  Dimensions of data culture (Theoretical, historical, corporate, administrative, scientific, technological, literary and artistic dimensions) THESIS TOPIC PROPOSAL Institute: University of Pannonia environmental sciences Doctoral School of Chemistry and Environmental Sciences Thesis supervisor: László Z. Karvalics co-supervisor: János Abonyi Location of studies (in Hungarian): Institute of Advanced Studies Kőszeg Abbreviation of location of studies: iASK Description of the research topic: Looking at the development of sub-systems in the economy, science, health (healthcare) or public administration, it is clear that these areas have an incredible demand for data, and data literacy, the ability to manage the data environment, is slowly becoming a basic skill. To this end, it is crucial to create a common conceptual language (transcending the data-information-knowledge 'trinity'), to explore important episodes in data history, and to know the distinct user worlds in order to couple them with the mapping of the supply side of the data industry. This also offers a good opportunity to engage in discussions and projects on the main directions of development of data technologies - in particular the use of large language models of artificial intelligence for data processing. For more information and to apply: In the shadow of the big technological and business challenges, a myriad of interesting data disciplines are coming to life and can be explored separately, such as the use of data in artistic projects (data sculpture, data sonification) or data journalism and their common intersection, infographic visualisation. There are also many challenges in the world of Linked Data or the production of sensor systems (in particular for lifelong monitoring of the human body). It is also worth looking in depth at the issues of data ethics and the school agenda for data literacy and statistical literacy. Required language skills: English Number of students who can be accepted: 5 Deadline for application: 2024-06-14 |