Abstract
Amateur sports organisations in the EU often struggle to secure funding due to limited resources and expertise in grant writing. This paper explores how Artificial Intelligence (AI) can address this challenge by streamlining and enhancing the grant proposal development process. A pilot project conducted in Slovenia demonstrates AI’s capacity to empower non-professional grant writers, resulting in increased success rates in securing EU funding. The study also reveals the need for structured methodologies and ongoing support to maximise the benefits of AI in grant writing. This research highlights AI’s transformative potential in democratising access to funding and fostering a more vibrant and inclusive amateur sports landscape in the EU.ing access to funding and fostering a more vibrant and inclusive amateur sports landscape in the EU.
References
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., … & Amodei, D. (2020). Language models are few-shot learners. Advances in Neural Information Processing Systems, 33, 1877-1901.
Chuqing Zhang, Y., Yan, W., & Yu, Z. (2019). A comparative study on grant application strategies for collaborative scientific research projects in the European Union and China. Science and Public Policy, 46(5), 632-645.
Dale, R. (2016). The return of the paragraph: Using Big Data to Study Writing. Research in Teaching English, 50(4), 380-406.
Gillespie, T. (2014). The relevance of algorithms. In Media Technologies (pp. 167- 182). Routledge.
Hovy, E. H. (2021). Ten challenges in natural language processing. Computational Linguistics, 47(1), 1-16.
Huang, J., Rust, R. T., & Maksimovic, V. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 4-12.
Karsh, B., & Fox, C. R. (2009). The only grant-writing book you’ll ever need. Carroll & Graf Publishers.
Kitchin, R. (2014). The data revolution: Big data, open data, data infrastructures and their consequences. Sage.
Razbornik, I., & Todosijevic, S. (2024). Transformational Artificial Intelligence (TRAI): Revolutionizing the Modern Business World. Economy and Market Communication Review, Vol XiV, pp. 265-275
Russell, S. J., & Norvig, P. (2020). Artificial intelligence: A modern approach (4th ed.). Pearson Education.
Ryan, J. (2020). Understanding the grant writing process: Perspectives of sport management academics in the United Kingdom. Managing Sport and Leisure, 25(1- 2), 33-49.
Saraiva, P., & Myers, J. (2022). Funding Challenges and Strategies of Grassroots Sports Clubs in Portugal: A Qualitative Study. European Sport Management Quarterly, 22(4), 512-532.
Seifried, J., Wicker, P., & Pepin, Y. (2015). Sport Management Education in Europe: Results of a Mapping Study. European Journal for Sport and Society, 12(3), 239-260.
Vidal, S., Olea, A., & Puig, N. (2015). A Model for Understanding the Institutionalization of Sport for Development and Peace. Sport Management Review, 18(3), 265-276.
Wang, W., & Liu, N. (2023). A review of artificial intelligence in education from 2010 to 2020. Smart Learning Environments, 10(1), 1-26.
Zhang, Y., Gan, Z., & Caragea, C. (2019). Automated Essay Scoring with DiscourseAware Neural Models. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 4102-4111).
