Hristina Veljanova
Hristina Veljanova has been a project assistant at the Department of the Foundations of Law - Section "Law and IT" since March 2020. Her research interests are in the fields of ethics of technology, machine ethics, robot ethics, computer ethics and theories of justice. She has worked on several national and international projects and dealt with topics such as trust and trustworthiness in ICT, cyber security in SMEs, networked and automated driving, learning analytics in universities. She is doing her PhD at the Institute of Philosophy with a thesis on Values by Design in autonomous driving.
Selected projects
► TRUESSEC.EU - TRUst-Enhancing certified Solutions for SEcurity and protection of Citizens' rights in digital Europe is a CSA for the certification and labeling of trustworthiness properties from a multidisciplinary SSH-ICT perspective and with a focus on human rights.
The current complexity of ICT products and services makes it difficult to assess their trustworthiness. Therefore, certification is a must to restore transparency and trust. TRUESSEC.EU aims to explore the situation, barriers and benefits of security and privacy trustmarks, engage stakeholders in discussions and make recommendations that can promote the adoption and acceptance of trustmarks.
►VERDI - Trust in digitalization using the example of [semi-]autonomous driving and driver assistance systems:
The ongoing digitalization and automation of many task areas through increasingly complex systems not only raises questions about their adequate use and social acceptance, but must simultaneously address their conformity with European fundamental rights and values as well as their trustworthiness. In the automotive sector, these processes are reflected in the development of driver assistance systems, which are taking over ever more extensive driving functions and challenging the usual understanding of legal responsibility, safety and privacy.
►LA - Learning Analytics:
Students generate a wide range of different data that is available to universities. As part of the project, this data is processed in such a way that it can be directly reported back to students. The tools developed can help students to optimize their learning behavior and thus better manage their studies. This increases studyability and the university is perceived more strongly as a supportive place of learning. The focus is on evidence-based learning support and intervention, whereby learning content and paths can be adapted to the needs of the students - supplemented by individual support and feedback for all student groups in different teaching settings. The project is being implemented under the leadership of TU Graz together with the University of Graz and the University of Vienna.
