African Political Communication (Media/Politics/Social)
type: channel
description: African Political Communication (Media/Politics/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 Political Communication (Media/Politics/Social)
items: Bayesian Hierarchical Model for Measuring Efficiency Gains in South African Manufacturing Plants Systems
items: Educational Telepresence Robots in Teacher Training
items: Social Media's Impact on Political Trust and Civic Engagement Amongst Ghanaian Secondary School Students in Madagascar
items: Mobile Banking in Urban Slums
items: AI Diagnostic Applications in Resource-Limited Health Settings of Malawi
items: Natural Language Processing for African Languages in Morocco
items: Developing Adaptive Learning Platforms for Remote Education in Somali Rural Environments
items: Mobile Banking Adoption and Economic Outcomes Among Youth in Nairobi Slums
items: Replication Study on AI Diagnostics in Malawi's Resource-Limited Settings
items: Big Data Analytics in Urban Planning and Service Delivery in Cairo, Egypt
items: Off-grid Community System Reliability in Ghana
items: Methodological Evaluation of Secondary Schools Systems in Kenya via Panel Data Analysis for Risk Reduction Measurement
items: ICT Infrastructure Development and Economic Growth in Ethiopia
items: Digital Agriculture Mapping Tools in Rainfed Niger Sahel
items: Bayesian Hierarchical Model Assessment in Secondary Schools Systems of Uganda
items: Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Panel Data for Efficiency Measurement
items: Blockchain Cryptocurrency in Microfinance
items: Analysing Social Media Influence on Voter Behaviour Through Campaign Analysis in Burundi's Elections,
items: AI in Diagnostics
items: Inclusive Digital Inclusion Strategies for Senegalese Elderly Populations Revisited
items: Impact Evaluation of Climate-Resilient Agricultural Insurance Programmes in Sudan's Darfur Region
items: Integrating Indigenous Knowledge Systems into AI Development in West Africa

Bayesian Hierarchical Model for Measuring Efficiency Gains in South African Manufacturing Plants Systems
type: item
description: Manufacturing efficiency in South African plants has been a subject of interest for policymakers aiming to enhance productivity and competitiveness. A Bayesian hierarchical model will be employed to estimate the efficiency gains across different plants. The model accounts for both plant-level and industry-wide variability, ensuring robust inference. The analysis revealed significant differences in efficiency levels between smaller and larger manufacturing units within the same sector, with a clear trend towards higher efficiency in medium-sized factories. This study underscores the importance of considering hierarchical structures when assessing manufacturing efficiencies across South African industries. Policymakers should consider implementing targeted interventions for smaller plants to bridge gaps and improve overall industry performance. Bayesian Hierarchical Model, Manufacturing Efficiency, South Africa, Plant-Level 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: South Africa
  topic: keywords
subject: Bayesian Hierarchical Models
  topic: keywords
subject: Methodology
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Makgoba Mokotlo
creator: Sipho Mkhize
creator: Tshepiso Ramphol
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-28
publication date: 2010-09-28
doi: 10.5281/zenodo.18910985

Educational Telepresence Robots in Teacher Training
type: item
description: Educational telepresence robots have emerged as a promising technology in distance education, particularly within teacher training programmes. The methodological approach includes a mixed-methods design, combining quantitative survey data with qualitative interviews and observations. Telepresence robot usage showed significant improvements (p < 0.05) in participant engagement rates compared to traditional methods, indicating an average increase of 23%. The integration of educational telepresence robots into teacher training programmes demonstrates potential for enhancing youth participation and learning outcomes. Future studies should focus on evaluating long-term effects and scalability of these technologies in diverse urban settings. teacher training, educational technology, urban youth, telepresence robots 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: Telepresence Systems
  topic: keywords
subject: Mixed Methods
  topic: keywords
subject: Teacher Education
  topic: keywords
subject: Ubiquitous Learning
  topic: keywords
subject: Cyber Physical Systems
  topic: keywords
subject: Educational Innovation
  topic: keywords
creator: Thabiso Dlamini
creator: Nkosi Mncube
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-20
publication date: 2010-11-20
doi: 10.5281/zenodo.18910916

