A bold plan to empower 1.6 million out-of-school girls in India
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0:02 - 0:05The world today has many problems.
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0:05 - 0:10And they're all very complicated
and interconnected and difficult. -
0:10 - 0:13But there is something we can do.
-
0:13 - 0:14I believe
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0:14 - 0:19that girls' education is the closest thing
we have to a silver bullet -
0:19 - 0:23to help solve some of the world's
most difficult problems. -
0:23 - 0:25But you don't have to take my word for it.
-
0:25 - 0:27The World Bank says
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0:27 - 0:30that girls' education
is one of the best investments -
0:30 - 0:32that a country can make.
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0:32 - 0:34It helps to positively impact
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0:34 - 0:38nine of the 17 Sustainable
Development Goals. -
0:38 - 0:42Everything from health,
nutrition, employment -- -
0:42 - 0:46all of these are positively impacted
when girls are educated. -
0:48 - 0:53Additionally, climate scientists
have recently rated girls' education -
0:53 - 0:59at number six out of 80 actions
to reverse global warming. -
0:59 - 1:04At number six, it's rated higher
than solar panels and electric cars. -
1:06 - 1:08And that's because
when girls are educated, -
1:08 - 1:10they have smaller families,
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1:10 - 1:14and the resulting reduction in population
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1:14 - 1:17reduces carbon emissions significantly.
-
1:18 - 1:23But more than that, you know,
it's a problem we have to solve once. -
1:23 - 1:27Because an educated mother
is more than twice as likely -
1:27 - 1:29to educate her children.
-
1:29 - 1:31Which means that by doing it once,
-
1:31 - 1:35we can close the gender
and literacy gap forever. -
1:35 - 1:37I work in India,
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1:37 - 1:40which has made incredible progress
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1:40 - 1:43in bringing elementary education for all.
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1:43 - 1:47However, we still have
four million out-of-school girls, -
1:47 - 1:49one of the highest in the world.
-
1:50 - 1:54And girls are out of school
because of, obviously poverty, -
1:54 - 1:56social, cultural factors.
-
1:56 - 1:59But there's also this
underlying factor of mindset. -
2:00 - 2:04I have met a girl
whose name was Naraaz Nath. -
2:04 - 2:06Naaraaz means angry.
-
2:06 - 2:08And when I asked her,
"Why is your name 'angry'?" -
2:08 - 2:13she said, "Because everybody
was so angry when a girl was born." -
2:14 - 2:17Another girl called Antim Bala,
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2:17 - 2:19which means the last girl.
-
2:19 - 2:22Because everybody hoped
that would be the last girl to be born. -
2:24 - 2:25A girl called Aachuki.
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2:26 - 2:28It means somebody who has arrived.
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2:28 - 2:32Not wanted, but arrived.
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2:32 - 2:34And it is this mindset
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2:34 - 2:37that keeps girls from school
or completing their education. -
2:37 - 2:40It's this belief that a goat is an asset
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2:40 - 2:42and a girl is a liability.
-
2:45 - 2:48My organization Educate Girls
works to change this. -
2:48 - 2:51And we work in some
of the most difficult, rural, -
2:51 - 2:53remote and tribal villages.
-
2:54 - 2:56And how do we do it?
-
2:56 - 2:58We first and foremost find
-
2:58 - 3:02young, passionate, educated youth
from the same villages. -
3:02 - 3:04Both men and women.
-
3:04 - 3:06And we call them Team Balika,
-
3:06 - 3:07balika just means the girl child,
-
3:08 - 3:10so this is a team that we are creating
for the girl child. -
3:11 - 3:14And so once we recruit
our community volunteers, -
3:14 - 3:18we train them, we mentor them,
we hand-hold them. -
3:18 - 3:20That's when our work starts.
-
3:20 - 3:24And the first piece we do
is about identifying every single girl -
3:24 - 3:27who's not going to school.
-
3:27 - 3:30But the way we do it
is a little different and high-tech, -
3:30 - 3:32at least in my view.
-
3:32 - 3:35Each of our frontline staff
have a smartphone. -
3:35 - 3:38It has its own Educate Girls app.
