Objective
Many decisions involve intertemporal choice: a choice between options whose consequences occur at different points in time. For example, choosing whether or not to eat cake when you also want to lose weight this month. Remarkably, we often choose small immediate rewards (e.g. eat cake) over large future benefits (e.g. lose weight), despite different intentions. How can we become better at resisting temptations and align our behavior with our long-term intentions? ‘Nudging’, a concept from behavioral economics, appears a promising strategy: by designing choice contexts that exploit our cognitive biases, it gently guides us into making choices that are better for ourselves and society. One way to nudge intertemporal choice is by ‘framing’ the timing of the choice outcome in a certain way: e.g. we make more patient choices when future outcomes are described in terms of calendar dates (‘on May 1’) than in terms of corresponding delays (‘in 30 days’). However, two problems hamper the use of time framing in practice: we do not know how time framing works nor who is susceptible to it. If we do not address these problems, we will not understand our seemingly irrational choices and we will not be able to develop framing interventions that change behavior. To solve these problems, I will determine the mechanisms and individual determinants of time framing in intertemporal choice, using new computational models, functional MRI, and an online experiment. My working hypothesis is that time framing changes how we perceive time and that individual differences in time perception determine whether or not time framing changes behavior. The proposed research will provide scientists, policymakers, clinicians, and businesses with a deep understanding of how framing influences our choices. This knowledge will guide smart policies, personalized interventions, and nudge-based technologies that promote future-minded behavior and reduce societal costs in Europe and the rest of the world.
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.
- natural sciences computer and information sciences data science
- social sciences economics and business economics
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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-RI - RI – Reintegration panel
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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-2015
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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.
6525 XZ Nijmegen
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.