Research

Implicit bias is like an invisible force that shapes our attitudes and beliefs about different social groups, including gender, race, and ethnicity. Without even realizing it, we can be influenced by these biases, which can have far-reaching consequences for society. 

While there is a lot to focus on I have narrowed down my research to implicit gender bias. Implicit Gender bias in the workplace can have significant consequences for individuals and organizations alike. In my research, I have focused on measuring occupational gender stereotypes and identifying ways to address them to create a more equitable and inclusive workforce.

To learn more about my research and participate in the study, please visit:  Project OGIAT 

One key factor that contributes to gender stereotypes in the workplace is implicit gender bias. Despite individuals' conscious beliefs and intentions, implicit bias can lead to unintended discriminatory behaviours and beliefs. For example, even individuals who consciously reject gender stereotypes may still unconsciously associate certain occupations with specific genders, perpetuating these stereotypes.

To address this issue, I have explored using implicit association tests (IATs) to measure occupational gender bias. IATs are designed to measure the strength of associations between concepts (such as gender and occupation) and can reveal implicit biases that may not be apparent through self-report measures. By designing and implementing an IAT specifically for measuring occupational gender bias, I aim to contribute to the development of more effective interventions for combating gender stereotypes in the workplace and creating a fairer, more inclusive work environment.