The explosion of digital data created by mobile sensors, social media, surveillance, medical imaging, smart grids and the like—combined with new tools for analyzing it all—has brought us a Big Data era. We are facing the great challenges: how to deal with data which is more than we could actually understand and absorb and how to make efficient use of the huge volume of data? From both scientific and practical perspectives, research on "Data Science" goes beyond the contents of Big Data. Data Science can be generally regarded as an interdisciplinary field of using mathematics, statistics, databases, data mining, high-performance computing, knowledge management and virtualization to discover knowledge from data. It should have its own scientific contents, such as axioms, laws and rules, which are fundamentally important for experts in different fields to explore their own interests from data.
The "International symposium/workshop on Dataology and Data Science" has been a platform for researchers from data and some practitioners from industry and government to share their ideas, research results and experiences on studying of data. From 2010 to 2013, it has been annually held in China where more than 300 scholars and industrial professionals from Australia, Canada, China, Japan, UK and USA attended.
In order to further expand the preliminary findings and exchanges on this platform, the First International Conference on Data Science (ICDS 2014) will be held at Beijing, China, May 27-28, 2014. The theme of ICDS 2014 will be: "Explore New Field of Data Science under Big Data Era".
The main topics, but not limited to, are as follows:
1) Mathematical Issues in Data Science
2) BIG DATA Issues and Applications
3) Case Study of Data-Intensive Scientific Research Paradigms
4) Evaluation and Measurement between Data Objects
5) Data Mining on Network
6) Social impacts by Data Science
7) Scientific Research with Data Method
We will invite well-known international scholars and professionals in various related fields, both natural and social sciences, to join us for the development of Data Science at this conference and so on to fully explore methodologies on Data Science from different research aspects.
1）Research Center on Fictitious Economy and Data Science, the Chinese Academy of Sciences, China
2）Shanghai Key Laboratory of Data Science, Fudan University, China
3）Research Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, Australia
4）School of Management, Xi'an Jiaotong University, China