The New Data Spaces for the Social Sciences programme aims to drive a surge in innovation by improving, enhancing and combining existing panel data infrastructures and emerging data sources to develop new data spaces for social science research. It integrates and consolidates skills, knowledge and expertise from different fields of empirical social research and computer science and provides the means to test new methods and procedures of data generation and data analytics.

New Data Spaces

This DFG Infrastructure Priority Programme's objectives are twofold:

  1. Develop best-practice examples of data generation, data collection and data integration to enhance data quality.

  2. Anchor innovations in existing panel studies, new data collection programmes and data analytic approaches.

New Data Spaces is managed by the Programme Committee, consisting of Prof. Dr. Cordula Artelt (Spokesperson), Prof. Dr. Corinna Kleinert, Prof. Dr. Reinhard Pollak, Prof. Dr. Stefan Liebig, and Prof. Dr. Alexander Mehler, and the Managing Director Dr. Anika Schenck-Fontaine.



Latest Publications

Idiographic Interrater Reliability Measures for Intensive Longitudinal Multirater Data.

PsychArchives | Koch, T., Jaehne, M. F., Riediger, M., Rauers, A., & Holtmann, J. | Jun 2025

Towards Unified, Dynamic and Annotation-based Visualisations and Exploration of Annotated Big Data Corpora with the Help of UNIFIED CORPUS EXPLORER.

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations) | Bönisch, K., Abrami, G., & Mehler, A. | Apr 2025

Docker Unified UIMA Interface: New perspectives for NLP on big data

SoftwareX | Abrami, G., Genios, M., Fitzermann, F., Baumartz, D. , Mehler, A. | Feb 2025