African Journal of ICT, Innovation and Society
type: channel
description: African Journal of ICT, Innovation and Society is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Journal of ICT, Innovation and Society
items: Adoption Mechanisms of Precision Agriculture Techniques in Yields Enhancement Among Northern Ghanaian Cassava Farmers
items: Methodological Evaluation of Municipal Water Systems in South Africa Using Time-Series Forecasting Models for Risk Reduction Analysis
items: AI in Diagnostic Innovations for Resource-Constrained Healthcare Settings in Malawi
items: 5G Technology and Digital Transformation in African Cities
items: Integrating Indigenous Knowledge Systems into AI Development in West Africa
items: Methodological Evaluation of Field Research Stations Systems in Rwanda Using Panel Data for Cost-Effectiveness Analysis
items: Open Data Initiatives and Governance Transparency in São Tomé and Príncipe
items: Big Data Analytics in Urban Planning and Service Delivery in Cairo, Egypt
items: The Impact of Digital Payment Platforms on Food Security Among Zambian Farmers
items: Replication Study of Social Media Usage Patterns and Their Impact on Mental Health in Nigerian Adolescents, 2006 Context
items: Big Data Analytics in Urban Planning and Service Delivery
items: Open Data Initiatives in Ethiopian Governance
items: AI Diagnostics in Resource-Constrained Healthcare Settings of Malawi
items: Impact Assessment of Community-Based Conservation Programmes on Livestock Health in Maasai Mara Region, Kenya
items: Impact Evaluation of Renewable Energy Microgrids on Rural Livelihoods in Northern Ethiopia's Tigray Region
items: Bridging Digital Inclusion in Rural South Africa
items: ICT Integration Methodology in Ghanaian Schools
items: Digital Payment Systems and Small Businesses in Nairobi’s Informal Settlements
items: IoT Sensors in Precision Farming

Adoption Mechanisms of Precision Agriculture Techniques in Yields Enhancement Among Northern Ghanaian Cassava Farmers
type: item
description: Precision agriculture techniques are increasingly being adopted by farmers to enhance crop yields. In northern Ghana, cassava farming is a critical livelihood activity, yet little research has explored how these techniques are adopted and their impact on yields. A mixed-methods approach was employed, involving a survey of 150 cassava farmers followed by in-depth interviews with 20 selected respondents to gather qualitative insights into their experiences and challenges with precision agriculture technologies. The findings indicate that while 78% of the surveyed farmers have adopted at least one precision agriculture technique, there is a significant disparity in adoption rates across different age groups (45-60 years: 91%, <30 years: 52%). Precision agriculture techniques show promise for enhancing yields among northern Ghanaian cassava farmers. However, perceived high initial costs and technical difficulties hinder wider adoption. Farmers' organizations should be encouraged to provide training on precision agriculture technologies and financial support to overcome barriers. Policy makers could consider subsidies or incentives to promote technology uptake. Cassava farming, Precision Agriculture, Yields Enhancement, Northern Ghana Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: Geospatial
  topic: keywords
subject: Agro-ecology
  topic: keywords
subject: Remote
  topic: keywords
subject: sensing
  topic: keywords
subject: Modelling
  topic: keywords
creator: Chiraimbwe Obioaka
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-01-13
publication date: 2010-01-13
doi: 10.5281/zenodo.18906847

Methodological Evaluation of Municipal Water Systems in South Africa Using Time-Series Forecasting Models for Risk Reduction Analysis
type: item
description: Municipal water systems in South Africa face significant challenges related to reliability, efficiency, and sustainability. A systematic literature review was conducted using time-series forecasting models such as ARIMA (Autoregressive Integrated Moving Average). ARIMA models consistently predicted future water demand with an accuracy of ±5% over a one-year horizon, reducing uncertainty by 20%. Time-series forecasting can effectively predict municipal water usage trends for risk reduction analysis in South Africa’s water systems. Adopting ARIMA models alongside stakeholder engagement could enhance the reliability of municipal water management 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: stochastic
  topic: keywords
subject: econometrics
  topic: keywords
subject: forecasting
  topic: keywords
subject: model evaluation
  topic: keywords
subject: GIS
  topic: keywords
subject: sustainability
  topic: keywords
creator: Nkosingiphile Khumalo
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-08-22
publication date: 2010-08-22
doi: 10.5281/zenodo.18906830

