Research Academy

The DataNord Research Academy brings together methodological experts and domain specialists to collaborate on five innovative projects addressing critical data science challenges. By fostering advanced data skills and embedding them into the research process, the Research Academy creates a lasting, cross-disciplinary impact. Serving as a foundation for training the next generation of data scientists, it also plays a pivotal role in shaping a forward-looking data culture within the scientific community.

Our Projects

HealthyPlanet

The HealthyPlanet project uses satellite data to study how environmental factors like pollution, green spaces, and climate indices impact health and behavior. By linking individual health data with geocoded satellite data, it addresses research gaps, fosters interdisciplinary collaboration, and promotes data literacy.

Participating Institutions:
Leibniz BIPS (Lead), AWI, Leibniz ZMT

MRI4All

MRI4All develops AI methods to optimize MRI imaging and improves tools for easier access to MRI devices. The project enhances researchers' competencies in analyzing, validating, and cross-domain utilization of complex imaging data, as well as in the application of innovative technologies.

Participating Institutions:
DFKI (Co-Lead), University of Bremen (Co-Lead), Fraunhofer MEVIS

SmartReps

SmartReps develops AI-driven methods, such as natural language processing (NLP) and machine learning, to ensure the quality and usability of natural and social science research data. The project enhances competencies in quality assurance, data integration, interoperability, and the responsible use of AI technologies.

Participating Institutions:
AWI (Lead), Hochschule Bremen, University of Bremen

SynData

SynData develops advanced methods for generating synthetic research data using AI while ensuring their quality and making the creation process transparent in line with "Explainable AI" principles. The project strengthens expertise in research data management, interdisciplinary data utilization, and the responsible use of AI-generated data.

Participating Institutions:
University of Bremen (Lead), Fraunhofer IFAM

WeTheSocialMedia

WeTheSocialMedia uses AI methods and natural language processing (NLP) to study how social movements utilize social networks, while also developing software to enable comprehensive and long-term analysis of this usage. The project enhances competences in data analysis, visualization, ethical data usage, and interdisciplinary research.

Beteiligte Institutionen:
ifib (Lead), University of Bremen, Center for Advanced Internet Studies (CAIS)