1 00:00:00,030 --> 00:00:04,050 It's always good to be a writer, humanitarian advocate, a political analyst, 2 00:00:04,050 --> 00:00:10,860 and as you might have known from high profile as you've been in Oxford because you've got two masters at Oxford, as one does. 3 00:00:10,860 --> 00:00:18,960 And they moved out to do a J.D. from the Harvard Law School, and she's been in many awards and many fellowships. 4 00:00:18,960 --> 00:00:27,390 But most importantly, she's very well known for her work. She writes a lot on African politics and society, a lot of international law and feminism, 5 00:00:27,390 --> 00:00:32,220 and she published extensively from Al Jazeera to the Guardian BBC to be adequate. 6 00:00:32,220 --> 00:00:37,800 I mean, maybe she's been banned. We're very, incredibly honoured to have Mandela with us today. 7 00:00:37,800 --> 00:00:41,970 I'm not going to say anything about her role because I would be doing it for the own favourites. 8 00:00:41,970 --> 00:00:49,730 So please give a warm in fact. Welcome to my job. Hi, everyone. 9 00:00:49,730 --> 00:00:59,770 Yes. In Kenya, we we have a lot of these familiar things, so when I say, Mallika, what does that mean? 10 00:00:59,770 --> 00:01:10,270 I mean, have you walking up Malka? Yeah, Mallika, you know, nobody will know. 11 00:01:10,270 --> 00:01:15,310 So I'm just here to give you a couple. I'm really happy to be here. 12 00:01:15,310 --> 00:01:19,630 I should begin by saying because I have been planning to come to the council forever. 13 00:01:19,630 --> 00:01:25,060 But you know, how to visit dance schools and finally, all the planets aligned. 14 00:01:25,060 --> 00:01:32,520 And we were able to put this together at a time when I have a new project power that I'm actually very excited about. 15 00:01:32,520 --> 00:01:38,410 I'm excited about all of them. But you know, a book is my first of the book. 16 00:01:38,410 --> 00:01:43,750 It's a very unusual, exciting, confusing and overwhelming. 17 00:01:43,750 --> 00:01:45,320 You name it experience. 18 00:01:45,320 --> 00:01:53,710 So I'm very, very happy and honoured to be able to do this here in a space that I've been wanting to be a part of for the longest time. 19 00:01:53,710 --> 00:01:56,800 I think what Fox is doing is really incredible. 20 00:01:56,800 --> 00:02:03,930 I wish there had been something similar when I was at Oxford, whereby our version of Fox was going to St. Anthony for the Afro-Pop. 21 00:02:03,930 --> 00:02:07,480 But what we still do now. 22 00:02:07,480 --> 00:02:11,650 You know, I want a lot of national revolutions were planted at the mall. 23 00:02:11,650 --> 00:02:22,400 So, you know, there's a lot of things, a lot of really cool people find a lot of really interesting things that they're pursuing today. 24 00:02:22,400 --> 00:02:27,520 I so don't believe them. That's the question environment. 25 00:02:27,520 --> 00:02:33,280 What I'm going to do today is I'm going to very briefly so that we can just jump in into dialogue. 26 00:02:33,280 --> 00:02:41,890 I'd like to read a section from the book because this book actually has very strong connexions to Oxford, but maybe not in the way that you think. 27 00:02:41,890 --> 00:02:50,230 I, as as McKenna said, I was a student here in my embassy, African studies and messy forced migration, 28 00:02:50,230 --> 00:02:53,590 and I had a very interesting experience that I capture in some of the pages here. 29 00:02:53,590 --> 00:03:00,760 And I really want to read those pages because in many ways, I wrote this book for myself as a student, 30 00:03:00,760 --> 00:03:05,200 myself as a Kenyan student in African studies in Europe, 31 00:03:05,200 --> 00:03:13,120 and there was a lot of things that I would have wanted to hear as an undergrad, as my students. 32 00:03:13,120 --> 00:03:19,240 My undergrad is also an African studies that I hope will provoke some thought and some conversation as we move forward. 33 00:03:19,240 --> 00:03:25,480 So I'm going to read a little bit and then I'm going to speak very briefly from some of that I prepared. 34 00:03:25,480 --> 00:03:29,450 And then we'll dive right in. Does that sound good? Yeah. 35 00:03:29,450 --> 00:03:37,060 Minkoff, you know, I'm going to keep saying that because you have to check. 