Projects

Our DFG Infrastructure Priority Programme (SPP 2431) funded research projects (Phase 1, 2024-2027)

Click a project title to learn more.

AI-enhanced validation of survey instruments:

Integrating semi-automated methods in cognitive interviews for children's self- and proxy assessments of health (AI-SIC)

The Behavioral Measurement Toolbox

(BMT)

Video-Interviewing as part of a targeted multi-mode design in household panel surveys

(CALVI)

Combining surveys and digital tracking data for mental health research from a computational social science perspective

(COSDIMH)

Integrating data donation in survey infrastructure:

Quantifying, explaining, and addressing errors in representation and measurement

Dynamic surveys for dynamic life courses

(DSDLC)

Feasibility, acceptance and data quality of new multimodal surveys

(FACES)

Individual text corpora

for the language modelling of personality, knowledge and intelligence (ITC)

Learning from environment through the eyes of children

(LEECHI)

Surveying panel participants' network members:

Integration of ego-centric data collection and respondent-driven sampling (RDS)

Record matching with similarity encoding:

A supervised learning recommendation framework for linking survey data

Reliability in intensive longitudinal data

(RILDA)

Enhanced assessment of social and health-related processes in panel studies

through event-contingent multimethod experience sampling designs (SHERPA)

Challenges and potentials of capturing short-term dynamics of attitude development

through smartphone-based intensive longitudinal methods in public opinion research (SmartDyn)

Enhancing survey participation within diverse respondent groups:

Tailoring a recruitment strategy for Turkish citizens in Germany (TaRec)

Next funding call expected to open March 2026

The upcoming call will invite researchers to submit proposals to DFG for the second project funding period (2027-2030)

More information soon!

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Discover the research projects of New Data Spaces for the Social Sciences