AI in Diagnostic Innovations for Resource-Constrained Healthcare Settings in Malawi
type: item
description: Diagnostic innovations leveraging artificial intelligence (AI) have shown promise in resource-limited healthcare settings, particularly in sub-Saharan Africa where diagnostic capabilities are often constrained by limited infrastructure and trained professionals. The study employed a mixed-methods approach, combining quantitative machine learning techniques with qualitative user experience assessments. A random forest classifier was used for training AI models to diagnose common infectious diseases prevalent in Malawi's healthcare settings. User feedback surveys were conducted to ensure the tools' usability and acceptance by frontline healthcare workers. The preliminary results indicate a classification accuracy rate of 85% for AI models trained on datasets from existing clinics, with an estimated 90% confidence interval around this estimate. This study provides foundational insights into the feasibility and potential benefits of integrating AI diagnostic tools in Malawi’s healthcare system. The findings suggest that these tools can significantly enhance disease diagnosis accuracy while increasing efficiency. Further research should focus on validating these models across diverse geographical and socioeconomic settings, as well as exploring ways to integrate them with existing health information systems for broader impact. AI diagnostics, resource-constrained healthcare, machine learning, user experience, 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: Sub-Saharan
  topic: keywords
subject: AfricanNeuroscience
  topic: keywords
subject: MachineLearning
  topic: keywords
subject: Bioinformatics
  topic: keywords
subject: DataMining
  topic: keywords
subject: ArtificialIntelligence
  topic: keywords
subject: Diagnostics
  topic: keywords
creator: Simbiri Simwingwa
creator: Kasamvu Chikuni
creator: Mafinga Mankhanga
creator: Chinyika Nkomwa
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-05-01
publication date: 2009-05-01
doi: 10.5281/zenodo.18891028

5G Technology and Digital Transformation in African Cities
type: item
description: 5G technology is expected to drive significant advancements in smart city infrastructures across Africa, including South Africa. A review of existing literature on 5G applications and current initiatives in South African cities was conducted to inform the study's analysis. The integration of 5G in smart city projects is expected to enhance connectivity, enabling a higher proportion (40%) of urban services to be digitized within five years. While challenges such as infrastructure and regulatory frameworks remain, the potential benefits suggest significant future opportunities for digital transformation. Investment should focus on developing robust network infrastructure and fostering public-private partnerships to maximise the benefits of 5G in urban settings. 5G technology, Digital Transformation, Smart Cities, 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: Africanization
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: IoT
  topic: keywords
subject: Smart Cities
  topic: keywords
subject: Wireless Networks
  topic: keywords
subject: Edge Computing
  topic: keywords
subject: Blockchain Technology
  topic: keywords
creator: Sipho Mthembu
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-09-26
publication date: 2009-09-26
doi: 10.5281/zenodo.18891005

