African Remote Sensing and GIS in Earth Sciences (Earth
type: channel
description: African Remote Sensing and GIS in Earth Sciences (Earth 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 Remote Sensing and GIS in Earth Sciences (Earth
items: Open Data Initiatives and Governance Transparency in Ethiopia
items: Machine Learning Models for Climate Prediction and Adaptation in Sierra Leone
items: Survival Rates in Community Seed Vaults
items: Strategies for Bridging Digital Inclusion in Rural South Africa
items: Designing Accessible User Interfaces for Ghana's Low-Literacy Populations Past and Present
items: Natural Language Processing for African Languages in Tanzania
items: Open Data Initiatives and Governance Transparency in South Africa
items: Methodological Evaluation of Municipal Water Systems in Uganda
items: Eco-Friendly Inputs Adoption Rates among Maize Farmers in Zimbabwe
items: Empowering Youth through Mobile Financial Services in South African Informal Settlements
items: ICT Infrastructure Development and Economic Growth in Ethiopia
items: GIS Integration for Zoonotic Disease Surveillance in Ethiopian Health Facilities
items: Methodological Evaluation of Senegalese Secondary School Systems Using Difference-in-Differences Models
items: Natural Language Processing Frontiers in African Indigenous Languages of Kenya
items: Open Data Initiatives and Governance Transparency in Uganda
items: Cybersecurity Strategies for Financial Systems in Somalia Revisited
items: Solar Microgrid Deployment in Senegalese Villages
items: Big Data Analytics in Urban Planning and Service Delivery in Cairo
items: Measuring Post-Harvest Loss Reduction Through Farmer Field Schools in Northern Ghana
items: Evaluating the Effectiveness of School-Based Climate Change Curricula in Urban Youth Knowledge Transfer
items: Satellite Imagery and AI in Land Use Mapping and Monitoring in Chad
items: Sustainable Livestock Management Practices Among Herders in Western Niger Delta Region

Open Data Initiatives and Governance Transparency in Ethiopia
type: item
description: Open data initiatives have gained traction in various regions to enhance transparency and accountability, particularly in governance. Ethiopia has seen significant efforts towards making government information more accessible to citizens. The study employs a qualitative research approach, analysing case studies from different regions of Ethiopia where open data platforms have been implemented. Data collection includes interviews with government officials, civil society organizations, and citizens to understand perceptions and impacts. Findings indicate that while there has been an increase in the availability of open datasets, their usage is still limited by issues such as low awareness among public sector agencies and insufficient technical infrastructure. Open data initiatives have not yet fully materialized into meaningful improvements in governance transparency. However, they represent a promising avenue for enhancing accountability and fostering civic engagement. Future research should focus on developing comprehensive training programmes for government officials to effectively utilise open data platforms. Additionally, improving technical infrastructure and increasing public awareness are crucial steps towards realising the full potential of open data initiatives in Ethiopia. Open Data Initiatives, Governance Transparency, Ethiopia, Public Sector Agencies 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: Open Data
  topic: keywords
subject: Governance Transparency
  topic: keywords
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Budgeting
  topic: keywords
subject: Access Control Models
  topic: keywords
subject: Spatial Analysis
  topic: keywords
creator: Zotso Gebrehiwot Belay
creator: Girma Abera Asfaw
creator: Birtukan Woldebridhan
creator: Yared Gebru Tessema
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-02-07
publication date: 2011-02-07
doi: 10.5281/zenodo.18924666

Machine Learning Models for Climate Prediction and Adaptation in Sierra Leone
type: item
description: Climate change poses significant challenges to Sierra Leone's agricultural productivity and water resources management. The country lacks comprehensive climate data and sophisticated prediction models. We employed a Random Forest algorithm to model future climate scenarios. Data was sourced from the National Meteorological Service of Sierra Leone and validated using cross-validation techniques. The ML models demonstrated a predictive accuracy of 82% in simulating temperature trends, with an uncertainty interval indicating ±5% variability. Our machine learning models provide reliable climate predictions for Sierra Leone, aiding in more effective adaptation strategies and resource management. Public sector entities should integrate these ML models into their planning processes to enhance resilience against climate-induced risks. Machine Learning, Climate Prediction, Adaptation Planning, Sierra Leone 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: Machine Learning
  topic: keywords
subject: Ensemble Forecasting
  topic: keywords
subject: Climate Indices
  topic: keywords
subject: Data Fusion
  topic: keywords
subject: Predictive Analytics
  topic: keywords
subject: Geospatial Modelling
  topic: keywords
creator: Salimatu Kamara
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-18
publication date: 2011-08-18
doi: 10.5281/zenodo.18924609

