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A total funding of €2,100,000 will be distributed to projects for the development of novel XR-based applications primarily targeting the manufacturing domain. The total amount of funding per successful project will be in the range of €150,000 to €300,000. Each project may have up to three members including industrial partners, universities and research centers.

X2Learn logo

The XR2Learn project funded under the Horizon Europe framework Cluster 4-2022-HUMAN-01 is announcing its 1st Open Call.

The objective of the XR2Learn – Open Call #1 is to support the adoption of Virtual, Augmented, and Mixed Reality (VR/AR/MR) in educational and training scenarios in industry 5.0 technologies as well as other educational sectors (e.g. healthcare and medical, manufacturing, construction and engineering).

An application may be submitted by an individual SME or a small consortium of up to three members in total to develop an immersive, interactive experience. In case of a consortium, the Project Leader/ Coordinator must be an SME, while the inclusion in the consortium as a member of a potential user/ early adopter (e.g. University, Academic or Training organization) may be a plus (although not mandatory).

The total funding distributed at Open Call #1 is €2,100,000. The total amount of funding per successful sub-project will be in the range of €150,000 to €300,000. Each industrial entity may receive between €60,000 and €200,000, while the total funding for all industrial partners should be at least 60% of the total funding. All partners are funded at 100%, through lump sum. 7-14 applications will be selected via this open call to enter the process, extend XR2Learn scope and deliver novel XR-based applications primarily targeting the manufacturing domain.

Submission
Submission will be enabled on Thursday, June, 29th, 2023, and will end on Friday, September 29th, 2023, at 17:00CET time (Brussels time). Selected projects are expected to start on January 1st, 2024.

X2Learn

Links:
[L1] https://xr2learn.eu
[L2] https://xr2learn.eu/open-calls/

Please contact:
Ioannis Chatzigiannakis
Sapienza University of Rome and CNIT, Italy
This email address is being protected from spambots. You need JavaScript enabled to view it.

Next issue: January 2024
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Large Language Models
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