The International Symposium on Grids and Clouds (ISGC) 2018 in conjunction with Frontiers in Computational Drug Discovery (FCDD) will be held at Academia Sinica in Taipei, Taiwan from 16-23 March 2018, with co-located events and workshops. The main theme of ISGC 2018 is “Understanding Open Data: Challenges and Opportunities in the Deep Learning Era”.

The global move towards an Open science and its Open data policy is bringing its first results in opening access to fast growing base of scientific data. This leads to a new set of challenges for the e-infrastructures expected to be the Open Science foundations. They must deal with new demands in traditional areas of their expertise: increase storage and computing capacity, simultaneous access to different pools and warehouses of scientific data, strong access control for sensitive data and many other things at scale levels of magnitude higher than before.

On top of that, increased amount of accessible Open data brings also new challenges, most notably how to understand and interpret the fast growing base of available scientific data. Machine learning and specifically deep learning techniques are currently the most promising general answers to this challenge. However, to deploy these techniques at scale of global e-infrastructures is a highly challenging task, pushing forwards the limits of technology, management and operation.

The goal of ISGC 2018 in conjunction with Frontiers in Computational Drug Discovery (FCDD) is to create a face-to-face venue where individual communities and national representatives can present and share their contributions to the global puzzle and contribute thus to the solution of global challenges. 

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