Big data and artificial intelligence get most of the press about computational social science, but maybe the most complex aspect of it refers to using computational tools to explore and develop social science theory. This course shows how computer simulations are being used to explore the realm of what is theoretically possible. Computer simulations allow us to study why societies are the way they are, and to dream about the world we would like to live in. This can be as intuitive as playing a video game. Much like the well-known video game SimCity is used to build and manage an artificial city, we use agent-based models to grow and study artificial societies. Without hurting anyone in the real world, computer simulations allow us explore how to make the world a better place. We play hands-on with several practical computer simulation models and explore how we can combine hypothetical models with real world data. Finally, you will program a simple artificial society yourself, bottom-up. This will allow you to feel the complexity that arises when designing social systems, while at the same time experiencing the ease with which our new computational tools allow us to pursue such daunting endeavors.

Computer Simulations

Computer Simulations
This course is part of Computational Social Science Specialization

Instructor: Martin Hilbert
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84 reviews
Beginner level
No prior experience required
1 week to complete
at 10 hours a week
Flexible schedule
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Taught in English
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This course is part of the Computational Social Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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VB
Reviewed on Jul 30, 2023
Enjoyed Netlogo and the introduction to ABM courses
PB
Reviewed on Jul 15, 2023
That was a great class. I really enjoyed the hand-on NetLogo work.
DP
Reviewed on Aug 14, 2020
Excellent course. A complex topic explained simply.
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