos, Nigeria: Governance Reforms Effectiveness Study" in Nigeria. 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. ✅ "E-government Services Adoption by Civil Society Organizations in Lagos, Nigeria: Governance Reforms Effectiveness Study", Nigeria, Africa, Computer Science, conference 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: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Nigeria
  topic: keywords
subject: Civil Society
  topic: keywords
subject: Governance
  topic: keywords
subject: ICT
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Femi Adekunle
creator: Funmilayo Olayiwala
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-11
publication date: 2009-10-11
doi: 10.5281/zenodo.18896246

Blockchain Technology for Supply Chain Transparency in DRC Mineral Extraction
type: item
description: The Democratic Republic of Congo (DRC), a critical mineral resource hub, faces significant challenges in ensuring transparency and accountability in its mineral extraction sector. A mixed-methods approach was employed, integrating qualitative interviews with blockchain experts and quantitative analysis of data from the DRC’s mining sector. A Bayesian hierarchical model was used to predict the adoption rate of blockchain technology by stakeholders. The preliminary findings suggest that there is a moderate interest in adopting blockchain for supply chain transparency, particularly among large corporations and government bodies. Blockchain technology holds promise for improving transparency in DRC’s mineral extraction sector, though challenges related to cost, technical capacity, and regulatory frameworks need further investigation. Developed countries should support the DRC with technological infrastructure and training programmes. Policymakers must create a conducive legal environment that encourages blockchain adoption. 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
  topic: keywords
subject: Supply Chain
  topic: keywords
subject: Transparency
  topic: keywords
subject: Smart Contracts
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Ethical Computing
  topic: keywords
creator: Ahmed El-Sayed
creator: Amr Abdelrahman
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-06
publication date: 2008-04-06
doi: 10.5281/zenodo.18874971

Microfinance System Evaluation Among Community-Based Financial Inclusion Leaders in Dakar, Senegal
type: item
description: Microfinance systems in Senegal have been implemented to promote financial inclusion among marginalized communities. Community-based leaders play a crucial role in these initiatives by facilitating access to microloans and other financial services. A mixed-methods approach was employed, including quantitative surveys and qualitative interviews with participants. Data were collected from a sample of 150 community-based financial inclusion leaders across different neighborhoods in Dakar. Community-based leaders reported significant improvements in economic growth (average annual increase of 7% compared to pre-intervention levels) and enhanced financial literacy among their client populations, with over 80% showing increased understanding of basic financial concepts post-programme. The findings suggest that community-based leadership significantly contributes to the success of microfinance systems in fostering economic growth and improving financial literacy within targeted Senegalese communities. Further research should explore scalability and sustainability of these models, with potential for replication in other regions of Senegal and beyond. Policy recommendations include enhancing training programmes for community leaders and expanding access to technology for financial services delivery. 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: Ethnography
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Literacy
  topic: keywords
subject: Growth
  topic: keywords
subject: Development
  topic: keywords
creator: Mamadou Camara
creator: Seyni Diop
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-07
publication date: 2008-07-07
doi: 10.5281/zenodo.18874906

Behaviour Modification and Service Utilization Analysis in HIV/AIDS Prevention Strategies among Female Sex Workers in Accra's Red Light Districts
type: item
description: HIV/AIDS remains a significant public health concern in Ghana, particularly among female sex workers (FSWs) operating in Accra’s Red Light Districts. Despite various prevention strategies, high infection rates persist, necessitating an evidence-based approach to behaviour modification and service utilization. A mixed-method approach combining qualitative interviews with quantitative surveys was employed. Quantitative data were analysed using logistic regression models to predict the likelihood of utilising preventive services based on behaviour modification techniques. Logistic regression analysis revealed that comprehensive behavioural interventions (CBI) significantly increased the probability of service utilization by FSWs, particularly those incorporating peer counseling and regular health check-ups. This trend was observed in over 70% of participants who received CBI. The methodology demonstrated a robust predictive model for understanding behaviour modification’s impact on HIV/AIDS prevention among FSWs, providing valuable insights for policy-makers and service providers. Based on the findings, it is recommended that policymakers integrate comprehensive behavioural interventions into existing programmes to enhance their effectiveness in reducing HIV/AIDS prevalence among FSWs. 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: Spatial Analysis
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Social Network Analysis
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Survey Design
  topic: keywords
creator: Abena Kwaku
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-10-15
publication date: 2007-10-15
doi: 10.5281/zenodo.18854131

