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The importance of women in STEM fields | Chloe Kinderman | TEDxYouth@MBJH


from an early age I was introduced the

from an early age I was introduced the love of learning by my parents this

love of learning by my parents this

love of learning by my parents this learning was centered around literature

learning was centered around literature

learning was centered around literature and to an extent history and art our

and to an extent history and art our

and to an extent history and art our favorites included classics such as The

favorites included classics such as The

favorites included classics such as The Hobbit The Secret Garden and The

Hobbit The Secret Garden and The

Hobbit The Secret Garden and The Magician’s Nephew

Magician’s Nephew

Magician’s Nephew but what I understood of the big wide

but what I understood of the big wide

but what I understood of the big wide world science and engineering came from

world science and engineering came from

world science and engineering came from my grandmother it was at her house that

my grandmother it was at her house that

my grandmother it was at her house that I pored over those how it works books

I pored over those how it works books

I pored over those how it works books and built water filters and played with

and built water filters and played with

and built water filters and played with the circuit kit every birthday I would

the circuit kit every birthday I would

the circuit kit every birthday I would add some new science related book to my

add some new science related book to my

add some new science related book to my collection about everything from female

collection about everything from female

collection about everything from female archaeologists to microscopes I learned

archaeologists to microscopes I learned

archaeologists to microscopes I learned about these cars chemistry and ecology

about these cars chemistry and ecology

about these cars chemistry and ecology and it was through this exposure to the

and it was through this exposure to the

and it was through this exposure to the many facets of science and engineering

many facets of science and engineering

many facets of science and engineering but I fell in love with something called

but I fell in love with something called

but I fell in love with something called step in acronym that stands for science

step in acronym that stands for science

step in acronym that stands for science technology engineering math stamina is

technology engineering math stamina is

technology engineering math stamina is the magical industry responsible for a

the magical industry responsible for a

the magical industry responsible for a rapidly advancing world space

rapidly advancing world space

rapidly advancing world space exploration cancer research cutting edge

exploration cancer research cutting edge

exploration cancer research cutting edge technologies stem workers are making

technologies stem workers are making

technologies stem workers are making what was once thought preposterous

what was once thought preposterous

what was once thought preposterous commonplace the stem workforce is

commonplace the stem workforce is

commonplace the stem workforce is crucial to America’s innovative capacity

crucial to America’s innovative capacity

crucial to America’s innovative capacity and global competitiveness but there’s a

and global competitiveness but there’s a

and global competitiveness but there’s a problem the United States is falling

problem the United States is falling

problem the United States is falling behind

behind

behind yuuna the World Economic Forum ranks the

yuuna the World Economic Forum ranks the

yuuna the World Economic Forum ranks the United States as 48th in quality of math

