Involved in several research projects, including but not limited to: Annotated Data Quality, CAIUS: Consequences of AI for Urban Societies, Fair Machine Learning and Data Analysis: A Foundational Framework, etc.
Research Experience
Post-Doctoral Researcher at the Professorship for Statistics and Methodology at the University of Mannheim; Research Assistant Professor at the Joint Program in Survey Methodology (JPSM) at the University of Maryland; Currently, Junior Professor of Social Data Science and Statistical Learning at Ludwig-Maximilians-University of Munich and Project Director at the Mannheim Centre for European Social Research (MZES).
Education
PhD in Social Science (Dr. rer. pol.) from the University of Duisburg-Essen in 2016.
Background
Research Interests: Reliable use of machine learning methods and new data sources in social science, survey research, and algorithmic fairness. Professional Field: Social Data Science and Statistical Learning.
Miscellany
Personal website link: https://skylerhallinan.com/, ORCID, ResearchGate, Google Scholar, GitHub Profile