Computational & Statistical Analytics
PNNL has been advancing computational and mathematical foundations to enable next-generation technologies for over two decades. We build multi-disciplinary teams, utilizing the best solutions and brightest minds to address our nation's greatest challenges.
Computational & Statistical Analytics Division capabilities are organized into five areas:
- Analysis & Operations
- Applied Statistics & Computational Modeling
- Data Sciences & Analytics
- Software Engineering & Architectures
- Visual Analytics
Volkova Speaks on Social Media Users at GHC
Svitlana Volkova presented "Predicting User Demographics, Emotions and Opinions in Social Networks" at the recent Grace Hopper Conference. GHC is the world's largest conference of women technologists, boasting more than 15,000 attendees. Svitlana, who is also on the GHC Data Science Committee, coauthored the paper about her research analyzing Twitter users and their tweets, investigating the relationships between the expressed opinions and emotions and users' predicted psychodemographic traits.
Dustin Arendt and Meg Pirrung's poster was one of two winning submissions in the IEEE Visualization and Graphics Technical Committee (VGTC) International Data-Visualization Contest. The annual competition recognizes outstanding design in visualization and visual analytics. Themed "Spatio-temporal Visual Analytics," entries were created using data from ACT, an education readiness assessor. PNNL's entry is titled "Local Competition for Students Creates Unused Capacity." This is the second consecutive year that Dustin's entry has been recognized in this competition.
Best Paper at ETVIS 2016
Leslie Blaha, Dustin Arendt, and Tim Balint's paper "Storyline Visualizations of Eye Tracking of Movie Viewing" was awarded best paper award at ETVIS 2016, The Workshop on Eye Tracking and Visualization. Their research was supported by the Analysis in Motion Initiative.