A primary responsibility of the Office of Research and Sponsored Programs is to assist faculty and staff in their pursuit to obtain external funds to support scholarly research and projects. This is typically a multi-step process which involves:
- Finding a funding agency
- Writing the grant proposal, contract, or cooperative agreement
- Gaining internal approval to submit the proposal or enter into a contract or agreement
- Submitting the proposal
- Post-award management
Note: links to the above items are located on the left side of the screen.
Additional information with regard to each of these steps is available by clicking on the respective links on this page. However, every situation is unique, and the various steps of the grant seeking process ranges from very simple to very complex. In most cases, the grant seeking process should begin 6 months to 1 year prior to the anticipated date of actually needing the award.
You are encouraged to contact the ORSP staff when you first consider seeking external funding. They can help answer questions you may have, and help guide you through the various steps, including the administrative review and approval process.
New in Reasearch
Dr. Ryan Jessup, Assistant Professor of Marketing
Dr. Jessup is interested in decisions. What causes people to choose poorly? How do learning and contextual factors influence choice? In seeking to answer these questions, his research uses psychological models of motivation to distill the computational properties of decision making. Computational modeling enhances research by requiring precision in theory formulation and constraining predictions.
One of Dr. Jessup’s primary streams of research concerns the behavioral differences between decisions when options are completely described vs. decisions when options must be learned about via experience. Prior research found that individuals choose quite differently between the two paradigms but the reasons underlying the difference are poorly understood. One of Dr. Jessup’s studies demonstrated that the reception of feedback overwhelms descriptive information, driving the behavioral differences between paradigms. This work has led him and his colleagues (including Dr. John Homer and undergraduate researcher Allison Phillips) to build a new model that merges sophisticated decision making mechanisms with reinforcement learning in order to successfully predict behavior in both paradigms better than existing models. Dr. Jessup has previously received Cullen awards for this work and is currently seeking external funding to continue this fascinating line of research.