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What Open Data and
Open Source can do
for Sri Lanka?
Srinath Perera, Ph.D
VP Research, WSO2
Member, Apache Foundation
@srinath_perera
A Day in Your Life
Success Stories
• Money Ball ( Baseball drafting)
• Nate Silver predicted outcomes in 49 of
the 50 states in the 2008 U.S. Presidential
election
• Cancer detection from Biopsy cells ( Big
Data find 12 patterns while we only knew
9), http://go.ted.com/CseS
• Bristol-Myers Squibb reduced the time it
takes to run clinical trial simulations by
98%
• Xerox used big data to reduce the attrition
rate in its call centers by 20%.
• Kroger Loyalty programs ( growth in 45
consecutive quarters)
If you collect data about your business, and feed it to a Big Data
system, you will find useful insights that will provide competitive
advantage
– (e.g. Analysis of data sets can find new correlations to "spot business
trends, prevent diseases, combat crime and so on”. [Wikipedia])
Putting Analytics to Work
 What happened? And
Why? ( Hindsight)
 What is Happening
right now? (
oversight)
 What will happen?
(Foresight)
Open Source Market Share
• Apache (60%)
• Linux (Servers 16%)
• Firefox (25%)
• Tomcat and most of
middleware
• Android (43%)
• Even Microsoft looking
favorably at Opensource
projects
• There are lot of open
source projects bundled
inside the proprietary
products
Copyright kafka4prez and licensed for reuse under CC License ,
http://www.flickr.com/photos/kafka4prez/198465913
What is Open Source?
• Most commercial software does
not distribute the source code, and
developed and managed in a
closed world.
• Idea of open source is to have the
code in the open, and to improve
it though volunteer contributions
using “open development”
• Idea is that the project becomes a
eco-system
– More ideas
– More developers
– More Testers
– More Bug fixers
“There is no delight in
owning anything
unshared.”
Seneca (Roman philosopher,
mid-1st century AD)
How does a Open Source Work?
• Open code repository (SVN or Git
etc.)
• Two parts of the community
– Developer Community
– User Community
• Communication through Mailing
lists / IRC Channel
– Develop mailing list
– User mailing list
• Bug tracking database to track errors
(Jira, Bugzilla)
• People submit improvements as
patches through Jira etc.
 Committers have write access to repository
 Committers review and apply patches, and when you
submit lot of them, they will make you a committer.
History of Opensource
• 1970s – UNIX, Emacs
• 1984-85 - GNU project and
Free Software Foundation
• 1990 - GNU project almost
complete .. well not OS
• 1991 - Linus Torvalds announce
Linux, Phython
• 1993 - Net BSD and Free BSD
• 1994-95 - Linux 1.0 released
• 1995 - Apache, KDE, PHP
• 1997 - Genome
• 1999 Linux 2.2, OpenOffice
• 2003 - Firefox, Android
http://www.geograph.org.uk/photo/916456
http://www.fotopedia.com/items/flickr-3320704544
Why People Contribute?
• As a way to improve your profile
(looking for a Job)
• To gain experience
• To work with “like minded” People
• To be part of something bigger
• To be a “Geek”
• As a Job – if you a well known
open source developer, chances are
that you will get payed for
contribution
• As a competitive strategy
Copyright U. S. Fish and Wildlife Service and licensed for reuse under CC License ,
http://www.flickr.com/photos/usfwsnortheast/4754624921 and Copyright WxMom and licensed
for reuse under CC License , http://www.flickr.com/photos/wxmom/1359996991.
• Sahahna
• Apache Axis2 and
other projects
http://www.geograph.org.uk/photo/1842872
LKA Success Stories
Why People use Open Source
Software?
• It is cheaper
• It is better
• Because it is open source (Religiously)
• More visibility into the code, better security,
auditing
• If there is a problem, I can fix it
• More control over releases, roadmap
• Patches become available faster
• Easy to understand how it works
• Can fork the code if needed
• Not own by one person, less risk to depend
on it.
• Do not have to maintain the code
Big Data and Opensource
 Most Big data tools are free
 Even the state of the art is
being released as opensource
 Give countries like a unique
opportunity with a level
playing field
Open Data
 Make the data public
 Advanced form of the RTI act
 Opensource idea applied to data science
 E.g. programs like “Code for America”
Code Red: US healthcare.gov
Rescue
 $300M project, that is failing
and small group of volunteers
go to hackathon mode to fix
it, and fix it.
