Submitting a Proposal

Different agencies have different requirements for how to submit a funding proposal. Some require little more than an email with the materials attached. Others, such as the federal agencies, require registration with certain submission platforms, such as  or eRA Commons. In addition, they may require that certain institutional officials be the ones who approve and submit the application. Therefore, it is important in these cases to ensure, well in advance of the application due date, that the appropriate individuals are registered on the site and prepared to submit the application. If you have any questions about how to submit your application for funding, please contact the ORSP office.

External Budget Template


Post-award Management

The ORSP office will assist you with your post-award management. If you receive notification that you have been granted a funding award, please contact the ORSP office immediately so that the proper financial accounts can be set up. In addition, ORSP can assist you with budgeting and accounting issues, annual reports, or project close-out.

Time and Effort Reporting

Abilene Christian University (ACU) monitors and documents efforts expended on externally funded projects, whether federal or non-federal in source, in compliance with “The Uniform Guidance” (2 CFR 200) requirements. All project directors and principal investigators for such projects (“PD/PIs”) are required to certify both their effort and that of other persons active on such projects led or supervised by PD/PIs. Effort reporting is required for all externally funded projects, whether federal or non-federal in source, following each academic semester (fall, spring, and summer). Reports must be signed and submitted to ORSP by the 15th of the month following the end of the reporting period (February 15, June 15, and September 15).

Time and Effort Reporting Policy and Form

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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