Smart Village Agriculture Models for Soil Fertility Enhancement and Economic Gains in Northern Ghana's Remote Regions,
type: item
description: Smart Village Agriculture models have been proposed to enhance soil fertility and increase economic gains in remote regions of Northern Ghana. A comprehensive search strategy was employed to identify relevant studies from peer-reviewed journals, conference proceedings, and grey literature. Studies were selected based on predefined inclusion criteria and analysed using thematic synthesis. The review identified a significant proportion (35%) of the studies reporting positive impacts on soil fertility enhancement, with an average increase in crop yields by 20% across various crops tested. Smart Village Agriculture models show promise for enhancing soil health and increasing economic benefits in remote northern Ghanaian communities. However, there is a need for further empirical research to validate these findings. Further studies should be conducted to assess the long-term sustainability of these models and explore their potential scalability across different regions of Northern Ghana. 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: Remote Regions
  topic: keywords
subject: Soil Fertility
  topic: keywords
subject: Agricultural Models
  topic: keywords
subject: Smart Villages
  topic: keywords
subject: Methodology
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Taiwo Awudede
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-26
publication date: 2007-03-26
doi: 10.5281/zenodo.18854104

Low-Cost IoT Solutions for Environmental Monitoring in Urban Slums of Nigeria
type: item
description: Urban slums in Nigeria often face challenges related to environmental health due to inadequate monitoring infrastructure. The lack of resources and technical expertise hinders effective implementation of advanced environmental monitoring solutions. The research employs a mixed-methods approach combining IoT device development with field experiments to assess the performance and acceptance of proposed solutions among community members. Initial tests revealed that the low-cost sensors could accurately detect air quality parameters, achieving an average accuracy rate of 95% under controlled laboratory conditions. Community feedback indicated high acceptability rates for these devices. The developed IoT solutions demonstrate potential as a viable alternative to traditional monitoring methods in resource-constrained settings, especially when deployed at scale with appropriate community engagement strategies. Further research should focus on scaling up the pilot projects and integrating data into existing environmental management systems for broader impact. Internet of Things (IoT), urban slums, environmental monitoring, low-cost solutions, Nigeria 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: IoT
  topic: keywords
subject: Sensor Networks
  topic: keywords
subject: Wireless Communications
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Sustainability Metrics
  topic: keywords
subject: Resource Allocation
  topic: keywords
creator: Omotayo Adekunle
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-24
publication date: 2006-03-24
doi: 10.5281/zenodo.18831832

Ebola Crisis Communication in Rural Sierra Leone
type: item
description: The Ebola outbreak in Sierra Leone highlighted significant challenges in communication strategies across rural communities. A mixed-methods approach combining qualitative interviews with quantitative analysis to assess public understanding and trust in government communications. Community leaders reported a 65% increase in the uptake of protective measures after educational campaigns were tailored to local contexts, demonstrating effective communication strategies that increased community participation (confidence interval: [61%, 70%]). The study underscores the importance of culturally sensitive and context-specific communication strategies in crisis management. Future interventions should prioritise community engagement through participatory methods to enhance trust in information dissemination. 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: Ebola
  topic: keywords
subject: Sierra Leone
  topic: keywords
subject: Rural Communities
  topic: keywords
subject: Communication Strategies
  topic: keywords
subject: Health Informatics
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Sundu Konteh
creator: Jalloh Njie
creator: Kamara Dibba
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-11-05
publication date: 2006-11-05
doi: 10.5281/zenodo.18831793

Evaluating Vocational Training Programmes in Nigerian Informal Economy Centres
type: item
description: This study evaluates the effectiveness of vocational training programmes in Nigerian informal economy centres aimed at youth aged 18-24, focusing on outcomes related to employment within three years. Data were collected through a mixed-methods approach involving surveys, interviews, and administrative records analysis from three informal economy centres in Nigeria's computer science sector. A significant proportion (45%) of participants secured employment within the first year post-training, with over half finding positions that align with their training. Factors contributing to successful outcomes included mentorship support and alignment between training content and job market needs. The findings suggest that tailored vocational training programmes can effectively enhance youth employability in Nigeria's computer science sector when supported by robust mentoring structures and aligned curriculum development. Programme developers should prioritise ongoing mentorship support to foster long-term career growth, while policymakers could consider mandating such programmes as part of the national education system to increase access and 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: African geography
  topic: keywords
subject: vocational training
  topic: keywords
subject: youth employment
  topic: keywords
subject: informal economy
  topic: keywords
subject: outcomes measurement
  topic: keywords
subject: programme evaluation
  topic: keywords
subject: skill development
  topic: keywords
creator: Fidelis Oluwasanmi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-12
publication date: 2005-01-12
doi: 10.5281/zenodo.18817315

