Organisation/Company: Université de Pau et des Pays de l'Adour
Research Field: Computer science » Informatics
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: France
Application Deadline: 14 Jan 2025 - 22:00 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description Over-tourism refers to the excessive influx of tourists to a particular destination. This leads to a number of problems, including environmental degradation (pollution, infrastructure overload, waste generation), a decline in quality of life for locals (increased living costs, disturbances, erosion of local identity), and negative visitor experiences (long wait times, lack of personalization). In this context, we hypothesize that many tourists would prefer alternative experiences that combine sports, culture, and lesser-known attractions, following a slow-tourism approach. Slow tourism encourages visitors to take their time, explore less crowded destinations, immerse themselves in local culture, and have a positive impact on the environment and local communities.
This research project aims to:
Create datasets of lesser-known cultural and heritage attractions in rural mountains using AI to analyze various data sources.
Categorize and match these attractions with visitor preferences.
Develop 'virtuous recommendations' to create personalized slow-tourism itineraries, connecting visitors with underutilized attractions and promoting positive impacts on local communities.
Début de la thèse: 01/10/2025
WEB: https://research.univ-unita.eu/en/choral-project.html
Funding category: Programmes de l'Union Européenne de financement de la recherche (ERC, ERASMUS)
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