Database technology remains underused in science, especially in the long tail—the small
labs and individual researchers that collectively produce the majority of scientific output …

Large-scale visualization systems are typically designed to efficiently “push” datasets
through the graphics hardware. However, exploratory visualization systems are increasingly …

We present a synthetic information and modeling environment that can allow policy makers
to study various counter-factual experiments in the event of a large human-initiated crisis …

Modern scientific applications such as fluid dynamics and earthquake modeling heavily
depend on massive volumes of data produced by computer simulations. Such applications …

To respond to the serious threat of pandemics (eg 2009 H1N1 influenza) to human society,
we developed Indemics (Interactive Epidemic Simulation), an interactive, data intensive …

Data analysis tasks at an Ocean Observatory require integrative and and domain-
specialized use of database, workflow, visualization systems. We describe a platform to …

Scientists' ability to generate and store simulation results is outpacing their ability to analyze
them via ad hoc programs. We observe that these programs exhibit an algebraic structure …

In this paper, we investigate a new approach to process queries in data stream applications.
We show that reference locality characteristics of data streams could be exploited in the …

Many scientific and engineering fields produce large volume of spatiotemporal data. The
storage, retrieval, and analysis of such data impose great challenges to database systems …

We address the problem of performing efficient spatial and topological queries on large
tetrahedral meshes with arbitrary topology and complex boundaries. Such meshes arise in …