My research centers on how socio-structural variables interact with psychological variables to affect outcomes that are important to human functioning. My research team is currently focusing on community-level factors that can make or break the success of interventions meant to improve health, such as in HIV prevention interventions for African Americans or for other risk groups (e.g., MSM). This work melds traditional attitudinal perspectives with social influence and other perspectives that incorporate social groups' and networks' influences, whether these are congruent or opposing (see Johnson et al., 2010, AIDS & Behavior). The outcomes we investigate might include such wide-ranging phenomena as sexual risk (e.g., condom use), depression (e.g., the efficacy of antidepressants or the influence of exercise), or blood pressure. For example, a current project examines how whites' attitudes in communities might have affected the success of HIV prevention interventions for African Americans. Our work relies on and extends methods in network and statistical science in that we use techniques such as meta-analysis and multi-level models to detect how geotemporal trends may affect adjacent outcomes for adjacent individuals and other groups.