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del4all project full details

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Champion: John Domingue
Professor of Computer Science Email Icon Website Icon RDF Icon
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Participant(s):Allan Third, Alexander Mikroyannidis, Niaz Chowdhury, Audrey Ekuban

Similar Projects:HUB4NGI,

Timeline:01 Jan 2020 - 31 Dec 2021

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DEL4ALL

Digital Enhanced Learning for All

The main goal of DEL4ALL is to transform the current European research and innovation initiatives in the area of digital enhanced learning into an increasingly cohesive, dynamic, participatory and sustainable ecosystem, capable of effectively stimulating collaboration among all key players in an inclusive an impactful way. While consolidating outcomes of ongoing projects by analysing best-practice and success stories at the benefit of the whole community, dedicated dissemination and stakeholders' engagement activities will ensure to inject into the broader Next Generation Internet (NGI) initiative. DEL4ALL will guide the community and its efforts in a forward-looking perspective, analysing challenges and opportunities offered by the increasing adoption of digital technologies, such as blockchain, artificial intelligence, etc., for more inclusive and personalised learning solutions. This will be done by engaging experts in a multidisciplinary perspective to understand legal, organisational and technological defies to overcome, especially to scale up such solutions. This shall be the basis for providing guidelines on future research directions, as well as policy recommendations to transition from Horizon 2020 to Horizon Europe.

Partners
  • Martel Innovate
  • Fraunhofer FIT
  • Commonwealth Centre for Connected Learning

News

07 Mar 2022

Kiran Parmar


Publications

Publications | Visit External Site for Details Publications | doi 

Eisenstadt, M., Ramachandran, M., Chowdhury, N., Third, A. and Domingue, J. (2020) COVID-19 Antibody Test / Vaccination Certification There's an app for that, IEEE Open Journal of Engineering in Medicine and Biology, 1, pp. 148-155, IEEE

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Research Themes

Latest Seminar
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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