Visual Analytics Visual Analytics is the science of analytical - - PowerPoint PPT Presentation

Visual Analytics

Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces. Analytical reasoning empowered by visual interaction

• Illuminating the Path: Research and Development Agenda for Visual analytics. IEEE Press (2005)

we make sense out of data through the use

• f visualization,

human centered design and enriched data science.

mission

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

Visual Analytics for Text and Media

PNNL has over twenty years of experience in developing first-of-a-kind tools that support interactive exploration and discovery in diverse data collections, including unstructured text, structured data, image collections, and

• video. PNNL’s approach combines

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

Graph and Network Visual Analytics

Many complex science and security problems can be described in terms of graphs and networks, using nodes and links to represent objects and their

• relationships. Getting insight from these

large and complex graphs requires interactive visualizations that present 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

Predictive Situation Awareness

Protecting security and critical infrastructure is a 24/7 job, and

• perations centers must maintain

situation awareness to identify issues as they arise. PNNL’s predictive situation awareness visualizations display meaningful patterns real-time operations center data in ways that are easy for

• perators to interpret, providing

decision support and rapid insight into emerging conditions.

Develop

Situation Awareness

Develop

Human Machine Teaming

PNNL is at the forefront of developing the next generation of visual analytic systems, which will combine advances in machine learning and artificial 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

• f 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

Immersive Computing is a new multidisciplinary capability to explore future interaction and visualization techniques for simulation, training and data analytics. Recent advances in immersive technologies like virtual and augmented reality provide us with new

• pportunities 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 Modelling

Cognitive analytics tries to mimic the human brain by drawing inferences from existing data and patterns, drawing conclusions based on existing 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. Software specification Software design and implementation Software verification and validation Software evolution

Engineering Process

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. 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.

Scientific Rigor

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 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.

User Centered Design

questions?