1. with one of our Certified Instructors
2. on-demand, pre-recorded, 5 modules
3. on-your-own with free resources that align with the study guide's chapters
WLBU with Certified Instructor
Our Certified Instructors are qualified to lead you through this antiracism educational course designed to equip you with an analytical framework for examining race and racism in the United States.
WLBU On Demand
What LIES Between Us is a 5 module, pre-recorded, on-demand anti-racism educational course designed to guide, support, and equip learners with an analytical framework for examining race and racism in the United States
Are you doing the study on your own (without an instructor)? Here are the corresponding resources.
Want to gift this course to a friend? During check-out, submit the gift-recipient's email address so they receive an enrollment code.
2- step enrollment:
- PURCHASE THE STUDY GUIDE (each person should have their own study guide)
About The Course
Anti-race/ism Curriculum Specialist, Dr. Lucretia Berry and Team Brownicity designed the What LIES Between Us series to guide, support, and equip 'new comers' with an analytical framework for examining race and racism in the United States.
You will be equipped with a historical, political, and social context for understanding race/ism and how it is sustained. The content will allow you to build a sound knowledge base and develop a perspective beyond popular discourse and uninformed opinions. With a practical understanding of contributing ideologies--like white supremacy, meritocracy, colorblindness--and interpersonal and systemic dynamics—like unconscious bias, and power and privilege—you will have a broadened awareness of yourselves, “others,” and our interconnected society.
Each week you will receive instruction and engage in heart work, which includes reflective journaling and completing assignments.
Topics covered include:
- How/why race/ism was created
- Reinforcing narratives and policies
- Immigration Intersection
- Analysis of structural power
- Brain and belief bias