Why SICSS?

Chris Bail
Duke University

CHALLENGES

1. Big Problems in the World

1. Big Problems in the World

 

2. Computational Social Science is Disconnected

2. Computational Social Science is Disconnected

 

3. Training Opporunities are Rare

3. Training Opporunities are Rare

 

SOLUTIONS

Widespread Interest

Widespread Interest

Goal #1: Provide State-of-the-Art Training

Goal #1: Provide State-of-the-Art Training

 

Goal #2: Challenge Disciplinary Divides

Goal #2: Challenge Disciplinary Divides

 

Goal #2: Challenge Disciplinary Divides

Goal #2: Challenge Disciplinary Divides

Goal #3: Reach a Broad Audience

 

Goal #3: Reach a Broad Audience

 

Goal #3: Reach a Broad Audience

 

Goal #4: Open-Source

 

Goal #4: Open-Source

 

Goal #5: Teach the Teachers

Goal #5: Teach the Teachers

HOW SICSS WORKS

Schedule

Schedule

Lecture Schedule

 

Day Topic
Monday Intro/Ethics (Matt & Chris)
Tuesday Collecting Digital Trace Data (Chris)
Wednesday Automated Text Analysis (Chris)
Thursday Surveys in the Digital Age (Matt)
Friday Mass Collaboration (Matt)
Saturday Field Experiments (Matt)

Accessing Materials

Visiting Speakers

 

Group Projects

 

Build a Web-Based Group Project!

 

Add your name to a list of people hoping to create a web-based group project here:

http://bit.ly/2rF78IV

YOUR RESPONSIBILITIES

Open-ness

Patience

Togetherness

Generosity

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