Welcome to my website . . .
Currently I’m a ‘Science-Technology-Society’ Master student at University of Vienna. In addition I work as teaching assistant for the lecture ‘Theory and history of science’ at the Faculty of Social Sciences at University of Vienna.
Before this I finished my Bachelor degree in Business Information Management and worked four years for IBM in different job positions and countries.
I’m especially interested in the intersection of science, technology and society as well as in the topics education, algorithms and sustainability. Within my current studies I’m focusing primary on the impact of information technologies on societies and the other way around. For my master thesis I'm currently investigating 'habit tracking apps'.
In my leisure I love to code, read different forms of literature, fight patriarchy, and write poems myself.
This lecture dealt with the intersection of society and information technology. Based on the concepts of Co-Production and Actor-Network-Theory students learnt about the challenges that are topical in this area (ethical, social and political questions). Five foci where set: Big Data and Algorithms, Self-Driving Cars, (Self-)Tracking, Data Security and Privacy and Social Networks.
This lecture focused on the topic and method of "technology assessment". Based on specific case studies students were able to think about the implications of new technologies for society.
This lecture dealt with the intersection of society and information technology. Based on the Actor-Network-Theory students learnt about the challenges that are topical in this area (ethical, social and political questions). Five foci where set: Big Data and Algorithms, Self-Driving Cars, Technological Impact Assessment, Data Security and Privacy and Social Networks.
This lecture dealt with the intersection of society and information technology. Based on the Actor-Network-Theory students learnt about the challenges that are topical in this area (ethical, social and political questions). Four foci where set: Big Data, Algorithms, Self-Driving Cars and Technological Impact Assessment.
