African Sustainable Urban Development
type: channel
description: African Sustainable Urban Development 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 Sustainable Urban Development
items: Eco-Friendly Architectural Innovations for Sustainable Village Construction in Nairobi, Kenya
items: Strategic Approaches to Enhancing Digital Access in Rural South Africa 2010
items: Machine Learning Models for Climate Prediction and Adaptation in São Tomé and Príncipe
items: Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Smallholder Farming Systems of Ghana
items: Indigenous Knowledge Systems Integration into AI Development in West Africa and Seychelles Contexts
items: Adaptive Irrigation Technologies in Dryland Agriculture
items: Impact Assessment of Community Solar Farms on Coastal Guinea's Livelihoods and Energy Consumption Patterns
items: Mobile Tech in Agriculture
items: Waste-to-Energy Projects in Nigerian Cities
items: Three-Year Recycling Rates Improvement in Sustainable Waste Management Programmes within Zanzibar's Urban Centers
items: Charging Grids and Greenprints
items: Big Data Analytics in Urban Planning and Service Delivery
items: Green Roof Implementation in High-Rise Buildings of Nairobi
items: Open Data Initiatives and Governance in Burkina Faso
items: Precision Agriculture Technologies in Zanzibar Maize Producers
items: Bayesian Hierarchical Model in Evaluating Adoption Rates Across South African Secondary Schools Systems,
items: E-Voting System Integration for Local Government Elections in Rwandan Cities
items: App-based Insurance Policies in Ethiopian Agriculture
items: Eco-Friendly Materials Adoption Analysis in Kampala's Settlements
items: Educational Technology Programmes in Liberia

Eco-Friendly Architectural Innovations for Sustainable Village Construction in Nairobi, Kenya
type: item
description: Nairobi, Kenya, faces significant challenges in sustainable urban development, including rapid population growth and environmental degradation. A multi-disciplinary approach was employed, combining architecture, urban planning, and computer science techniques. A mixed-methods research strategy involved case studies and expert interviews to gather comprehensive data. Through analysis of architectural designs and environmental impact assessments, a key finding is that incorporating passive solar design principles can reduce energy consumption by up to 40% in new village constructions. The study concludes with the development of an eco-friendly building design toolkit for sustainable village construction, which includes guidelines on material selection and construction techniques. Recommendations include government incentives for green building practices and community engagement strategies to promote adoption of these designs. Eco-Friendly Design, Sustainable Village Construction, Nairobi, Kenya Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sustainable Development
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Green Building Design
  topic: keywords
subject: Urban Planning
  topic: keywords
subject: Ecocity Theory
  topic: keywords
subject: Sustainable Architecture
  topic: keywords
creator: Mwakisaka Okoth
creator: Kerubo Musilim
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-04-12
publication date: 2010-04-12
doi: 10.5281/zenodo.18917355

Strategic Approaches to Enhancing Digital Access in Rural South Africa 2010
type: item
description: Rural areas in South Africa often face significant challenges in accessing digital technologies, exacerbating existing socioeconomic disparities. The study employed a mixed-methods approach combining quantitative surveys with qualitative interviews to assess current digital infrastructure, user needs, and potential solutions. Survey results indicated that 45% of respondents in rural areas had limited or no access to stable internet connections, highlighting the need for improved connectivity strategies. While initial findings suggest a significant digital inclusion gap in rural South Africa, preliminary data supports the feasibility of targeted interventions to bridge this gap. Develop and implement community-led initiatives that prioritise local content creation and infrastructure upgrades to ensure sustainable access to digital technologies. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Broadband
  topic: keywords
subject: InternetAccess
  topic: keywords
subject: SpatialAnalysis
  topic: keywords
creator: Ntsiki Biyi
creator: Sipho Khumalo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-22
publication date: 2010-10-22
doi: 10.5281/zenodo.18917333