36 00:03:37,060 --> 00:03:48,490 This is from page one. So no spoilers. By the end of my graduate degree in African studies in 2011, I had a gnawing frustration. 37 00:03:48,490 --> 00:03:54,760 Despite the large volume of books and articles, I devoured about 10 specifically and Africa in general. 38 00:03:54,760 --> 00:04:02,950 No matter how hard I looked, I couldn't see myself in any of the projects I was reading about the continent and communities I call home. 39 00:04:02,950 --> 00:04:09,950 It sometimes felt as if Africans stopped moving after the end of the Cold War, and the only Virgin worth reading about was poor violence, 40 00:04:09,950 --> 00:04:17,410 sickly, hungry and ultimately only exists within benevolence of international organisations and governments. 41 00:04:17,410 --> 00:04:23,710 This is the think that's going to invite people that may very well have been a product of where I was studying, 42 00:04:23,710 --> 00:04:27,370 yes, in my life and in my extensive travels on the continent. 43 00:04:27,370 --> 00:04:36,550 I knew that this was a complete story in Ghana at the University of Kumasi or Kwame Nkrumah National University of Science and Technology. 44 00:04:36,550 --> 00:04:45,670 I worked with a team setting up a project to allow more engineering students to travel to other African countries and exchange ideas in Sudan and walk 45 00:04:45,670 --> 00:04:49,570 the streets with a really feminist activist who deliberately and the right 46 00:04:49,570 --> 00:04:54,040 invited the eye of the morality police by occupying the city in bright light, 47 00:04:54,040 --> 00:04:58,240 bright red lipstick, skinny jeans and a perfect high. 48 00:04:58,240 --> 00:05:06,670 And in Kenya, I witness an idea born from a blog post quickly evolved into a pioneer into the pioneering crisis mapping out mission. 49 00:05:06,670 --> 00:05:14,320 It's not that Africa has no problems, but I knew the different sides of our faces, even if none of the books on the reading list saw it. 50 00:05:14,320 --> 00:05:22,720 People are doing more than just surviving. I left university to says that I needed to put some of my energy into helping Africa get hurt. 51 00:05:22,720 --> 00:05:28,990 This book is borne out of my desire to bring something specific about contemporary Africa into the conversation. 52 00:05:28,990 --> 00:05:34,420 Much of the work that has already been done a bit about the intersection between technology and politics in Africa 53 00:05:34,420 --> 00:05:42,640 has been in a composite edited collections about Africa that don't permit the depth of the subject increasingly. 54 00:05:42,640 --> 00:05:47,670 Moreover, existing studies that dominate the discourse and are grounded in technology. 55 00:05:47,670 --> 00:05:57,810 For developmental was tend to be overly optimistic about the terrain simply because they ignore politics or the political agency of the seats. 56 00:05:57,810 --> 00:06:01,650 Yet beyond the reductive conversation and mobile money in Kenya, 57 00:06:01,650 --> 00:06:08,640 young Africans are embracing technology and digital platforms as places to have their opinions articulated and amplified, 58 00:06:08,640 --> 00:06:13,080 as well as to speak directly to power in their respective societies. 59 00:06:13,080 --> 00:06:17,520 Technology is impacting normative ideas about the relationship between generations. 60 00:06:17,520 --> 00:06:25,680 A lot of young people, especially to speak out of turn to find and amplify each other and in public spheres, are still routinely silenced. 61 00:06:25,680 --> 00:06:33,420 The voices of women digital spaces that we've made possible for women to scream into the void. 62 00:06:33,420 --> 00:06:37,170 These and other changes sit comfortably in the realm of democracy in quotes. 63 00:06:37,170 --> 00:06:41,970 But that's a big word that needs to be in part to manage the expectation of simply providing 64 00:06:41,970 --> 00:06:47,550 technology will address the structural issues that I can't respond to off the public sphere. 65 00:06:47,550 --> 00:06:54,060 Power is complicated. The more people move into these spaces to raise their voices, the more power pushes back, 66 00:06:54,060 --> 00:07:07,740 and it's necessary to understand the contours of this push back also. So that's kind of a couple of I think I might disagree a mission statements. 