Color blindness is defined as a perspective understanding one’s racial identity is irrelevant and it is best to ignore the importance of race and skin color. This ideology is embraced by whites who deny their prejudice through this modern form of racism by diminishing other’s race and culture and claiming to view all people as equal. Although white people may believe their intentions behind color blindness are good by not judging people by the color of their skin, but rather by the content of their character, alternately the true motivation behind the color blindness ideology may be white people’s discomfort around black people, which causes them to avoid color all together. We believe that color blindness is a modern form of racism in which individuals suppress their discomfort among blacks. Therefore, we predict higher levels of color-blindness will correlate with lower levels of allophilia, which represents positive attitudes, feelings, and demeanor towards minorities. We tested this prediction in a survey study in which UW undergraduate students completed measures of color-blindness and allophilia towards Black people. The current study also seeks to investigate how social desirability influences this relationship between color blindness and allophilia. Social desirability is a biased response in which the respondent answers the survey question in a way that would be generally accepted and favored by society rather than being truthful. We hypothesize that if we account for social desirability, the correlation between color blindness and allophilia will be stronger because we predict that social desirability masks the real relationship between the two variables. Thus, people with higher social desirability will be more untruthful, resulting in a higher score of allophilia, when in reality their allophilia score should be lower. Our study explores the relationship between color blindness and allophilia and the role in which social desirability plays.

 In the United States, Major Depressive Disorder and Generalized Anxiety Disorder are among the most prevalent of mental health disorders. There are, however, disparities in the prevalence of depression and anxiety between racial and ethnic groups. Generally, whites have higher rates of depression and anxiety than blacks, but blacks have a higher rate of persistent depression than whites. One potential factor relevant to this disparity in depression and anxiety rates is ethnic identity. This study therefore sought to investigate how ethnic identity predicts depression and anxiety differentially between blacks and whites. Based on past literature, we hypothesized that higher ethnic identity would predict lower depression and anxiety in blacks, in that having a strong black identity would inoculate individuals from the harmful and depressogenic effects of discrimination, a known risk for depression in blacks. We hypothesized that ethnic identity would have no effect in whites. The study recruited black (n=54) and white (n=64) participants from Amazon Mechanical Turk to complete a battery of self-report questionnaires including measures of ethnic identity, depression, and anxiety. A linear regression analysis was computed predicting depression and anxiety from measures of ethnic identity, with race as a moderator variable. Results indicated that higher ethnic identity had no significant effect on depression and anxiety in whites, but predicted higher depression and anxiety in blacks. Therefore our hypothesis was not supported. These data contradict previous findings that strong ethnic identity can be a protective factor against depression and anxiety. It is possible that, in today’s political climate of increased white nationalism and violence against blacks, ethnic identity may in fact be becoming a risk factor. Future studies would explore how ethnic identity corresponds to heightened sensitivity to discrimination, thereby predicting higher depression and anxiety in blacks.

This project aims to ground truth a statistical model created previously by our lab. The model predicts the characteristics of a hyper velocity impact of a projectile into both sea ice and water ice. We compared the modeling program’s simulated results with observed results from both 1.5 inch and 4 inch ice perpetrators on lab created water ice and naturally forming sea ice respectively and studying such characteristics such as peak ejection angle, maximum crater depth, and crater diameter. The experimental results are compared with the simulation presented by Koch 2017. We will apply both our experimental data and our simulation data in the design and creation of a two-stage penetration probe. The first stage is a hyper-velocity penetrator. The second stage is an aero-breaking probe that will use the plume created by the first stage to reduce its velocity before impacting the surface.