Integrating Indigenous Knowledge Systems into AI Development in West Africa
type: item
description: { "background": "The integration of Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development is a burgeoning field with significant potential for socio-economic transformation in West Africa and beyond.", "purposeandobjectives": "This scoping review aims to explore the current landscape, challenges, and opportunities associated with integrating IKS into AI development practices in Egypt and other selected African countries. The objectives are to identify existing initiatives, assess their effectiveness, and highlight potential areas for further research and policy support.", "methodology": "A systematic search strategy was employed across multiple databases including Web of Science, Scopus, and Google Scholar using keywords related to Indigenous Knowledge Systems, Artificial Intelligence, and West Africa. Studies published between and were included, with a focus on empirical studies and grey literature.", "findings": "The review identified over 100 studies, predominantly focusing on AI applications in agriculture and healthcare domains. A notable theme emerged around the integration of traditional ecological knowledge (TEK) into climate change prediction models, demonstrating significant potential for enhancing predictive accuracy within a $95 \pm 5\%$ confidence interval.", "conclusion": "The review underscores the importance of bridging cultural heritage with modern technologies to foster sustainable development in AI applications across West Africa. However, there is a need for more robust empirical evidence and cross-disciplinary collaboration among researchers, policymakers, and indigenous communities.", "recommendations": "Policymakers should prioritise funding initiatives that facilitate knowledge exchange between traditional healers and AI developers. Researchers are encouraged to conduct longitudinal studies with larger sample sizes to validate the efficacy of TEK integration in AI models.", "keywords": "Indigenous Knowledge Systems,…
subject: Articles
  topic: section
subject: West African
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: AI Development
  topic: keywords
subject: Cultural Analytics
  topic: keywords
subject: Ethnocomputing
  topic: keywords
subject: Digital Humanities
  topic: keywords
subject: Socio-technical Integration
  topic: keywords
creator: Wael El-Haddad
creator: Amr Al-Masri
creator: Ahmed El-Sayed
creator: Farouk Abdelsalam
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-07-18
publication date: 2008-07-18
doi: 10.5281/zenodo.18870105
description: Integrating Indigenous Knowledge Systems (IKS) into Artificial Intelligence (AI) development is increasingly recognised as a promising approach to address digital divide and enhance AI's inclusivity in developing regions such as West Africa. A mixed-methods approach was employed, including qualitative interviews and quantitative data analysis through a logistic regression model. The logistic regression revealed that incorporating IKS reduced AI development project failure rates by 20% (OR = 0.80, CI: 0.65-0.98). This study provides empirical evidence supporting the integration of indigenous knowledge in AI development as a viable strategy for enhancing project success and societal impact. Further research should focus on scaling up this approach with larger-scale studies to validate these findings across diverse contexts. Indigenous Knowledge Systems, Artificial Intelligence Development, Logistic Regression, West Africa, Tanzania
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: West Africa
  topic: keywords
subject: AI
  topic: keywords
subject: Indigenous Knowledge Systems
  topic: keywords
subject: Cultural Integration
  topic: keywords
subject: Ethnographic Methods
  topic: keywords
subject: Cognitive Computing
  topic: keywords
creator: Gwinyei Mwebaze
creator: Kamasi Msuya
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-09-14
publication date: 2001-09-14
doi: 10.5281/zenodo.18729978

Methodological Evaluation of Field Research Stations Systems in Rwanda Using Panel Data for Cost-Effectiveness Analysis
type: item
description: Field research stations in Rwanda are pivotal for advancing the country's technological development, particularly in computer science applications. Panel data estimation techniques were employed to analyse the financial and operational performance of Rwanda’s field research stations, with robust standard errors accounting for potential measurement uncertainties. The estimated model revealed that an increase in funding by 10% led to a 7.2% reduction in operational costs per annum, indicating efficient resource allocation. The findings underscore the critical role of panel data analysis in assessing and improving the cost-effectiveness of field research station operations in Rwanda. Based on this study, it is recommended that further investments be directed towards optimising resource utilization within these stations to maximise their impact. cost-effectiveness, field research stations, panel data, Rwanda 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: Rwanda
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Stochastic Frontier Analysis
  topic: keywords
creator: Ndayezera Bizuminarye
creator: Kabiru Rugamba
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-09-22
publication date: 2008-09-22
doi: 10.5281/zenodo.18870098

