Gabriel Grill

PhD Candidate in Information Science, University of Michigan

My research interests center on the multi-disciplinary study of social and technical aspects algorithmic systems, data and performance measures. I am involved in projects examining impacts, ethics, discourses and affordances around protest and labor strike prediction systems, supply chain management, and unemployed profiling. I have also been involved in research on social media user perceptions on emotion recognition and international comparative work on online harassment. My work draws upon literature from feminist science and technology studies, critical algorithm & data studies, social computing, and infrastructure studies. My prior educational background is in computer science with experience in natural language processing, parallel computing, human-computer interaction and compiler construction.

I am currently a PhD candiate at the University of Michigan and advised by Silvia Lindtner and Christian Sandvig. I am affiliated with 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 and Research Studios Austria .

My work has been published in venues such as Computer Supported Cooperative Work (CSCW) and Frontiers in Big Data, and presented at the Society for the Social Studies of Science (4S), Association of Internet Researchers (AoIR), European Conference on Computer Supported Cooperative Work (ECSCW) and the Data Justice Conference.


Jul 27, 2021 New paper published in the CSCW Journal! Pre-Print: Future protest made risky: Examining social media based civil unrest prediction research and products
Oct 5, 2020 I will present on my research into protest prediction based on social media data at AoIR 2020. Extended Abstract available here.
Feb 21, 2020 New article available: Algorithmic profiling of job seekers in Austria: how austerity politics are made effective