Ementorhub

What you'll learn

Examine the history and current challenges faced by Social Science through the digital revolution.

Configure a machine to create a database that can be used for analysis.

Discuss what is artificial intelligence (AI) and train a machine.

Discover how social networks and human dynamics create social systems and recognizable patterns.

Skills you'll gain

Data Analysis

Big Data

Simulations

Network Analysis

Data Science

Computational Thinking

Scientific Methods

Social Sciences

Economics, Policy, and Social Studies

Artificial Intelligence

Machine Learning

There are 4 modules in this course

In this course we answer three questions: I. Why Computational Social Science (CSS) now? II. What does CSS cover? III. What are examples of CSS? In this last part, we take a bird’s-eye view on four main applications of CSS. First, Prof. Blumenstock from UC Berkeley discusses how we can gain insights by studying the massive digital footprint left behind today’s social interactions, especially to foster international development. Second, Prof. Shelton from UC Riverside introduces us to the world of machine learning, including the basic concepts behind this current driver of much of today's computational landscape. Prof. Fowler, from UC San Diego introduces us to the power of social networks, and finally, Prof. Smaldino, from UC Merced, explains how computer simulation help us to untangle some of the mysteries of social emergence.

Example of Computational Social Science: Data Science

Examples of CSS: Machine Learning & AI

Examples of CSS: Social Networks and Computer Simulations