Analysis Plan: The primary purpose of the pilot is to determine feasibility and to examine strategies for recruiting and training students. However, the primary analysis is the as randomized comparison of the cumulative reports of bystanding behaviors collected during the academic year between the two training conditions. A one-way ANOVA (with corresponding post-hoc tests to compare specific groups) will be used to compare the primary outcome of bystander behaviors (measured as the sum of frequency responses to bystander behaviors over the academic year) between those randomzied to INT versus SubINT conditions. Analyses will be conducted without adjustment, adjusting only for academic year, and adjusting for potential confounders not controlled for by randomization. Secondary outcomes will also be compared using a one-way ANOVA. A two-sided significance level of 0.01 will be used to protect against a Type I error in the presence of multiple comparisons. Post-hoc comparisons of groups will only be conducted when the overall F-test suggests differences between groups. All analyses for primary outcomes for will be conducted using comparison groups as randomized for an intent-to-treat (ITT) analysis. For those who are lost to follow-up, multiple imputation will be used in the ITT analysis. Sensitivity analyses using as observed data and single imputation (LOCF) will also be conducted. We will also perform analyses using a modified ITT (mITT), where participants electing not to pursue the intensive training are excluded, but groups are still compared as randomized. The primary analysis is the longitudinal analyses will be conducted using linear mixed models (PROC MIXED) to investigate differences between conditions, trends over time, and whether the time trends differ between conditions. Longitudinal analyses will be conducted by academic year but academic years will also be combined. For combined academic years, the time variable will be included with respect to the online training and academic year will be investigated as a potential confounder. Planned subgroup analyses include analyses by gender group, by sexual attraction, by Greek life participation. These will also be conducted as randomized and as received. Effect modification will also be assessed by including interactions in regression models (linear, logistic, and mixed models depending on outcomes and the presence of longitudinal measures). Participation and completing non-mandatory trainings will be examined overall and by subgroup as well. SAS v9.4 will be used for all data management and statistical analysis; a significance level of 0.01 will be used for all statistical tests.