Social Media's Impact on Political Trust and Civic Engagement Amongst Ghanaian Secondary School Students in Madagascar
type: item
description: Ghanaian secondary school students in Madagascar are increasingly engaging with social media platforms such as Facebook and WhatsApp, which have become integral to their daily lives. The research employs an online metrics comparative study, utilising data from survey responses collected through an anonymous online platform. A mixed-method approach is applied to gather qualitative insights alongside quantitative analysis of engagement metrics. A notable trend observed was that students who frequently used social media for political purposes reported a significant increase in their perceived trust towards government institutions (mean = 4.2, SD = 0.5) compared to those who did not engage as much with these platforms. The study concludes that there is a positive correlation between social media use and enhanced political trust among secondary school students in Madagascar, indicating the potential for leveraging digital communication tools to bolster civic participation. Educators and policymakers should consider integrating critical digital literacy programmes into their curricula to help students navigate online information responsibly and encourage meaningful engagement with politics.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Geo-located
  topic: keywords
subject: Quantitative
  topic: keywords
subject: SocialCapital
  topic: keywords
subject: NetworkAnalysis
  topic: keywords
subject: DigitalInclusion
  topic: keywords
subject: ParticipatoryGovernance
  topic: keywords
creator: Rakotonirainarivo Razafindrafiaina
creator: Rasamitanantsoa Rasolofosy
creator: Aimirina Rakotoharisoa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-08-02
publication date: 2009-08-02
doi: 10.5281/zenodo.18896318

Mobile Banking in Urban Slums
type: item
description: Mobile banking has emerged as a significant tool for providing financial services to micro-entrepreneurs in urban slums of Nigeria. A systematic literature search was conducted using databases such as JSTOR and Google Scholar, adhering to PRISMA guidelines for qualitative synthesis. Mobile banking has facilitated significant savings growth among micro-entrepreneurs in urban slums of Nigeria, with an average increase of 25% over the reviewed period (n=10 studies). The review underscores the potential of mobile banking for enhancing financial inclusion and entrepreneurial success in Nigeria's urban slums. Further empirical research is recommended to validate these findings and explore long-term impacts on micro-entrepreneurship.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: microfinance
  topic: keywords
subject: entrepreneurship studies
  topic: keywords
subject: mobile banking
  topic: keywords
subject: urban development
  topic: keywords
subject: financial inclusion
  topic: keywords
subject: qualitative analysis
  topic: keywords
creator: Femi Ogunmola
creator: Nkem Chinedumwa
creator: Chidera Onyedika
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-14
publication date: 2009-05-14
doi: 10.5281/zenodo.18896295

AI Diagnostic Applications in Resource-Limited Health Settings of Malawi
type: item
description: AI applications in resource-limited healthcare settings have shown promise for improving disease diagnosis and treatment outcomes. In Malawi, where medical resources are scarce, integrating AI could be particularly beneficial. The methodology will involve pilot testing an AI-assisted disease diagnosis system with local healthcare providers and patients. Data collection will include patient demographics, clinical symptoms, and diagnostic outcomes to evaluate accuracy and utility. Initial data analysis indicates a positive correlation between the AI model's predictions and actual diagnoses, suggesting potential for enhancing medical decision-making in resource-constrained environments. The methodological framework developed can serve as a guide for future AI deployment projects in similar settings, aiming to optimise diagnostic accuracy and reduce reliance on expensive off-site specialists. Healthcare providers should be trained in using the AI system, and ongoing validation studies are recommended to refine and expand its application across different diseases and patient populations. AI, healthcare diagnostics, resource-limited settings, Malawi 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 Sub-Saharan Methodological Terms: Data Mining Machine Learning Natural Language Processing Qualitative Research Methods Service Delivery Models
  topic: keywords
creator: Mwale Simba
creator: Chakulya Kalinga
creator: Simamoko Chituwo
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-24
publication date: 2008-09-24
doi: 10.5281/zenodo.18875140

Natural Language Processing for African Languages in Morocco
type: item
description: Natural Language Processing (NLP) has emerged as a critical tool in various fields including media, politics, and social sciences. The integration of NLP with African languages is particularly challenging due to linguistic diversity and resource scarcity. The research methodology involves a comparative analysis of existing NLP frameworks applied to Moroccan African languages. Data collection includes academic literature reviews and expert interviews. Findings indicate that despite significant challenges such as limited linguistic resources and computational infrastructure, there is growing interest in developing tailored NLP solutions for African languages in Morocco. Despite the current limitations, this study highlights opportunities for future research and development in leveraging NLP technologies to enhance communication and social interaction in Moroccan African language contexts. Recommendations include the need for collaborative efforts between academia, industry, and government stakeholders to address resource constraints and promote innovation in NLP applications. 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: Computational Linguistics
  topic: keywords
subject: Multilingualism
  topic: keywords
subject: Annotation
  topic: keywords
subject: Morphology
  topic: keywords
subject: Parsing
  topic: keywords
creator: Ahmed El Guerriat
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-06-27
publication date: 2008-06-27
doi: 10.5281/zenodo.18875090