67 00:07:07,740 --> 00:07:12,300 But if you know, I wrote it after I wrote the book, so it's fine. 68 00:07:12,300 --> 00:07:24,420 I kind of knew where it was going, but essentially what I was trying to do was to tell my story to myself, as I said as an undergrad, 69 00:07:24,420 --> 00:07:37,530 as a master's student, because we have these very narrow ideas about what is interesting, what is exciting, what is compelling about African society. 70 00:07:37,530 --> 00:07:45,600 And I find it very hard to believe that my existence of existence, of people that I know, 71 00:07:45,600 --> 00:07:49,800 people that I, I hung out with, people that I had watched, you know, 72 00:07:49,800 --> 00:07:55,740 because I was an individual who speaks what I watched it grow was not interesting or compelling, 73 00:07:55,740 --> 00:08:00,210 and you might be sitting there thinking, well, until nobody ever said that that was interesting or compelling. 74 00:08:00,210 --> 00:08:09,390 And you would be wrong because I tried to write this for my master's programme and I was told these are middle class concerns, 75 00:08:09,390 --> 00:08:13,410 which is weird because I am in the past and it is a concern. 76 00:08:13,410 --> 00:08:26,640 But 10 years later, I look at how we have been using in Kenyan Twitter to monitor elections, to do parallel vote counts, to dispute official results. 77 00:08:26,640 --> 00:08:32,010 I see young people in the Democratic Republic of Congo using Twitter and Facebook to document 78 00:08:32,010 --> 00:08:38,070 political violence in the absence of international observation in some parts of the country. 79 00:08:38,070 --> 00:08:47,490 I see people in Burkina Faso organising a revolution to end a 27 year regime, primarily talking to each other. 80 00:08:47,490 --> 00:08:53,550 And then I'm not saying this is one thing that I emphasise in the book. Social media does not cause revolutions. 81 00:08:53,550 --> 00:08:56,940 Digital spaces don't cause revolutions. People do. 82 00:08:56,940 --> 00:09:05,490 People find spaces and use their agencies and use their individual respective agencies to bring these political changes about. 83 00:09:05,490 --> 00:09:17,220 But there's something there about how technology is opening up space in societies that resist these expressions of agency, especially in women, 84 00:09:17,220 --> 00:09:30,300 especially in young people in, you know, very age sort of way in societies where age is a big deal in communities that don't get paid attention to. 85 00:09:30,300 --> 00:09:37,860 Like in Kenya, whereby if you read about Kenya, you would be excused for thinking that there will be two ethnic groups in Kenya. 86 00:09:37,860 --> 00:09:43,110 Whenever I tell people that I can do is go, Oh, are you came along? 87 00:09:43,110 --> 00:09:48,930 Are you Luo? No, they are, in fact, 44 ethnic groups in Kenya. 88 00:09:48,930 --> 00:09:53,970 But because people are fascinated by elite level politics, 89 00:09:53,970 --> 00:10:03,660 by the politics of how then the other 42 ethnic groups become spectators in their own political narratives. 90 00:10:03,660 --> 00:10:12,690 And these are the kinds of stories that interest me as a feminist and feminist political theories. 91 00:10:12,690 --> 00:10:17,500 The thing that the statement that always fascinates me is the personal is political, right? 92 00:10:17,500 --> 00:10:24,720 It sounds like such a cliché. It's a feminist mantra, but I always ask myself, What does this situation? 93 00:10:24,720 --> 00:10:33,660 What does this issue? What does this theory look like when your essential reference object is not a white man? 94 00:10:33,660 --> 00:10:39,660 Is an African woman, is a young African, is a disabled African man, 95 00:10:39,660 --> 00:10:47,630 is a Kenyan who is not Kikuyu or Luo, is a person from the DRC who is in the middle of an Ebola crisis. 96 00:10:47,630 --> 00:10:54,920 He's trying to figure out how to vote is a person in Zimbabwe who doesn't have access to dollars, 97 00:10:54,920 --> 00:11:00,260 is a person in Somalia who doesn't have the capacity to flee. These are the questions that interest me. 98 00:11:00,260 --> 00:11:07,040 These are the things that intrigued me. And this is what some of the philosophy that's been guiding the production of my nine book work. 99 00:11:07,040 --> 00:11:12,530 But also in this book, I basically looked at Kenyan politics and asked myself, 100 00:11:12,530 --> 00:11:17,750 What does contemporary Kenyan politics look like when your central reference object is not 101 00:11:17,750 --> 00:11:24,920 a map and you will see some of the stories that I've collected here kind of touch on that. 102 00:11:24,920 --> 00:11:34,190 Now, I'm the first to admit that technology is a very fast and a very it's not a universal thing, especially in Kenya, right? 