DataKind DublinScience Gallery, 17 April 2015

@DataKindDUB#data4good

Welcome!

Today we are aiming to:

• Tell you a little bit about using Data for Social Good

• Show you interesting work of data used for social causes

• Help you explore some interesting visualizations3pm to 5pm

meetup.com/DataKind-DUB/dublin@datakind.org

@DataKindDUB

Great to have you here!

Welcome!

Website: sciencegallery20150417.pen.io

3pm to 5pmmeetup.com/DataKind-DUB/

dublin@datakind.org@DataKindDUB

Great to have you here!

The power of Data

• HEALTH• EDUCATION• POLITICS• DEVELOPMENT

...• DAILY LIFE!

Good Data Science

First principles...

• Correlation doesn’t imply Causation• Occam’s Razor

Communicating your results...• Know your Audience• Let the data tell the story• ‘Intelligent Grandmother test’

Viz #1 Nigerian Sectarianism

Where did the data come from?● Sourced from multiple International Agencies

○ UNHCR / OCHA○ Integrated Regional Information Networks

How was the data visualisation put together?● Al Jazeera journalists and developers created an

interactive visual narrative

Why is it interesting?● Catalogs a complex and long running political

and paramilitary crisis in an interactive format

http://webapps.aljazeera.net/aje/custom/2014/bokoharamtimeline/index.html

Al Jazeera - Boko Haram’s Legacy

Viz #1 Nigerian Sectarianism

● What happened on August 26th 2011?

● When was the first case of internal displacement in Southern Nigeria?

● On the 50th anniversary of Nigerian Independence, there were attacks in Abuja. Where in the capital did these take place?

For the eager ones!

● When is the first case of External Displacement and what caused it?

http://webapps.aljazeera.net/aje/custom/2014/bokoharamtimeline/index.html

Things to find...

Viz #2 - Selfie Analytics

Where did the data come from?● Publicly Available Instagram Selfies

How was the Data Visualisation put together?● Human Image Processing of Instagram Selfies● Used Crowdsourcing to Classify Images - Amazon's Mechanical Turk

Why is it interesting?● Study into passive LifeLogging by Instagram users

http://selfiecity.net/selfiexploratory

Beauty is in the Eye of the App-Holder

Viz #2 - Selfie Analytics

● Find all the girls in Sao Paulo with their Mouths Closed

● Find all the men in Bangkok who are looking up with their Eyes Open

● Find all the people who are Calm and Happy, then try Crop & Rotate

For the eager ones!

● Correlate people’s Mood with whether their Eyes are Open or Closed

http://selfiecity.net/selfiexploratory

Things to find...

Viz #3 - Prevalence of Diabetes

Where did the data come from?● International Diabetes Federation’s Global Atlas (public data portal)

How was the Data Visualisation put together?● IDF compiles data from

○ Peer-reviewed Journals○ National Health Statistics Reports○ International Agencies (CDC, WHO, …)

Why is it interesting?● Independent analysis of Global Diabetes Data● Find out potential new answers to pressing questions

https://public.tableau.com/s/gallery/prevalence-diabetes-world

Diabetes Mellitus - The Silent Epidemic

Viz #3 - Prevalence of Diabetes

● What is the prevalence of diabetes in your country? How does it compare to the surrounding region and the world overall?

● Which countries have the highest diabetes prevalence? Can you find any connection between them?

● Pick a region (Europe, Asia etc) of your interest and find out what are the countries with the highest and lowest levels of diabetes.

For the eager ones!

● Explore the relationship between diabetes and IGT (impaired glucose tolerance). Do you think they are related?

https://public.tableau.com/s/gallery/prevalence-diabetes-world

Things to find...

Viz #4 - Educating Girls

Where did the data come from?● World Bank (public data portal)

How was the Data Visualisation put together?● World Bank collates indicators from multiple sources

○ UNESCO, UNICEF, WHO, UNDESA, UNDP● Author used freeware to create the viz

Why is it interesting?● Targeted use of Global Data to highlight a specific cause / policy● In this case, the effect of Primary Education on Income Levels

https://public.tableau.com/s/gallery/educating-girls

If you educate a Woman, you educate a Family

Viz #4 - Educating Girls

● For the year you were born, what country had the lowest rate of girls finishing primary education?

● What was the average of this rate in High Income countries? What is the year with the best completion rate?

● Where do you see the best improvement in the ratio of primary education completion and reduced mortality?

For the eager ones!

● Which country has the highest ratio of completion to mortality over any year?

https://public.tableau.com/s/gallery/educating-girls

Things to find...

Viz #5 - Right to Education

Where did the data come from?● UNESCO Household Survey

How was the Data Visualisation put together?● UNESCO developed an Interactive App to represent

the main issues in their Household Survey

Why is it interesting?● Accessible style, no technical skill needed to understand message● Clear Insights from the 126-page Regional Report

http://www.uis.unesco.org/_LAYOUTS/UNESCO/oosci-data-tool/index-en.html#en/KHM

Let’s EnRole Up Our Sleeves

Viz #5 - Right to Education

● What are the difference between children in India? Compare○ Poorest vs Richest○ In School vs Out of School

• What is the difference in school experience between Girls and Boys in Pakistan?

• In Ethiopia what is the split between School vs Out of School comparing rural and urban areas

For the eager ones! • Of the Primary School Age Population in Nigeria, how many of the

poorest children are out of school?http://www.uis.unesco.org/_LAYOUTS/UNESCO/oosci-data-tool/index-en.html#en/KHM

http://www.uis.unesco.org/_LAYOUTS/UNESCO/oosci-data-tool/index-en.html#en/KHM

Things to find out ...

Hope you enjoyed our Workshop

DataDive16/17 May 2015Bank of Ireland,Grand Canal Square

dublin@datakind.org@DataKindDUB#data4good

meetup.com/DataKind-DUB/

Thank you !Join us: datakind.org/getinvolved