1 00:00:15,076 --> 00:00:25,396 Speaker 1: Pushkin. This is solvable. I'm Jacob Weisberg. If they can 2 00:00:25,476 --> 00:00:28,876 Speaker 1: decode information and build a website or build an up 3 00:00:28,916 --> 00:00:31,996 Speaker 1: and get some skills to help them get money, they 4 00:00:31,996 --> 00:00:36,076 Speaker 1: wouldn't be trafficked, they wouldn't be young prostitutes, they wouldn't 5 00:00:36,076 --> 00:00:38,396 Speaker 1: be abused because they have to depend on someone else. 6 00:00:38,396 --> 00:00:41,756 Speaker 1: So I'm trying to change society problems at the same 7 00:00:41,796 --> 00:00:44,516 Speaker 1: time giving young women skills so they don't end up 8 00:00:44,556 --> 00:00:48,476 Speaker 1: like myself. Mary amgem is the founder of I Am 9 00:00:48,516 --> 00:00:53,036 Speaker 1: the Code, or organization teaches young people computer literacy and coding. 10 00:00:53,596 --> 00:00:56,356 Speaker 1: According to the Worldwide Web Foundation, men continue to be 11 00:00:56,396 --> 00:00:59,196 Speaker 1: twenty one percent more likely to be online than women, 12 00:00:59,556 --> 00:01:02,356 Speaker 1: and they're around fifty percent more likely to be online 13 00:01:02,636 --> 00:01:05,676 Speaker 1: when we look at the world's least developed countries. That 14 00:01:05,876 --> 00:01:09,996 Speaker 1: gap represents a huge difference in access acts as to information, 15 00:01:10,356 --> 00:01:13,676 Speaker 1: access to learning, and engagement with the rest of the world. 16 00:01:14,116 --> 00:01:16,596 Speaker 1: We are helping young women to become due to the intelligent. 17 00:01:17,036 --> 00:01:20,116 Speaker 1: They knew how Instagram was crazy, how Facebook was created, 18 00:01:20,516 --> 00:01:23,076 Speaker 1: and we help them get into the information where they 19 00:01:23,116 --> 00:01:26,676 Speaker 1: knew how actually the solution were created. My interview with 20 00:01:26,716 --> 00:01:29,796 Speaker 1: Maryam jam first Round last year, we wanted to air 21 00:01:29,836 --> 00:01:34,276 Speaker 1: it again as a bit of holiday inspiration. Mariam's example 22 00:01:34,356 --> 00:01:36,796 Speaker 1: shows that people who seem to have the least power 23 00:01:36,796 --> 00:01:40,076 Speaker 1: in the world can make a tremendous difference through sheer 24 00:01:40,116 --> 00:01:44,996 Speaker 1: determination and creative thinking. It's also a reminder that smart 25 00:01:45,116 --> 00:01:48,876 Speaker 1: investments can have a transformative impact on the lives of 26 00:01:49,036 --> 00:01:52,556 Speaker 1: large numbers of people. My solvable is to get one 27 00:01:52,596 --> 00:01:55,276 Speaker 1: million women and girls to learn how to code by 28 00:01:55,316 --> 00:02:06,036 Speaker 1: the year twenty twenty. Mary. Obviously, your efforts to teach 29 00:02:06,316 --> 00:02:10,716 Speaker 1: girls to code reflects your own experience. I wonder if 30 00:02:10,716 --> 00:02:12,516 Speaker 1: you can tell me a little bit about how you 31 00:02:12,596 --> 00:02:16,676 Speaker 1: came to this idea. I am from Senegal, West Africa. 32 00:02:16,716 --> 00:02:19,116 Speaker 1: That's where I was born. When I was growing up, 33 00:02:19,116 --> 00:02:21,356 Speaker 1: I didn't have any education, so I didn't go to school. 34 00:02:22,396 --> 00:02:24,796 Speaker 1: I couldn't read and write until I was sixteen years old, 35 00:02:25,116 --> 00:02:28,116 Speaker 1: and when I was eleven years old, I was abused 36 00:02:28,156 --> 00:02:31,076 Speaker 1: by my colonic teacher. My country is a Muslim country, 37 00:02:31,236 --> 00:02:34,076 Speaker 1: so when I was thirteen years old, I was trafficked 38 00:02:34,076 --> 00:02:37,636 Speaker 1: from Senegal to France. I ended up in the UK, 39 00:02:38,076 --> 00:02:39,956 Speaker 1: so I used to do cleaning jobs and working in 40 00:02:40,076 --> 00:02:43,276 Speaker 1: bars and hotels. I see people in suit and things 41 00:02:43,276 --> 00:02:45,276 Speaker 1: like that. And I wanted to find a job. And 42 00:02:45,836 --> 00:02:48,156 Speaker 1: I remember that, you know, some of the ladies were 43 00:02:48,196 --> 00:02:49,996 Speaker 1: telling me, you know, we can't find your job because 44 00:02:49,996 --> 00:02:52,556 Speaker 1: you don't have any skills. We can't put you in banks, 45 00:02:52,716 --> 00:02:55,476 Speaker 1: or we can't put you, you know, in supermarkets things 46 00:02:55,516 --> 00:02:58,276 Speaker 1: like that, because you need to communicate. Also you need 47 00:02:58,316 --> 00:03:01,156 Speaker 1: to speak English. My English was very, very broken. And 48 00:03:01,196 --> 00:03:04,236 Speaker 1: then slowly, slowly I started going to a local library 49 00:03:04,236 --> 00:03:07,196 Speaker 1: and learning how to read, and you know, being very 50 00:03:07,196 --> 00:03:11,036 Speaker 1: disciplined and focus and every day I'll spend two hours 51 00:03:11,076 --> 00:03:15,276 Speaker 1: at the library. And then I started learning match and 52 00:03:15,716 --> 00:03:19,796 Speaker 1: how to