In English. Presentation regarding investigative journalism and election coverage. Council on International Relations, Santa Fe, NM 31 January 2020

1. ELECTION COVERAGE AND
INVESTIGATIVE JOURNALISM
A Project for Dominican Republic
Council on International Relations
Santa Fe, New Mexico
31 January 2020
1
Tom Johnson
Managing Director
Institute for Analytic Journalism
Santa Fe, New Mexico

2. Planning Election Coverage
Municipal elections February 16, 2020
Presidential and congressional elections May 17, 2020
2

3. Conclusion
Who and where is your team?
How will your team communicate?
Pre-election Planning
Project deadlines
Resources
3

4. Aspects of all stories
 Data In  Analysis  Information Out
 Data = Qualitative: Quantitative: Geographic
 Analysis
 Demographics
 Basic Statistics
 Geographic
2

5. Aspects of all stories
 Data In  Analysis  Information Out
 Data =
 Qualitative: descriptive, and regards phenomenon which can
be observed but not measured, such as language used)
 Quantitative: data that has numerical values
 Geographic:
 Timeline (reflecting change)
2

6. Aspects of all stories
 Data In  Analysis  Information Out
 Analysis =
 Election day: Voter turn-out; long lines; int’l observers; family
event
 Exit polling: talking to voters After they have voted
 Counting: votes cast; votes counted and reported; by party
 Basic statistics: % win or lose; by party; proportion by
candidate and/or party
 Geographic: results by voting place, province; municipality
2

7. Aspects of all stories
 Data In  Analysis  Information Out
 Information Out =
 text stories
 Audio & video
 Data visualization
 Charts, graphs, maps
 Make it easy for citizens to get all the voting data for
their own analysis
2

8. Resources
 Organization of American States
 2016 election for historical context; variables that can be
tracked
 Google search terms “oas dominican republic election”
 Wikipedia
8

9. Resources
 Organization of American States
 2016 election for historical context; variables that can be
tracked
 Wikipedia
9

10. Resources
 Organization of American States
 2016 election for historical context; variables that can be
tracked
 Google search terms “oas dominican republic election”
 Wikipedia
 Maps
 Psephos - http://bit.ly/2RZWo1R
10

11. Resources
 Organization of American States
 2016 election for historical context; variables that can be
tracked
 Google search terms “oas dominican republic election”
 Wikipedia
 Maps
 Psephos - http://bit.ly/2RZWo1R
11

12. Source: https://data.humdata.org/user/ocha-fis-data 12

13. Resources
 Organization of American States
 Wikipedia
 Maps
 Psephos - http://bit.ly/2RZWo1R
 ESRI: may have maps and demographics
 Dominican Republic Municipio Boundaries 2018
 Open Street map - http://bit.ly/2RArIpe
13

14. Resources
 Organization of American States
 2016 election for historical context; variables that can be
tracked
 Google search terms “oas dominican republic election”
 Wikipedia
 Maps
 Psephos - http://bit.ly/2RZWo1R
 Electoral Geography – electoralgeography.com
14

15. Aspects of all stories
 Data In  Analysis  Information Out
 Data = Qualitative: Quantitative: Geographic
 Analysis
 Information Out
 How will you tell – and SHOW – the election story?
 Text and data viz
 Maps
 Charts
 Won/Lost Data Tables
2

16. Conclusion
Who and where is your team?
How will your team communicate?
Pre-election Planning
Project deadlines
Resources
16
Thank
you