About the Course
Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behaviour and social dynamics.
An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.
This specialization serves as a multidisciplinary, multi-perspective, and multi-method guide on how to better understand society and human behaviour with modern research tools. This specialization gives you easy access to some of the exciting new possibilities of how to study society and human behaviour.
What you will learn?
- Discover how social networks and human dynamics create social systems and recognizable patterns
- Define and discuss big data opportunities and limitations
- Web scrape online data, create a social network visualization with it and use machine learning to analyze its content
- Use computer simulations to program your own artificial societies to explore business strategies and policy options
There are 5 Courses in this Specialization
- Computational Social Science Methods
- Big Data, Artificial Intelligence, and Ethics
- Social Network Analysis
- Computer Simulations
- Computational Social Science Capstone Project
Martin Hilbert Professor and Chair DE Computational Social Science Communication, Graduate Group Computer Science Chair Emphasis Computational Social Science
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