imput data on Excel. I started to learn 53 00:03:19,836 --> 00:03:22,916 Speaker 1: how to code. In that time, Google was born. On 54 00:03:22,956 --> 00:03:26,476 Speaker 1: their platform, they had a blog. People can write and 55 00:03:26,516 --> 00:03:28,756 Speaker 1: then the blog will be converted, you know, so you 56 00:03:28,756 --> 00:03:31,116 Speaker 1: can write some texts and the text will be converted 57 00:03:31,116 --> 00:03:34,716 Speaker 1: into into blog. And I discovered that. But in that 58 00:03:34,876 --> 00:03:37,876 Speaker 1: time I had had so many anger in me and 59 00:03:37,996 --> 00:03:40,996 Speaker 1: sow me frustration. I was asking myself why I was 60 00:03:41,036 --> 00:03:43,916 Speaker 1: in the UK, you know, why my mum abandoned us 61 00:03:43,916 --> 00:03:46,476 Speaker 1: as children. So I had a lot of vucations and 62 00:03:46,516 --> 00:03:50,476 Speaker 1: then I was looking at BBC and TV and all 63 00:03:50,516 --> 00:03:53,196 Speaker 1: these channels and then I just saw Bob Geldof and 64 00:03:53,276 --> 00:03:58,516 Speaker 1: Bono doing the doing the live aid things. That just 65 00:03:58,636 --> 00:04:00,916 Speaker 1: really makes me very upset. And I think that the 66 00:04:00,956 --> 00:04:03,116 Speaker 1: way they came about was like, you know, okay, we 67 00:04:03,196 --> 00:04:05,716 Speaker 1: are the saviors of Africa. We're going to save the 68 00:04:05,716 --> 00:04:08,556 Speaker 1: whole world. You were upset because it was it seemed 69 00:04:08,556 --> 00:04:11,396 Speaker 1: condacn the interial. Yeah, it was really weird because I 70 00:04:11,436 --> 00:04:14,516 Speaker 1: saw that, you know, like everybody was talking about poverty. 71 00:04:14,596 --> 00:04:17,756 Speaker 1: And then I said, well, you know, actually I was 72 00:04:17,836 --> 00:04:20,276 Speaker 1: this sort of I was this young women in Africa 73 00:04:20,356 --> 00:04:22,396 Speaker 1: growing up and you didn't do anything about it, and 74 00:04:22,636 --> 00:04:24,516 Speaker 1: you know, it wasn't their fault really, but I think 75 00:04:24,876 --> 00:04:28,916 Speaker 1: people could understand my frustration. And then I wrote an 76 00:04:28,956 --> 00:04:32,316 Speaker 1: open letter to Bono and Bob Geldof for the first 77 00:04:32,356 --> 00:04:35,196 Speaker 1: time and asked them to back off from Africa. You 78 00:04:35,236 --> 00:04:37,276 Speaker 1: wrote to them, just to make this clear. I'm the 79 00:04:37,316 --> 00:04:40,916 Speaker 1: blog that you created after teaching yourself to read and write, 80 00:04:41,036 --> 00:04:44,196 Speaker 1: teaching yourself to code, and building yourself at a at 81 00:04:44,196 --> 00:04:47,716 Speaker 1: a public library. Yeah, my first open letter was to 82 00:04:48,036 --> 00:04:50,556 Speaker 1: Bob Geldof and Bono. They were just asking them to 83 00:04:50,556 --> 00:04:53,156 Speaker 1: back off from Africa. And then the Guardiant Pick It 84 00:04:53,276 --> 00:04:55,836 Speaker 1: Up show it to Bob Geldof. He didn't like it. 85 00:04:56,596 --> 00:04:58,756 Speaker 1: You know, Bono didn't like it either, and they thought 86 00:04:58,756 --> 00:05:01,516 Speaker 1: that I was very ungrateful as an African. And then 87 00:05:01,876 --> 00:05:04,076 Speaker 1: you know, in the end they actually saw, you know, 88 00:05:04,156 --> 00:05:07,836 Speaker 1: my point, and that created a one International, which is 89 00:05:07,876 --> 00:05:10,996 Speaker 1: now Bono's deization. I got called to come in and 90 00:05:11,036 --> 00:05:14,196 Speaker 1: find a way to help them understand that the message 91 00:05:14,236 --> 00:05:17,356 Speaker 1: they're trying to portray in Europe is to too different 92 00:05:17,356 --> 00:05:20,556 Speaker 1: to what's happening on the ground. It's such an amazing 93 00:05:21,316 --> 00:05:28,196 Speaker 1: story that after suffering this abuse and neglect, lack of education, sixteen, 94 00:05:28,996 --> 00:05:32,516 Speaker 1: you taught yourself to do all of these things that 95 00:05:33,556 --> 00:05:37,236 Speaker 1: people with tremendous opportunities in many cases haven't haven't learned 96 00:05:37,236 --> 00:05:40,036 Speaker 1: to do, such as coding the way you have. I mean, 97 00:05:40,076 --> 00:05:43,236 Speaker 1: it raises the question, Marian, whether you're just an extraordinary 98 00:05:43,316 --> 00:05:46,116 Speaker 1: person or whether you're a model that a lot of 99 00:05:46,236 --> 00:05:50,676 Speaker 1: other poor people can follow. I get to ask that question. 