 See
 http://radar.oreilly.com/2014/03/cod
e-red_-they-have-no-use-for-someone-
who-looks-and-dresses-like-me.html
 http://content.time.com/time/magazi
ne/article/0,9171,2166770-1,00.html
Filtering Information with Big
Data Big Data can filter
information (e.g. SPAM)
 Rank Information ( show
most relevant articles)
 Find Anomalies ( detect
Fraud)
 Make recommendations (
product
recommendations)
 Handle reputations (e.g.
Ebay, Amazon)
George Caleb Bingham, 1846
Example: Reddit, Hacker
News( Ranking)
 Keep Your
Customers
 Get New Customers
 Improve Operations
 Monetize your data
Example: Amazon, Ebay,
Abnb, (reputation)
Urban Planning and Policy
Decisions
• Urban Planning
– People distribution
– Mobility
– Waste Management
– Parking
• Policy Decision
– What if we change
minimum wage?
– What are economic impact
of a new law?
By Aqwis - Own work, CC BY-SA 3.0,
https://commons.wikimedia.org/w/index.php?curid=6810430
Example: Big Data for
Development
• Done using CDR data
• People density noon vs. midnight
(red => increased, blue =>
decreased)
From: http://lirneasia.net/2014/08/what-does-big-data-say-about-sri-lanka/
Traffic
 Lot of us waste time on
traffic
 Know where is traffic (
Google traffic does that)
 Emergency Response
 Know the traffic patterns
 Long term planning
Manage Donors and
Charities
 Sri Lanka donates a lot (even the poorest)
 Does the money goes to intended place
 Can we track how money is spent?
https://iwringer.files.wordpress.com/2015/09/
traffic2.jpg?w=656
Day to day Maintenance
 Does the news papers are the best way to get day to
day things done?
 Can crowd sourcing help?
 How to stop false tickets?
Disease spread
 Earlier Malaria and now dengue
 Know current situation
 Know overall trends ( focus on problematic
areas)
 Emergency Response
Summary
• There are lot Opensource, Open
data, and Big Data can do for Sri
Lanka
• Some cases needs money!! And
might be beyond us
• But not for many cases
– e.g. Sahana
– Hackathon to build an app to decide
what topics to take up in the
parliament
• What we really need is
collaborations between domain
experts and computer scientists

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What Open Data and Open Source can do for Sri Lanka?

  • 1. What Open Data and Open Source can do for Sri Lanka? Srinath Perera, Ph.D VP Research, WSO2 Member, Apache Foundation @srinath_perera
  • 2. A Day in Your Life
  • 3. Success Stories • Money Ball ( Baseball drafting) • Nate Silver predicted outcomes in 49 of the 50 states in the 2008 U.S. Presidential election • Cancer detection from Biopsy cells ( Big Data find 12 patterns while we only knew 9), http://go.ted.com/CseS • Bristol-Myers Squibb reduced the time it takes to run clinical trial simulations by 98% • Xerox used big data to reduce the attrition rate in its call centers by 20%. • Kroger Loyalty programs ( growth in 45 consecutive quarters)
  • 4. If you collect data about your business, and feed it to a Big Data system, you will find useful insights that will provide competitive advantage – (e.g. Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on”. [Wikipedia])
  • 5. Putting Analytics to Work  What happened? And Why? ( Hindsight)  What is Happening right now? ( oversight)  What will happen? (Foresight)
  • 6. Open Source Market Share • Apache (60%) • Linux (Servers 16%) • Firefox (25%) • Tomcat and most of middleware • Android (43%) • Even Microsoft looking favorably at Opensource projects • There are lot of open source projects bundled inside the proprietary products Copyright kafka4prez and licensed for reuse under CC License , http://www.flickr.com/photos/kafka4prez/198465913
  • 7. What is Open Source? • Most commercial software does not distribute the source code, and developed and managed in a closed world. • Idea of open source is to have the code in the open, and to improve it though volunteer contributions using “open development” • Idea is that the project becomes a eco-system – More ideas – More developers – More Testers – More Bug fixers “There is no delight in owning anything unshared.” Seneca (Roman philosopher, mid-1st century AD)
  • 8. How does a Open Source Work? • Open code repository (SVN or Git etc.) • Two parts of the community – Developer Community – User Community • Communication through Mailing lists / IRC Channel – Develop mailing list – User mailing list • Bug tracking database to track errors (Jira, Bugzilla) • People submit improvements as patches through Jira etc.  Committers have write access to repository  Committers review and apply patches, and when you submit lot of them, they will make you a committer.