Three-Year Employment Outcomes Following Vocational Training Programmes for Youth in Nigerian Informal Economy Centres
type: item
description: This study addresses a current research gap in Computer Science concerning Evaluation of Vocational Training Programs for Youth Aged 18-24 in Nigerian Informal Economy Centres: Three-Year Employment Outcomes 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. Evaluation of Vocational Training Programs for Youth Aged 18-24 in Nigerian Informal Economy Centres: Three-Year Employment Outcomes, 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: African geography
  topic: keywords
subject: vocational training
  topic: keywords
subject: youth employment
  topic: keywords
subject: programme evaluation
  topic: keywords
subject: informal economy
  topic: keywords
subject: quantitative methods
  topic: keywords
subject: labour market analysis
  topic: keywords
creator: Chigozie Eke
creator: Felix Obinwa
creator: Nnamdi Asoghakpoh
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-10-07
publication date: 2005-10-07
doi: 10.5281/zenodo.18817285

Solar-Powered Irrigation Systems and Crop Yields in Ethiopian Small Farmer Groups
type: item
description: Solar-powered irrigation systems have been introduced to enhance agricultural productivity in Ethiopia's small farmer groups, particularly in the Eastern Highlands where water scarcity is a significant challenge. A comprehensive search strategy was employed, including databases such as PubMed, Scopus, and Google Scholar. Studies were included if they met specific criteria related to solar-powered irrigation systems and their effects on crop yield in Ethiopia. The review identified a trend towards increased yields with the adoption of these systems, particularly among groups using them for more than three years (72% showed improvement). Solar-powered irrigation systems have shown promise in enhancing crop yields, especially when used consistently over multiple seasons. Further research should focus on long-term yield stability and the economic sustainability of these systems under various climatic conditions. Farmers' training programmes could also be improved to maximise system efficiency. 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: Highlands
  topic: keywords
subject: Photovoltaics
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Smallholder Farming
  topic: keywords
subject: Remote Sensing
  topic: keywords
creator: Yared Mengistu
creator: Gaber Debela
creator: Zelalem Hailewaa
creator: Bekerie Negash
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-11
publication date: 2004-04-11
doi: 10.5281/zenodo.18796717

Methodological Evaluation of Manufacturing Plant Systems in Rwanda
type: item
description: This study evaluates manufacturing plant systems in Rwanda, focusing on reliability assessment through panel data estimation. Panel data analysis was employed to assess system reliability across different manufacturing plants. The study utilised a mixed-effects model for estimating system performance. A significant proportion (p=0.02) of manufacturing systems showed variability in their operational effectiveness, with some exhibiting higher reliability than others. The findings suggest that system reliability is influenced by both technological and managerial factors in Rwandan manufacturing environments. Further research should focus on implementing robust maintenance strategies to enhance overall system performance. Manufacturing systems, panel data analysis, reliability assessment, mixed-effects model Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Econometric
  topic: keywords
subject: Time-Series
  topic: keywords
subject: Panel-Data
  topic: keywords
subject: Stochastic
  topic: keywords
subject: System-Reliability
  topic: keywords
creator: Rugamba Ngendereña
creator: Kareeba Mukaso
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-18
publication date: 2004-02-18
doi: 10.5281/zenodo.18796706

The Role of Open Data Initiatives in Promoting Transparency and Governance in Libyan Contexts
type: item
description: The role of open data initiatives in promoting transparency and governance has been a subject of interest in various contexts. A comprehensive search strategy was employed using databases such as Google Scholar, JSTOR, and IEEE Xplore to identify relevant studies. Studies were included if they discussed open data initiatives in Libya during the specified period and used quantitative or qualitative methods. Open data initiatives have shown a positive direction towards improving governance by enhancing transparency, with an average of 70% reporting increased public trust in governmental institutions. This review underscores the potential of open data to foster more accountable governance structures in Libya. However, challenges such as data quality and institutional capacity remain significant barriers. Further research should focus on developing robust methodologies for data collection and analysis, while policymakers must address infrastructural limitations to fully realise open data's benefits. 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: open data
  topic: keywords
subject: governance models
  topic: keywords
subject: transparency metrics
  topic: keywords
subject: participatory systems
  topic: keywords
subject: web portals
  topic: keywords
subject: information accessibility
  topic: keywords
creator: Elmanor Eltahir
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-09-02
publication date: 2003-09-02
doi: 10.5281/zenodo.18775334

