About DEDS

Data is a key asset in modern society. Data Science, which focuses on deriving valuable insight and knowledge from raw data, is indispensable for any economic, governmental, and scientific activity. Data Engineering provides the data ecosystem (i.e., data management pipelines, tools and services) that makes Data Science possible. The European Joint Doctorate in "Data Engineering for Data Science" (DEDS) is designed to develop education, research, and innovation at the intersection of Data Science and Data Engineering. Its core objective is to provide holistic support for the end-to-end management of the full lifecycle of data, from capture to exploitation by data scientists.

DEDS operates under the Horizon 2020 - Marie Sklodowska-Curie Innovative Training Networks (H2020-MSCA-ITN-2020) framework. It is jointly organised by Université Libre de Bruxelles (Belgium), Universitat Politècnica de Catalunya (Spain), Aalborg Universitet (Denmark), and the Athena Research and Innovation Centre (Greece). Partner organisations from research, industry and the public sector prominently contribute to the programme by training students and providing secondments in a wide range of domains including Energy, Finance, Health, Transport, and Customer Relationship and Support.

About The DEDS School

The theme of the school touches upon aspects such as legal definitions of personal data, anonymous data, need-to-know, individuals' rights to their personal data (including EU's GDPR), and legal institutions of recourse.

The school's seminars cover topics such as GDPR in the sciences, privacy and data protection, ethics in data science, open data science, fairness and explainability, along with enabling technologies such as security and privacy techniques, federated learning and blockchain technologies, and so on.

The program comprises an excellent assembly of speakers, both from industry and academia, to talk about the problems, the regulations, and the challenges related to the ethical and legal aspects of data technologies.

speaker
AGGELOS KIAYIAS

Prof. U. of Edinburgh & Chief Scientist IOHK

speaker
GEORGIA KOUTRIKA

Research Director, Athena RC

speaker
DANIELE DELL'AGLIO

Prof. Aalborg University

speaker
MINOS GAROFALAKIS

Prof. TU Crete & Director, Athena RC

speaker
PRODROMOS TSIAVOS

Head of Digital Development and
Innovation at the Onassis Group

speaker
LORA FRAYLING

Data Scientist, Health Data Insight (HDI), UK

speaker
ELLI PAPADOPOULOU

Project Coord. & Product Manager, OpenAIRE

speaker
TOON CALDERS

Prof. University of Antwerp

speaker
NATALIA MANOLA

Managing Director, OpenAIRE

speaker
MANOLIS TERROVITIS

Senior Researcher, Athena RC

speaker
JORGE-ARNULFO QUIANÉ-RUIZ

Principal Researcher, TU Berlin

speaker
NATASA MILIC-FRAYLING

Founder & CEO, Intact Digital Ltd &
Professor Emerita, University of Nottingham, UK

School Schedule

  • Time
    Speaker
    Subject
    Venue
  • 8.00 AM
    Registration
    x
    x
  • 8.45 AM
    Alkis Simitsis
    Welcome + Opening
    Chios Conf. Room
  • 9.00 AM
     
     
    Prodromos Tsiavos
     
     
    AI and the EU acquis: Toward a paradigm shift in regulating technologies in the EU
    Chios Conf. Room
     
     
  • 10.30 AM
    Coffee break
    x
    x
  • 11.00 AM
     
     
    Prodromos Tsiavos
     
     
    AI and the EU acquis: Toward a paradigm shift in regulating technologies in the EU
    Chios Conf. Room
     
     
  • 12.30 PM
    Lunch break
    x
    x
  • 2.00 PM
    Toon Calders
    Introduction to Fairness in ML
    Chios Conf. Room
  • 3.30 PM
    Coffee break
    x
    x
  • 4.00 PM
    Toon Calders
    Introduction to Fairness in ML
    Chios Conf. Room
  • 5.30 PM
    Free time
    x
    x
  • 7.00 PM
    Dinner
    x
    x
  • Time
    Speaker
    Subject
    Venue
  • 9.00 AM
     
     
    Daniele Dell'Aglio
     
     
    Share your data and hide your secrets! A brief introduction to data privacy
    Chios Conf. Room
     
