Data Science Malta maintains research and development capability for experimentation, prototyping, testing and collaborative innovation across AI, data, software, automation and educational technology.
Our R&D work is designed around applied problems. We can investigate a technical or educational challenge, define a workable experiment, build an initial proof of concept, test assumptions, document findings and refine the solution with project partners or clients.
Our facilities and development environment support computer-based research, software and data experimentation, AI-assisted prototyping, digital learning development, technical demonstrations and collaborative project work. The exact tools, infrastructure and project setup are selected according to the requirements of each activity.
We examine the problem, users, data, technical constraints and intended outcome before development begins. This can include requirements analysis, technology comparison, risk identification and definition of a realistic proof-of-concept scope.
We can develop early-stage demonstrations that test whether an AI, data, software or automation concept is technically and operationally viable. A proof of concept is used to learn quickly before committing to a larger implementation.
We can structure experiments around prompts, model behaviour, classification, information extraction, analytics, data workflows and decision-support concepts, with attention to quality, limitations, privacy and human oversight.
We can create functional digital prototypes for testing workflows, interfaces, educational tools, dashboards, automation concepts and other technology-enabled services. Prototypes are designed for evaluation and iteration rather than presented as production systems unless separately agreed.
We can help define test scenarios, collect structured observations, assess usability or learning outcomes, identify failure points and document recommendations for the next development cycle.
Our R&D capability also covers new approaches to technology education: curriculum prototypes, practical labs, learning activities, assessment approaches, AI-supported learning concepts and programmes for different learner groups.
We can contribute R&D capability within collaborations involving universities, schools, VET organisations, SMEs, public bodies, NGOs, research organisations and technology partners. Our role can be focused on a defined technical task, pilot, learning component or work package.
Send us the problem, project stage, intended users, expected output and timeframe. We can then assess where our capability fits.
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