The UNFPA started a journalism training program in Myanmar to help rebuild journalism using census data. The program trains journalists on data journalism to enhance reporting quality. Journalists learn to analyze census data on topics like disability, life expectancy, water access and housing to write stories that compare regions and Myanmar to its neighbors. The goal is for data-driven stories to become routine in Myanmar newsrooms and help inform the public through credible data.

1. Re-Inventing Journalism at
Myanmar?
Peter Verweij
Yangon Myanmar
May 2016

2. After the census the UNFPA started with a journalism
programme for capacity building
The core element is working with credible data, starting with
census data
Census data is used start a training in data journalism,
aiming at enhancing quality of reporting and training data
Journalism trainers(ToT)
We showed some of the results and of course hope
data journalism will become a new routine in various
Newsrooms. Here is the complete overview of topics
About the UNFPA Census Data

3. Name Subject
Mr Zaw Htike
Ms Aye Aye Zin
Water distribution Yangon
Mr Thit Nay Moe Unemployment Myanmar
Mr Su Myat Wai
Ms Lae Lae Thin
Ownership housing Yangon
Ms Aye Thida Kyavv Electricity consumption Yangon
Mr Aung Kyaw Zin
Mr Than Htike Aung
Disability Iyyawardy
Mr Ni Toe
Ms Lamung Lu Seng
Employment Yangon
Ms Myat Su Man Sanitation Rakhine
Ms Yin Saning Life expectancy in Mon
Mr Zaw Kham Hein House ownership in Nay Pyi Taw

4. The Guardian over Riots and
Poverty

5. Simon Rogers:
- free software
- open data
- checking power elite
Steve Doig:
- Social science done on deadline
Philip Meyer:
- Precison journalism: using the tools of science to improve
reporting
WHAT IS YOUR CONCLUSION?

6. Data Journalism is already 50
years old
Philip Meyer: 1968 Detroit Riots; Dem
Convention; using
IBM mainframe: Precison Journalism:
using the tools of
science to improve reporting
1990 PC using spreadsheets, databases,
maps: CARR
Drunken driving
Doig: Hurricane Andrew
2000 turned into set skills: xls gis scrape
crack pdf mapping
Data Journalism data driven journalism
ddj

7. Data Journalism Made Easy
- Skills were important but
made DDJ expensive and
slow for day today
production
- Services for DDJ on the
web: Datawrapper;
Localfocus, Cartodb
for graphs and maps
- Open data, create apps for
accessing data
- Projects: skills still needed
and visualization D3

8. Why data journalism?
•From print to online
•From text to multimedia
production
•From news to background,
analysis, investigations and
features
•Looking for a new business
model and for a new journalist
•http://www.economist.c
om/node/18904136

9. News is Everywhere for Free
-Users do not primarily focus
on news; they scan Google
News, Blogs, Facebook,
Twitter;
- Journalism has died together
with the crisis in the
media/newspaper business
- Media: newspapers/TV
reinvent through extras to the
news: background, analysis,
features and data project:
Upshot
- The business model: attract
readers from online to print

10. Pick up journalism tradition in a
democratic society
Informing the public
Adding to transparency of
decision making
Credible data
Re-Inventing Journalism at Yangon?

11. Re-Inventing 2
Enhancing quality of reporting
Using modern technology:
online and mobile

12. Re-Inventing 3
census data
Census data=credible
data
Stories in the data on
the union level
Stories by comparing
regions
Stories Inside regions

13. Re-Inventing 4
census data
Stories comparing
Myanmar with
neighbors
Journalist have to dig
in to these data and
turn them into stories
About for example:
disability, life
expectancy, water,
sanitation, housing
child labor

14. I am looking forward to these
stories.
Thank you very much!
Drs Peter Verweij D3-MEDIA
peter@d3-media.nl
Web: www.d3-media.nl
Blogs: d3-media.blogspot.com