Our lives and society have been transformed by advances in modern information and communication technologies. Devices such as mobile phones and tablets and applications such as social networks have changed how we interact with the world around us and each other and the way we conduct business, government and science. With computational technologies permeating almost all aspects of human activity the amount of data being generated is constantly increasing and we are surrounded by a wealth of new forms of data. We are at the cusp of a new data and information revolution.
This proliferation of data calls for novel, multi and interdisciplinary approaches in data science and analytics to tackle the problems that data pose. New approaches for harnessing data and drawing insights will bring huge benefits to fields as diverse as health, finance, running smarter cities, the environment, business and public policy.
The First International Conference on Frontiers and Advances in Data Science and Analytics (FAADS) will bring together scientists, professionals, industry practitioners and users from a range of disciplinary backgrounds and application domains to share knowledge and the latest developments in data science and analytics.
We invite the submission of original and previously unpublished theoretical and practical work in all fields of data science and analytics including methodologies and techniques for big data. All submissions will be reviewed by at least two members of the Program Committee on the basis of novelty, technical quality, relevance to the conference theme, significance, and clarity of presentation. Accepted papers will be submitted for inclusion into IEEE Xplore. The IEEE Xplore proceedings will be submitted for inclusion to Elsevier EI for indexing.
We are in the process of arranging special issues in the Journal of Future Generation Computer Systems and the Journal of Information Processing and Management. Selected papers from the conference and special sessions will be invited for submission for the special issues.
FADS welcomes submissions on, but not limited to, the following topics:
Last Updated: 2017-11-08
The conference is technically co-sponsored by the Institute for Analytics and Data Science — University of Essex, UK & RI Computer Chapter, Northwest University, IEEE Xi’an Section, and SAGE Publishing.