As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, data mining, optimization, information retrieval, databases, cloud computing, social science, network science, computer vision, natural language processing, etc. Data Science is on the essence of deriving valuable insights from data. With the continuing data explosion in many fields, such as sciences and engineering, finance, media, online information resources, it is necessary to develop data intensive systems to process such large volumes of data. This brings up many research issues, in forms of capturing and accessing data effectively and efficiently, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. 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.

The 9th IEEE International Conference on Data Science and Systems (DSS-2023) is the next event in a series of successful events, i.e., DSDIS-2015, DSS-2016, DSS-2017, DSS-2018, DSS-2019，DSS-2020, DSS-2021 and DSS-2022. The main conference will 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.

Prospective authors are invited to submit their papers. 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.

For more information, including a detailed Call for Papers, please navigate the site using the buttons located in the left column.