I come from India, a developing
country which has the second largest population in the world. The huge population
along with economic and political situation brings numerous problems with it;
poverty, numerous diseases, lack of education, corruption, uneven distribution
of wealth and so on. Government alone cannot fight against every problem and
hence NGO’s and various organizations try to support government through various
campaigns to fight the problems mentioned. A lot of resource and money is
required to fight the basic problems and NGO’s necessarily do not have every
resource.
Then how do these organizations
get the resource and funding? They find people and for-profit organizations who
have similar aspirations and get them on-board in this fight to make the country,
a better place to live in. Many industries like Reliance, Wipro etc., have their
own unit which does this philanthropy works and many more support other
organizations. Individuals who are interested in the philanthropic works support
either the bigger NGO’s or a smaller one which they know and is close to the
place they live.
There are very large number of
such organizations in India right now and when I was working, I used to get a
lot of calls from organizations to support them. Some were reputed, whereas
others were unknown. I had read reports of fake NGO’s which collected money
from people and vanish overnight. Many private institutions open NGO’s to evade
tax and these NGO’s do not do any work other than helping the owner save tax. Even
after people supporting the NGO’s, it is unclear about how the money was spent
as many NGO’s look suspicious. Many, who support do not know where the money
went after they donate and several such scams exist. I have been on the receiving
end of such scam as well.
Then, how can we solve this problem
of fake NGO’s and track the resources spent by the NGO’s?
We can use Social Network
Analysis to solve this problem. Through social network analysis, we can build a
network of NGO’s and donors. We can record all the data of the NGO’s and the
work done by them and link the donors to them. Thus, donors will have a clear
picture of the NGO and the work done. This way, we can bring more people
on-board who look that there are developments happening with the philanthropic
activities.
The main data required for this
analysis are:
Ø List
of all philanthropic activities
Ø List
of NGO’s and area of philanthropic activity
Ø Donors
list and personal and interest details associated with each NGO
Ø List
of initiatives taken by NGO
Ø Network
of donors within specific NGO and between NGO’s
The data required are a bit hard
to find. A lot of surveys are required to get the data. NGO data can be obtained
once we gather the list of NGO’s operating. Their activities and initiatives
can also be found out as these organizations present the data when asked for. It
is the donor’s data, which presents the challenge. Many donors wish to be
anonymous and such people may not help providing the required data. We may have
to spend more time with such people to explain the benefits of such a network
and this will be a challenge.
The main benefits of such a
network are:
Ø NGO’s
list will be available to everyone and the work they do will also be public
Ø Donors
can look the work done from their donations
Ø This
in-turn will increase the interest in many to do philanthropic activities
Ø No
scams and fake NGO’s
Ø Friends
and family of a donor will be influenced to do philanthropic activities, thus
increasing the network effect
Thus, with such a network
developed, we can measure the strength of ties between the NGO’s and their
donors. The density between the donors and their personal network will help in
developing the network and thus the growth can take place. With such a network,
when everyone is aware of the fact that work is being done, more and more
people will jump in and help out the organizations. Thus making the world, a
safer, secure and happy place.
Bharath Gorur Manjunath
Bharath Gorur Manjunath
1 comment:
A really interesting idea: "Spot the Dodger" in the NGO world. It clearly is a real problem, and I applaud your considered thought on using SNA to isolate or identify the culprits. What I struggle with is how SNA can do this. You'd have to establish a pattern of connections that might be used by real NGOs vs. those commonly used by fake ones. The measures you mention in your last paragraph aren't robust enough, but that doesn't mean it can't be done. It just requires some more thought.
Post a Comment