Each year, the Center for Cognitive and Brain Sciences offers an exciting funding opportunity for Center members to develop tangible resources that can be shared by the research community at OSU and at large. This may include software packages, data bases, data archives, virtual machines, or other resources that further the Center’s mission of advancing the study of mind, brain, and formal models of cognitive processes across disciplines.
Successful proposals outline activities that will significantly contribute to the acquisition of knowledge that improves the human condition while increasing the visibility of the Center nationally and internationally. The Center may select up to two awards per year, each with a maximum of two years and a maximum budget of $75,000 per year.
The annual call for proposals will be announced in July. Proposals will be posted on Carmen and Center members will be invited to view and comment upon submissions anonymously. The proposal with the most merit will be invited to provide a full proposal. Final funding decisions will be made by the end of the year.
How to apply:
Researchers should email a completed application to email@example.com during the call for proposal window in July.
The CCBS Proposal Application includes the following components:
- Resource Description
- Describe the sorts of research questions this resource will help address
- Describe how this resource would be sustained and utilized in order to develop new resources
- Proposed Budget with brief explanation
- Proposed Total Budget
- Duration of the Project
- Describe how this resource would impact the CCBS
- Describe how this resource would impact other departments and programs at OSU
- Describe how this resource would impact institutions external to OSU
Each component should be no longer than 250 words.
Congratulations to our past winners:
2015 – Aleix Martinez (Electrical and Computer Engineering) and Dylan Wagner (Psychology), Neuroimaging and video databases for the study of naturalistic vision, language processing and social cognition.
2014 – Per Sederberg (Psychology), SMILE: State Machine Interface Library for Experiments.
2013 – Cynthia Clopper (Linguistics) and Laura Wagner (Psychology), A Large-Scale Cross-Sectional Investigation of Dialect Acquisition.