Data-Driven Science Quiz

Which of the following is a characteristic of big data?

• Volume

• Velocity

• Variety

• Value

Which of the following is a type of data-driven science?

• Machine learning

• Artificial intelligence

• Data mining

• All of the above

Which of the following is a goal of computational social science?

• To study social phenomena using computational methods

• To develop new computational tools for studying social phenomena

• To improve our understanding of social phenomena through the use of computational methods and tools

• All of the above

Which of the following is an example of a digital humanities project?

• Using big data to analyze large corpora of text

• Using computational methods to reconstruct historical events

• Using digital tools to create new forms of art and literature

• None of the above

Which of the following is a new research infrastructure that is needed to support critical data analysis in big data research?

• New data storage, processing, and analysis capabilities that can support critical data analysis.

• New initiatives to train researchers in the skills and competencies needed to conduct critical data analysis.

• Both A & B

• Neither A nor B

Which of the following is a benefit of computational social science?

• Computational social science can help us to study social phenomena at a scale and level of detail that was previously not possible.

• Computational social science can help us to develop new theories about social phenomena.

• Computational social science can help us to design more effective interventions to address social problems.

• All of the above

Which of the following is a limitation of digital humanities?

• Digital humanities projects can be expensive and time-consuming to complete.

• Digital humanities projects can be difficult to access and use by non-experts.

• Digital humanities projects can be biased towards certain types of data and sources.

• None of the above

Which of the following is an example of a data-driven approach to scientific research?

• Using big data to identify new patterns and trends in data

• Using machine learning to develop new models and theories

• Using computational methods to test hypotheses and generate predictions

• All of the above

Which of the following is a challenge of using big data in computational social science?

• Big data can be difficult to clean and process

• Big data can be difficult to visualize and interpret

• Big data can be biased and unrepresentative of the population

• All of the above

Which of the following is a benefit of using digital humanities to study the humanities?

• Can help us to discover new knowledge about the humanities

• Can help us to understand the humanities in new ways

• Can help us to make the humanities more accessible to a wider audience

• All of the above