Modeling Religious Change’s Post

Can race “fit in a box”? Looking at how US census questions have changed over the past 230 years reveals how greater inclusivity and nuance can be achieved in recording people’s identities. Now, people taking the census can select multiple races, rather than being assigned one by the census taker. Since 1850, the number of “races” has increased from three to six. Within each race, exact nation of origin or ethnicity can be indicated. Small changes like these account for much more nuance and accuracy. Like race, religious belief in the US and around the world is also incredibly diverse and complex. Many people have multiple (non)religious identities, such as someone who left Islam but still believes in God, or someone who identifies as Christian but also worships a local deity. The personal importance of religious identity also varies. We strive to capture this complexity and nuance in our agent-based models of religious change. Agent-based models utilize AI “agents” who represent individual people. Our models track the interactions and changes of these agents as their religious identities transform over time, allowing us to project future religious change in large populations. Our cutting-edge models capture nuance in religious identification, just as the US census has evolved to include more nuanced and layered racial identities better. https://lnkd.in/gzKvjGj4

An American Puzzle: Fitting Race in a Box

An American Puzzle: Fitting Race in a Box

nytimes.com

To view or add a comment, sign in

Explore topics