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We collaborate with the start-up company Stream Analyze that develops technology for scalable on-line and edge analyses of streamed data for industrial analytics (Amos II,Wrappers).

We participate in eSSENCE, a Swedish e-science research collaboration to create a research environment where the interplay between different e-science competences will open up the field for novel applications, more realistic simulations, and new scientific solutions, models and methods.

We collaborate with Luleå University of Technology and GESTAMP Hardtech on online analysis of streaming sensor and image data from hot stamping production processes of sheet metal parts.

We collaborate with Jacobs University on benchmarking of array databases and on SciSPARQL, an extension of SPARQL with array capabilities.