1. Science engagement: identifying priorities
Vincenzo Capone
Business Development Officer
GÉANT
TNC16
Prague, 14 June 2016

2. Topics Target the “long tail” What the NRENs can do
Increase liaison opportunities (Task Force)
Community-specific workshops
Attendance to users’ events
“Get into” the science
What the users can do
Liaise with campus/local IT people
Allocate funding
Training (acquire or increase IT/networking skills)
Recruiting (hire IT/networking people)
“Help us to help you”
Closing the gap

3. Switching from local/individual to distributed research models
The “long tail”
New-comers
Switching from local/individual to distributed research models
New ways of sharing knowledge
E-learning
Digital libraries
Innovative research tools
Lots of community and science collaborations are still beyond our reach

4. The gap NRENs and scientists lack a common ground
Scientists are not fully aware of the capabilities of distributed computing and high-speed networks
Network people don’t know enough about science

5. What the RENs can do

6. Increase liaison opportunities
Provide a space where the two communities can exchange information and get mutual awareness
Community-specific workshops
Attendance to users’ events
Not all communities are created equal
E.g.: Life science researchers have different needs than climate scientists
Helps to create a (human) network and to get a deeper knowledge of what scientists do

7. Have some science-savvy people on board
“Get into” the science
Have some science-savvy people on board
Get involved in the science collaborations
Consider a “science networking advisor” job role

8. What the users can do

9. Involve campus/local IT people Allocate funding for
What users can do
Involve campus/local IT people
Allocate funding for
training (acquire or increase IT/networking skills in the team)
recruiting (hire IT/networking people)
“Help us to help you”
Consider e a “scientific computing researcher” job role

10. Working together to influence each other’s party
Closing the gap
A “scientific network advisor” and a “science computing researcher” will be much closer
More likely to understand each other
Working together to influence each other’s party
Innovative network services to better serve the users
New scientific models to exploit the technological opportunities