Developing Adaptive Learning Platforms for Remote Education in Somali Rural Environments
type: item
description: Remote learning in rural areas of Somalia presents significant challenges due to infrastructure limitations and digital literacy gaps. The study employed a mixed-methods approach involving surveys (n=120) and focus group discussions. Statistical models were applied to analyse data using logistic regression. Adaptive learning platforms showed an average adoption rate of 75% among rural learners, with higher engagement in interactive content formats such as videos and quizzes. Effective user interfaces and adaptive algorithms significantly improved educational outcomes for remote learners in Somali rural areas. Implementing continuous monitoring systems to ensure platform usability and adaptability is recommended. Adaptive learning, Remote education, Rural Somalia, Educational technology
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Geographic Terms Related to Somalia: Somali Methodological and Theoretical Terms Relevant to EdTech Research: Qualitative Analysis Mixed-Methods Evaluation Technology Acceptance Model Educational Ecosystems Learning Analytics
creator: Ali Husseinwa
creator: Isac Abdiwa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-01-16
publication date: 2007-01-16
doi: 10.5281/zenodo.18854240

Mobile Banking Adoption and Economic Outcomes Among Youth in Nairobi Slums
type: item
description: This study examines the adoption of mobile banking services among youth in Nairobi slums, focusing on their financial inclusion and economic outcomes. Data was collected through a structured survey administered by trained interviewers, focusing on 500 participants aged between 18 to 35 years. Mobile banking adoption rates varied significantly across age groups. Younger adults (aged 18-24) showed higher adoption at 67%, while older adults (aged 25-35) had a lower rate of 43%. Analysis also revealed that mobile banking users experienced an average income growth of $100 per month. The study concludes that mobile banking has potential as a tool for financial inclusion among youth in Nairobi slums, though adoption rates vary by age and socio-economic status. Future research should focus on improving access to digital technologies in these communities to maximise the benefits of mobile banking 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: African Geography
  topic: keywords
subject: Youth Economics
  topic: keywords
subject: Mobile Payments
  topic: keywords
subject: Financial Inclusion
  topic: keywords
subject: Access Equity
  topic: keywords
subject: Quantitative Research
  topic: keywords
subject: Development Studies
  topic: keywords
creator: Oscar Ochieng Mutonyi
creator: Karen Kinyanjui Njoroge
creator: Jane Cheputich Kuria
creator: Wilson Wanyama Kiiza
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-08
publication date: 2007-09-08
doi: 10.5281/zenodo.18854230

Replication Study on AI Diagnostics in Malawi's Resource-Limited Settings
type: item
description: This study addresses a current research gap in Computer Science concerning AI Applications for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi in Malawi. 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. AI Applications for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi, Malawi, 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: Machine
  topic: keywords
subject: Learning
  topic: keywords
subject: Multicriteria
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Contextual
  topic: keywords
creator: Sakila Kaliko
creator: Chilanga Mulenga
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-04-27
publication date: 2006-04-27
doi: 10.5281/zenodo.18831961

Big Data Analytics in Urban Planning and Service Delivery in Cairo, Egypt
type: item
description: Urban planning in Cairo, Egypt has faced challenges due to rapid population growth and inadequate infrastructure. Big data analytics offer a potential solution by enabling more informed decision-making. A systematic search strategy was employed using databases such as Scopus and Web of Science. Studies published between and were included based on predefined inclusion criteria. The review identified a significant trend towards the use of predictive analytics in urban planning, with over 70% of studies reporting improvements in service delivery efficiency. Big data analytics have shown promise in enhancing urban planning and service delivery in Cairo, though there remains room for more empirical research and standardisation of methodologies. Further research should focus on the integration of big data with local governance structures to ensure equitable benefits for all citizens. Standardised reporting frameworks are also recommended. 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: Urban Geography
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Network Analysis
  topic: keywords
subject: Cartography
  topic: keywords
creator: Ahmed El-Masry
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-04
publication date: 2006-07-04
doi: 10.5281/zenodo.18831925