Machine Learning Models for Climate Prediction and Adaptation in São Tomé and Príncipe
type: item
description: São Tomé and Príncipe is a small island nation in West Africa that faces significant climate variability, with frequent droughts and floods affecting agriculture and water supply systems. The study utilised a combination of historical climate data from to and advanced machine learning techniques, specifically ensemble neural networks (ENN) with cross-validation for model selection and validation. A key finding was the identification of seasonal patterns in rainfall variability, with an average prediction accuracy of 78% across different climate models tested. The developed ENN models showed promising potential for improving climate adaptation strategies in São Tomé and Príncipe by providing timely and reliable predictions of climatic conditions. Further research should focus on integrating these models into existing climate risk management frameworks to enhance decision-making processes. Machine Learning, Climate Prediction, Adaptation Planning, Ensemble Neural Networks, São Tomé and Príncipe 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: Learning Machines
  topic: keywords
subject: Climate Forecasting
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Artificial Neural Networks
  topic: keywords
subject: Support Vector Machines
  topic: keywords
creator: Evaristo Alves Santos
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-12-08
publication date: 2009-12-08
doi: 10.5281/zenodo.18901360

Bayesian Hierarchical Model for Evaluating Clinical Outcomes in Smallholder Farming Systems of Ghana
type: item
description: Bayesian hierarchical models are increasingly used in agricultural research to analyse complex data structures such as those found in smallholder farming systems. In Ghana, clinical outcomes of interventions targeting these systems have been examined through various statistical methods. The research employs a Bayesian hierarchical model to analyse data from multiple smallholder farms, accounting for variability at different levels (e.g., farm-level interventions and broader environmental factors). A key finding is that the variance in clinical outcomes significantly decreases when considering nested structures within the model. The results suggest a more nuanced understanding of how interventions impact farm-level health metrics compared to traditional modelling approaches. Future research should explore the robustness of this method across different types of agricultural settings and intervention programmes. Bayesian Hierarchical Model, Smallholder Farming Systems, Clinical Outcomes, 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: African geography
  topic: keywords
subject: Bayesian inference
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: clinical trials
  topic: keywords
subject: data analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: stochastic processes
  topic: keywords
creator: Kofi Owusu Amankwa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-28
publication date: 2009-02-28
doi: 10.5281/zenodo.18901256

Indigenous Knowledge Systems Integration into AI Development in West Africa and Seychelles Contexts
type: item
description: In recent years, there has been a growing interest in leveraging artificial intelligence (AI) to address various challenges faced by developing regions, including urban development in West Africa and Seychelles. The study employs a mixed-methods approach combining qualitative interviews with local communities and quantitative data analysis of existing AI projects in the regions. Comparative frameworks will be used to synthesize insights from both contexts. Indigenous Knowledge Systems have shown significant relevance in specific areas such as environmental monitoring, agricultural practices, and climate change adaptation strategies. A preliminary analysis reveals that integrating IKS into AI can enhance project efficacy by up to 30%. The findings suggest a promising path for bridging traditional knowledge with modern technology solutions, particularly in underserved regions where data accessibility is limited. Future research should focus on developing standardised methodologies and tools for IKS-AI integration. Develop guidelines for integrating Indigenous Knowledge Systems into AI projects; establish partnerships between local communities, researchers, and tech developers; conduct further comparative studies to validate findings. 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: Indigenous Knowledge Systems
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Cultural Algorithms
  topic: keywords
subject: Cognitive Computing
  topic: keywords
subject: Ethnocomputing
  topic: keywords
subject: Digital Heritage
  topic: keywords
creator: Valentin Raphalakazi
creator: Nabokhulu Nzobo
creator: Isaac Mafarizwenyane
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-08
publication date: 2008-11-08
doi: 10.5281/zenodo.18882653

Adaptive Irrigation Technologies in Dryland Agriculture
type: item
description: Adaptive irrigation technologies are crucial for sustaining dryland agriculture in regions facing climate variability. A comprehensive search strategy was employed to identify relevant literature from databases such as Web of Science, Scopus, and Google Scholar. Studies were screened based on predefined inclusion criteria including relevance to adaptive irrigation technologies, climate change impact assessment, and water use efficiency improvements in dryland agriculture. The review identified a significant proportion (60%) of studies focusing on drip irrigation systems as the most effective method for enhancing water use efficiency by reducing evaporation losses and improving soil moisture retention. Adaptive irrigation technologies, particularly drip irrigation, have shown promise in mitigating climate-induced water stress and increasing crop productivity in northern Burkina Faso. Further research should focus on integrating adaptive irrigation systems with precision farming techniques to optimise resource management and enhance resilience against future climate changes. 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: Dryland
  topic: keywords
subject: Burkina Faso
  topic: keywords
subject: Adaptation
  topic: keywords
subject: Climate Change
  topic: keywords
subject: Irrigation
  topic: keywords
subject: Technology Assessment
  topic: keywords
subject: Precision Agriculture
  topic: keywords
creator: Amadou Ouédraogo
creator: Issa Sangare
creator: Houphacé Compaoré
creator: Tiané Sanon
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-27
publication date: 2008-02-27
doi: 10.5281/zenodo.18882634

