Motivation

New developments in digitalization and data science needs to be transferred to the new generation of scientists and professionals. Therefore, it is necessary to incorporate these concepts already during their university studies and life-long learning. The IUC aims to provide the necessary materials related demonstration and teaching infrastructure. EUSMAT will provide its international study programmes, like the Erasmus Mundus Master AMASE, and its network of international partners for implementing the designed modules for all academic levels, taking in account also intercultural aspects. In addition to that, the PP participant universities will be at the forefront of implementation and testing. Evaluations will be conducted after the training activities in order to identify potential ways of improvement. The modules will be made available for the MSE community for being implemented in other study programmes.

Overview

Main requirements
- Support for the development of academic teaching materials (TA-CI) 
- Digital Materials Environment (TA-MDI)
- Validated and well-documented workflows (TA-CI)
Main Task Area: TA-CI 
Other related Task Areas: TA-MDI, TA-WSD
Possible connections within NFDI: NFDI4Ing, FAIRmat
Material/Data: Teaching
Main Success Scenario: Students can experience the full functionality of the Digital Materials Environment and learn to use workflows with pre-existing datasets and ontologies.
Added value for the MatWerk community: teaching personnel can tailor the demo framework as well as datasets and workflows to match their study courses.

Goals

  • Integrate Digitalization and Data Science Concepts: Incorporate the latest developments in digitalization and data science into educational programs for scientists and professionals.
  • Provide Educational Infrastructure: Develop and offer the necessary infrastructure for demonstrating and teaching materials data integration, enhancing practical learning experiences.
  • Utilize International Study Programs: Leverage EUSMAT's international study programs, such as the Erasmus Mundus Master AMASE, and its network of partners to implement educational modules across all academic levels, considering intercultural dimensions.
  • Lead Implementation and Testing: Ensure that PP participant universities are leading in the implementation and testing of the educational modules, actively participating in their development and application.
  • Conduct Evaluations for Improvement: Perform evaluations after training activities to assess effectiveness and identify potential improvements in the educational modules and teaching approaches.
  • Disseminate Educational Modules: Make the developed modules available to the materials science and engineering (MSE) community for adoption in other study programs, facilitating broader educational impacts.
  • Support Lifelong Learning: Incorporate these concepts into lifelong learning programs to ensure continuous professional development and adaptation to new digital and data science trends.

Related Participant Projects

All Infrastructure Use Cases

NFDI-MatWerk
Funded by the German Research Foundation (DFG) under the National Research Data Infrastructure – NFDI 38/1 – 460247524

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