Analytical reasoning empowered by visual interaction Visual Analytics Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces. -Illuminating the Path: Research and Development Agenda for Visual analytics. IEEE Press (2005)
we make sense out of data through the use of visualization, human centered design and enriched mission data science.
Faster and more accurate insight, discovery and decision support for stronger mission assurance. vision
We’ve been doing Visual Analytics since the 90’s when grunge was cool.
Redefine Visual Analytics Evolving mission areas New data science Emerging modalities
Research Areas Visual Analytics for Text and Media Graph and Network Visual Analytics Predictive Situation Awareness Human Machine Teaming Immersive Computing Cognitive Modelling
Sustain PNNL has over twenty years of experience in developing first-of-a-kind tools that support interactive exploration and discovery in diverse data Visual Analytics for collections, including unstructured text, structured data, image collections, and video. PNNL’s approach combines Text and Media innovations in feature extraction, intuitive visualizations, and interactive support for critical thinking. The resulting tools are used by analysts in both government and industry to assess complex data to make effective decisions.
Sustain Visual Analytics for Text and Media
Sustain Many complex science and security problems can be described in terms of graphs and networks, using nodes and links to represent objects and their Graph and Network relationships. Getting insight from these large and complex graphs requires interactive visualizations that present Visual Analytics the graph features and the results of automated analytics in ways that can be interpreted straightforwardly by users. PNNL’s approach combines intuitive approaches for visual exploration, analysis, and discovery that can be applied to very large graphs in disciplines ranging from security and critical infrastructure protection to bioinformatics and earth science.
Sustain Graph and Network Visual Analytics
Develop Protecting security and critical infrastructure is a 24/7 job, and operations centers must maintain situation awareness to identify issues as Predictive Situation they arise. PNNL’s predictive situation awareness visualizations display meaningful patterns real-time operations Awareness center data in ways that are easy for operators to interpret, providing decision support and rapid insight into emerging conditions.
Develop Situation Awareness
Develop PNNL is at the forefront of developing the next generation of visual analytic systems, which will combine advances in machine learning and artificial Human Machine Teaming intelligence with a new generation of interactive user interfaces to enable users to get insight into more and more complex problems. These new systems will represent a paradigm shift: instead of forcing users to express their questions as a series of queries, the system supports the user and infers her interests from her interactions. The result is that the user can focus on her task and think about her problem, rather than having to continuously translate between her analytic question and her data.
Develop Mixed Initiative Visual Analytic Systems
Explore Immersive Computing is a new multidisciplinary capability to explore future interaction and visualization techniques for simulation, training and Immersive Computing data analytics. Recent advances in immersive technologies like virtual and augmented reality provide us with new opportunities to explore, discover and analyze data that augment current analytic methodologies and decision support. This research will explore the applicability and development of emerging user-interface and display technologies for creating more engaging experiences and seamless work-flows for simulation aand data analysis applications.
Explore Immersive Analytics
Explore Cognitive analytics tries to mimic the human brain by drawing inferences from existing data and patterns, drawing conclusions based on existing Cognitive Modelling knowledge bases and then inserting this back into the knowledge base for future inferences - a self learning feedback loop.
Explore Cognitive Modelling
Software process (also knows as software methodology) is a set of related activities that leads to the production of the software. These activities may involve the development of the software from the scratch, or, modifying an existing system. Engineering Process Software specification Software design and implementation Software verification and validation Software evolution http://www.usabilityfirst.com/about-usability/introduction-to-user-centered-design
The strict application of the scientific method to ensure robust and unbiased experimental design, methodology, analysis, interpretation, and reporting of results. This equates to full transparency in reporting experimental details and is crucial for others to assess, reproduce, and extend the findings. Scientific Rigor The practice of scientific research -- whether quantitative, qualitative, or mixed methods -- demands that the researcher's work is intellectually rigorous, accurate on all points, ethical, and dispassionately executed.
Process of designing a tool, such as a website’s or application’s user interface, from the perspective of how it will be understood and used by a human user. Rather than requiring users to adapt their attitudes and behaviors in order to learn User Centered Design and use a system, a system can be designed to support its intended users’ existing beliefs, attitudes, and behaviors as they relate to the tasks that the system is being designed to support. http://www.usabilityfirst.com/about-usability/introduction-to-user-centered-design
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