IS-ENES3 Data Science Summer School

Organised by the IS-ENES3 consortium, this school aims to increase expertise and skills on theoretical and practical concepts of Data Science, building upon and mainly targeting how to accelerate scientific discovery from data. Early stage researchers will learn how to analyse, visualise and report on massive datasets, in the scientific domain as well as how to apply data-intensive and data-oriented paradigms and solutions to address scientific discovery in climate science.
Driven by the theoretical background provided by domain, data and computer science experts, the school will adopt a hands-on approach for maximising results focusing on the usage of datasets linked to the IS-ENES3 data services. The school will strengthen the individual expertise of the participating climate and computer scientists, as well as, leverage and emphasise the need of collaboration between them, helping early career scientists with different backgrounds to meet and network.

At a glance

What: One week, fully funded Summer School
When: September 1-7, 2022
Where: Athens, Greece
Fee: Free of charge

Important dates

January 2022: Call opens
End of April 2022: Deadline to apply
Mid June 2022: Decision of acceptance sent to applicants
1-7 September 2022: IS-ENES3 Data Science Summer School


The IS-ENES3 Data Science Summer School will be held between 1 – 7 September 2022 physically, at the premises of the National Centre for Scientific Research Demokritos.


The programme

Please find below the draft programme of the IS-ENES3 Data Science Summer School.

Wednesday Thursday Friday Saturday Sunday Monday  Tuesday Wednesday
Morning slot 1 Registration Climate
Data Engineering
S. Kindermann (DKRZ)
Day off Artificial Intelligence
T. Giannakopoulos (NCSR Demokritos)




Morning slot 2

Data Engineering

S. Kindermann (DKRZ)

Data Engineering

S. Kindermann (DKRZ)

Artificial Intelligence
T. Giannakopoulos (NCSR Demokritos)

Artificial Intelligence

T. Giannakopoulos (NCSR Demokritos)



Group presentations
Afternoon labs (13:30-17:00) Group presentations
Keynote sessions EGI
T. Ferrari (EGI)
Social event AI4EU
Y. Ioannidis (NKUA)
Presentation of best projects


How to apply

Applications for the Summer School will open in January 2022 and will close in April 2022.

IS-ENES3 Data Science Summer School Privacy Policy is available here.


Number of participants & Eligibility Criteria

The number of participants in the Summer School is limited to 40 persons; with this compact group we want to create a committed ‘community’ that will help each other during this School.

The school primarily targets postgraduate students or researchers in related physical and computer sciences. The working language will be English. If the number of applications exceeds the maximum number of participants, participants will be selected according to the following criteria:

Accommodation & Meals

The accommodation and meals of the students will be fully covered by the IS-ENES3 project. Please note that particpants are required to make their own arrangements and pay for their travel.

Meet the Tutors

The tutors of the IS-ENES3 Data Science Summer School are the following:

Machine/Deep learning (AI)

Theodoros Giannakopoulos – NCSR Demokritos

Climate sciences, Environment

Christian Pagé – CERFACS

Data engineering (DataEng)

Stephan Kindermann –DKRZ

Complete use-cases / applications (Apps)

Enrico Scoccimarro – CMCC
Francesco Immorlano – CMCC
Giovanni Aloisio – CMCC

Tiziana Ferrari

FAIR/RDA/Open data
Yannis Ioannidis – NKUA


EuroCC (EuroHPC)

Contact us with your questions


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