RAINBOW Newsletter Issue 4

The 4th issue of the RAINBOW’s newsletter has been published!

 In this issue we talk about RAINBOW’s security mechanisms and attestation model, the revamped project website along with its regularly updated blog section, as well as three project supported events.Go grab your copy here:  Do not forget to subscribe and follow RAINBOW on social media:

regain workshop

REGAIN Workshop – May 27 2021

On Thursday, May 27 2021, DATALAB is co-organizing the “REGAIN: Big data as key driver for circular digital transformation” workshop during the BDVA/DAIRO Data Week 2021 online event. Offering a set of keynote speeches, discussion panels and interactive sessions REGAIN will explore and highlight opportunities for boosting data-driven circular practices towards innovative digital transformations. Visit …

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informatics cafe series

Informatics Cafe series

PhD candidate and #DatalabAUTH team member Sofia Yfantidou will present her ongoing research on data analytics in the Internet of Sports at the Informatics Café series of online presentations & discussions organized by AUTh Computer Science Dept. on Wednesday 26th of May. facebook link

RAIS:Real-time Analytics for Internet of Sports (Η2020)

Open call for one Early Stage Researcher position

HORIZON 2020, MarieSkłodowska-Curie Innovative Training Network (ITN) project «RAIS: Real-time Analytics for the Internet of Sports», which is funded from the European Commission – invites candidates to submit applications for one (1) position (through the award of a work contract), for 18 months at the Datalab group, School of Informatics, Aristotle University of Thessaloniki. Required …

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Prof. Athena Vakali will be a speaker at the FIBEP TechDay 2021

The Director of Datalab, Professor Athena Vakali will be speaking about online social networks bot detection services on May 21, 2021 at the FIBEP TechDay 2021. Prof. Vakali will reveal crucial research outcomes in the battle against social bots “in the wild”. Social bot detection under interpretable, responsible and explainable AI methods will be showcased in …

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