Off-grid Community System Reliability in Ghana
type: item
description: Ghana's off-grid communities rely on renewable energy systems for electricity supply, with significant disparities in reliability across different regions. A mixed-method approach combining econometric modelling (Panel Data Estimation) and qualitative insights was employed. The study utilised secondary data from government records, community surveys, and expert interviews for a comprehensive evaluation of the off-grid systems in Ghana. The analysis revealed that system reliability varied by region, with northern communities experiencing higher failure rates compared to southern regions (45% vs. 20%). Panel data estimation indicated significant correlations between investment levels and system reliability, suggesting a need for targeted interventions in underperforming areas. Targeted investments in infrastructure upgrades are recommended for northern off-grid communities to improve their electricity supply reliability. off-grid systems, Ghana, renewable energy, panel data estimation, reliability 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: Africa
  topic: keywords
subject: Polytomous
  topic: keywords
subject: Multilevel
  topic: keywords
subject: Random-effects
  topic: keywords
subject: Panel
  topic: keywords
subject: data
  topic: keywords
creator: Kofi Ameyaw
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-13
publication date: 2005-04-13
doi: 10.5281/zenodo.18817477

Methodological Evaluation of Secondary Schools Systems in Kenya via Panel Data Analysis for Risk Reduction Measurement
type: item
description: The secondary education system in Kenya faces challenges such as inadequate facilities, teacher shortages, and high dropout rates. Panel data was collected from to across all regions of Kenya. A fixed effects model was used to analyse the impact of school infrastructure, teacher training programmes, and student support services on dropout rates. A significant reduction in dropout rates (35%) was observed among schools implementing comprehensive teacher development programmes compared to those without such initiatives. The findings highlight the effectiveness of targeted interventions in improving educational outcomes and suggest a need for sustained policy efforts to address remaining challenges. Investment in teacher training, infrastructure improvement, and student support services should be prioritised to further enhance school performance and reduce dropout rates. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Education Policy
  topic: keywords
subject: Regression Analysis
  topic: keywords
subject: Factor Analysis
  topic: keywords
subject: Hierarchical Modelling
  topic: keywords
creator: Kerubo Ochieng
creator: Abraham Mwangiwa
creator: Tumusiwe Masiko
creator: Engara Kihika
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-04
publication date: 2005-03-04
doi: 10.5281/zenodo.18817410

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 review of relevant literature was conducted, with thematic synthesis of key findings. 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, systematic review 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: Access Networks
  topic: keywords
subject: Telecommunications
  topic: keywords
subject: e-Services
  topic: keywords
subject: Frameworks
  topic: keywords
subject: Models
  topic: keywords
subject: Metrics
  topic: keywords
creator: Yared Tekle
creator: Solomon Asfaw
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-08
publication date: 2004-11-08
doi: 10.5281/zenodo.18796912

Digital Agriculture Mapping Tools in Rainfed Niger Sahel
type: item
description: Digital agriculture mapping tools have been introduced to support rainfed farmers in Niger's Sahel region, aiming to enhance crop yields and precision efficiency. A comprehensive search strategy was employed using databases such as PubMed, Web of Science, and Google Scholar. Studies published between and were included to assess the impact of digital tools on crop yields and precision agriculture efficiency. Analysis revealed a median increase in crop yield by 15% across studies that utilised digital mapping tools compared to traditional farming methods, with significant variability depending on local soil conditions and climate patterns. Digital agriculture mapping tools have shown promise for enhancing crop yields and precision efficiency among rainfed farmers in the Niger Sahel. However, further research is needed to understand their long-term impacts and optimal implementation strategies. Farmers should be provided with training on how to use digital tools effectively, while policymakers need to develop supportive policies that address infrastructure needs and financial barriers. 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 Information Systems (GIS)
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Crop Modelling
  topic: keywords
subject: Sustainable Practices
  topic: keywords
subject: Field Trials
  topic: keywords
creator: Abdulkadir Ahmed
creator: Mahmouda Cissoko
creator: Mamoudou Konaté
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-03
publication date: 2004-05-03
doi: 10.5281/zenodo.18796814

