Dive into the dynamic field of Computational Social Science to understand how digital technology and big data shape society. Delve into social network analysis, artificial intelligence, and computer simulations while exploring ethical considerations. Create your own artificial societies and gain practical skills in web scraping, visualization, and machine learning.
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Explore the Computational Social Science course modules, covering topics such as social network analysis, big data, artificial intelligence, and computer simulations. Gain practical skills and theoretical knowledge to understand and influence human behavior and social dynamics.
Examine the history and current challenges faced by Social Science through the digital revolution. Configure a machine to create a database for analysis and explore how social networks and human dynamics create recognizable patterns.
Define and discuss big data opportunities and limitations. Work with IBM Watson to analyze personality through Natural Language Programming (NLP) and explore the roles ethics play in AI and big data.
Define networks and analyze social networks through data wrangling and visualization. Discuss the mechanisms that generate networks and examine social network analysis using case studies.
Discover how computer simulations are used to explore the realm of what is theoretically possible. Play hands-on with computational tools to study and dream about the world we would like to live in. Program a simple artificial society and combine hypothetical models with real-world data.
Execute a comprehensive multi-method workflow of computational social science. Scrape data from a social media site, visualize resulting networks, analyze data using machine learning, and use a computer simulation model to explore possible generative mechanisms.
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