SMIT (Studies on Media, Innovation & Technology, VUB) is a leading SSH research center with extensive experience in Horizon Europe consortia. We specialize in human-centered design, trust and explainability in AI, stakeholder engagement, and the societal validation of digital technologies. Our expertise includes co-developing data-driven decision support systems (including digital twins) and designing data governance frameworks for complex AI-based systems. We ensure that innovation is not only technically sound, but also socially accepted, explainable, and impactful.
As a SSH research group SMIT is connected to the Vrije Universiteit Brussel (VUB) and IMEC and explores the intricate relationships between digital technology and society. SMIT investigates how innovation can foster inclusion, accessibility, and sustainability in media, governance, and healthcare systems. SMIT addresses key societal challenges, including trust, transparency, and the effects of emerging technologies on vulnerable populations. SMIT specializes a.o. in examining the adoption and impact of digital innovations in various application domains such as healthcare, media, manufacturing, smart cities... Key research questions revolve around technologies like persuasive systems, digital assistants, and AI-based decision-support tools and addressing ethical concerns such as dependency and algorithmic bias. SMIT explores human-centric approaches to health technology, focusing on co-creation with end users, experimental testing in controlled environments, and large-scale health pilots to validate innovations. By studying the role of human-computer interaction, data transparency, and trust in AI applications, we deliver impactful outcomes, including frameworks for trustworthy AI. Our track record in European and national research projects demonstrates a consistent focus on creating evidence-based solutions that integrate societal values into digital health technologies.
Human oversight will be a critical challenge for AI-enabled healthcare. Responsible deployment requires clear roles, intervention points and workable clinical processes. SMIT’s SSH research delivers validated oversight models and design requirements.
Partner seeks Consortium/Coordinator
Digital health and AI: HORIZON-HLTH-2027-03-TOOL-08 Towards Artificial General Intelligence (AGI) for healthcare
Clinical trials: HORIZON-HLTH-2027-02-DISEASE-01-two-stage Innovative healthcare interventions for non-communicable diseases
Healthcare innovations: HORIZON-MISS-2027-02-CANCER-01 Leveraging functional genomics to reveal novel targets for cancer treatment
Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
Healthcare innovations: HORIZON-HLTH-2027-01-CARE-02 Personalised approaches to reduce risks from Adverse Drug Reactions due to administration of multiple medications
Healthcare innovations: HORIZON-MISS-2027-02-CANCER-05 Pre-commercial procurement of affordable solutions for healthcare systems in the areas of cancer technologies, cancer medical devices, or cancer medicines
Healthcare innovations: HORIZON-MISS-2027-02-CANCER-04 Improving equitable health outcomes and added value for and with cancer patients through health-economics research, health systems research and outcomes research
Author
Research Valorisation Manager at IMEC-SMIT, Vrije Universiteit Brussel