Our Role in Horizon Europe Consortia
How DHI Contributes to European Projects
The Digital Humanities Institute (DHI) is an infrastructure-oriented research partner with particular expertise in data engineering, digital infrastructure design, and computational analysis for complex Social Sciences and Humanities (SSH) projects.
We work with coordinators at proposal stage to design technically robust, interoperable, and sustainable architectures capable of supporting multi-partner, transnational research consortia.
Our contribution is especially valuable in projects involving heterogeneous, distributed, or large-scale cultural and societal datasets.
1. Digital Infrastructure Leadership
DHI can lead work packages involving:
- Design and implementation of interoperable research platforms
- Development of digital repositories and analytical workbenches
- API-driven system architecture for distributed consortia
- Integration of open standards and FAIR data principles
- Sustainability planning and long-term infrastructure stewardship
We design systems that remain usable, maintainable, and extensible beyond project lifetimes.
2. Data Engineering and Integration
DHI has particular expertise in structuring, modelling, and integrating complex datasets across distributed collections and institutional contexts.
We support projects requiring:
- Data model design for heterogeneous and multilingual datasets
- Metadata schema development and crosswalks between standards
- Entity resolution and nominal record linkage across archival sources
- Knowledge graph construction and semantic enrichment
- Integration of structured and unstructured data sources
- Scalable data ingestion and transformation pipelines
- Harmonisation of data across national and institutional boundaries
This enables Horizon consortia to move from fragmented data holdings to interoperable, research-ready data ecosystems.
3. Computational Analysis and Method Development
DHI contributes advanced computational methodologies to support large-scale analysis of cultural and societal data, including:
- Natural language processing workflows
- Machine learning and AI-supported data extraction
- Corpus construction and semantic analysis
- Geospatial modelling and spatial humanities methods
- Network analysis and graph modelling
- Large-scale record linkage and biographical reconstruction
We integrate analytical methods directly within infrastructure design to ensure reproducibility and scalability.
4. Sustainability and Long-Term Stewardship
A defining feature of DHI’s model is long-term digital stewardship.
We contribute to:
- Sustainability modelling beyond project funding
- Open standards implementation
- Documentation and reproducibility protocols
- Governance planning for digital infrastructures
- Continued institutional hosting where appropriate
Our infrastructure planning aligns closely with Horizon Europe expectations regarding durability, reuse, and interoperability.
5. Work Package and Task-Level Contributions
DHI can:
- Lead technical or data-focused work packages
- Deliver infrastructure architecture and system design
- Implement FAIR data frameworks
- Develop APIs and interoperability layers
- Support data governance and responsible AI integration
- Contribute to training and technical capacity building within consortia
We are experienced in distributed collaboration environments and structured project management within externally funded research.
6. Consortium Profile
DHI is particularly well suited to consortia requiring:
- A technically mature SSH infrastructure partner
- Advanced data modelling and integration expertise
- Sustainable digital platform development
- Large-scale cultural and societal data engineering
- Responsible and interoperable AI integration
We welcome discussions at early proposal stages to scope infrastructure architecture, data integration requirements, and technical work package design.
