PhD Candidate in Information, University of Michigan
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.
|Mar 15, 2023||Presentation at STS Conference Graz 2023: How to teach the study of algorithms: Experiences from the field|
|Feb 20, 2023||Article accepted to CHI 2023: Online Harassment in Majority Contexts: Examining Harms and Remedies across Countries|
|Dec 29, 2022||Presentation at Data (Re)Makes the World conference of Information Society Project at Yale Law School: Constructing Certainty in Machine Learning: On the performativity of testing and its hold on the future|
|Aug 29, 2022||Presentation at 4s/ESOCITE Joint Meeting 2022: Making algorithms work: On the production of ignorance in the construction of accuracy measures in machine learning|
|Jul 30, 2022||Invited Talk at Digital Age Research Center at University of Klagenfurt: Constructing Certainty in Machine Learning: On the performativity of accuracy and its hold on the future|
|Jul 29, 2022||Invited Talk at Work Research Institute at Oslo Metropolitan University: The politics of protest and labor strike prediction technologies in supply chain management and beyond|
|Mar 29, 2022||Presentation at RAI 2022 (Anthropology, AI and the Future of Human Society) at panel “AI and the new politics of supply chains”: Unpacking the construction of labor risk in supply chain management|
|Mar 20, 2022||Presentation at EASST 2022: Constructing Certainty: The performativity of benchmarking and its hold on the future|
|Mar 18, 2022||Presentation at SASE 2022 at panel “Digital Technologies and Working Conditions in Global Value Chains”: Unpacking Risk in Unrest Risk Assessment across Global Supply Chains|
|Mar 15, 2022||Presentation at the 9th biennial Surveillance & Society conference of the Surveillance Studies Network: The politics of data in labor unrest risk assessment across global supply chains|
|Mar 11, 2022||Article accepted to CSCW 2022: Women’s Perspectives on Harm and Justice after Online Harassment|
|Jan 7, 2022||Article accepted to CSCW 2022! Preprint: Attitudes and Folk Theories of Data Subjects on Transparency and Accuracy in Emotion Recognition|
|Jul 27, 2021||Paper published in the CSCW Journal! Preprint: Future protest made risky: Examining social media based civil unrest prediction research and products|
|Oct 5, 2020||Presentation at AoIR 2020 on my research on protest prediction tools that use social media data. Extended Abstract available here.|
|Feb 21, 2020||Article published in Frontiers in Big Data: Algorithmic profiling of job seekers in Austria: how austerity politics are made effective|