0:00:03.581,0:00:05.800 [upbeat music] 0:00:05.800,0:00:08.270 There will be 1.4 million jobs by 2020 0:00:08.270,0:00:09.760 in the computing related fields, 0:00:09.760,0:00:12.496 less than 29% of them are[br]gonna be filled by Americans, 0:00:12.496,0:00:16.130 and less than 3% of that[br]29% are gonna be women. 0:00:16.130,0:00:18.770 I don't think software[br]engineering is a meritocracy. 0:00:18.770,0:00:21.250 Being excellent or being[br]good at your job isn't enough 0:00:21.250,0:00:22.700 if you're a woman in tech. 0:00:22.700,0:00:24.410 This sort of phenomenon of the programmer 0:00:24.410,0:00:25.590 has really interested me. 0:00:25.590,0:00:26.423 Programmer. 0:00:26.423,0:00:27.256 Programmer. 0:00:27.256,0:00:28.230 Programmer. 0:00:28.230,0:00:31.010 It's hard to encourage[br]more women to come into 0:00:31.010,0:00:33.610 an environment that will[br]sexually harass them 0:00:33.610,0:00:34.660 and not fund up. 0:00:34.660,0:00:36.040 As soon as a woman gets introduced, 0:00:36.040,0:00:37.170 it's like a log in the water. 0:00:37.170,0:00:38.320 When companies started putting 0:00:38.320,0:00:41.230 these full diversity[br]disclosure reports out there, 0:00:41.230,0:00:42.063 it became very obvious. 0:00:42.063,0:00:43.510 Wow, there really is a problem. 0:00:44.800,0:00:46.715 This is something that we[br]need to be trying to address. 0:00:46.715,0:00:48.785 [up beat music] 0:00:48.785,0:00:50.800 Women were the pioneer programmers, 0:00:50.800,0:00:53.180 they've been written out[br]of history unfortunately. 0:00:53.180,0:00:54.350 NARRATOR 1: Grace Hopper came up 0:00:54.350,0:00:56.755 with the concept of real[br]programming languages. 0:00:56.755,0:00:58.800 Coding's magic. 0:00:58.800,0:01:02.663 I like coding because instead[br]of us being consumers, 0:01:02.663,0:01:04.617 we could be like a producer. 0:01:04.617,0:01:06.420 And the same way that everyone should know 0:01:06.420,0:01:08.040 a little bit about law[br]and everyone should know 0:01:08.040,0:01:10.110 a little bit about economics,[br]you probably should know 0:01:10.110,0:01:11.740 a little bit about computer science. 0:01:11.740,0:01:14.340 Growing up, I was actually a system kid. 0:01:14.340,0:01:16.240 I didn't know that I[br]could learn how to code 0:01:16.240,0:01:17.290 like so quickly. 0:01:17.290,0:01:19.630 The reason that there's a[br]gap is actually related to 0:01:19.630,0:01:21.520 some really real structural factors. 0:01:21.520,0:01:24.250 Girls aren't encouraged to[br]pursue computer science. 0:01:24.250,0:01:25.500 They're overlooked because you know, 0:01:25.500,0:01:27.180 it's the boys that are good in science, 0:01:27.180,0:01:30.250 and it's boys that are taking[br]apart computers at age nine. 0:01:30.250,0:01:33.590 Most students have no[br]exposure to programming. 0:01:33.590,0:01:37.300 Computer science should be a requirement 0:01:37.300,0:01:39.510 in all public schools. 0:01:39.510,0:01:41.060 This is a Rosie the Riveter Moment 0:01:41.060,0:01:42.890 because the jobs are here 0:01:42.890,0:01:44.570 and we don't have the[br]workers to fill them. 0:01:44.570,0:01:48.460 For the digital revolution[br]to truly be great. 0:01:48.460,0:01:51.710 It can't just be for[br]certain set of people. 0:01:51.710,0:01:53.840 I'm hopeful because I think[br]that the tech industry 0:01:53.840,0:01:54.990 could move the fastest. 0:01:54.990,0:01:57.010 If we see the problem, we can debug it. 0:01:57.010,0:01:59.570 This is our country, our[br]cities, our communities, 0:01:59.570,0:02:00.743 our children, our code. 0:02:04.128,0:02:06.340 NARRATOR 2: Code 0:02:06.340,0:02:07.783 Debugging, the gender gap.