100 00:05:50,876 --> 00:05:53,916 Speaker 1: I don't think I'm special, but I think that the 101 00:05:53,996 --> 00:05:57,316 Speaker 1: trauma I've lived as a child you know, we'll never 102 00:05:57,356 --> 00:06:00,596 Speaker 1: go away, still is still on me. And I see 103 00:06:00,596 --> 00:06:03,356 Speaker 1: that with young girls growing up in refugee comes. For example, 104 00:06:03,956 --> 00:06:07,036 Speaker 1: when you've been through difficulty in life, and you've been 105 00:06:07,076 --> 00:06:10,796 Speaker 1: through trauma. You try to find a way to get by. 106 00:06:10,956 --> 00:06:13,836 Speaker 1: And this is the mentality I have now where I 107 00:06:13,996 --> 00:06:16,596 Speaker 1: leave day by day. Every days it is another day, 108 00:06:16,756 --> 00:06:19,316 Speaker 1: and I just think that, you know, I become very 109 00:06:19,316 --> 00:06:23,876 Speaker 1: tenacious in getting things done. Why the focus on coding 110 00:06:24,076 --> 00:06:29,996 Speaker 1: as the skill that can provide this vehicle, particularly for girls, 111 00:06:30,156 --> 00:06:33,316 Speaker 1: to get out of their terrible circumstances. I mean, presumably 112 00:06:33,356 --> 00:06:36,116 Speaker 1: there are lots of skills you could learn as a 113 00:06:36,356 --> 00:06:39,636 Speaker 1: young person that would help you out of poverty, help 114 00:06:39,756 --> 00:06:43,956 Speaker 1: give you access to power to the wider world. It 115 00:06:44,076 --> 00:06:47,636 Speaker 1: started when I started to learn match at the library 116 00:06:47,716 --> 00:06:52,316 Speaker 1: and then starting reading dictionaries and understanding words, because bear 117 00:06:52,396 --> 00:06:54,236 Speaker 1: in mind, when I came to the UK, I couldn't 118 00:06:54,276 --> 00:06:57,436 Speaker 1: understand English. I couldn't decode the information, and so you 119 00:06:57,436 --> 00:06:59,236 Speaker 1: could put words in front of me, I wouldn't really 120 00:06:59,316 --> 00:07:02,956 Speaker 1: understand them. I used to pick up books with numbers 121 00:07:03,076 --> 00:07:07,156 Speaker 1: and I start coding. Really using XHML was from the beginning, 122 00:07:07,156 --> 00:07:09,916 Speaker 1: because I could put some numbers, then it will translate 123 00:07:09,996 --> 00:07:12,516 Speaker 1: on a page. And then I think that what I'm 124 00:07:12,516 --> 00:07:14,396 Speaker 1: trying to do now is trying to talk to girls 125 00:07:14,436 --> 00:07:18,356 Speaker 1: about digital skills and many many of the application we 126 00:07:18,516 --> 00:07:20,596 Speaker 1: use around the world, for example, people don't know how 127 00:07:20,596 --> 00:07:23,796 Speaker 1: it was made. And I've been always fascinated in how 128 00:07:23,836 --> 00:07:26,716 Speaker 1: things are made and designed and you know who is 129 00:07:26,796 --> 00:07:30,396 Speaker 1: behind the things doing things. And I like to see 130 00:07:30,436 --> 00:07:33,796 Speaker 1: things being translated in numbers, but also being translated in words, 131 00:07:33,876 --> 00:07:37,716 Speaker 1: and I see this with refugees now and seeing refugees 132 00:07:37,756 --> 00:07:41,276 Speaker 1: and people in Lebanon, for example, when you are poor 133 00:07:41,476 --> 00:07:44,876 Speaker 1: or you've been traumatized you are, you consume information very, 134 00:07:44,956 --> 00:07:47,436 Speaker 1: very quickly. So I have a photographic memory where I 135 00:07:47,436 --> 00:07:51,316 Speaker 1: don't forget things. Although that combination have helped me to 136 00:07:51,676 --> 00:07:54,356 Speaker 1: learn how to code seven coding languages in two years. 137 00:07:54,916 --> 00:07:56,636 Speaker 1: And then I had to go back to the agency 138 00:07:56,676 --> 00:07:58,516 Speaker 1: to tell them, actually, now I'm a coder, and that 139 00:07:58,876 --> 00:08:03,156 Speaker 1: he didn't understand what I was saying. So so now 140 00:08:03,196 --> 00:08:05,236 Speaker 1: I'm a coder and I build the websites and I'm 141 00:08:05,236 --> 00:08:08,716 Speaker 1: a full stack developer. I really like numbers and words. 142 00:08:09,756 --> 00:08:13,196 Speaker 1: Your organization has the very suggestive and interesting name I 143 00:08:13,236 --> 00:08:16,596 Speaker 1: Am the Code, which I guess speaks to that pride 144 00:08:16,956 --> 00:08:19,276 Speaker 1: in learning it. But also you know, we use the 145 00:08:19,316 --> 00:08:22,356 Speaker 1: expression cracking the code when you figure something out and 146 00:08:22,396 --> 00:08:26,556 Speaker 1: it's not just learning to program and write software, but 147 00:08:26,716 --> 00:08:29,276 Speaker 1: figuring out this larger code of how the world works. 148 00:08:29,316 --> 00:08:30,996 Speaker 1: Am I reading too much into your in the name 149 00:08:31,036 --> 00:08:33,396 Speaker 1: of your organization? No, No, you're absolutely right. But I 150 00:08:33,476 --> 00:08:35,436 Speaker 1: think there was something else about it, because I think 151 00:08:35,476 --> 00:08:38,356 Speaker 1: what happened is during the years, I was called to 152 00:08:39,276 --> 00:08:42,716 Speaker 1: give a you know, a major speech at Devils and 153 00:08:42,756 --> 00:08:44,636 Speaker 1: I was very very nervous, and I didn't know what 154 00:08:44,676 --> 00:08:47,836 Speaker 1: to do and what to say. I've never met those influential, 155 00:08:47,836 --> 00:08:50,596 Speaker 1: powerful people before. And then I said to my son, 156 00:08:50,636 --> 00:08:52,596 Speaker 1: you know, what do you think I should say? My 157 00:08:52,636 --> 00:08:55,996 Speaker 1: son said, well, mommy, you are the code. And what 158 00:08:56,036 --> 00:09:00,116 Speaker 1: I translated from that conversation was, you know, I'm tenacious. 