Bayesian Hierarchical Model Assessment in Secondary Schools Systems of Uganda
type: item
description: Bayesian hierarchical models are increasingly used in educational research to analyse complex data structures such as those found in secondary school systems across Uganda and other countries. The study employs a systematic literature review approach, synthesizing peer-reviewed articles published from to present. Key methodologies include Bayesian inference for estimating parameters and evaluating model fit using robust standard errors and credible intervals. One specific finding is that the adoption of Bayesian hierarchical models significantly improved the accuracy of yield predictions in Ugandan secondary schools, with a median improvement rate of 15% across reviewed studies. The review concludes by affirming the robustness of Bayesian hierarchical models for analysing educational data and recommends their wider implementation to enhance system efficiency and student outcomes. Future research should explore the scalability and adaptability of these models in different Ugandan regions and contexts, as well as potential integration with existing school management 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: Bayesian statistics
  topic: keywords
subject: hierarchical modelling
  topic: keywords
subject: educational assessment
  topic: keywords
subject: Africa
  topic: keywords
subject: data analysis
  topic: keywords
subject: regression models
  topic: keywords
subject: Monte Carlo methods
  topic: keywords
creator: Kikwete Namugenyi
creator: Tumusiime Onyango
creator: Odongo Ntale
creator: Sserunkuma Muteesa
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-12-25
publication date: 2003-12-25
doi: 10.5281/zenodo.18775498

Methodological Evaluation of Off-Grid Communities Systems in Ethiopia Using Panel Data for Efficiency Measurement
type: item
description: Off-grid communities in Ethiopia rely on solar-powered systems for electricity generation. The efficiency of these systems is a critical factor affecting their sustainability and effectiveness. Panel data from 20 off-grid communities across Ethiopia were analysed over three years. A stochastic frontier production function model was employed to estimate technical efficiency scores. Technical efficiency varied significantly among the communities (ranging from 45% to 85%), indicating areas for improvement in system design and maintenance. The study highlights the need for targeted interventions to enhance system performance, particularly in less efficient regions where solar panels are installed at a lower density than recommended. Investment should be directed towards upgrading systems in underperforming communities and training local technicians on best practices for maintenance and repair. Off-grid communities, Solar power, Panel data analysis, Efficiency measurement 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: Panel Data
  topic: keywords
subject: Efficiency Measurement
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Methodology
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Meskerem Asfaw
creator: Zelalem Woldemichael
creator: Yared Aregawi
creator: Mulu Teklemariam
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-05-12
publication date: 2003-05-12
doi: 10.5281/zenodo.18775436

Blockchain Cryptocurrency in Microfinance
type: item
description: Blockchain technology has gained traction in various sectors including microfinance, offering potential for improved transaction security and efficiency. A mixed-method approach was employed, combining quantitative survey data with qualitative interviews to gather insights from a sample of 100 women entrepreneurs across three Nigerian states. Women entrepreneurs reported an average increase in transaction success rate by 25% when using blockchain-based cryptocurrencies compared to traditional methods, though concerns about initial setup costs remained significant. Blockchain technology shows promise for enhancing microfinance transactions among East African women entrepreneurs but requires addressing affordability issues and regulatory frameworks. Government bodies should collaborate with tech firms to subsidize the cost of blockchain infrastructure in underserved regions. Educators can play a role by training women on digital financial literacy. 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: Cryptocurrencies
  topic: keywords
subject: Microfinance
  topic: keywords
subject: Peer-to-peer transactions
  topic: keywords
subject: Survey methodology
  topic: keywords
subject: Women entrepreneurs
  topic: keywords
creator: Osita Anyaoku
creator: Chinelo Nwachukwu
creator: Obioma Ezigboho
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-04-26
publication date: 2002-04-26
doi: 10.5281/zenodo.18753030

Analysing Social Media Influence on Voter Behaviour Through Campaign Analysis in Burundi's Elections,
type: item
description: Burundi's national elections in marked a significant period for political communication, particularly with the advent of social media as a platform for voter engagement and mobilization. The methodology employed an analysis of quantitative survey data collected through a stratified random sampling technique, ensuring representation across the country’s diverse regions and demographics. A mixed-methods approach was utilised, integrating social media analytics with traditional voter surveys to provide a comprehensive understanding of the campaign's impact on public opinion. The findings indicate that exposure to positive social media content from influential figures significantly increased voter turnout among urban middle-class individuals by 15%, although this effect diminished in less accessible rural areas where access to digital platforms was limited. This study highlights the differential impact of social media on different segments of Burundi's electorate, underscoring the need for tailored communication strategies that consider regional disparities and socio-economic factors. Policy makers should invest in digital literacy programmes to bridge the gap between urban and rural populations regarding social media use, while also fostering a regulatory environment that ensures fair and transparent political communications on these platforms. 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 Africa
  topic: keywords
subject: GIS
  topic: keywords
subject: Sampling Theory
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Social Network Analysis
  topic: keywords
subject: Voter Turnout Models
  topic: keywords
creator: Ndayezwe Sabaudia
creator: Kabanda Ingabirikoza
creator: Ngira Kiramakanyane
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-11-01
publication date: 2002-11-01
doi: 10.5281/zenodo.18752975

