Bit detailed Overview of Platform

4. • We were volunteers for six months for a
political party for a particular AC, in recently
held Karnataka Assembly election.
• Whatever we Observed and learnt as a
volunteer, based on that We are trying to
build a tool that can help real stake holders of
public governance.

8. Department
Water
Electricity
Sewage &
Sanitation
Roads
Transportation
Law & Order
Education
HealthCare
Junta
Public
Administration
Elected Leader
Needs
24x7 Water
24X7 Electricity
Sewage &
Sanitation
Good Roads
Transportation
Law & Order
Education
HealthCare

9. • Local level politics is all about civic amenities.
– Water , electricity ,sewage & sanitation , roads ,
public transportation , Law &order.
– Most people are affected by poor qualities of
these things.
– Not everybody is aware of full extent of the
problem
– How many people are affected , what all areas of
constituency we have these problems etc.

10. • Data collection is a very big challenge.
• Political parties, party workers do the jobs of
problem collection.
• But still, majority don’t get to participate.
• Reason, raising issue is not very simple,
tracking them and coordinating affected
people 10x harder.
• Many people raise the same issue in different
manner.

11. • So, we decided to develop Mobile app & web
Interface to standardize the problem
collection.
• So that later political parties , RTI activist ,
press have the same data to evaluate
governance.
• Data generation is crowd sourced.

18. Few Details

19. • It allows user to raise complaint under following civic
amenities:
– Water
– Electricity
– Roads
– Sewage & Sanitation
– Transportation
– Law & Order
• Future things
– Food ( hoarding , affordability )
– Home ( high rents , illegal construction , encroachment)
– Health ( not availability of near by hospital , pre-birth gender
detection , illegal organ trade , unhygienic , high charges )

20. • All complaints are classified under following
system level categories
Deduction
Lack of Infra Mostly corruption
Lack of Maintain Poor governance
Lack of Quality staff Staff not uptodate
Exorbitant pricing Government need
to price control
Lack of Awareness Government need
to make people
aware // Run
awareness TV ADs

21. • Example for water:
System Sys_cOde Sys_issue_tmpl_rnage
Lack of infrastructure "00" (1,9)
Lack of maintainance "01" (11,19)
Lack of Quality of staff "02" (21,29)
Poor Pricing "03" (31,39)
Awareness "04" (41,49)
tmpl_id water
1 1)No municipality water in this area.
2 2) we have to heavily rely on tankers for water supply ,,, please look into it.
11 3) water pipes leaking all over the place , water contamination dangers.
12 4) Municipality water tastes bad/oily.
21 5) Water department staff very rude .
22 6) Water department staff totally outdated .. Stoneage
31 7) water bills are too high.
32 8) water becoming totally inaffordable.
41 9) Don't know how water comes to the city , please launch a water awareness day.

22. • Many people do not know the internal working of
department .
• They are reluctant to report a problem
• Problem bothers public as whole, individuals do
not want to lead , and be focus of attention.
• Citizens talks among themselves , but as a whole
at constituency level problems are not
highlighted.
• This app helps them to raise issue at their time ,
just one constraint raise the issue from where
problem exists.

23. How It Works
• Citizens when finds a problem , raise via app
• Data goes to central server .
• Data is sorted based on constituency ,
Issue_category , Issue_tmpld_id .
• Line chart , bar chart , graph charts are made out
of Data , publishing the health of constituency .
• List of non-performing departments .
• Based on analysis tool suggests measure required
to improve governance.

24. Model of problem Addressing:
• Our problem solving heavily relies on pressure
building in short term , developing
performance oriented mindset for electing
leaders In long term .
• There is no case open/close business , since
we are targeting public problems , case
open/close model does not make sense.

25. • Model of problem Addressing:
– Less cumbersome for citizen to raise problem in
their neighborhood or elsewhere related to civic
amenity.
– Introducing a case , open & close system will lead
to too much of hassle for citizen , red-tapism will
be involved , individual may be targeted to close
the case , so on so forth.
– Moreover keeping track of things put onus on
citizens that can lead to less participation.

26. Support arguments
• Our model is just like news world
• Raise it till it is not solved.
• Generated Data will be used to measure the
health of that amenity .
• Overall the performance of elected
representative.

27. Checks & Balances
• Message limit || Data pollution Control
• 10 tweets a day limit.
• Captcha on after 5 tweets.
• App disabled for the day after 10 tweets.
• Moreover Data is tied to location , or will be visualized on map
along with number , not easy to pollute without Distributed attack .
• That means one need to have an army of dedicated 10,000 people ,
to turn data into garbage , that’s close to impossible on sustained
basis.
• Future measures , to introduce Login & Registration System,
Tweets/message generated can be easily tied to a users .

28. Platform Benefits
• Lets citizens point out , systems fault without any
hassle , will increase citizens participation.
• All real stake holder has access to same
information .
• Removes information gap , brings transparency.
• Brings leader close to it’s people .
• Real time performance of constituency .
• Area of improvements are clearly pointed out ,
should speed up the local–level administrative
reforms.

31. • Now when a citizen , have to complaint about the
quality of any of the civic amenity ,
• He/she does via app .
• Data generated goes to the server.
• Based on Lat/long we put it under correct
constituency.
• Thus issue or problem are out in open.
• Opposition parties , RTI activist , press have the
access to same information.

32. • Now we have high level of transparency , in
term of work done by current government.
• And also where people want them to improve
.
• Thus easing the jobs of everybody involved.
• What impact it will have ??? 
– You be the judge

33. Backend Analytics ( Recap)
• Assume that we have such data available from all parts of the city .
• We can publish Real-time relative performance of MLA’s.
• Also, Now its easy for RTI activist to file RTI to bring out corruption in areas of civic amenities
( roads/electricity/water/sewage & sanitation/transportation)
– Thus effective use of Citizen Charter and RTI Act.
• To an extent , App does the job of an party workers , not only party worker , all citizens are
empowered to participate in highlighting mis-governance.
• If such an app has user base in all metro , then we can do Real-time , factual evaluation of
governance by Ruling Party , bypassing pseudo image building..
– Making it easy to validate claims
– For e.g sitting in Bangalore you know civic amenities/citizen satisfaction for each every constituency of Delhi
– Making it hard , to say anything but the truth.
– No Glorious claims without real work

34. • If we put it together with GIS /Maps technology,
what we get a very powerful feedback tool.
• This can be very useful to all real stake holders in
public governance ( citizens , people
representatives , RTI Activists , Press).
• We have covered few used cases in following
document:
http://www.slideshare.net/rakeshpsingh7/micro-
news-usedcases

35. • Such Visual/Map based Analytics is made
available to all.
• To students , grooming them for future way of
local governance.
• To Citizen , RTI Activists / NGO’s.
• To struggling political parties, trying to
connect with people .

36. Platform Benefit for Students/NGO’s
• Students : there are close to 8 Crore students in class 6
to 12th , with social science (civics) as one of the
subjects , some way this platform can be treated as live
lab for the subject.
• NGO’s: there are close to 33lakh of them, one per 400
ppl. , most of them are active in areas, traditionally
associated with government. In total they receive
around 40-80k crore of donation annually, to do the
same work , which govt. tries to do with amount at
least 10 times of that , what we thought instead of
patch work , if we bridge the gap , thus making
traditional governance more efficient and accountable ,
we will make more impact.

40. Data-Set Requirement ( for 6 metros)
• Political boundary Data-set
– Ward boundaries
– Assembly constituency Boundary
– Parliamentary Constituency boundary
• Elected Representatives Database
– All corporators
– All MLA
– ALL MP’s