Squandering Big Data?

The video discusses the inevitability of building powerful simulations of the social world using computer models, specifically agent-based modeling. It highlights the importance of understanding the assumptions underlying these models, as incorrect assumptions can lead to inaccurate representations. The speaker emphasizes the need for accurate modeling of the social world and expresses concern about institutionalizing incorrect modeling practices as social science evolves.

What is the primary method discussed for simulating the social world?

• Statistical analysis

• Machine learning

• Agent-based modeling

• Neural networks

What is a key assumption made in agent-based modeling?

• The social world is static

• Interactions are irrelevant

• Data is not necessary

• The social world is built on individual interactions

Why is it important to consider the assumptions in social world modeling?

• To ensure models are simple

• To avoid incorrect representations

• To increase computational speed

• To reduce data usage

What analogy is used to describe the flaw in modeling only part of the social world?

• Cooking without ingredients

• Modeling the body by only modeling soft tissue

• Driving a car without fuel

• Building a house without a roof

What concern is raised about the future of social science modeling?

• Decreasing interest in social sciences

• Institutionalizing incorrect modeling practices

• Lack of data

• Over-reliance on technology