AI R&D
AI Prototype & Proof of Concept
Frame, build and test an AI proof of concept before committing to full implementation.
Explore full details →Home / Research & Development
Applied Research · Prototyping · Innovation
Turn uncertain technology ideas into testable evidence.
Data Science Malta can support applied research, technical feasibility, prototyping, experimentation, evaluation and collaborative innovation across AI, data, automation, software and educational technology.
R&D capability areas.
Each route below now has a dedicated page explaining the research question, method, outputs and collaboration model.
DATA R&D
Data Analytics & Decision Prototype
Investigate whether data can support a proposed analytical, forecasting or decision-support capability.
Explore full details →AUTOMATION
Automation & Workflow Prototype
Prototype software or AI-assisted workflows and test whether automation creates measurable operational value.
Explore full details →EDTECH
Educational Technology R&D
Design and evaluate digital learning tools, learning workflows, assessment concepts and AI-supported education prototypes.
Explore full details →FEASIBILITY
Applied Research & Feasibility Study
Structured investigation of technical uncertainty, requirements, alternatives, evidence and feasibility before development.
Explore full details →COLLABORATION
R&D Consortium & EU Project Collaboration
Technical and educational-technology contribution to suitable research, innovation and European collaborative projects.
Explore full details →AI ASSURANCE
Responsible AI Evaluation Lab
Evaluate AI workflows for quality, limitations, human oversight, transparency, risk and operational controls.
Explore full details →PRODUCT R&D
Digital Product Experimentation
Rapidly test product hypotheses, interfaces, workflows and technical approaches before larger investment.
Explore full details →R&D CAPABILITY
Research Training & Capacity Building
Build internal capability in experimental design, data practice, technical evaluation, documentation and applied innovation.
Explore full details →R&D IS NOT JUST DEVELOPMENT
We distinguish experimentation from routine implementation.
Where a project is presented as R&D, the work should involve genuine uncertainty, investigation, testing or knowledge creation—not merely configuring an already-known solution. This distinction is particularly important where public R&D support may be considered.
Possible collaborators.
Enterprises
Technical feasibility, prototypes, data/AI experimentation and innovation roadmaps.
Education & training organisations
EdTech, learning analytics, AI-assisted learning and digital-learning experimentation.
Research & EU consortia
Applied technical contribution, pilots, capacity building, dissemination and technology-learning work packages.
DETAILED ENQUIRY
Research & Development enquiry
Provide the operational detail below so Data Science Malta can assess scope, delivery requirements and the appropriate next step.
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