Call For Women in Science Programme

Responsible AI is helping Swiss small and medium-sized enterprises (SMEs) build trust in their AI systems, cut down on regulatory risk, and scale their AI initiatives with confidence. By combining governance processes, technical standards, and ethical design principles, Responsible AI has become — according to experts like Ricardo Chavarriaga of ZHAW and the Swiss Centre for Responsible AI — a critical success factor for AI adoption among smaller companies.

Diverses études de cohorte de grande qualité sont en cours en Suisse. Toutefois, les données longitudinales collectées ne peuvent développer leur plein potentiel pour la recherche, que si elles peuvent être trouvées, comparées et utilisées de manière collaborative. Pour répondre à ce besoin, SPHN a lancé en 2021 le Swiss Personalized Health Network Cohort Consortium (SPHN-CC), hébergé dans le Maelstrom Catalogue. Ce catalogue international réunit des informations clés sur le design des études, la collecte des données et les variables mesurées.

Behind every scientific breakthrough lies a vast amount of data. But how do you obtain the necessary data, and how do you ensure that researchers in Zurich and Barcelona can use the same datasets? In a new white paper, the State Secretariat for Education, Research and Innovation (SERI) sets out how it intends to tackle these issues strategically – thereby reinforcing its role as a trustworthy and reliable partner in European science.