The challenge of “Big Data” continues to grow and is an active area of significant research. This track focuses on techniques, experiences, applications, and lessons learned for large-scale/big data science, data intensive, and data analytics, particularly in the realms of high performance computing that lead organizations through major transformations.  

The symposium is to address, explore and exchange information on the state-of-the-art and practice in the broad multidisciplinary field of Big Data Science.  Participation is extended to researchers, designers, educators and interested parties in all disciplines and specialties

The symposium aims at providing a forum to bring together researchers and scientists to share and exchange big data related research, technologies, experiences, and lessons for building various types large-scale data intensive and data analytics, with interoperability and coordination capabilities in a high performance and high availability setting.  

This symposium solicits contributions that address contemporary and future challenges in big data Science, data analytics, and Data Intensive, particularly in collaboration systems, social networks and media, and information technologies.