Data Science Malta is open to relevant European and internationally funded collaborations where our expertise in AI, data, digital skills, education, applied R&D and technology adoption can contribute to measurable project outcomes.
Our contribution can be shaped around the call and work plan rather than forcing a project into a fixed service package.
Technical and educational input across artificial intelligence, generative AI, machine learning, data science, analytics, business intelligence and automation. This can support research tasks, demonstrations, pilots, training and technology-adoption activities.
Design of structured curricula, workshops, short courses, learning pathways, trainer resources, learner materials, practical exercises and assessment activities for students, educators, VET learners, professionals, SMEs and workforce participants.
Exploratory research, feasibility work, proofs of concept, digital prototypes, AI/data experiments and educational-technology development. We can contribute to iterative development where a project needs to test an idea before scaling it.
Planning and delivery of pilot activities that test project methodologies, training resources or digital solutions with relevant users. We can collect structured feedback, identify practical issues and contribute evidence for refinement and reporting.
Capacity-building activities in AI literacy, data literacy, programming, analytics, digital tools, automation and emerging technologies, adapted for employees, educators, entrepreneurs, students and other target groups.
Practical learning and adoption support for SMEs exploring AI, data, automation and digital workflows. Activities can help participants identify suitable use cases, understand risks, build internal capability and move from awareness towards responsible experimentation.
Engagement activities with learners, educators, businesses, professionals and other communities, including workshops, feedback sessions, demonstrations and structured consultation designed around project objectives.
Translation of technical work into accessible learning and communication outputs such as workshops, explainers, demonstrations, articles, educational resources and stakeholder sessions that help project knowledge reach its intended audience.
Participation in consortium meetings, workshops, training activities, multiplier events, demonstrations and conferences in Malta or internationally, subject to the requirements, budget and arrangements of the project.
AI literacy, adoption, human oversight, responsible use, generative AI and applied experimentation.
Technology-enhanced learning, curricula, trainer development, practical digital skills and lifelong learning.
Data literacy, analytics, BI, digital transformation, workforce capability and evidence-informed decision making.
Technology adoption, entrepreneurship, digital workflows, prototypes and practical innovation support.
Send us the call, deadline, concept, consortium status and the role you are considering for Data Science Malta. The dedicated form captures the information we need for an initial review.
If you are an employer, organisation or individual exploring a subsidy or reimbursement scheme, send us the scheme name or link and the course you are considering. We can provide course information for your assessment, but eligibility and reimbursement decisions remain with the relevant funding body.
