University of California, San Diego




November 18, 2003


SUBJECT:  Cooperative Agreement on Research and Education (CARE)

UCSD and the Los Alamos National Laboratory are pleased to present

Cooperative Agreement on Research and Education (CARE) Information Session Monday, November 24th

General Campus presentation
10:00- 11:00am (w/30 min Q&A to follow)
Location: CMRR auditorium

Scripps Institution of Oceanography presentation
1:00-2:00pm (w/30 min Q&A to follow)
Location: SIO Sumner auditorium

We invite you to participate in an information session to introduce new opportunities for UCSD researchers through the UCSD/LANL Cooperative Agreement on Research and Education (CARE) Program. Each session will outline the CARE program, highlight the possible research areas, and describe the proposal application process and deadlines.

The CARE program seeks to produce high quality, collaborative, basic research on topics that are strategically important to both UCSD and Los Alamos. In addition, this program will serve to advance the education of undergraduates, graduates, and postdocs by providing a dual-mentoring environment. CARE projects will act as "seed efforts" to establish larger collaborative projects that may in turn be funded by multiple federal agencies.

The program anticipates funding approximately six projects at a level of $120K per year for two years.

The UCSD/LANL CARE committee has selected the following three general research areas for the initial funding cycle and we provide here, examples of specific topics that have been identified by LANL investigators for possible joint collaborations. Faculty with potential topics for collaborative research, not specifically listed but related to the three general headings are also encouraged to attend and to apply.

Sensors and Networks;
a) fieldable bio-sensors, nuclear sensors and sensor networks, imagers
   (e.g., gamma ray detectors)
b) intelligent structural systems (e.g., multi-scale sensing and
c) general nondestructive evaluation (e.g., computational tomography)
d) environmental remote sensing (e.g., for ephemeral and low signature
   events; weak signals in RF-noisy environments)
e) field deployable sensor networks (e.g., addressing power harvesting
f) multi-scale environmental sensing (e.g., over heterogeneous domains)
g) sensor communications, distributed information processing, and
   on-line decision
h) imaging spectroscopy for bio-detection and chemical detection
i) sensor materials

Information and Data;
a) learning theory: ISR-2
b) multi-sensor data fusion: CCS
c) informatics, e.g., bio-informatics:
d) multiscale physical states of materials
e) dimensional reduction and model extraction

Simulation of complex systems;
a) integrated systems analysis for energy security, economics, and climate
b) data assimilation in complex systems, e.g., for fast and/or multiscale
   dynamic states
c) uncertainty in complex systems, e.g., for fast and/or multiscale
   dynamic states
d) techniques in model validation, e.g., data requirements
e) multiscale analysis and coarse graining.
f) model extraction from large data sets.

Please join us to learn more about this important new research and education program. If you have any questions please feel free to contact Marianne Generales (mgenerales@ucsd.edu, x44636).

                                                Richard Attiyeh
                                                Vice Chancellor for Research

                                                John B. Kosmatka
                                                UCSD Chair, CARE Committee