Center for the Study of Race and Ethnicity in America (CSREA)
The term “reckoning” denotes acts of calculation, estimation and debts paid. It can carry a sense of future settlements. It also refers to “ideas, opinions and judgments” as in the phrase, “I reckon.” To what extent, and how, might we imagine a racial reckoning via new work in arts and humanities?
Center for the Study of Race and Ethnicity in America (CSREA)
This conversationexplores the complexity of factors impacting Asian American communities, including the historical and recent contexts for anti-Asian racism and violence.
Center for the Study of Race and Ethnicity in America (CSREA)
African American Political Thought offers an unprecedented philosophical history of thinkers from the African American community and African diaspora who have addressed the central issues of political life: democracy, race, violence, liberation, solidarity, and mass political action. Co-editors Melvin L. Rogers and Jack Turner have brought together leadingRead More
Center for the Study of Race and Ethnicity in America
These faculty-led workshops were designed to support graduate student research on race and ethnicity, build research community across disciplines, and aid in the professional development of Brown graduate students.
Please register to join any or all of the following workshops.
Sponsored by the Center for the Study of Race and Ethnicity in America (CSREA) and the journal Gender, Work & Organization
This three-part speaker series will focus on various ways anti-racist feminist methods of organizing are taking shape in an increasingly connected, transnational world. Prof. Tami Navarro (March 25, 2021),Read More
Sponsored by the Department of Computer Science and CSREA
The Technology and Structural Inequality speaker series will focus on the impact of technology on marginalized communities. The series will bring together leading academics and activists whose work is influencing how we think about and how we fight against the harms that technology is causing. The speakers will examine how AI and machine learning algorithms can be biased and discriminatoryRead More
