Big Data Analysis in Earth Sciences - EarthBiAs2014
EarthBiAs2014 is organised 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 7 to 11 of July 2014.
The term “Big Data” refers to various forms of large amount 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 build 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 restructure 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.
EarthBiAs2014 Covered Topics
EarthBias 2014 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 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 which can meet future requirements, to sensors and softwares, 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 towards 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 softwares
- Application of all the above in simulation examples of different environmental systems
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