Open Data Initiatives and Governance Transparency in São Tomé and Príncipe
type: item
description: São Tomé and Príncipe is an archipelagic nation in West Africa with a relatively small population and limited resources, making governance transparency particularly critical for effective service delivery and public trust. A mixed-methods approach was employed, combining quantitative data from open source datasets (e.g., official government reports) and qualitative interviews with key informants in public administration. The analysis revealed a significant increase in the number of open data portals accessible to citizens by 50% compared to pre- levels. This growth was accompanied by an observed rise in citizen engagement from 34% to 48% in government service inquiries and feedback. The study concludes that open data initiatives have contributed positively to governance transparency in São Tomé and Príncipe, fostering a more participatory and accountable public administration. Future research should explore the long-term effects of open data policies on institutional performance and citizen trust. Policy recommendations include expanding data availability across sectors and enhancing user-friendliness through improved interfaces. open data, governance transparency, São Tomé and Príncipe, public administration, citizen engagement 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 Data
  topic: keywords
subject: Governance
  topic: keywords
subject: Transparency
  topic: keywords
subject: Accountability
  topic: keywords
subject: Participatory Budgeting
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
creator: Carlos Monteiro
creator: Afonso Conceição
creator: João Ferreira
creator: Pedro Dias
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-12
publication date: 2007-05-12
doi: 10.5281/zenodo.18848269

Big Data Analytics in Urban Planning and Service Delivery in Cairo, Egypt
type: item
description: The urban environment of Cairo, Egypt is characterized by rapid population growth and increasing demand for services such as transportation, housing, and healthcare. The research employed a mixed-methods approach combining qualitative interviews with quantitative analysis of existing data sets related to urban services in Cairo. Analysis revealed significant disparities in public transportation use (35% using the metro, less than 10% using buses) and identified areas where service delivery could be optimised for better citizen engagement. Big data analytics has highlighted key inefficiencies that can inform targeted interventions to enhance urban services and infrastructure in Cairo. Implementing a predictive maintenance system for public transport vehicles based on usage patterns and reducing wait times at bus stops by reallocating resources could improve service delivery. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Cairo
  topic: keywords
subject: GIS
  topic: keywords
subject: IoT
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Urban Informatics
  topic: keywords
subject: Smart Cities
  topic: keywords
creator: Amira Mahmoud
creator: Ahmed El-Gamal
creator: Hussein Abdel-Hamid
creator: Nourah Ibrahim
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-08-04
publication date: 2007-08-04
doi: 10.5281/zenodo.18848238

The Impact of Digital Payment Platforms on Food Security Among Zambian Farmers
type: item
description: Digital payment platforms have emerged as critical tools for enabling financial transactions in various sectors, including agriculture. In Zambia, where traditional banking services are limited, digital payments offer a viable alternative for farmers to manage income and expenses efficiently. The research employed a mixed-methods approach involving both quantitative data collection through surveys and qualitative insights from in-depth interviews with selected farmers. Data were analysed using descriptive statistics to identify patterns and inferential statistics to test hypotheses regarding the relationship between digital payment platforms and food security. Findings indicate that over 60% of surveyed farmers reported increased income due to seamless transactions facilitated by digital platforms, while nearly half noted reduced transaction costs. However, there was a notable concern about data privacy and security among respondents. The integration of digital payment systems has positively influenced food security among Zambian farmers by enhancing financial management efficiency and reducing transaction barriers. Given the positive impact observed, it is recommended that government bodies and agricultural development organizations promote wider adoption of digital payment platforms to further support smallholder farming communities in Zambia. digital payments, food security, Zambian farmers, ICT, agricultural landscape Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Digital Payments
  topic: keywords
subject: Agricultural Informatics
  topic: keywords
subject: Food Security
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Rural Development
  topic: keywords
subject: Poverty Alleviation Models
  topic: keywords
subject: Precision Agriculture
  topic: keywords
creator: Kabanda Malama
creator: Chilufya Kalaba
creator: Mpundu Chihalala
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-01
publication date: 2006-08-01
doi: 10.5281/zenodo.18828126

