ACU Internal Grants

Student Grants

ACU students may earn stipends for research or creative work conducted under the guidance of a faculty mentor as part of a grant from the Office of Undergraduate Research or the Honors College. To be eligible for a research stipend, the student must make arrangements with a faculty member and be listed as a Research Assistant on that faculty member’s grant application. See below for specific requirements on faculty grant opportunities.

Faculty Grants

ACU offers a number of grant opportunities to faculty who do scholarly research or creative work. Faculty members may submit one internal grant proposal per year.

Cullen Grants
Cullen Grants are designed to provide summer support for faculty to pursue scholarly research or creative activity. Eligible faculty include all full-time faculty except for those in the Physical Sciences and Mathematics.

Math-Science Grants
Math-Science Grants are designed to provide summer support for faculty to pursue scholarly research or creative activity. Eligible faculty include all full-time faculty in the Physical Sciences and Mathematics.

Pursuit Grants
The purpose of the competitive Pursuit Grants program is to provide funding to support student and faculty research, and to promote research presentation and publication. The Pursuit Research Grants are in the 5th and final year of the QEP program and will not be open for funding in the 2015-2016 academic year.

Undergraduate Research Summer Student Stipend Grants
The purpose of this grant is to encourage participation of undergraduate students in faculty-mentored summer research projects. Any faculty member may apply for up to $1,500 to support a student research assistant.

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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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