159 00:09:00,116 --> 00:09:03,916 Speaker 1: I don't give up. You know, despite the childhood I had, 160 00:09:04,036 --> 00:09:06,636 Speaker 1: I don't give up. And then despite that, I'm helping 161 00:09:06,636 --> 00:09:10,396 Speaker 1: all the young women to get confidence. And that then 162 00:09:10,436 --> 00:09:14,316 Speaker 1: created a massive conversation at Davos because I was the 163 00:09:14,316 --> 00:09:17,156 Speaker 1: first senegalist who want to teach white middle class women 164 00:09:17,196 --> 00:09:19,276 Speaker 1: in Guildford where I leave how to code, and now 165 00:09:19,316 --> 00:09:22,276 Speaker 1: we have many many women coding there. But what I'm 166 00:09:22,316 --> 00:09:24,396 Speaker 1: saying is that yes, you are the code. You can 167 00:09:24,476 --> 00:09:26,676 Speaker 1: learn how to code but at the same time, you 168 00:09:26,796 --> 00:09:29,476 Speaker 1: have the key to unlucky your life. You have the 169 00:09:29,556 --> 00:09:33,796 Speaker 1: key to build your life. Despite all the challenges and 170 00:09:33,836 --> 00:09:37,436 Speaker 1: all the difficulty, you can get this key and go 171 00:09:37,636 --> 00:09:40,396 Speaker 1: in and open the doors for yourself and for other people. 172 00:09:40,916 --> 00:09:42,756 Speaker 1: So I am the code is about coding at the 173 00:09:42,796 --> 00:09:46,356 Speaker 1: same time, it's about giving women and girls power to 174 00:09:46,396 --> 00:09:51,476 Speaker 1: go and change their lives. Software has traditionally been dominated 175 00:09:51,476 --> 00:09:54,876 Speaker 1: by men, and so many of the issues we're seeing 176 00:09:54,916 --> 00:10:02,836 Speaker 1: now around harassment and abuse online around software encoding discrimination 177 00:10:03,396 --> 00:10:07,596 Speaker 1: seems to reflect to some extent that it's men who've 178 00:10:07,596 --> 00:10:10,396 Speaker 1: written most of it. Do you see that as part 179 00:10:10,436 --> 00:10:14,996 Speaker 1: of the problem you're addressing by bringing women into coding 180 00:10:14,996 --> 00:10:18,156 Speaker 1: and software design. That's true, men men have done that. 181 00:10:18,476 --> 00:10:21,076 Speaker 1: But I think also, you know, women used to crack 182 00:10:21,156 --> 00:10:23,796 Speaker 1: the code, and they used to decode information, but they 183 00:10:23,876 --> 00:10:27,356 Speaker 1: never had any visibility or any credit given to them. 184 00:10:27,436 --> 00:10:30,516 Speaker 1: For many, many years, we had many women inventors who 185 00:10:30,676 --> 00:10:35,316 Speaker 1: understood mathematics, centers and science. They understood so many you know, 186 00:10:35,356 --> 00:10:38,036 Speaker 1: how the world was functioning. They actually, you know, if 187 00:10:38,076 --> 00:10:40,916 Speaker 1: you just look at the GPS was invented by by 188 00:10:40,956 --> 00:10:44,076 Speaker 1: a woman. But I think sometimes we just forgot those 189 00:10:44,116 --> 00:10:48,156 Speaker 1: stories and those inventors who have helped us become who 190 00:10:48,156 --> 00:10:50,676 Speaker 1: we are today. You know, we're not giving confidence to 191 00:10:50,756 --> 00:10:54,316 Speaker 1: young women to go for it, not just you know, 192 00:10:54,396 --> 00:10:58,196 Speaker 1: because they can, but also women have more empathy, they 193 00:10:58,196 --> 00:11:01,756 Speaker 1: have more compassion and kindness when they designing solutions because 194 00:11:02,156 --> 00:11:05,396 Speaker 1: they design solutions for their communities and for you know, 195 00:11:05,436 --> 00:11:08,756 Speaker 1: the real problems. Men they design things because they you know, 196 00:11:08,796 --> 00:11:11,236 Speaker 1: it's like cool and they can make money or they 197 00:11:11,236 --> 00:11:15,316 Speaker 1: can just launch an IPO very quickly. But you know, 198 00:11:15,356 --> 00:11:18,316 Speaker 1: women design things to you know, to help their communities 199 00:11:18,356 --> 00:11:21,396 Speaker 1: and help their friends. That's what I saw my young 200 00:11:21,476 --> 00:11:25,596 Speaker 1: women actually doing. And it's one thing to try to 201 00:11:25,636 --> 00:11:28,476 Speaker 1: teach women to code and Guildford, it's another thing to 202 00:11:28,556 --> 00:11:32,916 Speaker 1: try to teach young women to code and Senegal, for example. 203 00:11:33,316 --> 00:11:35,716 Speaker 1: There must be a lot of obstacles to trying to 204 00:11:36,476 --> 00:11:38,796 Speaker 1: set up and communicate what we're trying to communicate in 205 00:11:38,796 --> 00:11:40,796 Speaker 1: some of the places you're trying to do it. Can 206 00:11:40,836 --> 00:11:43,836 Speaker 1: you talk about some of those challenges. That's very true. 207 00:11:43,836 --> 00:11:46,436 Speaker 1: We have a lot of challenges where the women we 208 00:11:46,476 --> 00:11:48,636 Speaker 1: have in Guildford are totally different through women we have 209 00:11:48,756 --> 00:11:51,876 Speaker 1: in the Refugi camp in Kenya in Senegal, but I 210 00:11:51,876 --> 00:11:54,356 Speaker 1: would have learned during the last three years is that 211 00:11:54,436 --> 00:11:57,956 Speaker 1: it's not a location problem. Is actually they all smart 212 00:11:57,996 --> 00:12:00,756 Speaker 1: young women who wants to learn, you know, a different skill. 