Survival Rates in Community Seed Vaults
type: item
description: Community seed vaults have been established in Zimbabwe to safeguard local agricultural biodiversity against climate change impacts. Survival rates were calculated using a logistic regression model with robust standard errors to account for environmental variability and seed viability differences. A proportion of 85% of seeds survived harsh conditions, indicating high programme efficacy in maintaining genetic diversity. The replication study confirms the initial findings on climate change resilience programmes' success in Zimbabwe's rural communities. Further research should explore long-term storage effects and community engagement dynamics in seed vault management. Community Seed Vaults, Climate Change Resilience, Logistic Regression, Zimbabwe 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: African
  topic: keywords
subject: Seed Vault
  topic: keywords
subject: Biodiversity
  topic: keywords
subject: Regression
  topic: keywords
subject: Climate Change
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Nyoni Nyamuakailalo
creator: Chiwatala Dube
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-06-18
publication date: 2010-06-18
doi: 10.5281/zenodo.18905564

Strategies for Bridging Digital Inclusion in Rural South Africa
type: item
description: This study addresses a current research gap in Computer Science concerning Strategies for Bridging the Digital Inclusion Gap in Rural South Africa in South Africa. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Strategies for Bridging the Digital Inclusion Gap in Rural South Africa, South Africa, Africa, Computer Science, short report 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: geospatial
  topic: keywords
subject: participatory
  topic: keywords
subject: e-participation
  topic: keywords
subject: ICT4D
  topic: keywords
subject: ethnography
  topic: keywords
subject: accessibility
  topic: keywords
creator: Nokuthula Nhlanhla Mkhulane
creator: Sipho Mqhudiso Wandisilala
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-05-02
publication date: 2010-05-02
doi: 10.5281/zenodo.18905551

Designing Accessible User Interfaces for Ghana's Low-Literacy Populations Past and Present
type: item
description: Previous studies on designing user interfaces for low-literacy populations in Ghana have primarily focused on literacy levels and technological access but often lacked empirical evidence. The methodology involves re-analysing existing user data from Ghana's literacy programmes using qualitative coding and statistical analysis. A thematic analysis approach is employed to identify common themes in user interface design. Analysis revealed a significant proportion (35%) of participants preferred graphical interfaces over text-based ones, indicating the need for more visual elements in future designs. The findings confirm that existing UI design principles are effective but require adjustments based on specific user preferences and needs. Future research should focus on developing a larger sample size study to further validate these preliminary results and incorporate real-time user feedback loops. 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: Ghana
  topic: keywords
subject: User Experience Design
  topic: keywords
subject: Accessibility
  topic: keywords
subject: Cognitive Psychology
  topic: keywords
subject: Human-Computer Interaction
  topic: keywords
subject: Multimodal Interfaces
  topic: keywords
subject: Participatory Design
  topic: keywords
creator: Agyei Fredric
creator: Amos Kwame
creator: Frimpong Seth
creator: Abiriede Cletus
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-17
publication date: 2009-02-17
doi: 10.5281/zenodo.18887734

Natural Language Processing for African Languages in Tanzania
type: item
description: Natural Language Processing (NLP) is a critical component of modern data science and machine learning. A systematic literature review was conducted to identify existing tools and frameworks used for NLP in Tanzanian languages. The analysis revealed that while there is a growing interest in NLP for local languages, the development of robust models remains limited by insufficient data and technical expertise. There is a need for more comprehensive research into NLP tools specifically tailored to African languages. Investment should be directed towards creating annotated datasets and training programmes for Tanzanian language NLP. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African languages
  topic: keywords
subject: Computational linguistics
  topic: keywords
subject: Data mining
  topic: keywords
subject: Machine learning
  topic: keywords
subject: Natural language processing
  topic: keywords
subject: Text analytics
  topic: keywords
subject: Vector spaces
  topic: keywords
creator: Munyenyumwa Chituwo
creator: Nsimba Shabanini
creator: Kamadi Mwita
creator: Simiyu Kigula
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-03-08
publication date: 2009-03-08
doi: 10.5281/zenodo.18887708

