The bulk of my teaching responsibilities at the University of Hartford are methodological in nature and I teach to the full range of undergraduate, masters, and doctoral students.
Along with classroom and academic experience, I have worked with colleagues on the development of many NIH proposals (e.g. NIDA, NCI). In my work as methodological/statistical consultant I have written the quantitative methods sections (and associated power analyses) for several R03, R21, and R01 proposals that have covered substantively diverse topics that utilize a wide variety of advanced statistics. My research experience is methodologically diverse. While overseas at the Institute of Social and Applied Psychology in Canterbury, England, for example, I designed, executed and analyzed a series of surveys and experiments that were all concerned with contact between members of different cultural groups and the relative effectiveness of strategies designed to improve intergroup relations (see for example Vivian, Hewstone, & Brown, 1997; Brown, Vivian, & Hewstone, 1999). As lead data analyst at the Hispanic Health Council, I was responsible for overseeing all aspects of the quantitative component of federally funded projects concerned with drug use and HIV risk behavior (e.g. Vivian et al, 2005). I have also worked very closely with Dr. Herns Marcelin, an anthropologist at the University of Miami, on a number of projects (see for example Marcelin, Vivian, DiClemente, & Page, 2005). Most recently, I worked with Dr. Marcelin as part of the Haitian Stabilization Initiative (HIS), a DOD-funded effort to assess international efforts to stabilize the Cite Soleil neighborhood of Porte Au Prince. I also collaborate with Dr. Susan Shaw, an anthropologist from the University of Arizona specializing in health literacy and health disparities research. My work with Dr. Shaw and other anthropologists has consolidated my commitment to, and enthusiasm for, mixed-method approaches to understanding issues of vital interest to communities and to public health.