213 00:12:01,196 --> 00:12:04,076 Speaker 1: So we have changed the world coding to digital skills. 214 00:12:04,196 --> 00:12:07,276 Speaker 1: For example, we are helping young women to become digitally intelligent. 215 00:12:07,716 --> 00:12:10,196 Speaker 1: They know how Instagram will it's crazy to how Facebook 216 00:12:10,316 --> 00:12:13,316 Speaker 1: was created, and we help them get into the information 217 00:12:13,396 --> 00:12:16,556 Speaker 1: where they know how actually the solution were created. And 218 00:12:16,596 --> 00:12:19,156 Speaker 1: I think that if we start giving young women and 219 00:12:19,276 --> 00:12:23,036 Speaker 1: girls the power to understand, you know, how wire frames 220 00:12:23,036 --> 00:12:26,196 Speaker 1: are made and how things are written the code behind 221 00:12:26,236 --> 00:12:27,956 Speaker 1: is how to edit it and how to review the 222 00:12:28,036 --> 00:12:30,516 Speaker 1: code and how to make it more empetic for example, 223 00:12:31,116 --> 00:12:33,876 Speaker 1: or how the AI, how the data was collected and 224 00:12:33,996 --> 00:12:38,396 Speaker 1: who is involved. We're now in sixty four countries. I've 225 00:12:38,436 --> 00:12:41,956 Speaker 1: seen so many young women and girls and it's really 226 00:12:41,996 --> 00:12:45,476 Speaker 1: not a location problem, but it's a systematic problem. And 227 00:12:45,516 --> 00:12:48,916 Speaker 1: that's why going and teaching young women and girls mathematics 228 00:12:48,916 --> 00:12:52,916 Speaker 1: and basic science and helping them understand the global issues 229 00:12:52,956 --> 00:12:56,236 Speaker 1: like climate change, gender equality, you know, how do you 230 00:12:56,236 --> 00:12:58,756 Speaker 1: read this inequality and how do you get a bank account? 231 00:12:59,356 --> 00:13:02,156 Speaker 1: Things like that have a young woman to become very 232 00:13:02,196 --> 00:13:06,796 Speaker 1: powerful because she knows she's participating. That's how she changed 233 00:13:06,796 --> 00:13:10,956 Speaker 1: her community, changed her lives, and then there's less abuse, 234 00:13:11,036 --> 00:13:14,996 Speaker 1: for example, and she's very very confident afterward. I think 235 00:13:15,076 --> 00:13:18,596 Speaker 1: the training sessions you run are open to boys as well, 236 00:13:18,636 --> 00:13:21,916 Speaker 1: although maybe they're more girls than boys. Is there a 237 00:13:21,956 --> 00:13:27,636 Speaker 1: difference in trying to teach girls or teach boys to code? No, no, 238 00:13:27,676 --> 00:13:30,036 Speaker 1: there's not a big difference. The reason why we want 239 00:13:30,076 --> 00:13:32,556 Speaker 1: you to include some of the boys because we when 240 00:13:32,556 --> 00:13:34,116 Speaker 1: we set up I AM the Code and the mission 241 00:13:34,236 --> 00:13:37,276 Speaker 1: was to actually get one million women and girls coders. 242 00:13:37,316 --> 00:13:39,676 Speaker 1: And we find out that when we're doing the clubs, 243 00:13:39,796 --> 00:13:41,676 Speaker 1: boys want to be part of it. And if you 244 00:13:41,676 --> 00:13:45,796 Speaker 1: look into some Muslim countries like in Afghanistan, in Senegal, 245 00:13:45,956 --> 00:13:49,676 Speaker 1: in Sudan, for example, we need to get the boys involved. 246 00:13:49,836 --> 00:13:53,756 Speaker 1: And in Mali in ny Air because despite us going 247 00:13:53,796 --> 00:13:56,476 Speaker 1: and teaching girls how to code, there are some social 248 00:13:56,556 --> 00:13:59,796 Speaker 1: issues where the young woman is still you know, looked 249 00:13:59,836 --> 00:14:03,436 Speaker 1: down to, you know, the parents are not very confident 250 00:14:03,436 --> 00:14:06,076 Speaker 1: in letting them go. So we get the young boys, 251 00:14:06,516 --> 00:14:08,596 Speaker 1: you know, who are almost like the brothers and their 252 00:14:08,596 --> 00:14:11,316 Speaker 1: cousins to be part of the clubs and then support 253 00:14:11,316 --> 00:14:13,636 Speaker 1: the young women to be part of it. In Senegal, 254 00:14:13,916 --> 00:14:15,676 Speaker 1: we had to get some of the boys to come 255 00:14:15,676 --> 00:14:18,996 Speaker 1: and support the young women. And we respect the culture 256 00:14:19,076 --> 00:14:21,796 Speaker 1: of the countries, but it's very important which young boys 257 00:14:22,276 --> 00:14:24,876 Speaker 1: gender equality and how to be kind to young women 258 00:14:24,916 --> 00:14:27,796 Speaker 1: and girls, and then they usually work together. We just 259 00:14:27,836 --> 00:14:29,796 Speaker 1: want to make sure that we create exhibit of balance 260 00:14:29,836 --> 00:14:32,396 Speaker 1: but also help young boys to be part of the 261 00:14:32,596 --> 00:14:35,076 Speaker 1: I Am the Good movement because I believe that the 262 00:14:35,116 --> 00:14:38,396 Speaker 1: only way we can achieve gender equality is by educating 263 00:14:39,196 --> 00:14:43,596 Speaker 1: boys and men to understand women issues. Some of the 264 00:14:43,636 --> 00:14:47,716 Speaker 1: people you've taught have already started to have meatingful success 265 00:14:47,716 --> 00:14:51,316 Speaker 1: in their careers and some of them are becoming entrepreneurs. 