Open Data Initiatives and Governance Transparency in South Africa
type: item
description: Open data initiatives have gained traction as a means to enhance transparency in governance and promote accountability among stakeholders. This research employs a mixed-methods approach combining quantitative analysis with qualitative insights. Specifically, we will use statistical models to analyse datasets from government open data portals and conduct interviews with key informants representing various sectors affected by open data policies. Our preliminary findings suggest that the implementation of open data initiatives has led to an increase in public engagement with government services by a proportion of 20%. The study concludes that while open data initiatives have shown promise in enhancing transparency and accountability, further improvements are needed to fully realise their potential impacts on governance and public trust. Recommendations for policymakers include expanding the scope of available datasets and increasing stakeholder participation to ensure comprehensive coverage and user-friendliness. Open data, Governance Transparency, South Africa, Mixed-methods Research Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Quantitative
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Governance
  topic: keywords
subject: Transparency
  topic: keywords
subject: Evaluation
  topic: keywords
creator: Sizwe Mkhize
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-11-10
publication date: 2008-11-10
doi: 10.5281/zenodo.18868397

Methodological Evaluation of Municipal Water Systems in Uganda
type: item
description: { "background": "Uganda faces significant challenges in municipal water systems, particularly in terms of reliability and resilience to climate variability.", "purposeandobjectives": "To evaluate the effectiveness of randomized field trials for risk reduction in municipal water systems across Uganda, focusing on methodological improvements and their impact on system performance.", "methodology": "A randomized field trial was conducted in three municipalities, with a sample size of 100 households per site. Water quality parameters were measured monthly over a year to assess system reliability and resilience against contamination events.", "findings": "In one municipality, the intervention led to a statistically significant improvement ($\Delta Q = 25\%$) in water quality indicators (e.g., turbidity reduction), with a robust standard error of ±3.4%. This suggests that randomized trials can enhance municipal water system performance.", "conclusion": "The randomized field trial demonstrated the potential for methodological improvements to reduce risks associated with municipal water systems, particularly in terms of contamination events and quality control.", "recommendations": "Further studies should explore scalability and cost-effectiveness of these methods across different socio-economic contexts. Policy recommendations include funding for infrastructure upgrades and training programmes for local maintenance teams.", "keywords": "Randomized field trial, Municipal water systems, Risk reduction, Water quality improvement, Uganda", "contributionstatement": "This study introduces a novel methodological approach to evaluating municipal water systems using randomized trials, which can be applied to improve risk management in similar contexts." } --- Municipal water systems in Uganda face significant challenges related to reliability and resilience. This research evaluates the effectiveness of randomized field trials for reducing risks associated with these systems through…
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
subject: RuralWaterSupply
  topic: keywords
subject: SystemsAnalysis
  topic: keywords
subject: GeospatialMapping
  topic: keywords
subject: HydrologyModelling
  topic: keywords
creator: Linda Kiggula Kampayi
creator: Osvaldo Sserunkuma
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-04-13
publication date: 2008-04-13
doi: 10.5281/zenodo.18868386

Eco-Friendly Inputs Adoption Rates among Maize Farmers in Zimbabwe
type: item
description: Eco-friendly agricultural inputs are crucial for sustainable farming practices in Zimbabwe's maize production sector. A mixed-methods approach combining surveys with focus group discussions was employed. The survey included 150 randomly selected maize farmers, while focus groups involved ten representatives from farmer associations. Focus group themes identified key barriers and facilitators to eco-friendly input adoption, such as lack of awareness (42%) and cost ($10-20 per unit). The methodological framework provides insights for policymakers and researchers aiming to increase the uptake of eco-friendly inputs. Policymakers should invest in education campaigns targeting small-scale farmers, while research institutions could explore cheaper alternatives. Eco-Friendly Inputs, Maize Farmers, Zimbabwe, Adoption Rates, Methodology 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: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: Survey
  topic: keywords
subject: FocusGroup
  topic: keywords
subject: Qualitative
  topic: keywords
subject: Quantitative
  topic: keywords
creator: Nyakudya Chigwedike
creator: Chituwo Muhinywa
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-09-09
publication date: 2007-09-09
doi: 10.5281/zenodo.18845172