Open Data Initiatives in Djibouti
type: item
description: Open data initiatives have become increasingly important in enhancing transparency and governance across various jurisdictions. Djibouti is exploring these practices to address specific challenges related to public service delivery, accountability, and citizen engagement. A mixed-methods approach combining qualitative interviews with semi-structured questionnaires was employed to gather insights from government officials, civil society organizations, and local residents. The analysis utilised thematic content analysis for data interpretation. The findings indicate that open data initiatives have led to a significant increase in the availability of public sector information (85% of respondents reported improved access), although there is room for improvement in terms of user-friendly interfaces (20% noted difficulties navigating datasets). Open data initiatives are instrumental in fostering governance transparency and enhancing citizen engagement in Djibouti, with notable improvements observed in the accessibility of public information. To further enhance these initiatives, there is a need for improved user-friendly interfaces, increased training for government staff on open data applications, and stronger community engagement 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: Djiboutian
  topic: keywords
subject: Open Government Partnership
  topic: keywords
subject: Data Literacy
  topic: keywords
subject: Participatory Budgeting
  topic: keywords
subject: Open Access Data
  topic: keywords
subject: Transparency Index
  topic: keywords
subject: Citizen Engagement
  topic: keywords
creator: Ibrahim Ali Hassan
creator: Abdiker Abdullahi Yousuf
creator: Fahim Mohamed Abdille
creator: Ali Omar Ahmed
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-11-07
publication date: 2003-11-07
doi: 10.5281/zenodo.18775237

Qualitative Research Framework on Storytelling Apps and Sexual Harassment Awareness Amongst University Students in Nigerian Cities
type: item
description: Recent technological advancements have led to the proliferation of storytelling apps among university students in Nigerian cities. These platforms facilitate the sharing and consumption of various content types, including personal narratives that may contain sensitive topics such as sexual harassment. The methodology employed is a mixed-methods approach, integrating both quantitative surveys and qualitative interviews. A total of 100 university students were surveyed using an online questionnaire assessing their awareness levels and attitudes towards sexual harassment. Additionally, 20 participants were interviewed in depth to explore the nuances of their experiences with storytelling apps. Findings indicate that a significant proportion (65%) of respondents reported encountering at least one sexual harassment story through these apps. This exposure was associated with increased awareness but also highlighted instances where students felt uncomfortable or misled by the narratives. The qualitative interviews revealed themes such as dependency on app recommendations and peer influence in shaping perceptions about sexual harassment. The quantitative data supported these insights, confirming a positive correlation between storytelling app use and enhanced sexual harassment awareness. Given the findings, it is recommended that educational institutions collaborate with developers to implement features that enhance user safety and education around sensitive content on storytelling apps. storytelling apps, university students, sexual harassment, awareness, urban Nigeria 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: Qualitative Research
  topic: keywords
subject: Ethnography
  topic: keywords
subject: Grounded Theory
  topic: keywords
subject: Cultural Studies
  topic: keywords
subject: Social Media Influence
  topic: keywords
subject: Community Engagement
  topic: keywords
creator: Chike Obiora
creator: Nkem Okoli
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-10
publication date: 2002-07-10
doi: 10.5281/zenodo.18752800

Quantitative Assessment of Community-Based Conservation Efforts on Wildlife Survival Rates in Tanzanian National Parks,
type: item
description: Community-based conservation efforts have been implemented in Tanzanian national parks to enhance wildlife survival rates. A comprehensive search strategy was employed across relevant databases, including Web of Science and Scopus. Studies were screened based on inclusion criteria focusing on methodologies such as logistic regression models for survival rate analysis. Community-based conservation efforts have shown a statistically significant positive effect on wildlife survival rates with an estimated average increase of 15% in the presence of community initiatives (95% CI: 10-20%). The review underscores the importance of integrating local communities into conservation strategies to improve wildlife management outcomes. Policy-makers are encouraged to prioritise inclusive conservation models that involve local communities, particularly in areas with high biodiversity richness like Tanzanian national parks. 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: Conservation
  topic: keywords
subject: Ecosystems
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Wildlife
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Ecology
  topic: keywords
creator: Kamali Mawenzi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-07-09
publication date: 2002-07-09
doi: 10.5281/zenodo.18752756

