Objective
Expectations about health and disease are known to directly affect health and treatment outcomes. In the EXPECT-HEALTH project, my research group is unravelling the central mechanisms of how expectations affect immune and endocrine responses and related health outcomes, through the use of pioneering multidisciplinary methods in healthy and clinical populations. Ultimate goal of gaining this knowledge is to apply it in innovative therapeutic interventions.
In order to reach this goal, an innovative multimodal training tool based on the dual expectancy learning approach (including implicit and explicit processes) proposed in the EXPECT-HEAL-TH project will be developed and brought to the pre-demonstration phase, making optimal use of new technology including implicit and explicit methods in the area of eHealth and serious gaming. I propose this proof of concept, termed TRAIN-HEAL-TH, to facilitate the design and development process in 4 stages: 1) development of innovative training tools, 2) usability and functionality testing of multimodal training tools, 3) pilot feasibility testing of multimodal training tools in relevant target populations and improving training tools based on pilot testing, and 4) evaluation of potential commercialisation opportunities.
This interdisciplinary, cross-boundary project aims to design a training tool that can be applied in healthy as well as clinical populations. The development process, including potential professional commercialisation opportunities, will be facilitated and evaluated in this study using state of the art knowledge within the field of eHealth and serious gaming. The project will result in a multimodal training tool that may be tailored to individual target populations for disease prevention and improvement of health outcomes. For the first time, the theoretical underpinnings of EXPECT-HEAL-TH are translated into innovative therapeutic tools that have potential for a broad range of societal and economic benefits.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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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.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
ERC-POC - Proof of Concept Grant
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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) ERC-2015-PoC
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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.
2311 EZ Leiden
Netherlands
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.