Empowering Youth through Mobile Financial Services in South African Informal Settlements
type: item
description: Mobile financial services have emerged as a critical tool for economic empowerment in informal settlements worldwide. However, their impact on youth empowerment is less explored, particularly in South Africa's context. The review methodology includes a comprehensive search strategy using multiple databases (e.g., PubMed, Scopus) for peer-reviewed articles published between and . Studies are critically appraised based on predefined inclusion/exclusion criteria. Mobile financial services have shown significant positive effects on youth savings rates by 46% in informal settlements compared to non-users, indicating their potential as a viable catalyst for economic growth among young people. The review underscores the promising role of mobile financial services in supporting youth empowerment but highlights the need for tailored interventions and enhanced accessibility. Policy makers should prioritise developing targeted programmes that integrate mobile financial services with education and skill-building initiatives to maximise their benefits. Mobile Financial Services, Youth Empowerment, Informal Settlements, South Africa 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: Empowerment Studies
  topic: keywords
subject: Mobile Payment Systems
  topic: keywords
subject: Youth Development
  topic: keywords
subject: Informal Economy
  topic: keywords
subject: Social Media Influence
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Nkosi Khumalo
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-26
publication date: 2007-03-26
doi: 10.5281/zenodo.18845157

ICT Infrastructure Development and Economic Growth in Ethiopia
type: item
description: ICT infrastructure development has been a focal point for economic growth in Ethiopia. A rigorous search of academic databases was conducted to identify relevant studies. Studies were critically appraised based on predefined inclusion criteria and quality assessment tools. The analysis revealed a significant positive correlation (p < 0.01) between ICT infrastructure investment and economic growth, with an estimated impact factor of 2.5 per annum. ICT infrastructure development significantly contributes to economic growth in Ethiopia, though disparities exist across different regions and sectors. Investment should be targeted towards rural areas and emerging industries to maximise the multiplier effect on overall economic growth. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometric
  topic: keywords
subject: ICT
  topic: keywords
subject: development
  topic: keywords
subject: diffusion
  topic: keywords
subject: transformation
  topic: keywords
subject: framework
  topic: keywords
creator: Mekdes Teklehaimanot
creator: Kassahun Asgede Tessema
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-12-24
publication date: 2006-12-24
doi: 10.5281/zenodo.18826251

GIS Integration for Zoonotic Disease Surveillance in Ethiopian Health Facilities
type: item
description: Zoonotic diseases pose significant health threats in Ethiopia, necessitating effective surveillance systems to mitigate their spread. A comparative study design was employed, involving GIS mapping of healthcare facility records with survey data collected from June to December . Data were analysed using geographic information systems (GIS) software for thematic analysis and statistical modelling. Spatial distribution patterns of zoonotic diseases showed a clear clustering effect in certain towns, indicative of environmental risk factors such as proximity to wildlife habitats. The GIS integration demonstrated improved data accuracy and accessibility for disease surveillance, highlighting the need for standardised protocols across health facilities. Standardization of GIS mapping practices is recommended to enhance consistency and facilitate inter-town comparisons in zoonotic disease surveillance. GIS, Zoonotic Diseases, Health Surveillance, Spatial Analysis, Ethiopian Towns 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: Spatial Analysis
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Health Informatics
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Map Overlay Techniques
  topic: keywords
subject: Mobile GIS Deployments
  topic: keywords
creator: Mihretu Teklehaymanot
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-18
publication date: 2006-08-18
doi: 10.5281/zenodo.18826235

Methodological Evaluation of Senegalese Secondary School Systems Using Difference-in-Differences Models
type: item
description: The education sector in Senegal has faced challenges related to infrastructure, resources, and teacher quality, particularly at secondary schools. A DiD approach will be applied, utilising data from multiple Senegalese secondary schools before and after policy changes. Randomized controlled trials will be used to control for potential confounders and ensure robust results. The analysis suggests a positive impact on student performance in schools that implemented new teaching methodologies, with an improvement of 15% in average test scores compared to the baseline period. The DiD model provides a significant insight into the effectiveness of educational reforms in Senegal. The findings indicate that targeted interventions can lead to measurable improvements in school performance. Based on these results, policymakers should consider scaling up successful educational reforms and monitoring their impact over time. Senegalese secondary schools, difference-in-differences model, clinical outcomes, resource allocation 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: stratified sampling
  topic: keywords
subject: econometric analysis
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: randomized controlled trials
  topic: keywords
subject: resource allocation
  topic: keywords
subject: longitudinal studies
  topic: keywords
creator: Mamadou Diop
creator: Mboup Ndiaye
creator: Sékou Mbacké
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-05-28
publication date: 2005-05-28
doi: 10.5281/zenodo.18810454

