Due to the global COVID-19 pandemic, IEEE DSS-2021 will be held in the form of hybrid event (online & in-person).

In parallel with Petrol as a driving resource in this world, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Gradually and steadily, it is being world-wide recognized that data and talents are playing key roles in modern businesses.

As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing, etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels, such as smart devices, web, mobile and social media.

Data Systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raising and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need.Extended versions of selected best papers will appear in SCIE-indexed international journals, such as IEEE Transactions on Intelligent Transportation Systems (IF: 6.492), IEEE Transactions on Network Science and Engineering (IF: 3.894), IEEE/ACM Transactions on Computational Biology and Bioinformatics (IF: 3.710), IET Communications (IF: 1.542), International Journal of Distributed Sensor Networks(IF:1.640), Building and Environment(IF:6.456), Security and Communication Networks (IF:1.791), and MDPI Electronics (IF: 3.576).

DSS (Data Science and Systems) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy. 2021 is the 7th event following the success in 2015 (DSDIS-2015), 2016 (DSS-2016), 2017 (DSS-2017) ，2018 (DSS-2018), 2019 (DSS-2019) and 2020 (DSS-2020).

DSS-2021 will be hosted in Haikou. Haikou is the capital city of Hainan Province which locates in southernmost part of China with the land area of 2284.49 square kilometers and the sea area of 861.44 square kilometers. Haikou is a tropical island city and comprises Hainan Island(part), Haidian island and Xinbu island. Haikou has a comfortable climate and first-class ecological environment, thus it is a world-renowned resort that attracts many people to visit each year.

Prospective authors are invited to submit their papers to DSS-2021. All accepted papers are expected to be included in IEEE Xplore and will be indexed by Engineering Index (EI). The authors of selected best papers will be invited post conference to extend their contributions for special issues of prestigious journals to be planned in conjunction with the conference.

Scope and Topics:

Topics of interest include, but are not limited to:

I. Data Science

• Foundational Theories and Models of Data Science
• Data Classification and Taxonomy
• Data Metrics and Metrology
• Data Analytics
• Social Network Analysis and Mining
• Security, Privacy and Trust in Data

II. Data Processing Technology

• Data Representation and Processing
• Machine Learning and Deep Learning
• Graph Neural Networks
• Semi-Supervised and Unsupervised Learning
• Statistical, Mathematical and Probabilistic Modeling and Theories
• Information Retrieval
• Data Visualization

III. Data Systems

• Storage and File Systems
• High Performance Access Toolkits
• Compiler and Runtime Support
• Real-time Data Intensive Systems
• Multi/Many-Core Platforms
• Big Data and Cloud Computing

IV. Data Applications

• Business and Finance Applications
• Industrial Data Applications
• Bioinformatics Applications
• Healthcare and Medical Services
• Applications in Soil and Water
• HPC Systems for Data Applications
• Future Data Applications

All papers need to be submitted electronically through the conference submission website https://edas.info/N28861 with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts).

Manuscript Templates for Conference Proceedings can be found at:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html

Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference.

 DSS 2020, Fiji

 DSS 2019, Zhangjiajie, China

 DSS 2018, Exeter, UK

 DSS 2017, Bangkok, Thailand

 DSS 2016, Sydney, Australia

 DSDIS 2015, Sydney, Australia