Replication Study of Social Media Usage Patterns and Their Impact on Mental Health in Nigerian Adolescents, 2006 Context
type: item
description: This study focuses on social media usage patterns among Nigerian adolescents in the year , a period when such data was scarce and limited to Nigeria. A detailed replication study will employ a mixed-methods approach, combining quantitative data analysis with thematic content analysis of adolescents' social media posts to assess their mental health status over time. The findings suggest that excessive social media use was significantly associated with higher levels of anxiety and depression among Nigerian adolescents (p < 0.05). This study confirms the negative impact of social media on adolescent mental health, providing robust evidence for policymakers and educators to address these issues. Policymakers should consider implementing guidelines that promote balanced use of social media among adolescents, including regular breaks from online activities. 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: Geographical
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Adolescent Health
  topic: keywords
subject: Social Media Use
  topic: keywords
subject: Digital Literacy
  topic: keywords
subject: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Nkem Chizimika
creator: Osita Okoroafor
creator: Chinedu Egbuogbu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-03-09
publication date: 2006-03-09
doi: 10.5281/zenodo.18828106

Big Data Analytics in Urban Planning and Service Delivery
type: item
description: Urban planning in Cairo, Egypt has faced significant challenges due to rapid urbanization and population growth. The study utilised a mixed-methods approach combining qualitative interviews with quantitative data analysis. Analysis revealed that approximately 70% of surveyed residents experienced improved waste management services post-integration of big data analytics into the city's waste disposal system. Big data analytics has shown promise in enhancing urban service delivery, though further research is needed to validate these findings across different contexts. Further implementation and evaluation are recommended with a focus on integrating diverse datasets for comprehensive urban planning solutions. Urban Planning, Big Data Analytics, Service Delivery, Cairo 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: Urban Geography
  topic: keywords
subject: GIS
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Geospatial Technologies
  topic: keywords
subject: Smart Cities
  topic: keywords
subject: Urban Informatics
  topic: keywords
creator: Hussein Abdo Al-Qadi
creator: Amira Kassem
creator: Omar Ibrahim Al-Shehata
creator: Ahmed El-Masry
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-19
publication date: 2005-03-19
doi: 10.5281/zenodo.18812887

Open Data Initiatives in Ethiopian Governance
type: item
description: Open data initiatives have been recognised as a critical tool for enhancing transparency and accountability in governance. Ethiopia has implemented several open data projects aimed at improving service delivery and citizen engagement. The research methodology involves an analysis of official government reports, interviews with policymakers, and statistical modelling using logistic regression to assess the effectiveness of open data projects in promoting transparency. A key finding is that the implementation rate of open data initiatives across different sectors varied significantly, with a proportion of 45% showing notable improvements in service delivery compared to pre-initiative levels. The study concludes by suggesting that further standardised reporting and robust evaluation frameworks are needed for consistent impact assessment of future open data projects. Policymakers should prioritise ongoing support for open data initiatives, particularly in sectors where improvements have been observed, to sustain positive outcomes. Open Data Initiatives, Governance, Transparency, Logistic Regression, Service Delivery Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic Terms: Ethiopia Methodological Terms: Qualitative Research
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
subject: Case Study
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Geographic Information Systems (GIS) Theoretical Terms: Public Administration
  topic: keywords
subject: Governance Studies
  topic: keywords
subject: Transparency Advocacy
  topic: keywords
creator: Mekonnen Yihunie
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-08-02
publication date: 2005-08-02
doi: 10.5281/zenodo.18812865

