The document describes a mobile app and web interface being developed to standardize problem reporting for civic issues like water, electricity, roads, etc. The goal is to provide political parties, activists, and media a centralized source of data on governance issues to help evaluate performance. Citizens can report issues via the app, which classifies them by location and type. Analytics will monitor the number and location of problems to identify underperforming areas and departments. This is intended to increase transparency and accountability of elected officials and public services.

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. Elected
Leader
Public
Administration
Department
Water
Electricity
Sewage &
Sanitation
Roads
Transportatio
n
Law & Order
Junta
Needs
24x7 Water
24X7 Electricity
Sewage &
Sanitation
Education
Good Roads
HealthCare
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
Lack of infrastructure
Lack of maintainance
Lack of Quality of staff
Poor Pricing
Awareness
tmpl_id
Sys_cOde
"00"
"01"
"02"
"03"
"04"
Sys_issue_tmpl_rnage
(1,9)
(11,19)
(21,29)
(31,39)
(41,49)
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-newsusedcases

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