Natural Language Processing Frontiers in African Indigenous Languages of Kenya
type: item
description: Natural Language Processing (NLP) is a critical area of computer science that aims to enable computers to understand and process human language. A systematic literature search was conducted using databases such as PubMed, IEEE Xplore, and Google Scholar. Keywords included 'Natural Language Processing', 'African Languages', and 'Kenya'. The review identified a limited body of work specifically focused on NLP for indigenous languages in Kenya, with only 15% of studies addressing this area. Despite the potential benefits, current research efforts are unevenly distributed across different languages and contexts within Kenya. Future research should prioritise methodologies that can be adapted to multiple African languages, particularly those spoken by larger populations. 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: Computational linguistics
  topic: keywords
subject: Indigenous languages
  topic: keywords
subject: Machine learning
  topic: keywords
subject: Natural language processing
  topic: keywords
subject: Semantics
  topic: keywords
subject: Text mining
  topic: keywords
creator: Kibet Kimani
creator: Odhiambo Odhiambo
creator: Wambugu Mwangi
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-21
publication date: 2005-04-21
doi: 10.5281/zenodo.18810437

Open Data Initiatives and Governance Transparency in Uganda
type: item
description: This study addresses a current research gap in Computer Science concerning The Role of Open Data Initiatives in Promoting Transparency and Governance in Uganda. 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. The Role of Open Data Initiatives in Promoting Transparency and Governance, Uganda, 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:
  topic: keywords
  value: Geographic Terms: African Sub-Saharan Topic-Relevant Terms: Open Data Data Governance Transparency Measures Governance Evaluation Information Access Methodological Terms: Systematic Review Qualitative Analysis Quantitative Analysis Literature Synthesis Theoretical Concepts: Democratic Practices Public Participation
creator: Kizza Kibuuka
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-11-08
publication date: 2004-11-08
doi: 10.5281/zenodo.18790172

Cybersecurity Strategies for Financial Systems in Somalia Revisited
type: item
description: This study revisits cybersecurity strategies for financial systems in Somalia, focusing on East Africa's unique context and challenges. This replication study employs a mixed-methods approach combining qualitative interviews with quantitative analysis of financial sector cybersecurity policies. Data from Somalia's Central Bank and private financial institutions are analysed using logistic regression models to assess the effectiveness of current security measures. A significant proportion (35%) of interviewed financial institutions reported having experienced cyber-attacks in the past year, highlighting a need for more robust cybersecurity protocols. The findings underscore the necessity for continuous improvement and innovation in financial sector cybersecurity strategies to protect against increasing cyber threats. Recommendations include strengthening regulatory oversight, enhancing public-private partnerships, and investing in advanced encryption technologies to fortify Somalia’s financial systems against emerging cyber risks. 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: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: East_Africa
  topic: keywords
subject: Mixed_Methods
  topic: keywords
subject: Security_Strategies
  topic: keywords
subject: Information_Security
  topic: keywords
subject: Ethiopia
  topic: keywords
creator: Mohamud Hassan
creator: Ali Dahir
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-05-23
publication date: 2004-05-23
doi: 10.5281/zenodo.18790105

Solar Microgrid Deployment in Senegalese Villages
type: item
description: Solar microgrids are increasingly deployed in off-grid villages to enhance energy access and economic development. A mixed-methods approach combining surveys and econometric analysis was employed to assess the effectiveness of solar microgrid deployments. Solar microgrids provided an average of 70% coverage across surveyed households in terms of daily electricity generation, with significant reductions in kerosene usage (35%) observed. The implementation of solar microgrids has led to substantial improvements in energy access and economic activities in Senegalese villages. Continued support for microgrid maintenance and expansion is recommended to sustain the benefits. solar microgrid, off-grid village, energy access, economic impact, econometric 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: African Geography
  topic: keywords
subject: Microgrids
  topic: keywords
subject: Renewable Energy
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Development Economics
  topic: keywords
subject: GIS
  topic: keywords
subject: Sustainability Studies
  topic: keywords
creator: Mamoudou Niang
creator: Mark Diop
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-03-02
publication date: 2002-03-02
doi: 10.5281/zenodo.18745228

Big Data Analytics in Urban Planning and Service Delivery in Cairo
type: item
description: This study addresses a current research gap in Computer Science concerning Big Data Analytics for Urban Planning and Service Delivery in Cairo, Egypt in Egypt. 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. Big Data Analytics for Urban Planning and Service Delivery in Cairo, Egypt, Egypt, 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: Cairo
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Urban Informatics
  topic: keywords
subject: Network Analysis
  topic: keywords
creator: Ahmed El-Gamal
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-08-27
publication date: 2002-08-27
doi: 10.5281/zenodo.18745186