103 00:11:34,190 --> 00:11:37,580 And I go into some detail in this book breaking down demographics, 104 00:11:37,580 --> 00:11:44,900 breaking down who is abatement 79 percent of all tweets that are sent in Kenya sent in English, right? 105 00:11:44,900 --> 00:11:50,960 The vast majority of people who are socially behind Nairobi with Mombasa different a distant second. 106 00:11:50,960 --> 00:11:53,010 And there's two ways of interacting with this data, 107 00:11:53,010 --> 00:12:02,000 and one is not the none of which see what you think people what people would want you to see, which is these are middle class concerns. 108 00:12:02,000 --> 00:12:07,280 Rather, it's to look at the connexions between who is on these platforms to understand 109 00:12:07,280 --> 00:12:15,530 who is on these platforms and how they're connected to the rest of the society. That's one way of doing it, and the other is to look for the outliers. 110 00:12:15,530 --> 00:12:25,070 You know, when you talking about Chief Noor Mohammed, who is in Nakuru, who is using WhatsApp to organise public meetings in his location, 111 00:12:25,070 --> 00:12:32,720 we were talking about people in Gaza who are using it to draw attention to political crises that don't make it into the national news. 112 00:12:32,720 --> 00:12:38,780 We're talking about people in Wajir who are using Twitter to get to the National Commission on Human Rights to report, 113 00:12:38,780 --> 00:12:42,830 you know, the possibility of mass graves right outside of the top. 114 00:12:42,830 --> 00:12:49,370 Neither one of these approaches collapsed onto that truck that these are middle-class concerns. 115 00:12:49,370 --> 00:12:55,400 What we're saying is, yes, let's acknowledge the limitations, but within those limitations. 116 00:12:55,400 --> 00:13:01,850 What's interesting that's happening here, and I hope that that's what I've done with this book. 117 00:13:01,850 --> 00:13:06,830 I wanted to. I'm not going to summarise the whole book to you because a spoilers. 118 00:13:06,830 --> 00:13:15,980 And B, I love for you to buy it. What I'm what I am going to do is I'm going to give you the three things the three themes, the three ideas. 119 00:13:15,980 --> 00:13:22,340 The three need philosophical roots, but kind of divided my research and my writing. 120 00:13:22,340 --> 00:13:27,380 And I feel like I should preface this by saying this book has its origins in the 2007 general election in Kenya. 121 00:13:27,380 --> 00:13:36,110 So it has been 10 years coming, but it also has its roots in my experience in Oxford so well for 12 years from 2007, 122 00:13:36,110 --> 00:13:41,640 but I stopped writing in 2017, but this is 10 years since I was in Oxford. 123 00:13:41,640 --> 00:13:50,720 Yes, I don't know every 10 years and also has its roots in my experience with African studies as a discipline. 124 00:13:50,720 --> 00:13:58,970 And it also has three years of actually sitting down at my desk and seeing chapter one in all of those. 125 00:13:58,970 --> 00:14:05,000 So these are multiple things sort of weaving in and out of each other. 126 00:14:05,000 --> 00:14:10,490 And I think the thing that I got most out of the experience is, first of all, 127 00:14:10,490 --> 00:14:17,720 the sheer volume of things that I don't know, which I think is a great thing to acknowledge as a recession. 128 00:14:17,720 --> 00:14:26,060 If the trying to get a grasp, I let's just say this in presentations that this book is not going to teach you how to code. 129 00:14:26,060 --> 00:14:33,290 If you're here to buy a book about coding, you're in the wrong presentation. Try down the hall. 130 00:14:33,290 --> 00:14:39,590 I tried to understand technology. I tried to understand how the technological space works. 131 00:14:39,590 --> 00:14:45,530 I was fascinated by the fact that people who work in tech have no idea what's happening in Africa. 