Khalil Gibran Muhammad - Big Data

Khalil Gibran Mohammed discusses the historical and contemporary use of big data, highlighting its biases, especially in demographic data collection. He explains how data has been used to rank racial groups and justify discrimination, particularly against African Americans. The video emphasizes the importance of understanding the historical context and biases in data interpretation.

What is one of the main historical uses of big data in social sciences?

• To predict weather patterns

• To develop new technologies

• To rank racial groups based on their economic potential

• To track animal migration

What is a common misconception about big data?

• It is always accurate and unbiased

• It is only used in technology

• It is a recent development

• It is not useful in social sciences

How was demographic data historically used in the United States?

• To promote cultural diversity

• To justify the superiority of certain racial groups

• To enhance agricultural productivity

• To improve public transportation

What is a significant issue with the way crimes are statistically tracked in the U.S.?

• Crimes are only tracked in urban areas

• Crimes are not tracked at all

• Crimes of certain racial groups are disproportionately tracked

• Only violent crimes are recorded

What was the original intention behind collecting data on African Americans?

• To justify discrimination

• To promote equality

• To enhance education

• To improve healthcare

What is the main lesson for students regarding data collection and interpretation?

• Data interpretation is not important

• Data should only be collected by government agencies

• Data collection is influenced by historical and political contexts

• Data is always objective and unbiased

Why is it important to understand the context of data collection?

• To reduce the cost of data collection

• To avoid misinterpretation and bias

• To increase the amount of data collected

• To ensure data is collected faster