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Data Science & Technology


The Data Science and Technology (DST) Department delivers innovative methods for solving data-intensive science problems. DST activities range from basic and applied research to deployment of software tools. Our projects span a diverse set of activities, including: data management; data movement; statistical, topological, and geometric analysis/analytics; computer vision; visualization; user-interface design; usability; end-to-end data-intensive system architecture and deployment. We focus on conceiving, developing, and applying leading-edge, innovative methods for solving data-intensive science problems. Our multidisciplinary teams are engaged on projects in five primary mission areas: Scientific workflows and data analysis algorithms and framework, Data synthesis, management, movement, and curation of large and complex datasets, User-centered design of interfaces and software, and Exascale data analytics and visualization capabilities

Department Head: Deborah Agarwal

»Additional information about the Data Science & Technology Department


Data Analytics & Visualization

  Group Leader: Wes Bethel » Visit the Data Analytics & Visualization Group site. Data Analytics and Visualization (DAV), led by Wes Bethel. The Data Analytics and Visualization (DAV) group is focused on enabling scientific researchers to achieve knowledge discovery goals through visualization and analysis. We develop new capabilities in high performance and data-intensive visualization, analysis, and related (data-intensive) technologies. All our scientific collaborators… Read More »


Scientific Data Management Research Group

The Scientific Data Management (SDM) group develops technologies and tools for efficient data access and storage management of massive scientific data sets. We are currently developing storage resource management tools, data querying technologies, in situ feature extraction algorithms, along with software platforms for exascale data. The group also works closely with application scientists to address their data processing challenges. These tools and application development activities are backed by active research efforts on novel algorithms for emerging hardware platforms. Read More »


Usable Software Systems

The User-Centered Systems Group is focused on usability aspects of computational and data analysis systems. UCS researchers are involved in three primary research and development mission areas: 1) User-centered design processes that work in scientific environments; 2) Usable scientific workflow tools and data abstractions, and; 3) Intuitive interfaces to explore, analyze, process data and run computations on HPC and distributed systems. Read More »


Integrated Data Frameworks

The Data Intensive Systems Group is focused on integrated high-throughput simulation environments in three primary areas: 1) Research and development of data processing and analytics algorithms and pipelines for moderate-scale observation and simulation environments; 2) Optimization of data movement and management, which utilizes next generation networking and data management solutions, and; 3) Optimizing and modeling of scientific workflows. Read More »