using data science to change the world (change.org) presentation at the chief data scientist, usa...
TRANSCRIPT
USING DATA SCIENCE TO CHANGE THE WORLD
GOPA KUTTYMANAGER, [email protected]
what will you change?
CONFIDENTIAL
AUDIENCE
Change.org is the world’s largest and fastest growing platform for social changeOur goal is to mobilize 1 billion people within the next 10 years, and we’re on that growth path.
2009 2010 2011 2012 2013 2014 2015M
20M
40M
60M
80M
100M
120M
140M 145M USERS
(April 2016)
Starting movements is now easier than ever
Anyone can start a petition to create change on any issue they care about.
Petition starters recruit signers, raise awareness in media, and mobilize further action offline.
Governments and companies listen to their constituents and agree to make change.
1 START MOBILIZE WIN2 3
Here’s how it works:
PRODUCT
CONFIDENTIAL
VICTORIES
Ten-year-old receives lung transplantby Sarah’s
FamilyDelaware County, PA
373,119Signed
Child receives cochlear implants after insurer changes policy
by Shay RubinMonroe, GA
111,825Signed
by John LauerDenver, CO
126,628Signed
Genentech approves drug for cancer victim denied by BlueCrossby Natalie N.
Arizona62,421Signed
10,000+ similar petitions
DENIAL OF CARE
2,500+ similar petitions
COMPASSIONATE USE
15,000+ similar petitions
INSURANCE COVERAGE
Seasonal firefighters get access to federal health coverage
Each victory inspires more campaigns, amplifying its impact
CAMPAIGNS
More than 20,000 campaigns are launched every month around the world
CANADA24M
UNITED STATES318M
SPAIN105M
UK63M
TURKEY27M
RUSSIA34MFRANCE
36M
ITALY33M
AUSTRALIA28M
MEXICO15M
ARGENTINA23M
GERMANY27M
BRAZIL18M
INDIA12M
THAILAND4M
COLOMBIA5M INDONESIA
5M
JAPAN5M
PHILIPPINES2M
TOTAL SIGNATURES BY COUNTRY
SOUTH AFRICA1.4M
EGYPT
PUERTO RICO0.2M
NIGERIA0.1M KENYA
0.1M
INFLUENCERS
Influencers are also increasingly starting campaigns to create change on issues they care about
Desmond TutuPetitioning to set UN energy target332,197 SIGNATURES
Stephen ColbertPetitioning Guinness on animal welfare 17,747 SIGNATURES
Joaquin PhoenixPetitioning to reduce cruelty to farm animals 305,663 SIGNATURES
Michael SheenPetitioning to treat homeless better113,679 SIGNATURES
Alicia KeysPetitioning to end mass incarceration110,124 SIGNATURES
Julianne MoorePetitioning high school to change name 34,581 SIGNATURES
MalalaPetitioning to fund full education for girls1,107,990 SIGNATURES
Jamie OliverPetitioning for food education in schools1,658,868 SIGNATURES
…with hundreds more influencers supporting campaigns via Twitter and Facebook daily
EXAMPLE INFLUENCER CAMPAIGNS IN 2015-2016
CONFIDENTIAL
DECISION-MAKERS
Min. of Labour IndonesiaHanif Dakhiri
Senator, PhilippinesMiriam Defensor Santiago
Chief Min, New DelhiArvind Kejriwal
…with over 1000 more responses to petitions from government officials and companies like Coca Cola, IKEA, Facebook, GAP and others in 2016
Congressman, ArgentinaGustavo Vera
Lord Mayor of SydneyClover Moore
Mayor of MadridManuela Carmena
Mayor of ParisAnne Hidalgo
VP of EU ParliamentUlrike Lunacek
President of USABarack Obama
Mayor of LondonBoris Johnson
Env. Secretary of JaliscoMaría Magdalena Ruiz Mejía
SAMPLE OF POLITICIANS RESPONDING ON CHANGE.ORG
Prime Minister of CanadaJustin Trudeau
Due to this scale, politicians & companies now use our platform to directly respond to the public
Data Science at change.org
4 teams with distinct and interdependent functionsDATA SCIENCE AT CHANGE.ORG
Data Engineering
Content Science
Machine Learning
Quantitative Analytics
BUSINESS INSIGHT
ALGORITHMSTAXONOMYORGANIZATION
DATA FOUNDATIONS
SCALED PRODUCTS
DATA ENGINEERING AT CHANGE.ORG
Mobilizing Movements using Data
CONFIDENTIAL
Yulin, China
CONFIDENTIAL
The “Yulin” Petition gained traction in early June
Yulin Petition views
CONFIDENTIAL
It quickly went viral, gaining 10M+ views in the course of a week.
US
CONFIDENTIAL
… It also gave rise to 40+ other petitions globally, all related to Yulin.
U.S.
U.K.
Turkey
ItalyFrance
CAMPAIGN ANALYTICS
CAMPAIGN SPIKE ALERTER
EMAIL; COLLABORATIVE FILTERING
Bridges
EMAIL; COLLABORATIVE FILTERING
Yulin
Cecil
EMAIL; COLLABORATIVE FILTERING
EMAIL; COLLABORATIVE FILTERING
4321 5 6
Placements
CR1ev1
CR2ev2
CR3ev3
CR4ev4
CR5ev5
CR6ev6
SPONSORED PETITIONS
A Bayesian Bandit optimizes placements in the user experience
User
BAYESIAN BANDIT
Exploration vs Exploitation
explore exploit exploit/relegate
BAYESIAN BANDIT
Can the Bandit be Optimized?
BAYESIAN BANDIT
Can the bandit be optimized?
IMPACT
Data IN
Taxonomy: an integral part of Data Science
TAXONOMY
TAXONOMY
Some topics are easy to classify - animals
TAXONOMY
Some topics are easy to classify - LGBT
TAXONOMY
Some topics are complex: Human Rights
TAXONOMY
Polarity: Gun Control & Gun Rights
TAXONOMY
Polarized Topics Non-Polarized Topics
Gun RightsGun Control
EntertainmentAnimal Rights
ISOLATED NEIGHBORHOODS
ISOLATED NEIGHBORHOODS
So much more to come!