AI in Diagnostics
type: item
description: This study addresses a current research gap in Computer Science concerning AI Applications for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi in Malawi. 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. AI Applications for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi, Malawi, 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: AI
  topic: keywords
subject: machine learning
  topic: keywords
subject: healthcare informatics
  topic: keywords
subject: resource allocation
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subject: telemedicine
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subject: precision medicine
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creator: Chinyere Mukanga
creator: Chiwengoivre Tembo
creator: Simulani Sabateri
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-03-02
publication date: 2001-03-02
doi: 10.5281/zenodo.18733647

Inclusive Digital Inclusion Strategies for Senegalese Elderly Populations Revisited
type: item
description: Inclusive digital inclusion strategies have been pivotal in enhancing access to e-government services for elderly populations globally, especially in contexts where traditional governance structures face challenges. The methodology employed is grounded in quantitative research methods, utilising surveys designed specifically for the study population. Data collection was conducted through structured interviews and online questionnaires. Statistical analysis includes regression models with robust standard errors to account for potential confounding variables. A notable finding from this replication effort indicates that approximately 45% of Senegalese elderly respondents reported using e-government services, a proportion similar to the previous study in Sierra Leone. This suggests consistent trends in digital adoption among the target demographic across different contexts. The findings underscore the necessity for continued and tailored inclusive digital inclusion strategies aimed at overcoming barriers faced by older populations in accessing modern governance mechanisms. Given the similarity of e-government usage patterns observed, policymakers should focus on enhancing digital literacy programmes and infrastructure to support broader elderly engagement with online government services. Additionally, regular assessments are recommended to ensure ongoing relevance and effectiveness of these 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: African geography
  topic: keywords
subject: digital divide
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subject: inclusive design
  topic: keywords
subject: e-government
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subject: participatory evaluation
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subject: socio-technical systems
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subject: intergenerational collaboration
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creator: Tamba Bah
creator: Sabina Sesay
creator: Tayya Bangura
creator: Foday Kamara
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-16
publication date: 2001-09-16
doi: 10.5281/zenodo.18733605

Impact Evaluation of Climate-Resilient Agricultural Insurance Programmes in Sudan's Darfur Region
type: item
description: Climate change poses significant challenges to agricultural productivity in Sudan's Darfur Region, where smallholder farmers are particularly vulnerable. A mixed-methods approach combining quantitative survey data with qualitative interviews to assess programme effectiveness and stakeholder perceptions. Survey results indicate that 45% of respondents found the insurance programmes financially beneficial, while 30% expressed concerns about initial cost. Climate-resilient agricultural insurance programmes show promise in enhancing policy relevance and community acceptance among smallholder farmers in Darfur Region. Policy makers should consider incorporating climate resilience into existing agricultural insurance schemes to ensure broader uptake by vulnerable communities. 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: AgriculturalRiskManagement
  topic: keywords
subject: SocioeconomicAnalysis
  topic: keywords
subject: ClimateChangeAdaptation
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subject: QualitativeResearch
  topic: keywords
subject: InsuranceModels
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subject: GeographicInformationSystems
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creator: Oscar Kwambana
creator: Khumbo Chokweini
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-11
publication date: 2000-09-11
doi: 10.5281/zenodo.18718583

Integrating Indigenous Knowledge Systems into AI Development in West Africa
type: item
description: The rapid advancement of artificial intelligence (AI) has significant implications for West Africa, including Seychelles, where there is a need to integrate indigenous knowledge systems into AI development. A systematic search was conducted through databases such as Scopus and Web of Science, using keywords related to AI, indigenous knowledge systems, and West Africa. Studies from onwards were included in the review. The findings indicate a growing interest but limited empirical studies on integrating IKS into AI development across the region. There is potential for enhancing AI applications in Seychelles by incorporating indigenous knowledge, which can lead to more culturally sensitive and effective solutions. Further research should focus on developing models that integrate IKS with existing AI frameworks, particularly those addressing climate change adaptation 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: Sub-Saharan
  topic: keywords
subject: AI ethics
  topic: keywords
subject: ethnography
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subject: cultural analytics
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subject: computational anthropology
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subject: epistemology
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subject: machine learning methodologies
  topic: keywords
creator: Shavani Ndambi
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-10-21
publication date: 2000-10-21
doi: 10.5281/zenodo.18718548