Bowdoin: Data Driven Socities 2014 - Intro 01/20/14

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Information about Bowdoin: Data Driven Socities 2014 - Intro 01/20/14

Published on February 4, 2014

Author: jgieseking



Data Driven Societies
Digital & Computational Studies
Bowdoin College
January 20, 2014
Professors Gieseking & Gaze

Lecture Slides "Digital and Computational Social Sciences: Introductions to Data"

Data Driven Societies: An Introduction Professors Gaze & Gieseking

Visualize This The greatest value of a picture is when it forces us to notice what we never expected to see. —John W. Tukey. Exploratory Data Analysis. 1977.

DCSI & Data Driven Societies ✦ Digital & Computational Studies Initiative (founded 2013) ✦ DDS: How do we address social issues with digital and computational tools for the common good?

Course: Assignments ✦ Labs ✦ Blog posts and comments • Flip classroom assignments ✦ Quizzes ✦ Hackathon ✦ Final paper and presentation ✦ Exam

Course: Themes & Tools I. Defining Data through Collection, Access, Readability, and Reliability A. Graph analysis II. Private(s) B. Spatial analysis III. Public(s) IV. The Life of Code V. Sociality & (Cyborg)Embodiment VI. Power & Format Python, Excel, R GoogleMaps, Social Explorer C. Network analysis Gephi

Course: Approach

How do we study society? 0. Identify an issue 1. Ask a question to understand it 2. Decide a way to frame it 3. Narrow down an approach of study 4. Apply the right tool to gather data 5. Analyze data to create findings 6. Relate findings back to other framings and approaches 7. Make evidence-based conclusions

Social Scientific Approach 0. Identify an issue 1. Research question 2. Theoretical approach 3. Literature review 4. Methods 5. Analysis 6. Discussion 7. Conclusion

Course Website

Should our site be public? ✦ Pros: share with public, create portfolio of work, represent Bowdoin ✦ Cons: learning process ✦ We will vote on Wednesday

Excel 101 ✦ x

Twitter 101 ✦ x

“What I Hope for You” ✦ That you look for the question, not the solution. ✦ That you are not seduced by speed and power. ✦ That you don’t see the world as a market, but rather as a place that people live in — you are designing [researching] for people — not machines. -Red Burns, Founder, Interactive Telecommunications Program, NYU

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