We have developed new analysis and visualization methods
for extracting scientific information from time series
data, images, and 3D (and higher dimensional) surveys
of stellar and galaxy positions.  These methods have been
applied to a number of NASA and other data bases, and applied
in a variety of contexts, through programs including the
Gamma ray Large Area Space Telescope (GLAST), the Applied
Information Systems Research Program, the NASA Engineering
and Safety Council (NESC), the Center for Applied Mathematics
and Computer Science, the UCLA Institute for Pure and Applied
Mathematics, and Puresense, Inc. I will summarize the data
analysis techniques and briefly describe programmatic issues.