At a time when health data is exploding in volume and diversity, DASH is at the forefront of harnessing its potential. Our mission? To enable data-driven innovation in healthcare by bridging the gap between insight and applications.
As researchers increasingly rely on robust IT facilities to process large and complex datasets, optimizing platforms for privacy and security is paramount. We are committed to matching supply and demand in IT and data science.
We facilitate IT facilities tailored for data science, machine learning (ML) and artificial intelligence (AI) applications and provide high-performance workstations and streamlined access to public cloud services. The IT lab is there to build up your expertise in data science and artificial intelligence in healthcare. In a dynamic learning environment, participants can learn about programming, algorithms and enriching insights from medical images. Whether you are an undergraduate student, graduate student or (clinical) researcher, our platform offers practical assignments to complement your theoretical knowledge.
The AI Think Tank, etablisseer in 2020, serves as a hub for generating ideas and providing insights on the policy and application of AI in research and clinical practice for UMCG. The Think Tank consists of professionals from different disciplines within UMCG and encourages diverse perspectives and expertise.
Annually, UMCG researchers can apply for a DASH project, receiving a grant and specialised help from our team to kick-start their research efforts. These initiatives are available to researchers from clinical and pre-clinical departments working on problems in the areas of extended or complex data, research IT or data science. Selected projects will benefit from dedicated staff time and/or financial support for specialised resources or assistance. Some examples of previous DASH projects:
The call is launched every year. More information about the DASH Project Grant 2025.
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The Digital Healthcare Community at the Jantina Tammes School (JTS) is an interdisciplinary network dedicated to exploring the transformative potential of artificial intelligence (AI) in healthcare. Part of the University of Groningen's hub for digital society, technology, and AI, this community unites researchers, educators, and societal partners to address the challenges and opportunities at the intersection of AI and medical sciences.
Guided by a commitment to collaboration and innovation, the community fosters cutting-edge research, knowledge exchange, and talent development through seminars, workshops, and joint initiatives. The diverse expertise within JTS enables the community to tackle complex healthcare issues, from prevention, diagnostics, and drug discovery to personalised medicine.
Led by Theme Coordinator Peter van Ooijen, the community envisions transforming AI in healthcare to improve patient outcomes and societal well-being. With an emphasis on interdisciplinary collaboration, the Digital Healthcare Community aims to redefine the future of healthcare by building a vibrant community. Learn more about the Digital Healthcare Community and JTS.
The ELSA AI lab Northern Netherlands (ELSA-NN) is committed to the promotion of healthy living, working and ageing. By investigating the ELSA (Ethical, Legal and Societal), cultural and psychological aspects of the use of AI in different decision-making contexts and integrating this knowledge into an online ELSA tool, ELSA-NN aims to foster the knowledge, development and implementation of trustworthy human-centric AI in healthcare.
ELSA-NN is integrated within DASH and is working together with the AI hub Northern-Netherlands, HTRIC and additional consortium partners, especially patients/citizens, private, governmental and research organizations, to have a quadruple-helix consortium. In this context, ELSA-NN will be set-up as a learning health system in which much attention will be paid to dialogue, communication and education. Specific focus will be on investigating low social economic status (SES) perspectives, since health disparities between high and low SES groups are growing world-wide, including in the Northern region of the Netherlands and existing health inequalities may increase with the introduction and use of innovative health technologies such as AI.
