Thank you for visiting Sponsored Research Services, the RIT community's information resource for externally funded projects.
NYSERDA Electric Vehicle Technology Information SessionElectric Vehicle Enabling Technology Demonstration Program An information session about this program is scheduled for Friday, September 20 from 10 a.m. - 11 a.m. in 87-3200. Please RSVP with Brian Duddy at bjdsrs@rit.edu. |
Microsoft Faculty Research Fellowship ProgramThe Microsoft Faculty Fellowship recognizes innovative, promising new faculty members conducting computing research in key areas of national need. The fellowship includes a cash award and access to other Microsoft resources, such as software, invitations to conferences, and engagements with Microsoft Research staff. Microsoft awards seven Research Faculty Fellowship grants each year; awardees are selected in April. RIT may only nominate one individual for this program. |
Registration for Grant Writers' Boot CampThe Grant Writers' Boot Camp is a two day intensive session in the mechanics of persuasive writing and peer review. Participation involves significant pre-work. Attendees will prepare a proposal for seed funding in advance of the boot camp and a limited number will receive awards. |
Instructions for New York State Consolidated Funding Application PreparationThe third round of the New York State Consolidated Funding Application, or CFA, includes $750 million in grants, tax credits and other incentives from 26 programs in 13 state agencies. The overarching aim of the CFA is to improve New York State's business climate and expand economic growth. If your research interests tie with regional economic development in any way, you may want to explore the programs available through the CFA. RIT has two information sessions scheduled: Tuesday, June 18th, CIMS 2120 from 2:00 – 3:30 pm and |
NSF Grant AuditsThe National Science Foundation is using a new approach to identify high risk awardees. In its 2013 plan of work, the NSF Office of Inspector General (OIG) describes its use of “data analytics” to identify high risk grantees to be selected for audit.
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