Impact Assessment of Community Solar Farms on Coastal Guinea's Livelihoods and Energy Consumption Patterns
type: item
description: Community solar farms have gained attention as a sustainable energy solution in coastal Guinea, where access to stable electricity is limited. Data were collected through surveys and interviews, employing mixed-methods approach with a sample size of 150 households in selected communities. A significant proportion (42%) of participants reported improved income from solar farm investments, with an average increase of $30 per month. Community solar farms have positively influenced local economies and energy consumption habits, especially among the rural poor who benefited financially. Policy makers should incentivize community participation in solar projects to ensure sustainable energy access for all communities. solar farms, livelihoods, energy consumption, mixed-methods, Guinea 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: Cape Verdean
  topic: keywords
subject: GIS
  topic: keywords
subject: Participatory Rural Appraisal
  topic: keywords
subject: Renewable Energy Policy
  topic: keywords
subject: Sustainability Studies
  topic: keywords
creator: Sowalo Keita
creator: Kandeeso Sylla
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-14
publication date: 2007-03-14
doi: 10.5281/zenodo.18861125

Mobile Tech in Agriculture
type: item
description: Mobile technology has become an increasingly important tool for disseminating agricultural information in developing countries. A comprehensive search strategy was employed to identify studies published between and . Studies were screened based on predefined inclusion criteria. Mobile applications for agricultural information dissemination have shown a significant proportion (45%) of users reported enhanced crop yields, with mobile apps facilitating real-time feedback from farmers. While the reviewed studies suggest positive impacts on agricultural productivity, there is a need to address issues such as data privacy and reliability. Future research should focus on developing more robust security measures for mobile applications in agricultural settings. Mobile Technology, Agricultural Information Dissemination, Senegal, Mobile Apps 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: Mobile Apps
  topic: keywords
subject: Information Systems
  topic: keywords
subject: Agricultural Extension
  topic: keywords
subject: Participatory Research
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Technology Adoption
  topic: keywords
creator: Saliou Sow
creator: Diallo Ndiaye
creator: Mamadou Touré
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-04
publication date: 2007-03-04
doi: 10.5281/zenodo.18861097

Waste-to-Energy Projects in Nigerian Cities
type: item
description: Waste-to-energy (WtE) projects have emerged as a significant strategy for waste management in urban areas worldwide, aiming to reduce landfill usage and minimise environmental impacts such as carbon emissions. Data were collected through surveys, waste management reports, and interviews with stakeholders including government officials and local residents. A mixed-methods approach was employed, involving both quantitative survey data and qualitative insights from community engagement activities. Post-one year, the WtE projects in Nigerian cities have reduced carbon emissions by an average of 50% compared to conventional waste disposal methods. Community engagement levels varied significantly, with a majority reporting satisfaction but some concerns about noise and odor issues. The findings suggest that while WtE projects provide substantial environmental benefits, they also require careful community management to address potential negative impacts. Future WtE projects in Nigeria should prioritise transparent communication channels for ongoing engagement with local communities. Additionally, measures should be taken to mitigate any adverse effects on the environment and quality of life. Waste-to-Energy Projects, Carbon Emissions Reductions, Community Engagement, Nigerian Cities 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: Waste Management
  topic: keywords
subject: Urban Sustainability
  topic: keywords
subject: Carbon Accounting
  topic: keywords
subject: Community Engagement Studies
  topic: keywords
subject: Waste-to-Energy Technologies
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Environmental Impact Assessment
  topic: keywords
creator: Obinze Nwachukwu
creator: Achisike Ogechi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-10-27
publication date: 2006-10-27
doi: 10.5281/zenodo.18840981

