Projects in Research Area "Social Data and Methods"
Work in this research area explores innovative tools and methods for the collection, processing, and analysis of data for social science research. We investigate various forms of data and their quality, including survey data, text data, and digital behavioural data. We analyze how new technologies can facilitate, improve, and augment traditional modes of data collection. This area is also dedicated to evaluating the ways in which artificial intelligence influences data generation processes, decision-making processes, and social inequalities.
- Trafficking Risks: AI for Proactive Protection (TRAPP)
- Leveraging Large Language Models for Digital Behaviour Data Analysis
- AI-Assisted Causal Inference
- Democratizing Fairness in Artificial Intelligence and Algorithmic Decision-Making
- Spatial Inequalities Beyond the Residential Neighbourhood: A Smartphone-Based Assessment of Activity Spaces, Social Support, and Intergroup Contact
- Leveraging Large Language Models for Survey Research
- Norms and Normative Expectations in Algorithmic Decision-Support Systems
- Family Meals in Context: How Social Influences Shape Food Preferences and Decisions Over Time (FAMEALY)
- Acceptance of Smartphone Technologies for Social Science Data Collection
- Integrating Data Donation in Survey Infrastructure: Quantifying, Explaining, and Addressing Errors in Representation and Measurement
- Utilizing the Potentials of Twin Studies to Improve Our Understanding of Satisficing Response Behaviour in Surveys
- Prediction-based Adaptive Designs for Panel Surveys
- Understanding, Measuring, and Alleviating Inequalities in Digital Technology Use
- CAIUS: Consequences of AI-Based Decision Making for Urban Societies
- Textual Measures of Populism (TEMPOP) for the Analysis of Party Competition and Political Behaviour