132 00:14:45,530 --> 00:14:54,940 They're just like, Oh, we should be all on the side of the phone. You see, the pictures of our tech in Africa was always on my side. 133 00:14:54,940 --> 00:15:04,520 It's such a coincidence. And I was fascinated by people working in development who had this hyper optimistic perspective about technology, 134 00:15:04,520 --> 00:15:12,380 but forgot that this technology is shaped both by the people who design it and the people who use it. 135 00:15:12,380 --> 00:15:18,440 So in development, you have this thing I speak for you. Have you had those that acronym ICTY, the number four? 136 00:15:18,440 --> 00:15:25,430 And then it's this. It's all the rage now in human rights and humanitarian and development organisations because of the underlying 137 00:15:25,430 --> 00:15:32,060 belief that if you just give poor people more tech or if we introduce more tech into development work, 138 00:15:32,060 --> 00:15:37,520 things will get better. And 90 percent of the time, they don't give you a good example. 139 00:15:37,520 --> 00:15:47,420 Based on my own work, I used to work in Madagascar and we were training development in Madagascar, and we were trying to do what we call. 140 00:15:47,420 --> 00:15:54,840 I was in Kenya round robin savings clubs. You know, those are everybody puts in ten point ten dollars every month and then at the end of month, 141 00:15:54,840 --> 00:15:58,170 one person gets the one hundred and twenty bucks and is supposed to help you see, 142 00:15:58,170 --> 00:16:03,480 these are pretty common, definitely in Africa, but certainly in other parts of the world. 143 00:16:03,480 --> 00:16:10,950 And we were trying to digitise round robin Singh's club in Madagascar, so we got a huge grants and we put to people, 144 00:16:10,950 --> 00:16:20,340 if you put this on your phone and you send it and send the money mobile money to, so try to console the digital fantastic big problem. 145 00:16:20,340 --> 00:16:27,870 Madagascar has one of the lowest literacy rates in the world. Mobile money is text based system. 146 00:16:27,870 --> 00:16:29,700 If you can't read, 147 00:16:29,700 --> 00:16:41,190 how are you going to be able to interact with a text based system and these ideas of leapfrogging these ideas of powering through social, 148 00:16:41,190 --> 00:16:46,860 cultural, political realities, they don't work. They're mixed race reports. 149 00:16:46,860 --> 00:16:52,530 But if we don't stop and think about the societies in which we truly have this idea for interventions, 150 00:16:52,530 --> 00:17:01,640 then we end up in the same problem that we have in Madagascar, which was nobody wanted to use the systems that we had built because it wasn't. 151 00:17:01,640 --> 00:17:09,840 Not only with the delicious, the issue was also literacy in French because we were developing apps in English. 152 00:17:09,840 --> 00:17:15,030 And people wanted to use apps and Malagasy. So we thought, let's translate them into French. 153 00:17:15,030 --> 00:17:22,770 And if you think the literacy rate is, I think it's 35 percent in Malagasy, it was even lower in French. 154 00:17:22,770 --> 00:17:29,600 These are the kind of things that I hope that I'm bringing up through this project is. 155 00:17:29,600 --> 00:17:34,310 Don't be so single minded about either the politics or the tech, 156 00:17:34,310 --> 00:17:43,640 but you don't see how the two things intersect and you don't see the people who make them and decide to go back to my three core ideas. 157 00:17:43,640 --> 00:17:55,220 My first is what I just said agencies. This book is a conversation about tech in Africa that starts with Africans and not the tech. 158 00:17:55,220 --> 00:18:07,040 I wanted to look, and this is also why I wanted to write about Kenya and not Africa, much to the dismay of my publisher. 159 00:18:07,040 --> 00:18:10,550 I wanted to look, as I mentioned to politics outside the elite level. 160 00:18:10,550 --> 00:18:15,350 I wanted to write about Kenyan politics, but I didn't want to write about Raila, 161 00:18:15,350 --> 00:18:19,310 and I didn't want to write about American Netzer, and I didn't want to write about Thomson Silke. 162 00:18:19,310 --> 00:18:25,640 Because seriously, how much more can we read about Raila and where Kenyatta and Kalonzo Musyoka? 