- Level Foundation
- المدة 13 ساعات hours
- الطبع بواسطة University of California, Davis
-
Offered by
عن
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.الوحدات
University of California Computational Social Science (UCCSS)
1
Videos
- What is this Specialization About?
1
Readings
- About UCCSS
Getting Started
1
Discussions
- Learning Goals
1
Videos
- Course Introduction
1
Readings
- A Note From UC Davis
Theoretical Models
4
Videos
- Theoretical Simulations
- Modeling and Mapping
- Extending Thoughts Computationally (Part 1)
- Extending Thoughts Computationally (Part 2)
How to "Grow" Increasingly Complex Artificial Socieities? (Part 1)
5
Videos
- Schelling's Segregation Model (Part 1)
- Schelling's Segregation Model (Part 2)
- Reflecting on Schelling
- Expanding on Schelling (Part 1)
- Expanding on Schelling (Part 2)
Agent Based Models (ABM)
1
Assignment
- ABM Quiz
1
Discussions
- Module 1 ABM Lab Help
1
Readings
- Agent Based Models (ABM)
Review
1
Assignment
- Module 1 Quiz
How to "Grow" Increasingly Complex Artificial Societies? (Part 2)
12
Videos
- Introduction to Artificial Societies
- Sugarscape
- Sugarscape Components
- Sugarscape 2
- Sugarscape 3: Inequality (Part 1)
- Sugarscape 3: Inequality (Part 2)
- Sugarscape 4: Sex
- Sugarscape 5: Inheritance
- Sugarscape 6: Das Kapital
- Sugarscape 7-10: Pressured to Move
- Sugarscape 11-12: Sugar & Spice
- Life on the Brink
What Can We Learn From Different ABM (Agent-Based Models?)
1
Videos
- The Generativist Motto
1
Readings
- Resources
Review
1
Assignment
- Module 2 Quiz
Computer Simulations
5
Videos
- Computer Simulations Introduction
- CSS for Your Choices
- Code You Can Live By
- Gambling High or Low
- More Risk in Your Life!
What Are Some Characteristics of ABM?
7
Videos
- Today's Questions
- Agent-Based Emergence (Part 1)
- Agent-Based Emergence (Part 2)
- Social Bursts
- Intuitive Presentation
- Context Sensitivity
- Probabilistic Humbleness
Review
1
Assignment
- Module 3 Quiz
What Are the Outcomes of ABM?
3
Videos
- Introduction to Some Model Thinking
- Four Model Outcomes (Part 1)
- Four Model Outcomes (Part 2)
What Are Some Critiques of ABM?
4
Videos
- Analytical and Numerical
- All Models Are Wrong
- Occam's Razor
- Science: Pure Creativity
Review
1
Assignment
- Module 4 Quiz
Coding Artificial Societies Lab
1
Peer Review
- Coding Artificial Societies
4
Videos
- Agent Based Models Lab Introduction
- First Turtle
- Moving Turtle
- Communicating Turtles
2
Readings
- Welcome to Peer Review Assignments!
- Optional / Voluntary / Complementary
Complementary Materials
4
Videos
- Social Epidemiology
- Conceptual Model
- Changing People's Health
- Computer Simulations of the Dead
Auto Summary
Discover the fascinating world of computational social science with the "Computer Simulations" course, where you will explore how computer simulations are utilized to develop and test social science theories. This foundational course falls under the Data Science & AI domain and is offered by Coursera. Guided by expert instructors, you will dive into the use of agent-based models to create and analyze artificial societies, much like building and managing a city in the video game SimCity. Through hands-on experience with practical simulation models, you will learn to combine hypothetical scenarios with real-world data, ultimately programming your own simple artificial society from the ground up. Spanning approximately 780 minutes of engaging content, this course is perfect for those looking to understand the complexities of social systems and harness computational tools to envision and experiment with better societal structures. Enroll with a Starter subscription to begin your journey into the innovative intersection of data science, AI, and social theory, designed for learners at the foundational level.

Martin Hilbert