a cyber-infrastructure science andengineeringworkforce
The NSF should be congratulated
on this very important initiative to train engineers and scientists
on the use and deployment of cyber-infrastructure tools and services.
Cyber-infrastructure (CI) tools like service oriented architectures,
web services, workflow, etc is going to have a profound effect
not only on the way we do science, but will also have many direct
commercial applications in telecommunications networks, process
control, oil and gas, manufacturing, etc. Cyber-infrastructure
may have as big an impact on productivity in the coming decade
as the Internet did in the last. For examples of commercial applications
of CI please see the CANARIE CIIP announcement at http://www.canarie.ca/funding/ciip/guidelines.html
From an article in Science Grid this Week --BSA
Proposals for NSF's
The National Science
Foundation's first Cyberinfrastructure TEAM (CI-TEAM) solicitation
seeks proposals from partnerships of organizations committed to
the preparation of a diverse cyberinfrastructure-savvy science
engineering workforce. Following merit review of all CI-TEAM proposals
received, 10-20 projects will be selected for support that together
address a rich mix of cyberinfrastructure-related workforce dimensions,
and that promise to serve as pathfinders to effective larger-scale
implementation activities in the future.
is an integrated system of information technology-enabled systems,
tools and services that have had a profound impact on the practice
of science and engineering research and education. To harness
the full power of cyberinfrastructure and the promise it portends
for discovery, learning and innovation requires focused investments
preparation of a science and engineering workforce with the knowledge
and requisite skills needed to create, advance and exploit cyberinfrastructure
over the long term.
Each proposal submitted
in response to this solicitation should define a CI-TEAM demonstration
project that is clearly focuses on one or more cyberinfrastructure-related
science and engineering workforce dimensions.
The project should
be designed as a generalizable model with the potential to be
replicated widely and scaled up to a national level, and should
be built on strong science and engineering-focused partnerships
among diverse organizations. Such organizations may include academic
institutions, industry, and not-for profit organizations.