     
  • 10.30 AM
    Coffee break
    x
    x
  • 11.00 AM
     
     
    Daniele Dell'Aglio
     
     
    Share your data and hide your secrets! A brief introduction to data privacy
    Chios Conf. Room
     
     
  • 12.30 PM
    Lunch break
    x
    x
  • 2.00 PM
     
    DEDS Students (multiple)
     
    Project presentations /
    Two parallel sessions
    Chios & Syros
    Conference Rooms
  • 16.00 PM
    Coffee break
    x
    x
  • 4.30 PM
     
    DEDS Students (multiple)
     
    Project presentations /
    Two parallel sessions
    Chios & Syros
    Conference Rooms
  • 7.00 PM
    Dinner
    x
    x
  • Time
    Speaker
    Subject
    Venue
  • 9.00 AM
     
    Minos Garofalakis
     
    Small Synopses for Big Streaming Data: Fast, Accurate, Private(?)
    Chios Conf. Room
     
  • 10.30 AM
    Coffee break
    x
    x
  • 11.00 AM
     
    Minos Garofalakis
     
    Small Synopses for Big Streaming Data: Fast, Accurate, Private(?)
    Chios Conf. Room
     
  • 12.30 PM
    Lunch break
    x
    x
  • 2.00 PM
     
     
     
    Aggelos Kiayias
     
     
     
    Invited Talk 1: Decentralizing Information Technology: The Advent of Resource Based Systems
    Chios Conf. Room
     
     
  • 3.00 PM
     
     
     
    Lora Frayling
     
     
     
    Invited Talk 2: The Simulacrum: Sharing privacy-preserving synthetic data to support healthcare research
    Chios Conf. Room
     
     
  • 4.00 PM
    Coffee break
    x
    x
  • 4.30 PM
    Free time
    x
    x
  • 5.30 PM
    Social Event
    Guided Tour + Dinner
  • Time
    Speaker
    Subject
    Venue
  • 9.00 AM
     
    Georgia Koutrika
     
    Fairness in Algorithmic Systems:
    a Reality or a Fantasy?
    Chios Conf. Room
     
  • 10.30 AM
    Coffee break
    x
    x
  • 11.00 AM
     
    Georgia Koutrika
     
    Fairness in Algorithmic Systems:
    a Reality or a Fantasy?
    Chios Conf. Room
     
  • 12.30 PM
    Lunch break
    x
    x
  • 2.00 PM
     
    Natasa Milic-Frayling
     
    Responsible Innovation and Quality Assurance in Data Science & AI
    Chios Conf. Room
     
  • 3.30 PM
    Coffee break
    x
    x
  • 4.00 PM
     
    Natasa Milic-Frayling
     
    Responsible Innovation and Quality Assurance in Data Science & AI
    Chios Conf. Room
     
  • 5.30 PM
    Free time
    x
    x
  • 7.00 PM
    Dinner
    x
    x
  • Time
    Speaker
    Subject
    Venue
  • 9.00 AM
     
     
    Jorge-Arnulfo Quiané-Ruiz
     
     
    On Democratizing Data Access and Processing: Current Efforts and Open Problems
    Chios Conf. Room
     
     
  • 10.30 AM
    Coffee break
    x
    x
  • 11.00 AM
     
     
    Jorge-Arnulfo Quiané-Ruiz
     
     
    On Democratizing Data Access and Processing: Current Efforts and Open Problems
    Chios Conf. Room
     
     
  • 12.30 PM
    Lunch break
    x
    x
  • 2.00 PM
     
     
    Natalia Manola,
    Elli Papadopoulou,
    Manolis Terrovitis
    FAIR and Open Science practices: creating advantages in the European Research Area
    Chios Conf. Room
     
     
  • 3.30 PM
    Coffee break
    x
    x
  • 4.00 PM
     
     
    Natalia Manola,
    Elli Papadopoulou,
    Manolis Terrovitis
    FAIR and Open Science practices: creating advantages in the European Research Area
    Chios Conf. Room
     
     
  • 5.30 PM
    Closing remarks
    x
    x

Limited Audience Seats

12 Speakers
10 + Countries
50 Seats
5 days event

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