Interested in creating meaningful change through truly effective
interventions by understanding how dynamic factors within
different socio-ecological levels embedded in complex, social
systems influence: (1) intervention effectiveness and (2) epistemology (theoretically and practically).
Current research applications include:
Transportation Safety | Analyzes intervention effectiveness
in reducing motor-vehicle crashes, such as those involving DUIs, distracted driving, and pedestrians.
Research Integrity | Focuses on understanding the concept of \"research integrity\" as a complex social system by evaluating the effects of proposed solutions (both positive and negative) that reduce distorted reporting and flexible data analysis in order to decrease the problem of declining research integrity.
Type 2 Diabetes | Evaluates evidence-based interventions for type 2 diabetes in vulnerable communities and on understanding how framing affects health disparities.
- University of Saskatchewan - (Saskatoon, Saskatchewan, Canada), Postdoctoral Training 2016
- Dr.P.H. in , Texas A&M Health Science Center - (Houston, Texas, United States) 2015
- University of Michigan-Ann Arbor - (Ann Arbor, Michigan, United States), Postdoctoral Training 2015
- M.P.H. in , American Military University - (Charles Town, West Virginia, United States) 2010
- B.A. in Psychology, Kent State University at Stark - (Jackson, Ohio, United States) 2009
- A.S. in , Kent State University - (Kent, Ohio, United States) 2008
- B.A. in Biology, Psychology minor, Kent State University - (Kent, Ohio, United States) 2008
- Gorman, D. M., Elkins, A. D., & Lawley, M. (2017). A Systems Approach to Understanding and Improving Research Integrity. Science and Engineering Ethics. 25(1), 1-19.
- Miller, F. H., & Henning, W. H. (2004). Problems and Solutions Under UCC Article 2.
- Elkins, A., Gorman, D., Maddock, J., Kum, H., & Lawley, M. (2015). The Value of the Frame: Painting Complexity Using Two Chronic Disease Models.
- Elkins, A. D., & Gorman, D. M. (2014). Validating models in public health research.