Regulations and Ethical Guidelines for the Protection of Human Research Participants

Prior to designing or conducting research in which there are human participants, it is important that all investigators and faculty advisors (when applicable) have sufficient training and knowledge with regard to pertinent federal regulations and ethical guidelines. The NIH Office of Human Subjects Research and The NIH Office of Extramural Research provide relevant information and a recommended online course which may be used to obtain and document basic training. This course takes approximately three hours to complete, and is available at no charge. Click the links below to access the information and course.

NIH Office of Human Subjects Research: Regulations and Ethical Guidelines

NIH Office of Extramural Research: Protecting Human Research Participants Training

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.

Related Links
Connect with ACU