The Era of Data Science and Analytics

The twenty-first century has ushered in a new age of data science and analytics. Data-driven scientific discovery is regarded as the fourth scientific paradigm. Data science is a core driver of the next-generation science, technologies, and applications and is driving new research, innovation, profession, economy, and education across disciplines and domains. The so-called new-generation artificial intelligence is mainly driven by data science. Many scientific, natural, and societal systems and challenges involve increasingly bigger data and their capture, creation, storage, search, sharing, modeling, analysis, visualization, management, and applications.

Data science encompasses the areas of statistics, data analytics, machine learning, optimization, and data management. The main role of data science is to make sense of data and convert big data into business value and actionable intelligence so as to transform enterprises, businesses, society, government, and the economy. The area of data science has been evolving quickly, covering issues and areas such as (1) data intelligence, (2) data complexities and characteristics, (3) the business and environment surrounding data, (4) data system infrastructure and architecture, (5) data communication, networking, and interoperation, (6) modeling, analytics, mining, and learning from data, (7) evaluation, optimization, and decision-making, (8) ethics, privacy, and security, (9) data enterprises, services, applications, solutions and systems, and (10) business value, impact, and utility.

DSAA Introduction

The IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA) is fully sponsored by the IEEE through the IEEE Computational Intelligence Society and technically sponsored by ACM through SIGKDD and the American Statistical Association. DSAA was initiated in 2014 as the first IEEE conference dedicated to data science and analytics and received strategic support from the IEEE Big Data Initiative. The IEEE Task Force on Data Science and Advanced Analytics (TF-DSAA) governs the DSAA conferences.

DSAAs have been hosted in Asia, America, and Europe iteratively by experienced high-profile general and program chairs. DSAA provides a premier data science forum that brings together researchers, industry/government practitioners, and end-users of big data for discussion and exchange of original findings, state-of-the-art achievements, and best practices on data-intensive statistics, mathematics, analytics, learning, computing, and informatics and their applications. DSAA sets up a high standard including 10-page submissions in the IEEE double-column format, double-blind review, high-profile general and program chairs, prestigious keynote speeches, a competitive acceptance rate, and the next-generation data scientist award.

DSAA solicits both significant theoretical and practical progress on data science and advanced analytics. DSAA has two main tracks: Research and Application, a series of Special Sessions, and a unique Trends and Controversies session, in addition to a journal track, a student poster track, an industry poster track, tutorials, and a pre-conference industry day with prestigious invited industry talks. DSAA special sessions substantially upgrade conventional workshops to encourage emerging topics in data science while maintaining rigorous paper review and selection criteria.

DSAA is competitively recognized by Google Metrics and conference ranking such as in the category of Theories of Computer Science by the China Computer Federation.