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CfP | IEEE Spoken Language Technology conference. First time in Greece by NCSR Demokritos

IEEE's Spoken Language Technology conference is organised for the first time in Europe in Athens Greece.

The biennial workshop will be organised by NCSR Demokritos (SKEL lab, II&T) taking place at Royal Olympic Hotel from 18 - 21 December 2018.

The calls for papers, tutorials and special sessions are available on the website www.slt2018.org

Make a note of these Important Dates:

SKEL Lab organising Big Data For Precision Medicine Symposium

In the frame of this year's Hellenic Forum 2018, coordinating partner NCSR Demokritos of the H2020 iASiS project is organising the International Symposium on Big Data for Precision Medicine.

The Symposium is taking place on Wednesday 11 July 2018 and aims to bring together many European and National projects as well as high level officials and organisations relevant to precision medicine thus providing the community for an opportunity to physically meet, exchange know-how and collaborate during the conference.

Project iASiS presented in two events in Brussels during April.

Dr. Grigoris Tzortzis travelled to Brussels, Belgium to present the H2020 iASiS project in two events.
On April, 23 he took part at a closed meeting in the frame of the OpenMinTED (OMTD) project where stakeholders discussed the various available initiatives and their roadmap options.

On April, 24 the project was presented to a full room during the Open Research Data to Support Sustainable Health Initiatives workshop.

Το ΙΠ&Τ στο Athens Science Festival 2018

Στο Athens Science Festival 2018, από το Ινστιτούτο Πληροφορικής & Τηλεπικοινωνιών του ΕΚΕΦΕ Δημόκριτος, συμμετείχαν:

SMARTcamp 2018: Μαθήματα Ρομποτικής & Ψηφιακών Τεχνών στο ΕΚΕΦΕ "Δημόκριτος"

Φέτος τα επιστημονικά εργαστήρια SMARTcamp κλείνουν 5 χρόνια!
Μάθηση, δημιουργικότητα, ψηφιακές τεχνολογίες & πληροφορική για μαθητές/τριες 14-18 ετών.
Δηλώστε τώρα συμμετοχή στη σελίδα smart-camp.iit.demokritos.gr/registration-form
Nέα Προθεσμία υποβολής αιτήσεων 15.05.2018

Deadline to apply or register: 
Tue, 15/05/2018

New H2020 project BigMedilytics kicks-off for SKEL Lab

A new H2020 European Research project kicked off for SKEL Lab in Eindhoven, The Netherlands on 6-7 March 2018. BigMedilytics (which stands for Big Data for Medical Analytics) is a big partnership between 35 organisations from throughout Europe.

During its 38 months of work the partnership will create a system by using health records of more than 11 million patients across 8 countries and data from other sectors such as insurance companies and the public sector.

Project iASiS presented at ELSEVIER headquarters

iASiS project coordinator Dr. George Paliouras gave a speech on March, 8 titled Big data for Precision Medicine - The iASiS project at ELSEVIER's headqurters in Amsterdam, The Netherlands.

Dr.Paliouras spoke about the goal of iASiS in turning large amounts of valuable data into a robust evidence base to help pave the way for personalised treatment approaches.

Παρουσίαση των Google DNI Projects: OpJ & Storybot

Τα δύο ερευνητικά έργα Google DNI του Εργαστηρίου SKEL παρουσιάστηκαν στο Ινστιτούτο Πληροφορικής & Τηλεπικοινωνιών.
Ο Μιχάλης Βαφόπουλος παρουσίασε το έργο Open Journalism ενώ ο Γ.Γιαννακόπουλος το έργο StoryBot.

OpJ - Open Journalism

Ομιλητής: Μιχάλης Βαφόπουλος
Το έργο OpJ έχει ως στόχο να ενισχύσει την επαναχρησιμοποίηση των ανοικτών οικονομικών δεδομένων από τους δημοσιογράφους μέσω των εξής εργαλείων:
(α) αναζήτηση στις δημόσιες συμβάσεις, (β) πρόσβαση με ένα κλικ στην αρχική πηγή δεδομένων και (γ) εμπλουτισμό των ειδήσεων με ετικέτες δεδομένων.

New Year 2018 celebrated with traditional cake cutting

MSc Data Science participants celebrated the new year by cutting the traditional New Year cake at NCSR Demokritos premises.

On Friday 12 January 2018, Dr. Vangelis Karkaletsis, member of the MSc Committee from NCSR Demokritos, welcomed students and teachers from both institutions and performed the traditional new year cake cutting.

Student Anna Spyropoulou found this year's lucky charm and was the winner of the prize.

ΟΜΙΛΙΑ: Health Bank - A Workbench for Data Science Applications in Healthcare

Abstract

Healthcare has many challenges in form of monitoring and predicting adverse events as healthcare associated infections or adverse drug events. All this can happen while treating a patient at the hospital for her disease. The research question is: When and how many adverse events have occurred, how can one predict them? Nowadays all information is contained in the electronic patient records and are written both in structured form and in unstructured free text.

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