Research Council Members

Administrative Officer (Chair):  
Director of Research and Sponsored Programs, Megan Roth


Represent Member Expiration: Spring of Replacing
CBSDale Bertram2018Tim Sensing
CASSuzie Macaluso2018Mikee Delony
CEHSAndrew Huddleston2018Matthew Garver
COBAKyle Tippens2016Alfa Nyandoro
HonorsVic McCracken2017Mark Cullum
At-LargeVernon Williams2016Lynette Austin
At-LargeWayne Paris2017Sonny Guild
At-LargeLauren Lemley2017Melissa Atkinson


Represent Appointed Expiration: Spring of Replacing
Ag and Env. ScienceEd Brokaw2018Jim Cooke
BiologyJennifer Hudleston2016Josh Brokaw
Chem./Biochem.Greg Powell2018Sarah Lee
MathematicsConnie Yarema2017John Ehrke
Engineering and PhysicsDarby Hewitt2017Michael Daugherity
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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