AI Research Themes

Overview

At the SIMAD AI Institute, our research focuses on areas where Artificial Intelligence can deliver measurable public value and directly contribute to Somalia’s national development priorities.
Our AI Research Themes are strategically aligned with Somalia’s National Transformation Plan (NTP) 2025–2030, and are designed to address the country’s social, economic, and institutional challenges. We prioritize applied, ethical, and inclusive AI research that strengthens public systems, improves service delivery, and builds local
Through collaboration with academia, government institutions, industry, and development partners, we generate evidence-based insights that inform policy, strengthen institutions, and support sustainable innovation ecosystems.

Our Focus Area

AI for Digital Governance & Public Sector

We apply AI to strengthen public institutions by improving transparency, efficiency, and trust through data-driven governance. Our research supports responsible AI adoption that enhances public services and protects citizens’ digital rights — aligned with Somalia’s National Transformation Plan (2025–2030).

Key focus areas

  • AI-enabled e-government services
  • Decision-support systems
  • Digital identity
  • Civil registration analytics
  • Data governance
  • Institutional transparency
  • Responsible AI for the public sector

AI for Education & Development

We apply Artificial Intelligence to enhance learning, expand access to quality education, and build future-ready skills. Our research supports inclusive education systems that empower youth, reduce inequalities, and drive innovation in the digital economy.

Key focus areas

  • AI-powered learning and assessment systems
  • Educational data analytics and decision support
  • Digital skills, AI literacy
  • Workforce readiness
  • Technology-enabled access to education and training
  • Research and innovation capacity building

Somali Natural Language Processing (NLP)

We advance AI research in Somali language technologies to enable inclusive digital services, local content creation, and data-driven insights. Our work strengthens access to information and ensures AI systems understand Somalia’s linguistic and cultural con

Key focus areas

  • Somali language datasets and corpora development
  • Speech recognition and text-to-speech systems
  • Machine translation and information retrieval
  • Sentiment analysis, hate speech, and misinformation detection
  • NLP for education, governance, and public services

AI for Agriculture, Food Security & Climate Resilience

We develop an Artificial Intelligence to enhance agricultural productivity, strengthen food security, and support climate adaptation in Somalia. Our research develops data-driven tools that empower farmers and policymakers with real-time insights, improve resilience to climate shocks, reduce losses, and enable sustainable rural development.

Key focus areas

  • Crop monitoring and yield prediction
  • Climate-smart agriculture and drought early-warning systems
  • Food security analytics and market intelligence
  • Remote sensing for environmental and land-use monitoring
  • AI-driven advisory systems for farmers

AI for Public Health & Social Well-Being

Leveraging AI to strengthen health systems, improve disease surveillance, optimize resource allocation, and support data-driven decision-making in public health and social services. Our research enables hospitals, public health institutions, and humanitarian partners to make timely, data-driven decisions that improve population health and save lives.

Key focus areas

  • Health data analytics and predictive modeling
  • Disease surveillance and early-warning systems
  • AI-supported maternal, child, and community health
  • Social protection and vulnerability mapping
  • Health system planning and resource optimization

AI for Robotics & Automation

We advance Artificial Intelligence–driven robotics and automation systems to improve efficiency, safety, and productivity across key sectors. Our research focuses on intelligent machines that support industry, services, and infrastructure development through automation, sensing, and autonomous decision-making.

Key focus areas

  • Intelligent robotics and autonomous systems
  • Industrial and service automation
  • AI-powered sensors, control, and perception systems
  • Robotics for healthcare, logistics, and smart infrastructure
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