-
3:38 - 3:41And this app has everything
that our team needs. -
3:41 - 3:46It has digital maps of where
they're going to be conducting the survey, -
3:46 - 3:49it has the survey in it,
all the questions, -
3:49 - 3:52little guides on how best
to conduct the survey, -
3:52 - 3:56so that the data that comes to us
is in real time and is of good quality. -
3:57 - 3:58So armed with this,
-
3:58 - 4:02our teams and our volunteers
go door-to-door -
4:02 - 4:05to every single household
to find every single girl -
4:05 - 4:08who may either we never enrolled
or dropped out of school. -
4:08 - 4:12And because we have this data
and technology piece, -
4:12 - 4:15very quickly we can figure out
who the girls are and where they are. -
4:16 - 4:18Because each of our
villages are geotagged, -
4:18 - 4:20and we can actually
build that information out -
4:20 - 4:22very, very quickly.
-
4:23 - 4:25And so once we know where the girls are,
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4:25 - 4:29we actually start the process
of bringing them back into school. -
4:29 - 4:32And that actually is just
our community mobilization process, -
4:32 - 4:35it starts with village meetings,
neighborhood meetings, -
4:35 - 4:39and as you see, individual counseling
of parents and families, -
4:39 - 4:42to be able to bring the girls
back into school. -
4:42 - 4:47And this can take anything
from a few weeks to a few months. -
4:48 - 4:50And once we bring the girls
into the school system, -
4:50 - 4:52we also work with the schools
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4:52 - 4:55to make sure that schools
have all the basic infrastructure -
4:55 - 4:57so that the girls will be able to stay.
-
4:57 - 5:00And this would include
a separate toilet for girls, -
5:00 - 5:02drinking water,
-
5:02 - 5:05things that will help them to be retained.
-
5:05 - 5:09But all of this would be useless
if our children weren't learning. -
5:09 - 5:12So we actually run a learning program.
-
5:12 - 5:14And this is a supplementary
learning program, -
5:14 - 5:16and it's very, very important,
-
5:16 - 5:20because most of our children
are first-generation learners. -
5:20 - 5:23That means there's nobody at home
to help them with homework, -
5:23 - 5:25there's nobody who can support
their education. -
5:25 - 5:27Their parents can't read and write.
-
5:27 - 5:28So it's really, really key
-
5:28 - 5:33that we do the support
of the learning in the classrooms. -
5:33 - 5:35So this is essentially our model,
-
5:35 - 5:37in terms of finding,
bringing the girls in, -
5:37 - 5:39making sure that
they're staying and learning. -
5:40 - 5:42And we know that our model works.
-
5:42 - 5:44And we know this because
-
5:44 - 5:47a most recent randomized
control evaluation -
5:47 - 5:49confirms its efficacy.
-
5:51 - 5:55Our evaluator found
that over a three-year period -
5:55 - 6:00Educate Girls was able to bring back
92 percent of all out-of-school girls -
6:00 - 6:01back into school.
-
6:01 - 6:08(Applause)
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6:08 - 6:09And in terms of learning,
-
6:09 - 6:12our children's learning
went up significantly -
6:12 - 6:14as compared to control schools.
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6:14 - 6:18So much so, that it was
like an additional year of schooling -
6:18 - 6:20for the average student.
-
6:20 - 6:21And that's enormous,
-
6:21 - 6:25when you think about a tribal child
who's entering the school system -
6:25 - 6:26for the first time.
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6:27 - 6:29So here we have a model that works;
-
6:29 - 6:31we know it's scalable,
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6:31 - 6:35because we are already functioning
at 13,000 villages. -
6:35 - 6:36We know it's smart,
-
6:36 - 6:39because of the use of data and technology.
-
6:39 - 6:42We know that it's
sustainable and systemic, -
6:42 - 6:45because we work in partnership
with the community, -
6:45 - 6:47it's actually led by the community.
-
6:47 - 6:50And we work in partnership
with the government, -
6:50 - 6:52so there's no creation
of a parallel delivery system. -
6:53 - 6:57And so because we have
this innovative partnership -
6:57 - 7:01with the community,
the government, this smart model, -
7:01 - 7:04we have this big, audacious dream today.
-
7:05 - 7:09And that is to solve
a full 40 percent of the problem -
7:09 - 7:12of out-of-school girls in India
in the next five years. -
7:13 - 7:19(Applause)
-
7:19 - 7:22And you're thinking, that's a little ...