163 00:18:25,640 --> 00:18:32,150 And if you don't Kenyan politics, these names are going over your head. But if you do not get your publics, you know what I want about race. 164 00:18:32,150 --> 00:18:42,170 We're so fixated with the elite level politics in Africa. We're so fixated with what power is doing that we forget the vast majority of Africans, 165 00:18:42,170 --> 00:18:48,230 and therefore we don't give the vast majority of Africans the tools that they need to process the political circumstances. 166 00:18:48,230 --> 00:18:50,750 And this is from a theoretical perspective as theorists. 167 00:18:50,750 --> 00:18:56,360 Our job is to think about the world and to give people the tools that they need to process their world. 168 00:18:56,360 --> 00:19:02,300 But how can we do that if we keep making people look at power and not at themselves? 169 00:19:02,300 --> 00:19:10,160 This is also the reason why I have a chapter on feminism, because when you look at elite level politics in a patriarchal society, 170 00:19:10,160 --> 00:19:21,110 you are looking at MIT and I have had firsthand experience with this on multiple levels of Kenya because another 171 00:19:21,110 --> 00:19:29,420 one of the many jobs that I have had many jobs was in a non-profits where we used to produce every election year. 172 00:19:29,420 --> 00:19:33,380 We would produce a book about the previous election, about the. 173 00:19:33,380 --> 00:19:40,970 So you have the Kenyans of the election period, but there's really only one year between the cycle when we're not in election mode. 174 00:19:40,970 --> 00:19:47,720 The previous election or the next election, which is the third year when you're like, Oh, let's do a project. 175 00:19:47,720 --> 00:19:53,690 And one thing I noticed is you have 12 chapters written by men about men, 176 00:19:53,690 --> 00:20:04,710 and then you have the gender chapter written by a woman who would go and look at one one well-known woman, Martha Karua. 177 00:20:04,710 --> 00:20:13,400 And I googled whether I did this exercise for the 2015 election and I saw what was coming down the pipeline for 2017. 178 00:20:13,400 --> 00:20:24,320 And I said to my team, We are women, do women not do politics and power? 179 00:20:24,320 --> 00:20:28,250 This is part of the reason why it was so important for me to have both a feminist 180 00:20:28,250 --> 00:20:32,030 thread that runs throughout the book based on my own political ideology. 181 00:20:32,030 --> 00:20:40,250 But to have a specific chocolate looks at what feminism is outside the elite level politics. 182 00:20:40,250 --> 00:20:50,280 Fundamental question for me what does politics look like when your central reference object is not a man? 183 00:20:50,280 --> 00:20:58,860 The second theme that I wanted to grapple with throughout this project was change one of 184 00:20:58,860 --> 00:21:09,430 the sometimes it died on the cutting room floor is Kenya's first digital decade 2007 2017. 185 00:21:09,430 --> 00:21:18,700 2007, Iran, 2006 2007 is when you really start to see the mass take up of a lot of these digital technologies in Kenya. 186 00:21:18,700 --> 00:21:24,040 Safaricom's 2006 Embassy 2006 story. 187 00:21:24,040 --> 00:21:29,910 Twitter is also, I think, 2006 blogging starts to really take off in the context. 188 00:21:29,910 --> 00:21:34,930 And what I argue in this book is digital technologies are mass communication, 189 00:21:34,930 --> 00:21:40,540 as a mass communication device really starts to take off because of the 2017 selection violence. 190 00:21:40,540 --> 00:21:47,590 Why? Because of the censorship that was happening in mainstream media and the state control of mainstream media. 191 00:21:47,590 --> 00:21:56,470 So I do go into some detail about those media dynamics. 192 00:21:56,470 --> 00:22:08,710 I think when you do analysis of Kenya, it can feel like you're a hamster on a wheel. 193 00:22:08,710 --> 00:22:13,660 Why am I having the same conversations that I was having in 2007 2017? 194 00:22:13,660 --> 00:22:17,560 Why am I still talking about race? Why am I still talking about [INAUDIBLE] answer? 195 00:22:17,560 --> 00:22:22,870 Why am I still talking about people who have been in office since nineteen? 196 00:22:22,870 --> 00:22:33,940 Eighty two eighty three? Right? I really wanted to drill down on a specific area to try and move past those presumptions. 