Development and propagation of AI-driven cultural analytics methods

This project continues and expands upon the work initiated in the ERA Chair project on Cultural Data Analysis (CUDAN), aiming to deepen and broaden large-scale cultural and language research at Tallinn University supported by machine learning and artificial intelligence methods. It seeks to apply and promote the use of such approaches among humanities and social science researchers, support research-based teaching, and add a science popularization dimension to cultural data analysis, which was not a priority in the CUDAN project's activities. The practical goal, already underway, is to successfully apply for additional funding, both in the form of local and international research projects and through participation in tenders and cross-sectoral cooperation projects. The CUDAN project ends in August 2024, and this current project will provide assurance to its participants that their work at Tallinn University will continue, motivating them to seek additional external funding. The project will also provide a platform to continue collaborations already started with institutions representing various sectors and disciplines (see below). Expected outcomes include at least one high-level research article, one longer popular science article, and other popularization activities including training, a series of seminars, and the successful launch of a longer research or development project. These objectives are in line with the university's development plan and the advancement of national sciences, enhancing the university's reputation and visibility through science popularization and cross-sector cooperation, and training a new generation of researchers for the university's scientific community.