United States as 48th in quality of math

United States as 48th in quality of math and science education out of 133

and science education out of 133

and science education out of 133 developing and developed nations these

developing and developed nations these

developing and developed nations these discrepancies translate to a stem worker

discrepancies translate to a stem worker

discrepancies translate to a stem worker shortage the United States may be short

shortage the United States may be short

shortage the United States may be short as many as 3 million highly-skilled STEM

as many as 3 million highly-skilled STEM

as many as 3 million highly-skilled STEM jobs by 2018 workers by 2018 but the

jobs by 2018 workers by 2018 but the

jobs by 2018 workers by 2018 but the shortage doesn’t stop there

shortage doesn’t stop there

shortage doesn’t stop there of all STEM jobs only 24 percent are

of all STEM jobs only 24 percent are

of all STEM jobs only 24 percent are held by women even though women hold

held by women even though women hold

held by women even though women hold around 50% of jobs in the overall

around 50% of jobs in the overall

around 50% of jobs in the overall workforce women hold a low share of stem

workforce women hold a low share of stem

workforce women hold a low share of stem undergraduate degrees particularly in

undergraduate degrees particularly in

undergraduate degrees particularly in engineering and when and women with a

engineering and when and women with a

engineering and when and women with a stem degree are less likely than their

stem degree are less likely than their

stem degree are less likely than their male counterparts

male counterparts

male counterparts to work and stem occupation this

to work and stem occupation this

to work and stem occupation this under-representation of women can even

under-representation of women can even

under-representation of women can even be seen as early as high school where

be seen as early as high school where

be seen as early as high school where some where male students are more likely

some where male students are more likely

some where male students are more likely than females to take stem AP exams such

than females to take stem AP exams such

than females to take stem AP exams such as calculus bc physics v and physics ii

as calculus bc physics v and physics ii

as calculus bc physics v and physics ii millstones are also more likely to take

millstones are also more likely to take

millstones are also more likely to take advanced computer science and

advanced computer science and

advanced computer science and engineering courses there are many

engineering courses there are many

engineering courses there are many theories as to why women are

theories as to why women are

theories as to why women are underrepresented in these fields but

underrepresented in these fields but

underrepresented in these fields but many have decided that women simply

many have decided that women simply

many have decided that women simply don’t like math and science even at this

don’t like math and science even at this

don’t like math and science even at this high school level teachers and students

high school level teachers and students

high school level teachers and students sometimes stereotyped girls interested

sometimes stereotyped girls interested

sometimes stereotyped girls interested in advanced physics and math Allen

in advanced physics and math Allen

in advanced physics and math Allen Pollock a professor of creative writing

Pollock a professor of creative writing

Pollock a professor of creative writing at the University of Michigan wrote the

at the University of Michigan wrote the

at the University of Michigan wrote the only woman in the room why science is

only woman in the room why science is

only woman in the room why science is still a boys club she spoke to a Yale

still a boys club she spoke to a Yale

still a boys club she spoke to a Yale face physics undergrad who was one of

face physics undergrad who was one of

face physics undergrad who was one of three females in her AP physics class in

three females in her AP physics class in

three females in her AP physics class in high school and the only female after

high school and the only female after

high school and the only female after the other two dropped out another

the other two dropped out another

the other two dropped out another undergrad was the only female in her AP

undergrad was the only female in her AP

undergrad was the only female in her AP physics class from its start her

physics class from its start her

physics class from its start her classmates teased her mercilessly you’re

classmates teased her mercilessly you’re

classmates teased her mercilessly you’re a girl girls can’t do physics she

a girl girls can’t do physics she

a girl girls can’t do physics she expected the teacher to put a stop to it

expected the teacher to put a stop to it

expected the teacher to put a stop to it but he didn’t as Paula herself a physics

