The AHEAD (Agriculture, Healthcare, Environment, Assistive Technologies in Education, and Digital Public Infrastructure) Innovation Hub is a multidisciplinary research and innovation center within the School of Computing and Engineering Sciences (SCES), Strathmore University. The hub seeks to address critical developmental challenges faced in Africa by fostering cutting-edge research, nurturing talent, and developing contextually relevant digital solutions.
To be a leading African hub for transformative research and innovation, driving sustainable development and empowering the underserved communities in Africa through context-aware/specific digital solutions.
To cultivate a vibrant multidisciplinary ecosystem that:
∙ Conducts high-impact digital development research in Agriculture, Healthcare, Environment, Assistive Technologies in Education, and Digital Public Infrastructure. ∙ Develops and deploys frugal, user-centered, and AI-driven solutions to address pressing African challenges.
∙ Empowers graduate and postgraduate students with cutting-edge skills and a deep understanding of development contexts.
∙ Forges strategic partnerships with academia, industry, government, and underserved communities to foster innovation and ensure positive community real-world impact.
It develops ICT solutions for precision farming, climate resilience, supply chains, and food security.
It innovates in mobile health, telemedicine, diagnostics, and affordable devices to enhance healthcare access.
It creates inclusive digital learning tools and personalized platforms to support diverse learners and improve education quality.
It leverages technology for environmental monitoring, climate change adaptation, waste and resource management, and renewable energy.
It develops core components like digital identity, interoperable payments, and secure data exchange systems to drive cross-sector digital transformation.
Applying information systems (IS) and information communication technologies to address socio economic development challenges, focusing on context, sustainability, and impact.
Designing high-value digital solutions with limited resources, emphasizing affordability, sustainability, adaptability, and simplicity to meet the needs of underserved populations.
Employing participatory design methodologies to ensure that solutions are intuitive, relevant, and effectively address the needs and preferences of the target users.
Harnessing AI and machine learning for data analysis, predictive modeling, automation, and intelligent decision support across the thematic areas, with a strong emphasis on ethical AI.
The hub seeks to produce the following outputs
Peer-reviewed journal articles, conference papers, books/book chapters, technical reports, social media platforms
Educational and Training Materials, student project supervision, stakeholder workshops, and webinars
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Prototypes, patents, datasets, software tools, models and simulations
Data visualizations, dashboards, metadata catalogs, statistical analysis reports, machine learning models or algorithms
Policy briefs, position papers, regulatory guidelines, consultation reports for governments or NGOs, expert testimony
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Project |
Aim |
Leads |
Sponsor |
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The Kenyan Neonatal Mortality Risk Predictor: A User-Centered Evaluation |
Evaluating usability of a LMIC ML model to screen neonatal risk in Kenya using UCD to achieve SDG 3.2 |
Dr. Danny Nyatuka and Dr. Rahman Jabin |
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A Chatbot to Enhance Adolescent Mental Health Wellness in Kenya |
Improving Kenyan adolescent mental health via co-designed, culturally relevant social media based digital intervention, Dəˈskəs. |
Dr. Paul Macharia |
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Feasibility study for Solar-Powered Health Solution (Bright Health) |
Feasibility study for Bright Health: energy-efficient digital tools improving healthcare in marginalized LMIC communities |
Mr Pazion T. Cherinet and Dr. Danny Nyatuka |