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Computational Thinking and Social Science
Combining Programming, Methodologies and Fundamental Concepts
- Matti Nelimarkka - University of Helsinki, Finland, Aalto University, Finland
Additional resources:
December 2022 | 384 pages | SAGE Publications Ltd
Whilst providing a fundamental understanding of computational social science, this book delves into the tools and techniques used to build familiarity with programming and gain context into how, why and when they are introduced. The overall focus is on helping you understand and design computational social science research, alongside delving into hands-on coding and technical instruction.
Key features include:
Key features include:
- Further reading
- Exercises accompanied by sample code
- Programming examples in Scratch, Python and R
- Key concepts
- Chapter summaries
New kind of social science requires new skills
Computational Thinking, Algorithms and Writing Code
Data Science
Network Analysis
Data Structures
Simulations and Complex Systems
Interactive Systems
Best Practice for Software Development
Computation and Data: Collection, Storage and Manipulation
Computational Social Science
Research Ethics in Computational Social Science
Mistakes and Quality of Results in Computational Social Sciences
Integrating Computational Methods in Research