197 00:22:33,940 --> 00:22:38,350 So change is a big part of what I try to talk about here. 198 00:22:38,350 --> 00:22:46,570 Some of the people who have read the book have told me it also changed me in many ways because in the beginning there's a lot of optimism. 199 00:22:46,570 --> 00:22:57,200 And I wrote the last chapter just after the 2017 election, and it's a little bit less optimistic than the stuff at the beginning, it writes. 200 00:22:57,200 --> 00:23:00,130 It brings together what has changed, takes time. 201 00:23:00,130 --> 00:23:07,540 Maybe even if I think that if you don't, and this is again another reason why I didn't want to do an African book. 202 00:23:07,540 --> 00:23:13,600 If you don't get into the readers of each society, if you don't permit yourself and time and space, 203 00:23:13,600 --> 00:23:19,300 I fix the time period I fix the society so that I can really get into the weeds of what 204 00:23:19,300 --> 00:23:25,510 I thought was happening to try and understand what was changing and what happened, 205 00:23:25,510 --> 00:23:35,170 and the nature of the general to push back against the erasure of these key moments. 206 00:23:35,170 --> 00:23:42,190 Because if you slip into Kenya, the January of the election, of the July of the election, as election observers are wont to do, 207 00:23:42,190 --> 00:23:49,090 you miss out on the fact that I'll give you a great example with women in politics, everybody always MDI and all of these. 208 00:23:49,090 --> 00:23:53,740 I should be mentioning your love. 209 00:23:53,740 --> 00:24:01,210 These big grass keeping organisations who have descended on African countries three weeks, three months before the election. 210 00:24:01,210 --> 00:24:06,760 And then they say, we're going to train women in capacity, build women into going to elections. 211 00:24:06,760 --> 00:24:11,050 And I had one woman say to me, I'm just so tired of being capacity. 212 00:24:11,050 --> 00:24:17,620 I can remember, you know, because I've been to every single conceivable world in politics workshop. 213 00:24:17,620 --> 00:24:24,970 I can't be trained anymore. So if all of this is happening, why aren't there more women in politics? 214 00:24:24,970 --> 00:24:32,920 Well, if you get into the weeds of Kenyan politics, you would realise that most women are intimidated, beaten, bribed, 215 00:24:32,920 --> 00:24:42,070 cheated their certificates stolen during the nomination phase, which happens about four months before the election. 216 00:24:42,070 --> 00:24:45,130 So you thinking about the election and thinking about how women, 217 00:24:45,130 --> 00:24:52,180 if they only knew how to make posters for the election campaign, could who even if this the point, right? 218 00:24:52,180 --> 00:24:58,630 And this is one of the reasons why I wanted to really get into the weeds of this thing to stop myself 219 00:24:58,630 --> 00:25:07,720 from giving just a superficial treatment and unpack some of the unseen elements of what was happening. 220 00:25:07,720 --> 00:25:13,300 You might look at Kenyan media, for example, and think they're so bad at their jobs. 221 00:25:13,300 --> 00:25:18,190 What's wrong with these people? Why aren't they more theory? Why being more critical? 222 00:25:18,190 --> 00:25:25,060 Why didn't they report the correct results when they knew they had the correct election results? 223 00:25:25,060 --> 00:25:32,650 And if you swooped in in 2017, even in January 2017, you would miss the fact that in December 2015, 224 00:25:32,650 --> 00:25:40,180 the Jubilee administration passed a Media Law Media Act that said that any media house that shared information that 225 00:25:40,180 --> 00:25:48,310 was not verified by the ABC would be subject to a fine of five million shillings fifty thousand U.S. dollars. 226 00:25:48,310 --> 00:25:56,380 But anybody media outlet that was found culpable of telling the story that wasn't the official sanctioned election story was opening itself up to 227 00:25:56,380 --> 00:26:07,750 crazy to crippling violence that when we had this power sharing in and the media did a three media houses did to go on air with what was happening. 228 00:26:07,750 --> 00:26:14,350 Twitter. I'm speaking this is kind of like inside us, but you don't even details at this point if you don't have them yet. 229 00:26:14,350 --> 00:26:27,400 That every day the warm air, they were being fired by the media watchdog because they had been telling a story that hadn't been officially solved. 