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Sustainable Timebanking with AI Research and Software (Development Project Funding)

    Project Details

    Description

    Timebanking services have been successful in reducing loneliness, promoting wellbeing, and creating community cohesion based on a peer-to-peer skills exchange. The aim of this project is to investigate applications of natural language processing and machine learning for matching of requests to offers and analysis of interactions quality.
    Short titleSTAIRS
    StatusFinished
    Effective start/end date2/05/23 → 31/07/23

    Collaborative partners

    UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being
    2. SDG 16 - Peace, Justice and Strong Institutions
      SDG 16 Peace, Justice and Strong Institutions

    Fingerprint

    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
    • Utilising machine learning for better mental health and decision making: a case study of timebanking UK

      Mohasseb, A., Chiroma, F. M., Khusainov, R. & Curry, D., 16 May 2025, Intelligent Health Systems – From Technology to Data and Knowledge: Proceedings of MIE 2025. Andrikopoulou, E., Gallos, P., Arvanitis, T. N., Austin, R., Benis, A., Cornet, R., Chatzistergos, P., Dejaco, A., Dusseljee-Peute, L., Mohasseb, A., Natsiavas, P., Nakkas, H. & Scott, P. (eds.). IOS Press, p. 547-551 (Studies in Health Technology and Informatics; vol. 327).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

      Open Access
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