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Dublin, 19 August 2020

In February 2020, the ELITE-S Fellowship Programme closed its second call for proposals and 8 candidates were offered a fellowship. 3 of those researchers have just joined the out team.

Dr Tijana Milosevic, ranked first in call 2 with a proposal entitled “OSAIBI – Open Standards for AI-based Bullying Interventions” under the supervision of Dr. Brian Davis (School of Computing) and Dr. James O’Higgins Norman (Anti-Bullying Centre) in Dublin City University (DCU). The project aims to create standards for proactive anti-bullying interventions on social media platforms by soliciting children’s feedback as to the effectiveness of these interventions; and as to their impact on children’s rights to safety, privacy and freedom of expression.

Dr Damien Graux, is a researcher in the field of Semantic Web technologies: mainly focusing on analyzing large distributed knowledge graphs and on designing complex transformation pipelines for heterogeneous Big Data. He ranked 3rd with a project proposal entitled “RecoWeb (Responsible Ecosystem for the Web of Data) – Toward efficient and responsible heterogeneous data pipelines for the Web” under the supervision of Dr. Declan O’Sullivan in Trinity College Dublin (TCD). His project aims at designing novel methods to allow the previously mentioned data combinations while providing a guarantee to the citizens that their personal data will be used responsibly and according to their will. The demonstrators and experiences developed during RecoWeb will be used to contribute into W3C working groups that are expected to emerge during the lifetime of RecoWeb, driven by communities already undertaking research into the “Decent Web”.

Dr Subhashis Das is a researcher in the area of ontology, information science, and health informatics and ranked 8th in our second call with a project entitled “CSDM – Common Semantic Data Model for complex Healthcare Networks” under the supervision of Dr. Pamela Hussey in Dublin City University (DCU). Achieving interoperability across one to many platforms by transforming all data to a single standard capturing all features, properties, and data fields in a single schema model is multifaceted and involves a number of stakeholders. CSDM proposes a hybrid approach to tackle the complexity based on two popular standards, FHIR and OMOP to accommodate maximum amount data fields in every aspect of healthcare experiment.

Tijana, Damien and Subhashis are the first fellows from our second call to join the team, and the remaining fellows will be joining us soon as we are working in line with government and host institutions’ guidelines on COVID-19.

The ELITE-S Fellowship Programme is co-funded by the European Union’s Horizon 2020 programme under the Marie Skłodowska-Curie Grant Agreement No. 801522