4th June 2026, 11:30-13:30, online
Innovation is increasingly driven by the capacity to gather and manage data. They help to take decisions related to a complexity of actors, value chains, and economic, legal, sustainable, and social requirements, while allowing to develop and adapt faster during research and innovation processes.
Data management techniques and their use for predictive modelling, including big data handling and AI algorithms, are increasingly seen as a competitive factor and a premium criterion in cooperative research projects. Since several years, a Data Management strategy is mandatory in all EU projects. Data analysis and modelling are also increasingly important to combine results of impact assessments (e.g. as indicated by the Safe and Sustainable by Design framework).
Despite these efforts, several barriers still hinder their efficient use and exploitation, including aspects such as:
- Interest and resources of parties to share research data (e.g. including failure data) and build unbiased data sets
- Capacity to build relevant and FAIR (Findable, Accessible, Interoperable, and Reusable) raw data sets
- Scoping of data analysis (e.g. experimental data, correlations, predictive models, etc.) and selection of appropriate methods and tools
- Use and interpretation of results based on diverse data sets and models
- Sharing and using data and analytical results within and outside the consortium
Based on the experience of running European projects on material research, this workshop aims to promote awareness and to share views and experiences on data analysis from both researchers, and data management experts and practitioners.
Outline of the agenda (preliminary)
Setting the scene
- Introduction and gap analysis on data management and predictive modelling (Airi, PDC)
- Expert talks (TBD)
Panel discussion on data management & FAIR data and Predictive modelling
- Tassos Papadiamantis, Entelos
- Barry Hardy, Edelweiss Connect
- Vince Hop, Process Design Center (PDC)
- TBD
Q&A
Closing remarks
Who should attend?
Research and Industry experts, partners of European and national research projects, data providers and end users. This is an opportunity for exchange knowledge and experiences, identifying gaps, good practices, and learnings on the topic.
Organizers:
BIORING, BIOSAFIRE, BioPhenom, DESIDERATA, SuperBark, and SurfToGreen
Info