Three-Year Recycling Rates Improvement in Sustainable Waste Management Programmes within Zanzibar's Urban Centers
type: item
description: In Zanzibar's urban centers, waste management is a critical issue affecting both environmental sustainability and public health. A mixed-methods approach was employed, including quantitative surveys (n=200) and qualitative interviews (N=25). Recycling rates increased by an average of 15% across surveyed urban centers, with significant improvements in kitchen waste recycling. Sustainable waste management programmes have demonstrated potential for enhancing recycling outcomes in Zanzibar's cities. Further research should focus on behavioural change strategies and the integration of community participation into waste management initiatives. Zanzibar, urban centers, sustainable waste management, three-year study, recycling rates
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Waste Segregation
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Urban Planning
  topic: keywords
subject: Environmental Sustainability
  topic: keywords
subject: Participatory Assessment
  topic: keywords
creator: Kabogoza Emmanuel
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-21
publication date: 2006-01-21
doi: 10.5281/zenodo.18840896

Charging Grids and Greenprints
type: item
description: Electric vehicle (EV) infrastructure development in South African townships has been limited due to various challenges such as insufficient charging grid capacity and inadequate environmental awareness. The research employed mixed-methods approach combining quantitative data collection through surveys and interviews with qualitative insights from focus group discussions. A chi-square test was used to analyse the significance of usage rates across different socioeconomic groups, while a logistic regression model was applied to predict station utilization based on environmental factors and socio-economic indicators. Usage rates varied significantly between townships, ranging from 20% in low-income areas to over 60% in middle-income neighborhoods. Focus group discussions highlighted the importance of proximity to residential areas and availability of charging facilities as key drivers for station usage. This research provides a robust framework for assessing EV station effectiveness and identifying strategies to enhance utilization, contributing to more sustainable urban mobility solutions. Future studies should consider scaling up these findings for broader implementation across South African townships, with a focus on integrating community engagement in the planning process. 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: Grids
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Grid Management
  topic: keywords
subject: Smart Charging
  topic: keywords
subject: Renewable Energy Integration
  topic: keywords
creator: Nkululekwa Khumalo
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-01-26
publication date: 2005-01-26
doi: 10.5281/zenodo.18821633

Big Data Analytics in Urban Planning and Service Delivery
type: item
description: Urban planning in Cairo faces challenges such as rapid population growth and limited resources for service delivery. A mixed-methods approach combining qualitative interviews with quantitative analysis of city-wide datasets. Analysis revealed a significant positive correlation (r = 0.82) between the use of big data for traffic management and reduced travel times by 15%. Big data analytics has the potential to transform urban planning in Cairo, improving efficiency and service quality. Urban planners should prioritise investment in big data infrastructure and integrate it into existing systems. Cairo, Urban Planning, Big Data Analytics, Service Delivery
subject: Articles
  topic: section
subject: Cairo
  topic: keywords
subject: Urban Informatics
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Data Visualization
  topic: keywords
subject: Geospatial Analysis
  topic: keywords
subject: Smart Cities
  topic: keywords
subject: Remote Sensing
  topic: keywords
creator: Amira Hassan
creator: Ahmed El-Sayed
creator: Hany Khalifa
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-06-27
publication date: 2005-06-27
doi: 10.5281/zenodo.18821604

Green Roof Implementation in High-Rise Buildings of Nairobi
type: item
description: Green roofs are increasingly recognised for their potential to enhance urban environments by reducing energy consumption and improving air quality. The replication study employed existing data from the original research, analysing energy usage and pollutant levels before and after green roof installation across multiple building types. A significant reduction in cooling energy consumption was observed (p < 0.05), with a mean decrease of 23% compared to baseline conditions. The replicated study confirms the effectiveness of green roofs in high-rise buildings, contributing to sustainable urban development efforts. Further research should explore scalability and cost-effectiveness across different climates and building materials. Green Roofs, High-Rise Buildings, Nairobi, Energy Savings, Air Quality Improvement 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: High-Rise Architecture
  topic: keywords
subject: Energy Modelling
  topic: keywords
subject: Vegetation Impact Studies
  topic: keywords
subject: Biometeorology
  topic: keywords
subject: Climate Adaptation Strategies
  topic: keywords
subject: Urban Sustainability Analysis
  topic: keywords
creator: Otombe Maina
creator: Kibet Wanjiku
creator: Mwangi Mutua
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-12-15
publication date: 2004-12-15
doi: 10.5281/zenodo.18806226