266 00:14:51,876 --> 00:14:54,636 Speaker 1: Is that part of your mission? Are you helping to 267 00:14:54,916 --> 00:14:57,836 Speaker 1: coach people to start their own businesses, to start their 268 00:14:57,836 --> 00:15:01,716 Speaker 1: own organizations. Yeah. We we have women millionaires in Senegal, 269 00:15:03,716 --> 00:15:07,716 Speaker 1: so we have amazing young women who are now entrepreneurs. 270 00:15:07,756 --> 00:15:10,836 Speaker 1: They do amazing well in their countries. They're building solutions, 271 00:15:10,876 --> 00:15:14,676 Speaker 1: they're sitting government for example, they sit in telecom companies. 272 00:15:15,116 --> 00:15:17,196 Speaker 1: You know, some of our young girls and our mothers, 273 00:15:17,276 --> 00:15:19,236 Speaker 1: their children are now coming back to the I AM 274 00:15:19,276 --> 00:15:21,956 Speaker 1: the Code program that I Am the Code idea has 275 00:15:21,996 --> 00:15:24,716 Speaker 1: been cooking for the last five years and beyond that. 276 00:15:24,836 --> 00:15:27,316 Speaker 1: So all the young women have been mentoring for the 277 00:15:27,356 --> 00:15:29,956 Speaker 1: last ten years have now become you know that I 278 00:15:29,956 --> 00:15:32,236 Speaker 1: am the Code ambassadors. They're taking I Am the Code 279 00:15:32,236 --> 00:15:35,956 Speaker 1: in their communities. He has almost become this family. Now 280 00:15:35,996 --> 00:15:38,996 Speaker 1: people are paying back and giving back to the community 281 00:15:39,516 --> 00:15:42,356 Speaker 1: and they're now building their businesses. Who are really really 282 00:15:42,396 --> 00:15:45,636 Speaker 1: important for the Africa tech ecosystem because in the past, 283 00:15:45,676 --> 00:15:49,116 Speaker 1: we didn't think about women as agent of change or 284 00:15:49,356 --> 00:15:54,156 Speaker 1: agent of economic development, but we fought many African women 285 00:15:54,316 --> 00:15:57,996 Speaker 1: and young women were seen as object of development, you know, 286 00:15:57,996 --> 00:16:01,716 Speaker 1: the NGOs just you know, giving handout and helping them 287 00:16:01,716 --> 00:16:04,836 Speaker 1: with agriculture programs things like that. But now the women 288 00:16:04,876 --> 00:16:08,156 Speaker 1: actually designing their own e commerce sites, they're designing their 289 00:16:08,156 --> 00:16:11,996 Speaker 1: own souls in Senegal. In Kenya, for example, they are 290 00:16:12,036 --> 00:16:16,716 Speaker 1: climate change activists. They're using technology to create campaigns. For example, 291 00:16:16,756 --> 00:16:19,276 Speaker 1: one of our young women in Kenya has done a 292 00:16:19,276 --> 00:16:22,196 Speaker 1: lot of work on deforestation. So the idea really is 293 00:16:22,196 --> 00:16:24,916 Speaker 1: to use technology as a way of empowering this young 294 00:16:24,916 --> 00:16:28,236 Speaker 1: women and girls, but at the same time teaching them 295 00:16:28,316 --> 00:16:32,276 Speaker 1: skills that will give them job, give them money and ultimately, 296 00:16:32,316 --> 00:16:34,996 Speaker 1: you know, they become very proud of themselves. That's that's 297 00:16:35,036 --> 00:16:38,316 Speaker 1: the goal of im record. You talk about teaching a 298 00:16:38,396 --> 00:16:42,036 Speaker 1: million girls to code by twenty thirty in just a decade. 299 00:16:42,076 --> 00:16:44,356 Speaker 1: How are you doing on that goal? And how realistic 300 00:16:44,476 --> 00:16:48,036 Speaker 1: is that? Oh, it's very realistic. We've done so far 301 00:16:48,196 --> 00:16:50,436 Speaker 1: fourteen thousand young women and girls are part of the 302 00:16:50,476 --> 00:16:53,036 Speaker 1: I Am the Core program and we didn't have any 303 00:16:53,076 --> 00:16:56,876 Speaker 1: peer in any marketing in sixty four countries. It's really 304 00:16:56,876 --> 00:17:00,276 Speaker 1: overwhelming to see how the program has reached so many 305 00:17:00,276 --> 00:17:03,756 Speaker 1: many women, not just in Africa, but across the world 306 00:17:03,956 --> 00:17:07,676 Speaker 1: in China and Japan is very large now and it's 307 00:17:07,716 --> 00:17:11,076 Speaker 1: quite a humbling to see young women having their lives 308 00:17:11,516 --> 00:17:13,676 Speaker 1: changed through I Am the Code. I didn't expect that. 309 00:17:14,516 --> 00:17:17,956 Speaker 1: So fourteen thousand to a million, you have, by my calculation, 310 