CMS.631 | Spring 2017 | Undergraduate
Data Storytelling Studio: Climate Change

Class Notes

This page presents the detailed agenda for each class session, and lecture notes used in some of the class sessions. The notes are provided in two formats: full-page slides, and slides with instructor’s notes.

SES # TOPICS AND AGENDAS LECTURE SLIDES & NOTES
Finding and telling stories with data
1

Introduction

  • Fill out the application for enrollment

 
2

Course overview & asking questions

  • Course overview
  • Crit practice
  • What is climate change data?
  • Do a data sculpture
  • Review homework
  • WTFcsv question brainstorming activity

Lecture 1 slides (PDF - 1.3MB)

Lecture 1 notes (PDF)

3 Course overview & asking questions (contd.)  
4

Getting and cleaning data

  • Review data logs, data storage and cleanliness
  • Grad students present open data papers
  • How the web works
  • Defining the tools space, tool demos
  • Homework review and prep
     

Lecture 2 slides (PDF - 1.3MB)

Lecture 2 notes (PDF)

5

Analyzing data

  • Basic statistics
  • Grad reading presentation
  • Tool demonstrations
  • WordCounter story-finding activity
  • A taxonomy of story types
  • Homework prep

Lecture 3 slides (PDF - 2.1MB)

Lecture 3 notes (PDF - 1.1MB)

6

Telling a data-driven story

  • Critique practice
  • Grad reading presentation
  • Talk about readings
  • A taxonomy of techniques
  • Remix activity
  • Homework prep

Lecture 4 slides (PDF - 2.2MB)

Lecture 4 notes (PDF - 1.3MB)

Sketch 1: Charts and creative charts
7

Overview

  • Inspirational examples
  • Viz Zoo activity
  • Tool demos
  • Project datasets
  • Group forming

Lecture 5 slides (PDF - 1.5MB)

Lecture 5 notes (PDF)

8

Studio (in-class work time)

  • Grad reading presentation
  • Reading review
  • Open work time for your group
  • Each group has a 5–10 minute check-in with Rahul for questions and advice

 
9

Presentations and discussion

  • Present sketches for critique
  • Assign next grad reading presentations

 
Sketch 2: Data sculptures
10

Overview

  • Readings review
  • Inspirational examples
  • Physical visualization review activity
  • Tools and techniques, datasets
  • Group forming

Lecture 6 slides (PDF - 1.2MB)

Lecture 6 notes (PDF)

11

Studio (in-class work time)

  • Open work time for your group
  • Each group has a 5–10 minute check-in with Rahul for questions and advice

 
12

Presentations and discussion

  • Present sketches for critique

 
Sketch 3: Personal stories
13

Overview

  • Storytelling pair & share
  • Readings review
  • Examples, tools & techniques, datasets
  • Group forming
  • Word-web activity (supplies: big papers and markers)

Lecture 7 slides (PDF)

Lecture 7 notes (PDF)

14

Studio (in-class work time)

  • Open work time for your group
  • Each group has a 5–10 minute check-in with Rahul for questions and advice

 
 

Optional: evening round-table with Emerson College and Northeastern University students

  • Share with undergraduate and graduate students taking a very similar course in a journalism school. See and react to their projects, and share your own projects for feedback or collaborative brainstorming on how it might turn into a final project for this course.

 
15

Presentations and discussion

  • Present sketches for critique
  • Assign next grad reading presentations

 
Sketch 4: Participatory data games
16

Overview

  • Inspirational examples
  • Readings, tools, datasets
  • Team-forming

Lecture 8 slides (PDF)

Lecture 8 notes (PDF)

17

Studio (in-class work time)

  • Open work time for your group
  • Each group has a 5–10 minute check-in with Rahul for questions and advice

 
18

Presentations and discussion

  • Present sketches for critique
  • Pick who will do Tableau and who will do CartoDB tutorials

 
Sketch 5: Maps and creative maps
19

Overview

  • Fundamental concepts
  • Sharing activity
  • Inspirational examples
  • Tools, datasets and team-forming

Lecture 9 slides (PDF - 1.9MB)

Lecture 9 notes (PDF)

20

Studio (in-class work time)

  • Open work time for your group
  • Each group has a 5–10 minute check-in with Rahul for questions and advice

 
21

Presentations and discussion

  • Present sketches for critique

 
Final project studio
22

Group forming

  • Group work time
  • Review homework

 
23

Mentor feedback and studio (in-class work time)

  • Short intro to assessing impact (logic models, pre/post interview, interviews)
  • Work in your final project groups

 
24

Studio (in-class work time)

  • Review the final project requirements
  • Work in your final project groups, consult with Rahul

 
25

Final project presentations and discussion

  • Each group has 10 minutes to present their final project and discuss it
  • Fill in the course evaluation

 
Course Info
Instructor
As Taught In
Spring 2017
Learning Resource Types
notes Lecture Notes
co_present Instructor Insights