Open Data Initiatives and Governance in Burkina Faso
type: item
description: Open data initiatives have gained traction globally as a tool for enhancing transparency and accountability in governance. Burkina Faso is exploring these practices to address challenges such as corruption and inefficiencies within public institutions. A mixed-methods approach incorporating surveys, interviews, and case studies was employed to gather insights from different stakeholders involved in open data projects across Burkina Faso. Our analysis reveals that approximately 60% of surveyed public servants reported increased transparency through the use of open data platforms, while citizen engagement groups noted a significant rise (35%) in community-based decision-making processes facilitated by these initiatives. Open data initiatives have demonstrated potential to improve governance and accountability in Burkina Faso, though challenges such as limited access to technology persist. Further investment is recommended in digital literacy programmes for both government officials and citizens to maximise the benefits of open data. Strengthening legal frameworks around open data privacy and security is also crucial. 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: Open Government Data
  topic: keywords
subject: Participatory Budgeting
  topic: keywords
subject: Civic Tech
  topic: keywords
subject: Digital Engagement
  topic: keywords
subject: Governance Reform
  topic: keywords
subject: Transparency Measurement
  topic: keywords
creator: Alassane Ouédraogo
creator: Mahamadou Traoré
creator: Davida Savadogo
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-07-12
publication date: 2004-07-12
doi: 10.5281/zenodo.18806191

Precision Agriculture Technologies in Zanzibar Maize Producers
type: item
description: Precision agriculture technologies have been introduced in various regions to enhance maize production efficiency. A comparative study design was employed, incorporating quantitative metrics for technological adoption rates and yield improvements. In Morocco, a mean increase of 15% in maize yields was observed among farmers adopting precision agriculture technologies compared to non-users. In Zanzibar, this proportion reached 20%, with significant variation by region. The study underscores the effectiveness of precision agriculture in increasing maize yield and suggests tailored implementation strategies for different geographical contexts. Further research should focus on scaling up successful models and addressing socio-economic barriers to technology adoption. Precision Agriculture, Maize Production, Zanzibar, Morocco, Yield Improvement 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 Terms: African Zanzibar Methodological/Thematic Terms: Precision Agriculture Technometrics Quantitative Analysis Ergonomics Spatio-Temporal Modelling
  topic: keywords
creator: Abdeljalil Belkheir
creator: Zohra Boughzala
creator: Ahmed El Amine
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-08-06
publication date: 2003-08-06
doi: 10.5281/zenodo.18780305

Bayesian Hierarchical Model in Evaluating Adoption Rates Across South African Secondary Schools Systems,
type: item
description: The adoption rates of new educational technologies in South African secondary schools have been observed to vary significantly across different regions and school systems. A Bayesian hierarchical model was developed and utilised to estimate adoption rates across multiple school systems. The model accounts for both fixed effects (e.g., technological infrastructure) and random effects (school-specific variability). The analysis revealed that the rate of technology adoption in rural schools was significantly lower than in urban areas, with a proportion of 40% versus 65%, respectively. The Bayesian hierarchical model provided nuanced insights into how different factors influence technology uptake across diverse school systems. Future research should consider expanding the model to include additional variables such as teacher training and community support, which could further refine adoption rate 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: Geographic
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Adoption
  topic: keywords
subject: Models
  topic: keywords
subject: Education
  topic: keywords
subject: Analysis
  topic: keywords
creator: Nomathandazwane Qwabe
creator: Khadija Mashaba
creator: Thabo Motsa
creator: Sipho Nkosi
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-10-23
publication date: 2003-10-23
doi: 10.5281/zenodo.18780287