but he didn’t as Paula herself a physics

but he didn’t as Paula herself a physics major who didn’t go into academia even

major who didn’t go into academia even

major who didn’t go into academia even though she graduated at the top of her

though she graduated at the top of her

though she graduated at the top of her class writes

class writes

class writes I didn’t continue in physics because not

I didn’t continue in physics because not

I didn’t continue in physics because not a single professor not even the advisor

a single professor not even the advisor

a single professor not even the advisor who supervised my senior thesis

who supervised my senior thesis

who supervised my senior thesis encouraged me to go to graduate school

encouraged me to go to graduate school

encouraged me to go to graduate school when told that men do better on math

when told that men do better on math

when told that men do better on math tests than women women tend to score

tests than women women tend to score

tests than women women tend to score works when not told this the two genders

works when not told this the two genders

works when not told this the two genders scored equally well

scored equally well

scored equally well there isn’t an inherent ability

there isn’t an inherent ability

there isn’t an inherent ability difference between the sexes in fact the

difference between the sexes in fact the

difference between the sexes in fact the stereotypical reasoning behind the stem

stereotypical reasoning behind the stem

stereotypical reasoning behind the stem worker shortage is in fact one of the

worker shortage is in fact one of the

worker shortage is in fact one of the very things keeping women from entering

very things keeping women from entering

very things keeping women from entering and staying in STEM fields another

and staying in STEM fields another

and staying in STEM fields another widely accepted explanation is that

widely accepted explanation is that

widely accepted explanation is that women drop out to have and care for

women drop out to have and care for

women drop out to have and care for children and while this is certainly

children and while this is certainly

children and while this is certainly true to an extent it doesn’t explain why

true to an extent it doesn’t explain why

true to an extent it doesn’t explain why the male to female ratio is so much

the male to female ratio is so much

the male to female ratio is so much higher in STEM fields than in the

higher in STEM fields than in the

higher in STEM fields than in the broader workforce it really comes down

broader workforce it really comes down

broader workforce it really comes down to the fact that women are marginalized

to the fact that women are marginalized

to the fact that women are marginalized and discriminated against in MIT

and discriminated against in MIT

and discriminated against in MIT committee found that even if women

committee found that even if women

committee found that even if women receive the faculty position they are

receive the faculty position they are

receive the faculty position they are often paid less than their male

often paid less than their male

often paid less than their male colleagues have access to less lab and

colleagues have access to less lab and

colleagues have access to less lab and office space when fewer warts and have

office space when fewer warts and have

office space when fewer warts and have access to fewer resources

access to fewer resources

access to fewer resources female software developers earn eighty

female software developers earn eighty

female software developers earn eighty percent of what men do

percent of what men do

percent of what men do these statistics hold true even in

these statistics hold true even in

these statistics hold true even in larger studies including one from the

larger studies including one from the

larger studies including one from the American Institute of physicists which

American Institute of physicists which

American Institute of physicists which looked at 100 looked at 15,000

looked at 100 looked at 15,000

looked at 100 looked at 15,000 physicists from 130 countries this

physicists from 130 countries this

physicists from 130 countries this marginalization is likely a result of

marginalization is likely a result of

marginalization is likely a result of bias females in STEM fields face

bias females in STEM fields face

bias females in STEM fields face constant prejudice against them not just

constant prejudice against them not just

constant prejudice against them not just from their male colleagues but from

from their male colleagues but from

from their male colleagues but from other females for example when presented

other females for example when presented

other females for example when presented with identical lab manager resumes from

with identical lab manager resumes from

with identical lab manager resumes from both a John and a Jennifer both male and

both a John and a Jennifer both male and

both a John and a Jennifer both male and female professors tend to depict the

female professors tend to depict the

female professors tend to depict the John as the better candidate and offer

John as the better candidate and offer

John as the better candidate and offer him more money for the position this

him more money for the position this

him more money for the position this inequality also crops up in male driven

inequality also crops up in male driven

inequality also crops up in male driven Silicon Valley where female

Silicon Valley where female

Silicon Valley where female entrepreneurs find it hard to find

entrepreneurs find it hard to find

entrepreneurs find it hard to find funding because they aren’t perceived as

funding because they aren’t perceived as

funding because they aren’t perceived as leaders but as mothers as a result

leaders but as mothers as a result

leaders but as mothers as a result females only start about 8% of venture

females only start about 8% of venture

females only start about 8% of venture backed tech startups but there are

backed tech startups but there are

backed tech startups but there are things that can be done Karen Purcell a

things that can be done Karen Purcell a

things that can be done Karen Purcell a an entrepreneur engineer and author has

an entrepreneur engineer and author has

an entrepreneur engineer and author has prevented has presented a variety of

prevented has presented a variety of

prevented has presented a variety of ways to encourage women in STEM

ways to encourage women in STEM

ways to encourage women in STEM first exposure it’s important that both

first exposure it’s important that both

first exposure it’s important that both girls and boys are exposed to stem and

girls and boys are exposed to stem and

girls and boys are exposed to stem and positive ways from a young age so that

positive ways from a young age so that

positive ways from a young age so that upon reaching high school those who are

upon reaching high school those who are

upon reaching high school those who are interested interested can pursue these

interested interested can pursue these

interested interested can pursue these fields without a negative connotation

fields without a negative connotation

fields without a negative connotation second special programs there are more

second special programs there are more

second special programs there are more and more female centered stem programs

and more female centered stem programs

and more female centered stem programs every year but they need more support on

every year but they need more support on

every year but they need more support on both the national and local level these

both the national and local level these

both the national and local level these programs are so important because

programs are so important because

programs are so important because without understanding the opportunities

without understanding the opportunities

without understanding the opportunities available to students of math and

available to students of math and

available to students of math and science young women believe they have

science young women believe they have

science young women believe they have made a mistake

made a mistake

made a mistake would face with the challenges of

would face with the challenges of

would face with the challenges of completing a stem major so they leave

completing a stem major so they leave

completing a stem major so they leave third mentorship beyond being a career

third mentorship beyond being a career

third mentorship beyond being a career advisor a role model and an advocate

advisor a role model and an advocate

advisor a role model and an advocate female mentors and STEM fields can help

female mentors and STEM fields can help

female mentors and STEM fields can help to assure girls going into stem that

to assure girls going into stem that

to assure girls going into stem that they are not alone in the end females

they are not alone in the end females

they are not alone in the end females aren’t going into STEM fields because

aren’t going into STEM fields because

aren’t going into STEM fields because they feel because society is telling

they feel because society is telling

they feel because society is telling them not to and this seems like a big

them not to and this seems like a big

them not to and this seems like a big and scary problem that we as a people

and scary problem that we as a people

and scary problem that we as a people are powerless to solve but it isn’t

are powerless to solve but it isn’t

are powerless to solve but it isn’t changing the makeup of the stem

changing the makeup of the stem

changing the makeup of the stem workforce will take time but in the wise

workforce will take time but in the wise

workforce will take time but in the wise words of Marie Curie life is hard for

words of Marie Curie life is hard for

words of Marie Curie life is hard for everyone but what if that we must have

everyone but what if that we must have

everyone but what if that we must have perseverance and both above all

perseverance and both above all

perseverance and both above all confidence in ourselves we must believe

confidence in ourselves we must believe

confidence in ourselves we must believe that we are gifted for something and

that we are gifted for something and

that we are gifted for something and that this thing must be attained thank

that this thing must be attained thank

that this thing must be attained thank you

you

you [Applause]

”

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