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Session Overview
Session
6-RT201: Implications of European Open Science Cloud (EOSC) and FAIR Data for Youth-Employment in Africa
Time:
Wednesday, 07/July/2021:
12:30pm - 1:45pm

Session Chair: Prof. Mirjam van Reisen, Tilburg University, the Netherlands, Netherlands, The
Session Chair: Dr. Antony Otieno Ong’ayo, Erasmus University, Netherlands, The

Session Abstract

The new economy is driven by data. Recent advancements in digital technology and computation, a large volume of data is generated instantly and at a very high speed. While this development facilitates significant advancement in data science and  general use of technology (hardware and software) and applications for various solutions (communication, health, finance, agriculture, education and research), challenges remain with regards to issues around digital divide (between and within global geographical locations),  governance, security and privacy concerns. Access to data increasingly becomes a challenge due to the large volume of data, which is not possible to move, which at the same remain inaccessible and not reusable due to the invisibility and fragmentation. The EU has responded by embracing the European Open Science Could and FAIR-data: data as machine- and human readable: Findable, Accessible, Interoperable, and Reusable (FAIR).

The new generation Internet of FAIR Data and Services will present a revolutionary way forward to knowledge, research, and services. How will Africa benefit from this? This is especially relevant in the context of the growing concerns that youth employment needs to be addressed, looking at the demographic of a fast-growing African population with globally the largest youth segment. In what way is the EU ensuring that capacities are built so that African youth can connect to these critical economic developments?

The GO FAIR initiative, the GO FAIR Implementation Network Africa and the GO FAIR Ambassadors Implementation Network explore how the latest technological advancements in data science can benefit youth employment in Africa. To do so, we give attention such issues as distributed learning on federated data, Data stewardship competences, Scaling FAIR to industry and global goals (SDGs), how to make your data discoverable, data governance and computing for societies.  The EU is planning a 100 billion research programme based on FAIR principles. How will African researchers and young people benefit from these new opportunities and participate in the data-driven new economy? What will the EU do to take up its responsibility to internationalise FAIR and create economic opportunities for all, in its multi-annual programme to be agreed for the period 2020-2027.


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