Project description
Can narratives support the reception of atypicality?
The recent pandemic has demonstrated the importance of employing unconventional approaches to tackle unforeseen events. However, existing research indicates that atypical ideas, products, or actors are often met with mistrust and rejection, with sceptics accusing them of being illegitimate. Can narratives play a role in assisting atypicality and facilitating its acceptance? The EU-funded NARR-ATY-VES project aims to explore how narratives can promote the reception of atypicality and encourage its spread. The project will develop an understanding of the role and structure of narratives in supporting the evaluation of atypical ideas and by introducing an innovative computational approach based on advanced Natural Language Processing (NLP) techniques to model the contextual embeddedness and sequential unfolding of narratives.
Objective
Among the lessons learned from the recent pandemic is the importance of embracing the unconventional. Indeed, atypical approaches have proved to be a key strategic resource for coping with unpredictable events, promoting socio-cultural transformation, and expanding the capacity to deliver valued goods and services. However, although a departure from what is a standard positioning within socio-cultural domains may open up pathways to exceptional impact, existing research shows that atypical ideas, products, or actors generate mistrust and encourage rejection as they are subject to skepticism and face a higher risk of being considered ambiguous or illegitimate. This project's aim is to study how narratives can support the reception of atypicality and stimulate its diffusion. Narratives are powerful means of sustaining the alignment between actions and established conventions, especially in the face of situations that depart from expectations or definitions of what is considered contextually normal. NARR-ATY-VES (Narratives for Atypicality) aims to 1) develop an understanding of the role of narratives' content and structure in promoting and supporting the evaluation of atypicality and 2) introduce an innovative computational approach based on cutting-edge Natural Language Processing (NLP) techniques to model two fundamental dimensions of narratives, namely their contextual embeddedness and their sequential unfolding based on cutting-edge Natural Language Processing (NLP) techniques, to map narrativity, i.e. the set of narrative elements that characterize the complex nature of narratives. Through this hands-on 2-year research project, the Researcher's knowledge and skill will be enhanced enormously, and he shall be en route to becoming an expert in this field.
Fields of science (EuroSciVoc)
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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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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)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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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
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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.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2022-PF-01
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40003 Segovia
Spain
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