Objective
This year, over 5 million European infants will be born into an intellectually demanding and technologically sophisticated world. These children's success in learning academic, linguistic, and social skills will play a large part in determining their future health, wealth, and happiness - and in driving European social and economic success. Thanks to new technologies, we have an unprecedented opportunity to individually tailor the learning process on a massive scale. The importance of a personalised learning approach is highlighted by recent research showing that individual children's and ultimately adults' abilities across various domains are strongly influenced by neural, genetic, environmental, educational, cognitive, and socioemotional drivers that interact over development. However, we have a very limited understanding of how, when, and why these factors might affect any given child's learning trajectory - and above all, how that child will respond to an intervention or novel challenge to learning. The INTERLEARN European Industrial Doctorate programme will train a cohort of five early stage researchers who can lead a new European-wide initiative to deliver technologically advanced and scientifically rigorous individualised learning paradigms. Each of the interlocking research projects in INTERLEARN takes a theoretically and neuroscientifically grounded, developmental, and multimethodological approach to uncover how and when to manipulate a child's learning environment to maximise her or his potential, and to design and implement tools to deliver these learning manipulations.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.1. - Fostering new skills by means of excellent initial training of researchers
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-ITN-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
WC1E 7HX LONDON
United Kingdom
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.