Summer School - Big Data Analysis in Earth Sciences 2015, 31 August - 4 September 2015, Rhodes island, Greece

Publish Date: Jul 02, 2015

Deadline: Jul 31, 2015

Event Dates: from Aug 31, 2015 12:00 to Sep 04, 2015 12:00

EarthBiAs2015 is organized by the School of Sciences of the University of the Aegean, in collaboration with Global Network for Environmental Science and Technology (GNEST). It is an international Summer School in Big Data Analysis in Earth Sciences and will be held in Rhodes from 31st of August to 4th of September 2015.

The term “Big Data” refers to various forms of large amounts of data, which requires specific computing platforms for their analysis.


In this new era of data-intensive systems and demand for evidence-based decisions/actions upon critical societal challenges, it is more than essential to building new curricula shaping the future BIG DATA experts. New value chains of OPEN, LINKED and BIG DATA management, analysis, and processing have been created, in order for businesses and public administrations to exploit this new potential. Consequently, reformation and restructuring of business processes in both domains have evolved in the creation of new positions striving out for data scientists or to be more precise BIG DATA experts.

The challenges on OPEN, LINKED and BIG DATA include acquisition, curation, storage, searching, sharing, transferring, analysis, and visualization. 

EarthBiAs2015 Covered Topics

EarthBias 2015 Summer School program provides a unique opportunity to the participants to interact with scientists from the University of the Aegean and others, distinguished institutions domestically and abroad. Issues related to real environmental applications will be addresses interdisciplinary with the use of Data Analysis, Information technology, and Mathematics.

The individual sections derived from planning lectures, workshops, and round tables, are related to big data systems, to flexible and dynamic structures that can meet future requirements, to sensors and software, to statistical methods, and to their implementation for the analysis and simulation of environmental systems. Emphasis shall be given to practical applications and ICT tools that aid analysts in gaining useful knowledge of their data. Participants will join forces in order to implement a real-world big data analysis project, in order to strengthen their skills.

The topics covered by the Summer School are:

  • Understanding the specific characteristics of Big Data
  • Database Systems
  • Analysis of multi-dimensional data
  • Data and Web Mining
  • Mathematical models for data mining
  • Data management and analysis
  • New technologies and software
  • Application of all the above in simulation examples of different environmental systems

Follow EarthBiAs2015 on: Facebook, Twitter

Media Sponsor: Greek Travel Pages 

Registration - Fees

The EarthBiAs2015 Summer School program is planned to attract postgraduate students, researchers and professionals from the fields of Natural Sciences, Engineering, Computer Science and Information, and Communication Technology. Successful candidates must show a promising academic or business track in the scientific areas of the Summer School. 

The fees for every student cover:

  • Access to all lectures, workshops, and round tables
  • Access to electronic material
  • Wi-Fi coverage
  • Students’ bag
  • Access to coffee breaks and lunch
  • Participation in the official dinner and the welcome reception
  • Access to all Social Events

There are registration types:

Registration Type Date Postgraduate students and
Ph.D. candidates
Postdoc researchers 
and Professionals
  Early-bird Registration      30 June 2015   200,00 € 250,00 €
Regular Registration  31 July 2015   250,00 € 300,00 €

The maximum number of participants is 25.

A certificate of attendance will be awarded to the participants who will attend the program successfully. The certificate will also provide them with 3 ECTS credits.

Registration is open until 31/07/2015. Register here

Quick Tips !!!

1. The accommodation is extra and the students can choose between plenty of hotels.

2. Try to make your travel arrangements (air tickets, ship tickets, hotels) as soon as possible in order to achieve lower prices. The sooner you register the earlier you get the acceptance notification!

3. The participants have to have their own laptops.

Date & Time
Type Instructors Lecture Title Theme Institution Country
Mon 31 Aug            
9:00-9:30 Welcome Reception and Registration
9:30-11:30 Lecture Demetris Lekkas Big data in environmental systems Big Data Management ASES - University of the Aegean Greece
coffee break
12:00 - 14:00 Lecture Ismael Caballero Big Data and Information Management Big Data Management UCLM UK
16:00 - 18:00 Lecture Souleiman Hasan Crowdsourcing Approaches to Big Data Curation for Earth Sciences Big Data Management Insight Centre for Data Analytics Ireland
18:00 - 19:00 Round Table Harris Alexopoulos Big, Open, and Linked Data Applications on Earth Systems ISL - University of the Aegean Greece
Tue 1 Sept            
9:30-11:30 Lecture Souleiman Hasan Dealing with Variety in the Internet of Things Big Data Management Insight Centre for Data Analytics Ireland
coffee break
12:00 - 14:00 Lecture Pechlivanidis Ilias Analysis and Simulation of Environmental Systems Big Data Analysis SMHI Spain
16:00 - 18:00 Workshop Ismael Caballero Hands-on Big Data Analysis Big Data Analysis UCLM Spain
18:00 - 19:00 Round Table Kostas Mammas Big Data Analysis (R, Hadoop, Virtual Clusters) on European Climate Assessment Dataset & EUROSTAT Big Data Analysis Econometrician Statistician Consultant RnD - IRI  
Wed 2 Sept            
9:30-11:30 Workshop Pechlivanidis Ilias Tools and Examples, Sensitivity analysis and uncertainty Big Data Analysis SMHI Sweden
coffee break
12:00 - 14:00 Workshop Kostas Mammas Big Data Analysis (R, Hadoop, Virtual Clusters) on European Climate Assessment Dataset & EUROSTAT Big Data Analysis Econometrician Statistician Consultant RnD - IRI  
16:00 - 18:00 Lecture Manolis Maragoudakis Data VISUALISATION methods and tools Big Data Analysis University of the Aegean Greece
18:00 - 19:00 Workshop Manolis Maragoudakis Data Mining Applications and Tools Big Data Analysis University of the Aegean Greece
Thu 3 Sept            
9:30-11:30 Workshop Microsoft (TBC) Azure / Hadoop technologies and application Big Data Analysis Microsoft Greece
coffee break
12:00 - 14:00 Lecture Demosthenes Vouyioukas Wireless Sensor Networks: Architecture, Hardware, Applications and Measurements Big Data Analysis University of the Aegean Greece
16:00 - 18:00 Lecture Kostas Mammas Big Data Analysis (R, Hadoop, Virtual Clusters) on European Climate Assessment Dataset & EUROSTAT Big Data Management Econometrician Statistician Consultant RnD - IRI Greece
18:00 - 19:00 Round Table All Projects Discussion Big Data Management University of the Aegean Greece
Fri 4 Sept     CEST 2015 Conference      
9:30-11:30 Lecture   CEST 2015 Conference - Session on Environmental Data Analysis and Modelling Applications on Earth Systems    

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