-
7:22 - 7:25You know, how am I even thinking
about doing that, -
7:25 - 7:29because India is not a small place,
it's a huge country. -
7:30 - 7:33It's a country of over a billion people.
-
7:33 - 7:37We have 650,000 villages.
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7:37 - 7:38How is it that I'm standing here,
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7:38 - 7:40saying that one small organization
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7:40 - 7:43is going to solve a full
40 percent of the problem? -
7:44 - 7:47And that's because we have a key insight.
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7:47 - 7:48And that is,
-
7:48 - 7:53because of our entire approach,
with data and with technology, -
7:53 - 7:55that five percent of villages in India
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7:55 - 7:58have 40 percent
of the out-of-school girls. -
7:58 - 8:01And this is a big,
big piece of the puzzle. -
8:01 - 8:04Which means, I don't have to work
across the entire country. -
8:04 - 8:07I have to work in those
five percent of the villages, -
8:07 - 8:10about 35,000 villages,
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8:10 - 8:13to actually be able to solve
a large piece of the problem. -
8:14 - 8:15And that's really key,
-
8:15 - 8:18because these villages
-
8:18 - 8:21not only have high burden
of out-of-school girls, -
8:21 - 8:24but also a lot of
related indicators, right, -
8:24 - 8:29like malnutrition, stunting,
poverty, infant mortality, -
8:29 - 8:31child marriage.
-
8:31 - 8:33So by working and focusing here,
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8:33 - 8:35you can actually create
a large multiplier effect -
8:35 - 8:38across all of these indicators.
-
8:38 - 8:39And it would mean
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8:39 - 8:43that we would be able to bring back
1.6 million girls back into school. -
8:45 - 8:51(Applause)
-
8:52 - 8:55I have to say, I have been
doing this for over a decade, -
8:55 - 9:00and I have never met a girl
who said to me, -
9:00 - 9:02you know, "I want to stay at home,"
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9:02 - 9:03"I want to graze the cattle,"
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9:03 - 9:05"I want to look after the siblings,"
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9:06 - 9:08"I want to be a child bride."
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9:08 - 9:12Every single girl I meet
wants to go to school. -
9:13 - 9:15And that's what we really want to do.
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9:15 - 9:19We want to be able to fulfill
those 1.6 million dreams. -
9:21 - 9:22And it doesn't take much.
-
9:22 - 9:26To find and enroll a girl
with our model is about 20 dollars. -
9:26 - 9:29To make sure that she is learning
and providing a learning program, -
9:29 - 9:31it's another 40 dollars.
-
9:31 - 9:34But today is the time to do it.
-
9:34 - 9:38Because she is truly
the biggest asset we have. -
9:38 - 9:41I am Safeena Husain, and I educate girls.
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9:41 - 9:42Thank you.
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9:42 - 9:46(Applause)
- Title:
- A bold plan to empower 1.6 million out-of-school girls in India
- Speaker:
- Safeena Husain
- Description:
-
"Girls' education is the closest thing we have to a silver bullet to help solve some of the world's most difficult problems," says social entrepreneur Safeena Husain. In a visionary talk, she shares her plan to enroll a staggering 1.6 million girls in school over the next five years -- combining advanced analytics with door-to-door community engagement to create new educational pathways for girls in India. (This ambitious plan is part of the Audacious Project, TED's initiative to inspire and fund global change.)
- Video Language:
- English
- Team:
closed TED
- Project:
- TEDTalks
- Duration:
- 09:59
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Brian Greene edited English subtitles for A bold plan to empower 1.6 million out-of-school girls in India | |
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Brian Greene edited English subtitles for A bold plan to empower 1.6 million out-of-school girls in India | |
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Brian Greene edited English subtitles for A bold plan to empower 1.6 million out-of-school girls in India | |
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Brian Greene approved English subtitles for A bold plan to empower 1.6 million out-of-school girls in India | |
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Brian Greene edited English subtitles for A bold plan to empower 1.6 million out-of-school girls in India | |
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Joanna Pietrulewicz accepted English subtitles for A bold plan to empower 1.6 million out-of-school girls in India | |
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Joanna Pietrulewicz edited English subtitles for A bold plan to empower 1.6 million out-of-school girls in India | |
![]() |
Joanna Pietrulewicz edited English subtitles for A bold plan to empower 1.6 million out-of-school girls in India |