  • 9. History of Opensource • 1970s – UNIX, Emacs • 1984-85 - GNU project and Free Software Foundation • 1990 - GNU project almost complete .. well not OS • 1991 - Linus Torvalds announce Linux, Phython • 1993 - Net BSD and Free BSD • 1994-95 - Linux 1.0 released • 1995 - Apache, KDE, PHP • 1997 - Genome • 1999 Linux 2.2, OpenOffice • 2003 - Firefox, Android http://www.geograph.org.uk/photo/916456 http://www.fotopedia.com/items/flickr-3320704544
  • 10. Why People Contribute? • As a way to improve your profile (looking for a Job) • To gain experience • To work with “like minded” People • To be part of something bigger • To be a “Geek” • As a Job – if you a well known open source developer, chances are that you will get payed for contribution • As a competitive strategy Copyright U. S. Fish and Wildlife Service and licensed for reuse under CC License , http://www.flickr.com/photos/usfwsnortheast/4754624921 and Copyright WxMom and licensed for reuse under CC License , http://www.flickr.com/photos/wxmom/1359996991.
  • 11. • Sahahna • Apache Axis2 and other projects http://www.geograph.org.uk/photo/1842872 LKA Success Stories
  • 12. Why People use Open Source Software? • It is cheaper • It is better • Because it is open source (Religiously) • More visibility into the code, better security, auditing • If there is a problem, I can fix it • More control over releases, roadmap • Patches become available faster • Easy to understand how it works • Can fork the code if needed • Not own by one person, less risk to depend on it. • Do not have to maintain the code
  • 13. Big Data and Opensource  Most Big data tools are free  Even the state of the art is being released as opensource  Give countries like a unique opportunity with a level playing field
  • 14. Open Data  Make the data public  Advanced form of the RTI act  Opensource idea applied to data science  E.g. programs like “Code for America”
  • 15. Code Red: US healthcare.gov Rescue  $300M project, that is failing and small group of volunteers go to hackathon mode to fix it, and fix it.  See  http://radar.oreilly.com/2014/03/cod e-red_-they-have-no-use-for-someone- who-looks-and-dresses-like-me.html  http://content.time.com/time/magazi ne/article/0,9171,2166770-1,00.html
  • 16. Filtering Information with Big Data Big Data can filter information (e.g. SPAM)  Rank Information ( show most relevant articles)  Find Anomalies ( detect Fraud)  Make recommendations ( product recommendations)  Handle reputations (e.g. Ebay, Amazon) George Caleb Bingham, 1846
  • 17. Example: Reddit, Hacker News( Ranking)  Keep Your Customers  Get New Customers  Improve Operations  Monetize your data
  • 19. Urban Planning and Policy Decisions • Urban Planning – People distribution – Mobility – Waste Management – Parking • Policy Decision – What if we change minimum wage? – What are economic impact of a new law? By Aqwis - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=6810430
  • 20. Example: Big Data for Development • Done using CDR data • People density noon vs. midnight (red => increased, blue => decreased) From: http://lirneasia.net/2014/08/what-does-big-data-say-about-sri-lanka/
  • 21. Traffic  Lot of us waste time on traffic  Know where is traffic ( Google traffic does that)  Emergency Response  Know the traffic patterns  Long term planning
  • 22. Manage Donors and Charities  Sri Lanka donates a lot (even the poorest)  Does the money goes to intended place  Can we track how money is spent? https://iwringer.files.wordpress.com/2015/09/ traffic2.jpg?w=656
  • 23. Day to day Maintenance  Does the news papers are the best way to get day to day things done?  Can crowd sourcing help?  How to stop false tickets?
  • 24. Disease spread  Earlier Malaria and now dengue  Know current situation  Know overall trends ( focus on problematic areas)  Emergency Response
  • 25. Summary • There are lot Opensource, Open data, and Big Data can do for Sri Lanka • Some cases needs money!! And might be beyond us • But not for many cases – e.g. Sahana – Hackathon to build an app to decide what topics to take up in the parliament • What we really need is collaborations between domain experts and computer scientists