text-only page produced automatically by LIFT Text Transcoder Skip all navigation and go to page contentSkip top navigation and go to directorate navigationSkip top navigation and go to page navigation
National Science Foundation Home National Science Foundation - Computer & Information Science & Engineering (CISE)
Information & Intelligent Systems (IIS)
design element
IIS Home
About IIS
Funding Opportunities
Awards
News
Events
Discoveries
Publications
Career Opportunities
See Additional IIS Resources
View IIS Staff
CISE Organizations
Advanced Cyberinfrastructure (ACI)
Computing and Communication Foundations (CCF)
Computer and Network Systems (CNS)
Information & Intelligent Systems (IIS)
Proposals and Awards
Proposal and Award Policies and Procedures Guide
  Introduction
Proposal Preparation and Submission
bullet Grant Proposal Guide
  bullet Grants.gov Application Guide
Award and Administration
bullet Award and Administration Guide
Award Conditions
Other Types of Proposals
Merit Review
NSF Outreach
Policy Office
Additional IIS Resources
Data Sharing for Computational Neuroscience
Research on Data Confidentiality
Other Site Features
Special Reports
Research Overviews
Multimedia Gallery
Classroom Resources
NSF-Wide Investments

Email this pagePrint this page

Discovery - Video
A New Vision for Scientific Visualizations

An interview with Juliana Freire, one of the creators of VisTrails, a data visualization program. In recent decades, researchers have used computers to build complex visualizations based on large data sets to gain a better perspective on their research. Programming a computer to produce these visualizations is not an easy task, however. And as the amount of data collected in our world grows, the challenge of organizing all that information into an accurate and cohesive picture becomes even more difficult.

Enter VisTrails, an NSF-supported suite of visualization tools developed by Juliana Freire and Claudio Silva, both associate professors of computer science at the University of Utah. VisTrails makes it much easier for scientists to create complex visualizations, data mining and other types of large-scale data analysis applications by taking automating many of the difficult and time-consuming backend work that goes into producing them.

Credit: National Science Foundation; edited by Mike Sosinski

Back to article

Related media icon
This video requires the free Brightcove Video Cloud plug-in

 



Email this pagePrint this page
Back to Top of page