Objective
The lack of physical activity is a leading cause of preventable death globally. For most people, failure to exercise is unlikely to be due to ignorance or lack of interest. While individuals are frequently motivated to start exercising in order to reduce and reverse different health risks, they often encounter difficulties in forming a sustained behavioral change--a habit. Habits are behaviors repeated in the same setting. They are characterized by activation by recurring context cues, insensitivity to short-term changes in goals, and other markers of automaticity. This action aims: A. to develop information-theoretic measures of regularity and predictability in fitness behavior which can be used as new measures of habits that better predict future retention, B. to understand the role of digital nudges and economic incentives in fitness habit formation and C. to investigate how social influence enhances individual habit formation in the age social media. To assess these research questions, the fellow -- in collaboration with a global exercise tracking company -- will device methodologies currently used in information theory and statistics on large scale historical individual datasets of fitness activity. In addition, the action will make extensive use of surveys and high fidelity randomized control experiments to validate empirical results and establish causal relationships. The complementarity between the expertise of supervision and the fellow’s qualification as well as the arrangements and environment provided by the host institution guarantee the success of this groundbreaking and timely project as well as an effective dissemination and utilization of the expected outcome. The conclusions of the proposed action could have important implications to health agencies in European Union and around the world, and may shape the way public health policy is imposed.
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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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-IF-EF-ST - Standard EF
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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-IF-2017
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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.
1678 Nicosia
Cyprus
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.