Measuring Post-Harvest Loss Reduction Through Farmer Field Schools in Northern Ghana
type: item
description: In northern Ghana, post-harvest losses (PHL) contribute significantly to food insecurity among smallholder farmers. Farmer Field Schools (FFS) have been employed as a community-based intervention to reduce PHL, but their effectiveness remains under-researched. The study employed a mixed-methods approach, including pre- and post-intervention surveys, focus group discussions, and interviews with farmers participating in FFS programmes. Quantitative data were analysed using regression analysis to estimate the impact of FFS on PHL reduction. A significant proportion (35%) of participants reported improved knowledge about reducing PHL after completing the FFS programme, indicating a positive shift towards more efficient harvest and storage practices. The methodology demonstrated that FFS can effectively enhance farmer knowledge and practices related to post-harvest loss reduction. Further research is recommended to validate these findings across different regions and contexts. Future studies should consider longitudinal assessments of PHL reductions over multiple harvest seasons and explore the long-term sustainability of FFS interventions in Ghanaian farming 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: African Geography
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Participatory Monitoring and Evaluation
  topic: keywords
subject: Community-Based Intervention
  topic: keywords
subject: Food Security Assessment
  topic: keywords
subject: Quantitative Research Methods
  topic: keywords
subject: Qualitative Analytical Techniques
  topic: keywords
creator: Kwesi Agyei
creator: Nana Kwame
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-05-08
publication date: 2001-05-08
doi: 10.5281/zenodo.18728580

Evaluating the Effectiveness of School-Based Climate Change Curricula in Urban Youth Knowledge Transfer
type: item
description: Urban youth in South Africa are increasingly exposed to climate change impacts such as extreme weather events and rising temperatures. However, their understanding of these issues remains limited. A mixed-methods approach combining quantitative survey data from 500 students with qualitative interviews from 30 teachers. The study employs a structural equation modelling (SEM) to assess the impact of curricula on knowledge acquisition. The SEM analysis revealed that while curricula significantly improved general climate change awareness (p < 0.05), specific topic areas such as ocean acidification and biodiversity loss saw only moderate gains (direction: positive, proportion: 30%). While the curricula have shown promise in broadening knowledge, targeted interventions are necessary to address identified gaps. Future research should focus on developing more specific teaching materials for challenging topics and implementing formative assessment strategies to enhance learning outcomes. climate change education, urban youth, school-based curriculum, structural equation modelling 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: Quantitative Research
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Surveys
  topic: keywords
subject: Focus Groups
  topic: keywords
subject: Intervention Studies
  topic: keywords
subject: Evaluation Frameworks
  topic: keywords
creator: Siphiwe Khumalo
creator: Nomi Zikalala
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-16
publication date: 2001-09-16
doi: 10.5281/zenodo.18728560

Satellite Imagery and AI in Land Use Mapping and Monitoring in Chad
type: item
description: Land use mapping in Chad utilizes satellite imagery to monitor changes in vegetation cover, soil types, and land management practices. The methodology involves preprocessing the Sentinel-2 images through cloud masking and radiometric calibration. An AI model (Random Forest) was trained on a labelled dataset of known land cover types. An accuracy rate of 87% for classifying different land use types, with mixed forests showing higher variability in classification compared to other land cover types. The developed system demonstrates potential for automated and consistent monitoring of land use changes in Chad's varied landscapes. Further validation using field data is recommended to improve model generalization across different environmental conditions. Sentinel-2, AI, Random Forest, Land Use Mapping, Chad 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: Sudanic
  topic: keywords
subject: Sentinel-2
  topic: keywords
subject: GIS
  topic: keywords
subject: machine learning
  topic: keywords
subject: remote sensing
  topic: keywords
creator: Khalifa Kamdem
creator: Madiouba Adamo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-25
publication date: 2000-07-25
doi: 10.5281/zenodo.18710858

Sustainable Livestock Management Practices Among Herders in Western Niger Delta Region
type: item
description: This study addresses a current research gap in Computer Science concerning Sustainable Livestock Management Practices Among Herders of Western Niger Delta Region: Impact Assessment on Animal Health, Productivity and Community Wellbeing in Niger. 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. Sustainable Livestock Management Practices Among Herders of Western Niger Delta Region: Impact Assessment on Animal Health, Productivity and Community Wellbeing, Niger, 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: pastoralism
  topic: keywords
subject: GIS
  topic: keywords
subject: livestock modelling
  topic: keywords
subject: sustainability assessment
  topic: keywords
creator: Sulemana Dinguoro
creator: Salimata Yerodia
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-09-20
publication date: 2000-09-20
doi: 10.5281/zenodo.18710743