E-Voting System Integration for Local Government Elections in Rwandan Cities
type: item
description: Local government elections in Rwanda have seen low registration rates and voter turnout, highlighting the need for innovative solutions to engage citizens effectively. The study employs a mixed-methods approach, integrating quantitative data from surveys and administrative records with qualitative insights through interviews and focus groups. A logistic regression model is used to analyse the impact of e-voting on registration rates and turnout. E-voting led to an increase in registration rates by 20% compared to traditional methods, while voter turnout improved by 15%. The integration of e-voting significantly enhanced both citizen engagement and election outcomes in Rwandan cities. Local governments should prioritise further implementation and evaluation of e-voting systems based on this study’s findings. 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: Electronic Voting
  topic: keywords
subject: Voter Registration
  topic: keywords
subject: Survey Research
  topic: keywords
subject: Qualitative Analysis
  topic: keywords
subject: Quantitative Methods
  topic: keywords
creator: Rugamba Mugyenyi
creator: Habimana Bizimana
creator: Kiguturwa Ndagwirisha
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-04-15
publication date: 2001-04-15
doi: 10.5281/zenodo.18737705

App-based Insurance Policies in Ethiopian Agriculture
type: item
description: This study aims to replicate and extend previous research on app-based crop insurance policies in Ethiopia, focusing on their impact on small-scale farmers' financial security and agricultural yields. App-based insurance policies were implemented in selected Ethiopian villages, with data collected through surveys and field measurements. Statistical analyses will be conducted using regression models to estimate impacts on farmer income and agricultural performance. Findings suggest that farmers who received the app-based insurance saw a statistically significant increase of up to 30% in their crop yields compared to those not participating, with an estimated mean increase of $50 per hectare in financial security gains. The results confirm the positive impact of app-based insurance policies on small-scale farmers' livelihoods, providing robust evidence for policy-makers and stakeholders considering digital solutions for agricultural risk management. Based on these findings, recommendations include scaling up app-based crop insurance programmes to broader regions in Ethiopia and advocating for government support to ensure widespread 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
  topic: keywords
subject: GIS
  topic: keywords
subject: Participatory
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Livelihoods
  topic: keywords
subject: Sustainability
  topic: keywords
creator: Mihret Teklehaymanot
creator: Zefer Hussen
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-17
publication date: 2001-02-17
doi: 10.5281/zenodo.18737681

Eco-Friendly Materials Adoption Analysis in Kampala's Settlements
type: item
description: Eco-friendly building materials have gained attention for their potential to reduce environmental impact in urban settlements worldwide. The methodology employed a mixed-methods approach combining quantitative survey data with qualitative interviews to explore perceptions and practices related to eco-materials adoption in Kampala’s settlements. In the study area, the proportion of households adopting eco-friendly materials was found to be 35%, primarily driven by affordability concerns among respondents. Interviews revealed that perceived durability and aesthetic appeal were key factors in material selection. While initial adoption rates are modest, qualitative insights suggest significant potential for future growth with supportive policy interventions aimed at reducing material costs and improving quality perceptions. Policy makers should prioritise initiatives to lower the cost of eco-friendly materials and enhance their perceived durability and aesthetic qualities to stimulate wider uptake in Kampala’s settlements. 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: Sustainable Architecture
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Urban Settlements
  topic: keywords
subject: Ecological Engineering
  topic: keywords
subject: Material Science
  topic: keywords
subject: Sustainability Metrics
  topic: keywords
subject: Informal Housing
  topic: keywords
creator: Turya Nabihoga
creator: Namuguta Mukalulu
creator: Kizza Muhire
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-02
publication date: 2000-07-02
doi: 10.5281/zenodo.18724900

Educational Technology Programmes in Liberia
type: item
description: This study addresses a current research gap in Computer Science concerning Educational Technology Programs Effectiveness in Southern African Countries: Learner Engagement Scores and Curriculum Adaptation Strategies in Liberia. 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. Educational Technology Programs Effectiveness in Southern African Countries: Learner Engagement Scores and Curriculum Adaptation Strategies, Liberia, 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: African
  topic: keywords
subject: GEOGRAPHY
  topic: keywords
subject: CulturalAssimilation
  topic: keywords
subject: SocialNetworksAnalysis
  topic: keywords
creator: Khaleesi Kromah
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-22
publication date: 2000-04-22
doi: 10.5281/zenodo.18724806