The DARE platform provides all the necessary tools to research developers to develop and execute their experiments written using either the fine-grained workflow specification library dispel4py or CWL. Moreover, the DARE platform offers data provenance to the users so as to track and analyze their data.
DebateLab intends to pioneer research towards unlockng the potential of the new dialectical nature of the Web, relying on the coupling of mature fields namely Computational Argumentation, Natural Language Processing, Information Retrieval, Machine Learning, and the Semantic Web.
I worked in the FAIR4Fusion project as a Software Engineer. The project’s goal was to make European (or nationally when permitted) funded data more widely available to the fusion community, other science communities, funding bodies, and the public at large in order to maximise the impact of, the data and demonstrate the importance of the work done at relevant sites.