  The Grist project (http://grist.caltech.edu/) is developing a grid-technology
based system as a research environment for astronomy with massive and complex
datasets. This knowledge extraction system will consist of a library of
distributed grid services controlled by a workflow system, compliant with
standards emerging from the grid computing, web services, and virtual
observatory communities. This new technology is being used to find high
redshift quasars, study peculiar variable objects, search for transients in
real time, and fit SDSS QSO spectra to measure black hole masses. Grist
services are also a component of the ``hyperatlas'' project to serve
high-resolution multi-wavelength imagery over the Internet. In support of these
science and outreach objectives, the Grist framework will provide the enabling
fabric to tie together distributed grid services in the areas of data access,
federation, mining, subsetting, source extraction, image mosaicking,
statistics, and visualization.