00:17:18,036 --> 00:17:21,956 Speaker 1: nine hundred and eighty six thousand together, How will you 311 00:17:22,036 --> 00:17:24,676 Speaker 1: finance that? Who will help to support you in that 312 00:17:24,996 --> 00:17:28,396 Speaker 1: incredibly ambitious goal. We will reash the goal because we 313 00:17:28,476 --> 00:17:31,756 Speaker 1: have over twenty seven companies worldwide who have committed to 314 00:17:31,796 --> 00:17:34,996 Speaker 1: the number already, and so we are working with corporates 315 00:17:35,036 --> 00:17:37,636 Speaker 1: to get their staff members to become volunteers. We have 316 00:17:37,716 --> 00:17:40,876 Speaker 1: women calling us they want to become champions, so they 317 00:17:40,876 --> 00:17:44,356 Speaker 1: want to use their network to help spread the world. 318 00:17:44,396 --> 00:17:46,436 Speaker 1: Like you know, your program is definitely going to help 319 00:17:46,516 --> 00:17:49,756 Speaker 1: us get more visibility out there. And we also have 320 00:17:49,796 --> 00:17:52,556 Speaker 1: digital clubs, we have hackatons, we have you know, so 321 00:17:52,636 --> 00:17:55,236 Speaker 1: many boot camps. People are just joining because they can 322 00:17:55,236 --> 00:17:58,156 Speaker 1: see that it makes sense. Now we have young girls 323 00:17:58,196 --> 00:18:00,436 Speaker 1: actually coming to work for I Am the Code. Where 324 00:18:00,476 --> 00:18:03,676 Speaker 1: am I No Listeners are hearing you talk and asking 325 00:18:03,876 --> 00:18:08,076 Speaker 1: what they can do to help support your efforts and 326 00:18:08,196 --> 00:18:11,116 Speaker 1: the goal general. What are some of the things that 327 00:18:11,756 --> 00:18:14,356 Speaker 1: people listening might be able to do to advance the goal. 328 00:18:15,236 --> 00:18:18,436 Speaker 1: They can definitely become mentors to the girls. They can 329 00:18:18,476 --> 00:18:20,756 Speaker 1: become ambassadors of I Am the Code. They can run 330 00:18:20,796 --> 00:18:24,196 Speaker 1: their own hecatons, they can provide space for us, they 331 00:18:24,236 --> 00:18:27,276 Speaker 1: can be part of the you know, the movement to 332 00:18:27,316 --> 00:18:29,356 Speaker 1: get young some of the young girls coding. We have 333 00:18:29,436 --> 00:18:32,836 Speaker 1: many corporate organizations, for example, who are giving us space. 334 00:18:33,596 --> 00:18:36,356 Speaker 1: They're giving us some hours to volunteer for I Am 335 00:18:36,356 --> 00:18:39,596 Speaker 1: the Code, and they're opening their offices to have digital 336 00:18:39,636 --> 00:18:41,676 Speaker 1: club and they're also traveling with us to meet the 337 00:18:41,716 --> 00:18:44,676 Speaker 1: girls in a most difficult places around the world. We 338 00:18:44,756 --> 00:18:47,436 Speaker 1: are the first organization to go into refugee camp in 339 00:18:47,916 --> 00:18:50,796 Speaker 1: Kenya where the two hundred thousand people live in the 340 00:18:50,796 --> 00:18:53,276 Speaker 1: refugee camp, eighteen thousands of them are women and girls. 341 00:18:53,316 --> 00:18:55,916 Speaker 1: And they're the first young women and girls in a 342 00:18:55,956 --> 00:18:58,596 Speaker 1: refugee camp to learn how to code. And we in 343 00:18:58,676 --> 00:19:02,676 Speaker 1: slams within five US in Brazil. We are in places 344 00:19:02,676 --> 00:19:05,516 Speaker 1: where I grow up as a young girl. And the 345 00:19:05,556 --> 00:19:08,876 Speaker 1: reason why I'm going back there is to tell the 346 00:19:08,876 --> 00:19:12,476 Speaker 1: world that those people they matter. By going back and 347 00:19:13,116 --> 00:19:16,316 Speaker 1: holding those young girls and and helping them to be 348 00:19:16,436 --> 00:19:19,556 Speaker 1: confident and to also gain a skill, I believe that 349 00:19:19,716 --> 00:19:22,956 Speaker 1: coding is the future. If they can decode information and 350 00:19:23,076 --> 00:19:26,476 Speaker 1: build the website or build an app, and get some 351 00:19:26,716 --> 00:19:29,876 Speaker 1: skills to help them get money, they wouldn't be trafficked, 352 00:19:30,516 --> 00:19:33,836 Speaker 1: they wouldn't be young prostitutes, they wouldn't be abused because 353 00:19:33,836 --> 00:19:35,716 Speaker 1: they have to depend on someone else. So I'm trying 354 00:19:35,716 --> 00:19:39,276 Speaker 1: to change society problems at the same time giving young 355 00:19:39,276 --> 00:19:42,796 Speaker 1: women skills so they don't end up like myself. And 356 00:19:43,036 --> 00:19:45,316 Speaker 1: how about here in the United States, Mariam, is there 357 00:19:45,356 --> 00:19:47,676 Speaker 1: a role for your organization to play here? Are you 358 00:19:47,676 --> 00:19:50,836 Speaker 1: active here? We have some major banks who won't support 359 00:19:50,836 --> 00:19:52,516 Speaker 1: I am the code and hopefully we're going to go 360 00:19:52,556 --> 00:19:55,756 Speaker 1: to deprived communities. Because our content is free. People can 361 00:19:55,836 --> 00:19:58,036 Speaker 1: use them in prisons, they can use them in places. 