Annals of Data Science (AODS) publishes cutting-edge research findings, experimental results and case studies of data science. Data science can be regarded as interdisciplinary techniques, including statistics, artificial intelligence, and optimization in Big Data processing and data mining for decision making. AODS encourages contributors to not only explore the theoretical bases of data science, but also address challenging problems in data science applications, such as finance, healthcare, climate changes, etc. In addition, AODS promotes the papers in discovering knowledge from heterogeneous data in big data environment, artificial intelligent algorithm research, computing power networks as well as the digital economy problems.