Trustworthy Computational Science Speaker Series: Robert Sisneros
Robert Sisneros, senior research scientist at the National Center for Supercomputing Applications, will present "Browser-Based Analytics: The Practical Reality and Developing Robust, Reliable, and Reproducible Analyses in Spite of It."
Abstract: Deploying a dashboard interface to a database is pretty straightforward; make a few tables that correspond to charts, and you’re done. But that’s only the first request. Creating a series of reliable, dynamic, interconnected charts for exploration and analysis is more than difficult with just a few tables, and in my experience understanding even the structure of the data can be challenging. In this talk, I will introduce the Researchable Archives for Interactive Visualizations (RAIV) project. RAIV is a tool to capture and archive web visualizations, including their interactions, into self-contained objects which have many potential uses. I will first motivate the design through an outline of some of the many pitfalls I encountered first when delivering production analytics and then when I attempted to shoehorn an analytics library into a system with a familiar, scientific visualization data model.
Robert Sisneros is a senior research scientist at the National Center for Supercomputing Applications and specializes in scientific visualization and data analysis. His research interests in I/O and visualization are primarily aligned with issues of particular importance to high performance computing. These include in situ visualization, data models and representations, parallel analysis algorithms, I/O parameter optimization, and "big data" analytics. Sisneros earned the degrees of Bachelor of Science in mathematics and domputer science from Austin Peay State University and the degrees of Master of Science and Doctor of Philosophy in computer science from the University of Tennessee in Knoxville.
This series, open to the public, is hosted by the Center for Informatics Research in Science and Scholarship (CIRSS). For the Spring 2024 schedule and access to previous talks, visit the Trustworthy Computational Science website. If you are interested in this speaker series, please subscribe to our speaker series calendar: Google Calendar or Outlook Calendar.
Questions? Contact Janet Eke
This event is sponsored by Center for Informatics Research in Science and Scholarship