0:00:11.641,0:00:15.302 Growing up, I changed [br]career paths many times. 0:00:15.302,0:00:16.300 First, 0:00:16.300,0:00:18.849 I wanted to be a teacher like my mom. 0:00:18.962,0:00:22.918 And then, I wanted to be a singer,[br]the next Taylor Swift. 0:00:22.918,0:00:25.449 Finally, I wanted to be an actress 0:00:25.449,0:00:28.569 because what 10-year-old[br]doesn't want to be on Disney Channel. 0:00:28.569,0:00:31.379 Whatever I thought my future[br]occupation would be, 0:00:31.379,0:00:33.409 an engineer was not it. 0:00:33.409,0:00:35.680 Engineering wasn't even on my radar. 0:00:35.970,0:00:37.037 In my opinion, 0:00:37.037,0:00:39.124 math and science weren't for girls. 0:00:39.124,0:00:41.007 They were for nerdy boys. 0:00:41.007,0:00:43.265 It sounds silly, but it's true. 0:00:43.265,0:00:48.057 When I was a kid, I imagined engineers [br]and scientists and mathematicians 0:00:48.057,0:00:50.458 as really smart men in lab coats 0:00:50.458,0:00:53.614 discussing complex theorems, [br]years beyond my understanding. 0:00:54.074,0:00:56.266 I thought women in STEM were anomalies. 0:00:56.426,0:00:59.858 And for a woman to be an engineer, [br]she had to be some kind of prodigy. 0:01:00.608,0:01:02.522 And then one day, 0:01:02.522,0:01:05.635 my older stepsister told me[br]that she wanted to be an engineer. 0:01:05.635,0:01:08.374 And I realized then[br]that women in STEM weren't prodigies. 0:01:08.444,0:01:10.018 They could be anyone. 0:01:10.018,0:01:12.904 A female engineer doesn't [br]have to be a prodigy, 0:01:12.904,0:01:16.182 just like a male engineer [br]doesn't have to be a prodigy. 0:01:16.182,0:01:19.530 And I decided then[br]that I wanted to be an engineer too. 0:01:20.190,0:01:23.266 After making the choice[br]to follow this new career path, 0:01:23.266,0:01:26.326 I started to realize[br]it's a whole lot easier for guys. 0:01:26.486,0:01:28.633 In most cases, [br]from the time they develop, 0:01:28.633,0:01:31.848 boys are taught how to use tools[br]and put things together. 0:01:31.848,0:01:34.045 They're the ones [br]who are pushed towards cars, 0:01:34.045,0:01:36.554 and we're the ones [br]that are pushed towards Barbies. 0:01:36.554,0:01:39.337 Toys that inspire passion [br]to go to engineering, 0:01:39.337,0:01:42.645 like robots and Legos,[br]are typically marketed towards boys. 0:01:42.974,0:01:46.342 And the ones marketed towards girls [br]aren't trucks or spaceships - 0:01:46.342,0:01:48.697 they're princess castles and pet shops. 0:01:48.957,0:01:51.650 I think it's the little things[br]that cause the gender gap 0:01:51.650,0:01:53.095 in science and math careers. 0:01:53.095,0:01:56.181 The rare little comment [br]that girls aren't as smart as boys - 0:01:56.181,0:02:00.162 a son being taught how to fix a car [br]while a daughter is taught how to cook. 0:02:00.162,0:02:01.247 It's nobody's fault. 0:02:01.247,0:02:02.859 We unconsciously do these things 0:02:02.859,0:02:05.378 because gender differences[br]and inequalities are things 0:02:05.378,0:02:07.774 that have been around for a long time. 0:02:07.774,0:02:09.683 And now, they're drilled into our heads. 0:02:09.683,0:02:11.821 We solved a lot of this[br]back in the early days 0:02:11.821,0:02:14.330 with women's suffrage [br]and equal education. 0:02:14.356,0:02:17.076 And now it's time for us [br]to fix the little things, 0:02:17.076,0:02:20.097 so that we can grow even closer [br]to achieving equality. 0:02:20.807,0:02:24.090 The lack of women in STEM [br]isn't all across the board, however. 0:02:24.090,0:02:27.380 In fact, in areas such[br]as medical science and social science, 0:02:27.380,0:02:30.177 the ratio is actually very balanced. 0:02:30.177,0:02:32.783 But in areas that are often [br]considered more "taxing," 0:02:32.783,0:02:35.317 such as computer science and mathematics, 0:02:35.317,0:02:37.702 women make up about a quarter[br]of the workforce. 0:02:37.962,0:02:39.725 I want that number to even out. 0:02:39.725,0:02:42.719 There's a constant fallacy[br]that's spoken from the beginning: 0:02:43.069,0:02:46.167 teasing, stereotyping, marginalization. 