How to organize data management emphasizing roles and responsibilities?

Lead: Donné de Ruijter (Alliander)
Topics: Data mesh, Data products, Data Ownership, Data Spaces, Data Ecosystems.

Ethics and privacy by design: what and how?

Lead: Theo Theunissen (HAN University of Applied Sciences)
Topics: Data spaces

Datasemantics and -modelling as the core of data management, but in view of a changing context.

Lead: Maarten Ketelaars (NIPPUR)
Topics: Data Spaces, Data veracity, Information Modelling, Ontologies, Concept Mining, Knowledge Graphs

From fragmented data sources and manual processes to streamlined data platforms, pipelines and data-sharing. And from disparate data sources and ad hoc data collection methods to systematic & scalable data acquisition processes.

Lead: Pieter Zeilstra (Saxion)
Topics: Data Spaces, Data Platforms, DataOps, Digital twin, ETL, TinyML/Edge intelligence, Data acquisition, IoT, Sensoren, Ingestion.

From traditional decision making to data-driven decision making, empowered by analysis, interpretation, and visualization.

Lead: Mettina Veenstra (Saxion)
Topics: Data exploration, Explainable AI, Business intelligence, Digital twin, Data interfacing.

Data-driven AI engineering: How to operationalize machine learning models, focused on the necessary data infrastructure. Data pipelines in production for ML models.

Lead: Petra Heck, Merel Veracx (Fontys)
Topics: DataOps, Data Wrangling, Data Science & ML platforms & pipelines, Data drift.

Data architecture for trustworthy LLM applications.

Lead: Leon Schrijvers, Petra Heck (Fontys)
Topics: Document databases, RAG (Retrieval Augmented Generation), Open Source LLMs, Testing RAG/LLMs, Chunking.