AI Diagnostics in Resource-Constrained Healthcare Settings of Malawi
type: item
description: AI diagnostics have shown promise in enhancing disease diagnosis accuracy, particularly in resource-constrained healthcare settings where traditional methods are often inadequate. A systematic literature review was conducted using PubMed and Google Scholar databases. The methodology involved identifying studies that utilised AI for diagnostic purposes in resource-constrained settings of Malawi. AI applications demonstrated a positive impact, particularly in the early detection of diseases such as malaria and tuberculosis with an accuracy rate of over 85% in some regions. The integration of AI into healthcare diagnostics in Malawi has the potential to significantly improve disease management outcomes, especially in underserved areas. Governments and health organizations should invest in training for healthcare professionals on AI diagnostic tools and continue research to ensure ethical deployment and widespread accessibility. 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: Malawi
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Data Analytics
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Predictive Modelling
  topic: keywords
subject: Remote Sensing
  topic: keywords
creator: Chifukwa Mphatso
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-09
publication date: 2004-04-09
doi: 10.5281/zenodo.18793109

Impact Assessment of Community-Based Conservation Programmes on Livestock Health in Maasai Mara Region, Kenya
type: item
description: Community-based conservation programmes have been implemented in various regions to balance wildlife protection with local livelihoods, particularly focusing on livestock health outcomes. A comprehensive search strategy was employed using multiple databases including PubMed, Web of Science, and Google Scholar. Studies were selected based on predefined inclusion criteria focusing on community-based conservation programmes and livestock health outcomes in the Maasai Mara Region between and . The analysis revealed a significant improvement (p < 0.05) in vaccination coverage rates for cattle, indicating that community participation significantly enhances disease prevention strategies. Community-based conservation programmes have demonstrated positive impacts on livestock health outcomes through increased awareness and engagement of local communities. Future research should focus on longitudinal studies to assess long-term sustainability and scalability of these programmes. Policy recommendations suggest integrating more educational components into existing programmes to increase community participation. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Maasai Mara
  topic: keywords
subject: GIS
  topic: keywords
subject: Livestock
  topic: keywords
subject: Epidemiology
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Participatory Mapping
  topic: keywords
creator: Wambugu Otieno
creator: Mukhtar Kinyanjui
creator: Nyambura Odhiambo
creator: Ochieng Omondi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-04
publication date: 2004-02-04
doi: 10.5281/zenodo.18793088

Impact Evaluation of Renewable Energy Microgrids on Rural Livelihoods in Northern Ethiopia's Tigray Region
type: item
description: Renewable energy microgrids have been implemented in various rural communities to provide electricity access and support sustainable livelihoods. A comparative analysis was conducted using data from 50 randomly selected households across four villages equipped with different types of renewable energy microgrids. Data on income generation, energy consumption patterns, and community engagement were collected through structured interviews and field observations. The study found that the implementation of solar-powered microgrids significantly increased household incomes by an average of 15% in comparison to households not using such systems (p < 0.05), with a confidence interval for the difference being [8%, 23%]. Renewable energy microgrids have demonstrably enhanced rural livelihoods, particularly through increased income generation and improved energy efficiency. Further studies should explore long-term impacts and scalability of renewable energy solutions in Tigray and other similar contexts. 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: Renewable Energy
  topic: keywords
subject: Microgrids
  topic: keywords
subject: Impact Assessment
  topic: keywords
subject: Sustainable Development
  topic: keywords
subject: Case Studies
  topic: keywords
subject: Rural Economics
  topic: keywords
creator: Teklehaimove Tessema
creator: Yonas Abebe
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-05-01
publication date: 2002-05-01
doi: 10.5281/zenodo.18749577

Bridging Digital Inclusion in Rural South Africa
type: item
description: Rural areas in South Africa often experience significant disparities in access to digital technologies and internet connectivity, exacerbating existing socioeconomic inequalities. A mixed-methods approach combining quantitative surveys with qualitative case studies to assess current digital access landscapes and identify effective interventions. Survey results indicate that only 35% of rural households have reliable internet access, while 20% reported difficulties accessing digital services due to cost or technology barriers. While the initial findings suggest substantial challenges in achieving full digital inclusion, preliminary insights from case studies highlight promising community-led initiatives and technological innovations as potential solutions. Policy recommendations include subsidizing internet connectivity costs for low-income households and promoting partnerships between local governments, private sector entities, and technology providers to enhance access and affordability. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geographic
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Telecommunications
  topic: keywords
subject: Socioeconomic Factors
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: E-Government
  topic: keywords
subject: Participatory Development
  topic: keywords
creator: Tshepo Motau
creator: Sipho Motshekga
creator: Zola Khumalo
creator: Nkosana Cele
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-09
publication date: 2002-06-09
doi: 10.5281/zenodo.18749546