0:02:46.167,0:02:47.637 Countless articles discuss 0:02:47.637,0:02:50.744 how women feel out of place[br]in classes relating to STEM, 0:02:50.744,0:02:53.784 due to reasons such as other[br]classmates mocking them 0:02:53.784,0:02:56.536 or a professor not paying [br]as much attention to them 0:02:56.536,0:02:59.198 or a lack of other female[br]classmates in the class. 0:03:00.498,0:03:02.711 And if gender inequality [br]isn't a reason enough 0:03:02.711,0:03:04.685 for wanting more women involved in STEM, 0:03:04.685,0:03:06.838 take into account [br]the scientific discoveries 0:03:06.838,0:03:08.455 that have been made by women. 0:03:08.515,0:03:12.479 Cardiovascular disease symptoms [br]were always being based off male symptoms. 0:03:13.299,0:03:16.583 Despite the fact that it manifests [br]very differently in men and women, 0:03:16.753,0:03:18.364 the average male is the model 0:03:18.364,0:03:20.972 for investigating diseases[br]and designing treatment 0:03:20.972,0:03:23.710 because men were the ones [br]doing the research. 0:03:23.830,0:03:26.349 For years, women died[br]from incorrect diagnoses 0:03:26.349,0:03:27.979 because no one took into account 0:03:27.979,0:03:30.169 that a person's sex [br]could have such an effect 0:03:30.169,0:03:31.849 on how a disease appeared. 0:03:31.849,0:03:34.998 Now that more women are getting[br]more involved in medical research, 0:03:34.998,0:03:38.288 however, they themselves are taking[br]into account these differences 0:03:38.288,0:03:40.363 and are consequently saving lives. 0:03:40.693,0:03:44.219 Women have been advancing their fields [br]farther ahead for centuries. 0:03:45.264,0:03:47.818 Ada Lovelace created a plan for a machine 0:03:47.818,0:03:50.796 that could perform complex [br]mathematical calculations. 0:03:51.086,0:03:53.280 She did this in the early 1800s. 0:03:53.280,0:03:55.215 It was never built during her lifetime, 0:03:55.215,0:03:59.018 but her plans were used a century later[br]to build the world's first computers. 0:03:59.528,0:04:04.293 One of the world's first [br]electronic computers, called the "ENIAC," 0:04:04.293,0:04:07.196 was programmed[br]by six female mathematicians. 0:04:07.626,0:04:11.769 Now, Amy Sheng, an engineer,[br]is developing a smartphone attachment 0:04:11.769,0:04:12.792 called CellScope, 0:04:12.792,0:04:16.280 which allows mothers to detect[br]ear infections in their children. 0:04:16.540,0:04:19.221 Hadiyah-Nicole Green, [br]a medical physicist, 0:04:19.221,0:04:21.009 is designing a cancer treatment 0:04:21.009,0:04:24.789 that uses lasers to destroy[br]cancer cells exclusively. 0:04:24.789,0:04:28.799 Despite these achievements,[br]women are still isolated in STEM fields. 0:04:28.799,0:04:31.866 I can also get into other problems [br]such as the gender pay gap. 0:04:31.866,0:04:35.002 But the fact is that we have [br]made so much progress, 0:04:35.002,0:04:38.055 and yet we are still miles away [br]from the finish line. 0:04:38.055,0:04:40.965 It's because of the internalized[br]beliefs we don't get it, 0:04:40.965,0:04:43.436 plus it's the type[br]for both men and for women. 0:04:43.436,0:04:47.327 Project Implicit conducted [br]an investigation on half a million people, 0:04:47.327,0:04:49.273 and found that 70% of them 0:04:49.273,0:04:53.564 automatically associate men with science[br]and women with the arts. 0:04:54.142,0:04:56.070 My goal is to get the word out there 0:04:56.070,0:04:59.427 that any little girl or boy[br]can be anything they want to be, 0:04:59.427,0:05:00.677 including an engineer. 0:05:00.677,0:05:04.175 They don't have to be a prodigy [br]to be a scientist or mathematician. 0:05:04.175,0:05:05.979 As long as they work hard, 0:05:05.979,0:05:08.176 they can be anything[br]they would like to be. 0:05:08.176,0:05:10.917 Parents, teachers, and friends [br]shouldn't hold them back. 0:05:10.917,0:05:12.392 They should encourage them. 0:05:12.392,0:05:14.972 I want that internalized bias to be gone 0:05:14.972,0:05:18.000 because that's what stopped me[br]from wanting to be an engineer 0:05:18.000,0:05:19.070 when I was little. 0:05:19.070,0:05:22.871 And I don't want to stop anyone else[br]from wanting to be an engineer ever again. 0:05:22.871,0:05:24.053 Thank you. 0:05:24.053,0:05:27.031 (Applause) (Cheers)