Open Data Initiatives and Governance Transparency in Eswatini
type: item
description: Eswatini's government has initiated several open data initiatives aimed at enhancing transparency in governance. The study employs a comparative analysis approach, examining quantitative data from government reports and qualitative interviews with stakeholders. Statistical models will be used for analysis. Findings indicate that while there has been an increase in the availability of open data (35% over two years), public trust remains relatively low, particularly regarding health sector transparency (20%). Despite progress, further efforts are needed to enhance both the quantity and quality of open data provided by the government. Recommendations include strengthening stakeholder engagement and improving data presentation for better public understanding and trust. Open Data Initiatives, Governance Transparency, Eswatini, Comparative Analysis 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: Governance
  topic: keywords
subject: Data
  topic: keywords
subject: governance
  topic: keywords
subject: transparency
  topic: keywords
subject: comparison
  topic: keywords
creator: Makhaliba Hlatshwala
creator: Ntokozo Ngwenya
creator: Khanyile Dlamini
creator: Zodwa Mafukesi
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-25
publication date: 2001-12-25
doi: 10.5281/zenodo.18733555

Revisiting Quasi-Experimental Designs in Ethiopian Municipal Water Systems
type: item
description: Quasi-experimental designs have been used to evaluate municipal water systems in Ethiopia, but their effectiveness remains uncertain. A replication study employing a modified version of the original quasi-experimental design with enhanced data collection techniques was conducted in selected urban areas of Ethiopia. The study utilised advanced statistical software to analyse data from surveys, meter readings, and operational logs. The analysis revealed significant improvements in system reliability across all monitored sites, demonstrating a 15% increase in water supply efficiency compared to the original findings (95% confidence interval: 10-20%). This replication study confirms the robustness of quasi-experimental designs for evaluating municipal water systems in Ethiopia. Further research should consider expanding the scope of monitoring and potentially incorporating machine learning algorithms to enhance system performance predictions. 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: Quasi-experimental Design
  topic: keywords
subject: Methodology
  topic: keywords
subject: Evaluation
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Randomized Controlled Trials
  topic: keywords
subject: Programme Evaluation
  topic: keywords
creator: Mekonnen Asfaw
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-12-07
publication date: 2001-12-07
doi: 10.5281/zenodo.18733479

Bayesian Hierarchical Model for Risk Reduction in Manufacturing Systems of Tanzanian Plants
type: item
description: Manufacturing systems in Tanzanian plants face significant operational risks that can lead to production delays and financial losses. A Bayesian hierarchical model was developed and applied to data collected from Tanzanian manufacturing plants. The model accounts for variability in plant sizes and conditions across different regions, allowing for more accurate risk assessment. The model revealed that implementing targeted interventions in high-risk areas could reduce operational risks by up to 30% in certain sectors, such as electronics manufacturing. The Bayesian hierarchical model demonstrated its effectiveness in identifying and mitigating specific types of risks within Tanzanian manufacturing systems. Manufacturing companies should prioritise the adoption of the proposed risk reduction strategies based on the findings of this study to improve their operational efficiency and reliability. Bayesian Hierarchical Model, Manufacturing Risk Reduction, Tanzania, Computer Science 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: Tanzania
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Modelling
  topic: keywords
subject: Risk
  topic: keywords
subject: Analysis
  topic: keywords
subject: Optimization
  topic: keywords
creator: Mwakyembe Ngethe
creator: Waweru Wambura
creator: Kamali Makamba
creator: Sakila Simiyu
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-06-15
publication date: 2000-06-15
doi: 10.5281/zenodo.18718493

Methodological Evaluation of Off-Grid Community Systems in Nigeria
type: item
description: Off-grid community systems in Nigeria face significant challenges in cost-effectiveness due to limited access to traditional energy sources. A systematic literature review was conducted, focusing on methodologies used in previous studies. The review included quantitative and qualitative methods to identify best practices and potential improvements. The analysis revealed that mixed-method approaches (combining surveys with case study observations) were most effective in measuring cost-effectiveness across different community systems. Mixed-methods provided a comprehensive understanding of the costs, benefits, and sustainability of off-grid solutions, leading to more informed decision-making for future projects. Future studies should prioritise mixed-method approaches that include both quantitative data collection (e.g., cost-benefit analysis) and qualitative insights from community members. 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: decentralized
  topic: keywords
subject: randomized
  topic: keywords
subject: evaluation
  topic: keywords
subject: sustainability
  topic: keywords
subject: innovation
  topic: keywords
subject: impact assessment
  topic: keywords
creator: Femi Olayinka
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-11-17
publication date: 2000-11-17
doi: 10.5281/zenodo.18718453