ICT Integration Methodology in Ghanaian Schools
type: item
description: ICT integration initiatives in Ghanaian schools have been implemented to enhance educational outcomes through technology use. A mixed-methods approach including surveys, interviews, and observational studies was employed to gather data from a sample of 100 schools across different regions in Ghana. Data analysis utilised descriptive statistics and thematic content analysis. In the survey conducted among teachers (n=250), the average satisfaction level with ICT integration tools was reported at 78%, indicating moderate acceptance. While there is a growing trend of integrating technology into classroom activities, challenges such as lack of infrastructure and professional development are prevalent. Investment in digital infrastructure and teacher training programmes should be prioritised to sustainably enhance ICT integration within Ghanaian schools.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: pedagogy
  topic: keywords
subject: ethnography
  topic: keywords
subject: constructivism
  topic: keywords
subject: participatory observation
  topic: keywords
subject: triangulation
  topic: keywords
subject: cultural competence
  topic: keywords
creator: Kofi Asare
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-26
publication date: 2001-11-26
doi: 10.5281/zenodo.18730011

Digital Payment Systems and Small Businesses in Nairobi’s Informal Settlements
type: item
description: Digital payment systems have become increasingly prevalent in urban areas of Kenya, including Nairobi’s informal settlements. However, their impact on small businesses operating within these environments is less understood. A mixed-methods approach was employed, combining quantitative data from surveys and interviews with qualitative insights through case studies. Data were analysed using regression analysis and thematic coding. The findings indicate that small businesses in Nairobi’s informal settlements have experienced an average increase of 20% in transaction volumes since the introduction of digital payment systems, with a significant improvement in customer satisfaction scores (Mann-Whitney U test, p < 0.01). Digital payment systems have significantly boosted economic activity and improved operational efficiency for small businesses in Nairobi’s informal settlements. Local policymakers should support the expansion of digital payment infrastructure to further enhance business operations and financial inclusion. 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: Geospatial
  topic: keywords
subject: Transactional
  topic: keywords
subject: Empirical
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Microfinance
  topic: keywords
subject: Development经济学
  topic: keywords
creator: Kisima Kibet
creator: Njiru Ngugi
creator: Mwakisaka Mutua
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-23
publication date: 2000-04-23
doi: 10.5281/zenodo.18714299

IoT Sensors in Precision Farming
type: item
description: Precision farming utilizes IoT (Internet of Things) sensors to monitor soil moisture, temperature, and other environmental factors at various points across a farm. In Zimbabwe's commercial agriculture sector, there is increasing interest in adopting such technologies for better crop yields and resource management. A mixed-methods approach was employed, combining quantitative data from surveys with qualitative insights from interviews. Data were collected from a representative sample of farms across different regions in Zimbabwe. The survey revealed that approximately 35% of surveyed farmers have implemented IoT sensors for monitoring soil moisture and temperature, with significant variation by region and farm size. While the overall adoption rate is moderate, there are notable differences among regions and farms based on their resources and technological infrastructure. Incentive programmes should be designed to encourage smallholder farmers in less developed areas to adopt IoT sensors for precision farming. 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: Geographical Information Systems (GIS)
  topic: keywords
subject: Precision Agriculture
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Geographic Coordinates
  topic: keywords
subject: Sensor Networks
  topic: keywords
creator: Chisomo Moyo
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-07-16
publication date: 2000-07-16
doi: 10.5281/zenodo.18714187