Gabriel Grill

My research interests revolve around the social study of algorithmic systems, evaluation in machine learning, and platforms. My dissertation research examines emerging practices and impacts related to the use of data analytics tools in supply chain risk management. I mainly use qualitative methods informed by sensibilities from science and technology studies, infrastructure studies, and technical expertise in computer science. I have published articles examining impacts, values, and other socio-political aspects of and around algorithmic systems such as on: unrest prediction based on social media data, harassment of women on social media, unemployed profiling in public welfare, and emotion recognition on social media. My work draws mainly upon literature from feminist science and technology studies, sociology of risk & testing, organizational studies, algorithm & data studies, social computing, and infrastructure & platform studies. My prior computer science education at the Vienna University of Technology was focused on the areas of natural language processing, parallel & distributed computing, machine learning, logic programming, and compiler construction.

I am currently a PhD candidate at the University of Michigan and advised by Christian Sandvig and Silvia Lindtner. I am affiliated with the Center for Ethics, Society, and Computing (ESC), the Infrastructure Lab and the Tech.Culture.Matters. research collective. I have also previously conducted research at the Austrian Academy of Sciences, National Institute of Informatics in Tokyo and Vienna University of Technology.

My work has been published in venues such as ACM SIGCHI (Human-Computer Interaction), ACM CSCW (Computer Supported Cooperative Work & Social Computing), and Frontiers in Big Data and presented at the Society for the Social Studies of Science (4S), Association of Internet Researchers (AoIR), Society for the Advancement of Socio-Economics (SASE), European Association for the Study of Science and Technology (EASST), European Conference on Computer Supported Cooperative Work (ECSCW), Surveillance & Society conference, and the Data Justice conference.