Administrative Approval Process

Prior to submitting a grant proposal to or entering into a contract or cooperative agreement with any external agency , the proposed funding request must be approved by the University. This is a relatively simple process, though the review can take some time. In particular, the Legal Office must review all relevant Certifications and Assurances or  other contractual obligations. These are essentially any “strings” which the funding agency may place on ACU should an award or agreement be accepted. This is sometimes a very brief process, but it can also take a great deal of time. It is therefore very important that the administrative review process be initiated in a timely manner.

Tips for the Administrative Review Process:

  1. As soon as a definite decision is made to apply for external funding, contact Megan Roth in ORSP. The legal review of certifications and assurances can be conducted well in advance of submission. This will ensure that there is enough time to conduct an adequate legal review. Further, should there be problems in this area, it is far better for this to be identified as early in the process as possible than to make this discovery after a great deal of work has been invested in the project.
  2. At least 2 weeks prior to the deadline for grant submission or prior to signing any contracts or agreements, submit the External Funding Submission Approval Form to ORSP, with the signatures of the Chair and Dean attached.

External Funding Approval Form

NEH Summer Stipends Application Process

If you anticipate applying for or receiving a gift, rather than a grant or contract, please contact Vicki Britten in the Advancement Office to notify them of the application and/or the gift.

Tool: What is a gift versus grant versus contract versus cooperative agreement?

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.

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