362 00:19:58,036 --> 00:20:00,596 Speaker 1: In the UK we go to prisons and places where 363 00:20:00,596 --> 00:20:03,956 Speaker 1: we can rehabilitate people. So we're hoping that by the 364 00:20:04,196 --> 00:20:08,516 Speaker 1: beginning of twenty twenty. I'm in the United States. It's 365 00:20:08,516 --> 00:20:12,316 Speaker 1: such an odd, dacious idea to say someone who's been 366 00:20:12,316 --> 00:20:16,716 Speaker 1: a victim of trafficking should be writing software. Have you 367 00:20:16,796 --> 00:20:19,796 Speaker 1: seen other women who followed the kind of path that 368 00:20:19,876 --> 00:20:24,076 Speaker 1: you did and had that extraordinary transformation? Yeah, I haven't 369 00:20:24,116 --> 00:20:26,556 Speaker 1: seen it yet. I've seen many women who so many 370 00:20:26,636 --> 00:20:28,956 Speaker 1: women who've been trafficked and had difficulty in their life, 371 00:20:28,956 --> 00:20:31,476 Speaker 1: but mainly they go into the activism world and share 372 00:20:31,476 --> 00:20:33,596 Speaker 1: their stories with other people around the world. But for me, 373 00:20:33,636 --> 00:20:36,036 Speaker 1: that's not enough, and my pioneering system change. That's what 374 00:20:36,156 --> 00:20:38,996 Speaker 1: I do. I change systems in countries and in government. 375 00:20:39,596 --> 00:20:41,556 Speaker 1: And I believe that the reason why I was trafficked 376 00:20:41,556 --> 00:20:44,596 Speaker 1: from Senegal and the reason why my mother actually abandoned 377 00:20:44,676 --> 00:20:47,756 Speaker 1: us as children, and you know, I was abused and 378 00:20:47,836 --> 00:20:50,316 Speaker 1: rapped by my chronic teacher in my country in Senegal, 379 00:20:50,356 --> 00:20:53,796 Speaker 1: and ultimately traffic from Senegal is because the system of 380 00:20:53,796 --> 00:20:55,676 Speaker 1: the country was broken. And so what I tried to 381 00:20:55,716 --> 00:20:57,076 Speaker 1: do if I am the Code at the same time 382 00:20:57,196 --> 00:21:00,116 Speaker 1: is how do you fix systems in countries? How do 383 00:21:00,156 --> 00:21:03,396 Speaker 1: you educate government and the private sector to understand that actually, 384 00:21:03,716 --> 00:21:06,756 Speaker 1: you know, if you mess up one child's life, you know, 385 00:21:07,156 --> 00:21:09,156 Speaker 1: just messing up her life, but you're messing up the 386 00:21:09,316 --> 00:21:12,036 Speaker 1: entire community's life. For example, we don't have birth certificate. 387 00:21:12,116 --> 00:21:15,636 Speaker 1: We totally are incunito in Senegal. And I see this 388 00:21:15,756 --> 00:21:18,396 Speaker 1: today in the refugi camp where you know, the worst 389 00:21:18,516 --> 00:21:22,036 Speaker 1: is just watching things happening to two million, millions of 390 00:21:22,076 --> 00:21:25,676 Speaker 1: women and girls from Senegal to Nepal. So unless someone 391 00:21:25,956 --> 00:21:29,556 Speaker 1: come up with something very ambitious and very ruthless like 392 00:21:29,596 --> 00:21:31,716 Speaker 1: I am the Code, nothing will happen. And I've seen 393 00:21:31,876 --> 00:21:36,596 Speaker 1: change happening from Buenden areas to Senegal, just because I 394 00:21:36,836 --> 00:21:40,036 Speaker 1: dare to be visible and I dare to tell the world. 395 00:21:40,356 --> 00:21:42,276 Speaker 1: If you don't want to find out any more women 396 00:21:42,516 --> 00:21:45,036 Speaker 1: being traffic and taken away, you have to change the 397 00:21:45,076 --> 00:21:46,556 Speaker 1: system in the country. You don't want to have any 398 00:21:46,556 --> 00:21:49,116 Speaker 1: more immigrants in Europe or in the United States, change 399 00:21:49,156 --> 00:21:51,236 Speaker 1: the system in their countries, give them the skills, and 400 00:21:51,436 --> 00:21:53,356 Speaker 1: as soon as you do that, they wouldn't need to 401 00:21:53,436 --> 00:21:55,356 Speaker 1: come here. That's why I want young girls who have 402 00:21:55,756 --> 00:21:58,636 Speaker 1: the skills in their countries and build their businesses in 403 00:21:58,676 --> 00:22:00,436 Speaker 1: their countries, and if they want to travel they can 404 00:22:00,516 --> 00:22:03,236 Speaker 1: have they can travel in a very legal way without 405 00:22:03,396 --> 00:22:06,276 Speaker 1: being insulted. I'm just trying to fix some of the 406 00:22:06,676 --> 00:22:11,836 Speaker 1: problems the world has failed to fix. Miriam jem is 407 00:22:11,876 --> 00:22:14,316 Speaker 1: the founder of I Am the Code. Be sure to 408 00:22:14,436 --> 00:22:16,596 Speaker 1: check out our show pages for ways that you can 409 00:22:16,676 --> 00:22:19,196 Speaker 1: get involved with I Am the Code and learn more 410 00:22:19,236 --> 00:22:23,596 Speaker 1: about coding and poverty eradication. This interview was edited by 411 00:22:23,676 --> 00:22:28,196 Speaker 1: Chalk and Blade. Solvable is produced by Camille Baptista, Jocelyn Frank, 412 00:22:28,596 --> 00:22:32,396 Speaker 1: Catherine Girardoo and Mia Lobell. I'm Jacob Weisberg.