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Alex
L. Bangs
Roles/Partnerships
- Industry role
- Industry should tell academia/government what they want – eg
blue sky projects they cannot afford, will take too long
- Allocate time/resources to programs like GOALI – government/academia
are making the contribution, industry needs to expend resources to take
best advantage of it
- Need help for industry to extend support/resources out into government/academia
(eg if industry has a unique capability/resource)
- Government role
- Government can provide the funding – but also push the agenda
across different groups
- eg for purposes of this workshop the primary entity is CBET inside
NSF, although they may seek allies in government
- Government can bring standards or recommendations – but best
achieved collaboratively
- Facilitating technology transfer
- Opportunity for NSF to look at existing technology/capability – take
something that is sitting in a more academic setting and push it
into industry through SBIR/STTR funding
- eg use this to develop Smart Plant concepts
- May imply that groups like CBET should push for certain areas
for SBIR/STTR focus or even a set aside
- Similar idea for Centers
- Leads to further development/identification of new research challenges
- American Competitive Initiative – may provide some future opportunities
- May be some places where the government can provide expertise if it
cannot provide money
- Support intern programs for PhD students (have them for undergrads)
- Academic role
- Send students out elsewhere for the summer (eg Computer Science
tends to do this)
- Student projects inside industry – eg UK CASE program
- Examples
- Putting postdocs inside industry – having funding go to the
academic group
- GOALI
- Engineering Research Center (ERC)
- Aspen experience
- Academia started the project (Energy Lab at MIT) – the
driver
- Raised $5MM to develop simulation – energy – DOE funded,
started with a small seed but a vision that they could get further
funding
- Advisory group from industry – validation that this was a
valuable effort
- Eventually commercialized
- Primary loser – people that had proprietary systems – but
it was open to them to participate
- NSF Centers – industry contribution of $
- Another example: Project MAC
- Another example: NASTRAN
- Failure modes
- Consortia but industry doesn’t really participate – reports/software
delivered and pile up
- Lack of a specific focus – making the focus too broad
- Disparate time scales for academia/industry
- Lack of long term commitment from industry – getting year-by-year
funding for students vs. a multiyear commitment from a government
program
- Industry feeling that they gave money, did not get back value, couldn’t
really steer the research
- Opportunities with CI
- Cooperation on standards
- Community model for systems biology – pull together disparate
efforts
- Chemical Industry Teragrid Consortium – get university ChemE
programs involved with the Teragrid
- Libraries of applications – and developing interoperability
between applications, workflows, and education on how to best take advantage
of this
- Go beyond looking at applications one on one
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