Consulting
- Research data management
- Experimental design, statistical methodology, and open-science guidance
- Computational tool and annotation-scheme development
- Evaluation and benchmarking for NLP and multimodal AI
- Corpus planning, data annotation, and guideline design
- Reproducible NLP and AI pipeline development
- Integration of AI components into research and production systems
- Model selection, prompt design, and retrieval-augmented generation workflows
- Responsible AI, transparency, and data-protection guidance
- Scientific validation of computational methods and their results
- Workshops and training on NLP, large language models, and multimodal AI