We invite papers reporting original research in all aspects of Data Science and Databases. Topics of interest include, but are not limited to: 
Databases
Transaction Processing, Query Processing, Indexing and Storage, Distributed Data Platforms, Key Value stores, Big Data systems, Data Cleaning, Data Analytics, Data Integration, Benchmarking, Tuning and Testing
Data Science
Classification and regression, parallel and distributed learning, semi-supervised and unsupervised learning, matrix and tensor methods, graph mining, reinforcement learning, dimensionality reduction, deep learning, Bayesian methods, time series analysis, optimization, and graphical models.
Applications
Text analytics and NLP, information retrieval, social network analysis, recommender systems, online advertising, bioinformatics, computational neuroscience, systems biology, multimedia processing, crowdsourcing, education, robotics, technology for emerging markets.
Case Studies
For the conference’s industry track we invite papers reporting descriptions of deployments of database and science solutions in industry and government that address real-world challenges and highlight new and important research directions for data science. These case studies could be drawn from areas such as, but not limited to, education, transportation, real-estate, manufacturing, finance, retail, healthcare, e-commerce, telecommunications, social media, law, public policy, and computational advertising.