RC33 Logic and Methodology

Program Coordinator:

Hawal SHAMON, Forschungszentrum Jülich, Germany, h.shamon@fz-juelich.de


Sessions:


AI Agents As Research Tools In Sociology: Automating Data Collection, Analysis and Interpretation In Social Research

AI As Tool/Subject: Methodological Challenges In ML and LLM Social Research

Administrative Data and Social Research: Coverage, Comparability, and the Limits of Measurement

Alternative and Non-Traditional Data Collection Methods for Vulnerable Populations

Beyond Big Data: Methodological Reflections on Data, Context, and Social Knowledge

Beyond the “Confessional Tale”: Writing, Emotions, and Epistemic Transformation In Qualitative Social Research

Boundarylessness and Boundaries In Women’s Careers

Combining Quantitative and Creative Methods: Epistemological, Ethical and Practical Challenges

Complex Visual Phenomena: Concepts and Methods for Digital Image Analysis

Computational Approaches to Digital Political Polarization: Advancing Social Big Data Analysis and Social Network Analysis

Computational Text Analysis and Big Data In the Post-Truth Era: Decoding Disinformation and Populism

Dialectics As a Living Practice – Reimagining Theory-Empiricism In Qualitative Research

Governing the Inferential Chain: Artificial Intelligence, Evidence, and the Logic of Sociological Inquiry

Lessons from Crisis Research: Ethics and Methodology In Qualitative Research

Methodological Advancements In Surveying Complex, Unfamiliar, or Future Issues: From Public Opinions to Acceptance Research

Navigating Generative Artificial Intelligence (GenAI) In Qualitative Research: Applications and Recommendations

Reading the Material Body through Sociological Lenses: Methodological and Theoretical Challenges.

Sensitive Questions: Concepts, Cultures, Change, and Practical Strategies

Sociology Meets AI: Rethinking Knowledge Production, Research Methodology, and Scientific Standards

The Futures of Doing Research In the Social Sciences In the Era of Generative Artificial Intelligence (GenAI): What Can We Do? What Should We Do?

Triangulating Data Donations with Qualitative and Quantitative Methods. Epistemological, Methodological, and Ethical Considerations on Participatory Research