The challenge
Interdisciplinary projects often have valuable domain questions but lack a shared process connecting research framing, data, modelling, software, evaluation and scientific communication. DS4DH provides that connective structure.
Active research and education programme
KCS RESEARCH PROJECT
DS4DH Research Lab
Data science and AI for dynamic humanities and socially relevant domains
DS4DH is an interdisciplinary KCS research and training environment. It helps researchers, interns and collaborators apply rigorous data-science and AI methods to humanities, social sciences, digital culture, health, education and language technology.
Explore the project architectureResearch questions
The questions connect the real-world problem with research activities and evaluable contributions.
- How can data science create defensible insight in a domain-sensitive context?
- How should heterogeneous data be acquired, documented and prepared?
- Which analytical or AI method is justified by the research objective?
- How can a prototype, result and scientific contribution remain reproducible and understandable?
The research-project architecture
The DS4DH Research Lab architecture connects the project context and research assets with the methods, systems and outcomes required to answer its research questions.
CONTEXT
Domain questions
Humanities and social sciences
Health and education
Digital culture and language technology
→ASSETS
Data and knowledge
Documents and cultural collections
Structured and unstructured data
Domain expertise and ethics
→METHODS
Research lifecycle
Problem and exposé
Acquisition and preparation
Analysis, modelling and evaluation
→SYSTEM
Collaborative lab
GitHub, notebooks and cloud
Reproducible experiments
Supervision and review gates
→OUTCOMES
Research contributions
Papers and reports
Datasets and benchmarks
Prototypes and capable researchers
Project architecture: DS4DH Research Lab connects real needs and research assets with controlled methods, reusable systems and transferable outcomes. Evaluation and feedback can return the project to an earlier facet.
Research workstreams
Each workstream addresses a distinct part of the project while remaining connected to the shared architecture and questions.
Direction and planning
Participants turn a broad interest into an exposé with a problem, question, objectives, methods and delivery plan.
Data and evidence
The project establishes data provenance, quality, ethics, preparation and reproducibility.
Research engineering
Participants build analysis workflows, experiments or software artefacts aligned with the research objectives.
Evaluation and communication
Results are reviewed, limitations made explicit and contributions communicated through reports, papers and demonstrations.
Project highlights
- A structured internship programme for researchers, interns and collaborators.
- A reusable research operating system covering planning, experiments, writing and review.
- Teaching experience in Data Science for Digital Humanities project work.
- Expected outputs include papers, software, datasets, benchmarks and deployable research prototypes.
Research and supervision
KCS supports students, researchers and supervisors in connecting a relevant problem with appropriate methods, careful evaluation and a clear written or technical result.
Ways to participate or collaborate
- Join a structured research internship or supervised project.
- Propose an interdisciplinary research problem or dataset.
- Commission a research-method, data-science or responsible-AI workshop.
- Partner on a reproducible applied-research programme.
ENGAGE WITH KCS
Could this research direction help you or your institution?
Tell KCS whether you want to learn the method, join or propose a project, supervise researchers, evaluate a related idea, or develop a comparable research and innovation programme.
CONTACT / APPOINTMENTS
Contact / Termine
If you are interested in further information, or have comments or suggestions, please send them using the contact options below.
For appointment requests, use the booking link:
You can also contact Prof. Tamla here: