Chist-ERA call 2025: Science in your Own Language (SOL)
Fond National de la Recherche Scientifique (F.R.S.-FNRS)
This call concerns the following topic: Topic: “Science in your own language (SOL)”.
This CHIST-ERA call will address the following two main strategic objectives:
• Promote multilingualism among science and technology producers (back-end) and users (frontend) through Machine Translation tools.
• Demonstrate, in the EU context, the use of a self-evaluation methodology, contributing to robust
developments by ensuring experiment reproducibility with predetermined data sets,
performance indicators and schedules.
Target Outcomes
Projects should address one or more of the following issues:
• Machine translation of scholarly documents to and from different languages including the
translation of research metadata and data where applicable, documents, protocols, paper and
project reviews, other academic or technical outputs such as outreach materials and press
releases, blogs and other web-based content.
• Design of tools for seamless and interoperable access to multilingual scientific and technology
data hubs and repositories for stakeholders who chose to approach and use them in their own
language. Tools should be demonstrated by application to sectoral use cases.
• Tools for multilingual detection of scientific frauds and plagiarism.
Expected Impact
Funded projects are expected to significantly advance the state-of-the-art by achieving one or more of the following objectives. • Open science to citizens and society.
• Take on board all research works independently of their language. Make academic results not published in English, arguably the current lingua franca, widely available to the academic communities so they can be internationally recognised.
• Increase the value of research and research driven products and services by facilitating regional or national targeted impacts.
• Increase the visibility of scientific results, irrespective of the language used to report them.
• Make creativity and reasoning in research benefit from all language subtleties.
• Design and implement demonstrations of new approaches to knowledge access both through novel modelling of data structures and software oriented to meet new criteria for accessibility policies.