230 00:26:27,400 --> 00:26:30,610 So this is why this change theme was really important to me. 231 00:26:30,610 --> 00:26:40,720 I didn't want to just swoop into the 2017 election and begin making summary observations that were not grounded in some measure of integrity. 232 00:26:40,720 --> 00:26:47,980 But at the same time, in some measure of depth and the final theme is connexion. 233 00:26:47,980 --> 00:26:55,660 As I said, one of the things that struck me when I was talking to the tech guys was the fact that really, 234 00:26:55,660 --> 00:27:04,300 in Silicon Valley, Africa does not exist outside we, shahidi and M-Pesa. 235 00:27:04,300 --> 00:27:07,000 It doesn't give you an example. 236 00:27:07,000 --> 00:27:14,740 Yesterday, the New York Times had an article about an actual election interference on social media, and they said in their headline, 237 00:27:14,740 --> 00:27:22,120 the Russians perfected the technique in 2016, and now it's being rolled out in Brazil and Bangladesh. 238 00:27:22,120 --> 00:27:31,330 Whatever afterwards. Now, if you know anything about Kenyan politics, you know that that's just not where the story begins. 239 00:27:31,330 --> 00:27:37,120 Cambridge Analytica, the bane of our political existence, has been active in Kenya since 2013. 240 00:27:37,120 --> 00:27:43,060 They were active in Nigeria in 2016. I want to say, tell me, what does the Nigerian election 2000? 241 00:27:43,060 --> 00:27:49,550 50. They were asking the 2015 Nigerian election. They were active in South Africa as well. 242 00:27:49,550 --> 00:27:54,190 Right. They manipulate the same tactics that were used in the United States. 243 00:27:54,190 --> 00:28:01,240 General election in the Brexit vote were pioneered in Africa, were tested even in India. 244 00:28:01,240 --> 00:28:07,840 All of the social media interference that we're freaking out about was tested in Africa with no oversight because in Kenya, 245 00:28:07,840 --> 00:28:12,040 for example, we don't have a data protection law. We don't have a data privacy law. 246 00:28:12,040 --> 00:28:18,130 At the time, we didn't have a cyber security law. We had very lax laws of data collection and individuals. 247 00:28:18,130 --> 00:28:30,460 They ran a survey 2013. 47000 respondents gauged what Kenyans responded to and produced a strategy for the Jubilee administration that basically, 248 00:28:30,460 --> 00:28:38,770 when you think about Kenya's experience with the ICC, it was two British PR firms, one of which was Cambridge Analytica, then developed that. 249 00:28:38,770 --> 00:28:44,080 So this stuff doesn't start in 2016, so we can press it. 250 00:28:44,080 --> 00:28:51,130 But the idea that African politics is an insular thing that happens is driven by different motivations. 251 00:28:51,130 --> 00:29:02,800 You know, primordial tensions, wahaha, and that all of this other stuff that happens in the rest of the world is somehow qualitatively different. 252 00:29:02,800 --> 00:29:06,610 I found that very heartening to believe and to accept. 253 00:29:06,610 --> 00:29:14,560 And so there's a lot of stuff in this book that people who work in African politics, African studies, 254 00:29:14,560 --> 00:29:22,870 what do you really need to spend six pages talking about the development of social media? 255 00:29:22,870 --> 00:29:31,000 Do you really need this number of pages talking about tech platforms and Alexander Nix and Cambridge Analytica? 256 00:29:31,000 --> 00:29:36,910 Why can't you just talk about Raila and who can answer? 257 00:29:36,910 --> 00:29:39,940 For me, there was the idea of connexion. 258 00:29:39,940 --> 00:29:50,200 We have to stop cheating African issues as if they are unmoored and they're just floating on the ocean of knowledge separately from everybody else. 259 00:29:50,200 --> 00:29:59,740 We are in this world. We are part of this world, and what happens in Africa matters to the rest of the world and not in the way that you know it is. 260 00:29:59,740 --> 00:30:05,110 We are waiting for the rest of the world to save us. But in a sense of what I said before about agency, 261 00:30:05,110 --> 00:30:13,360 there are people actively making decisions that will have ramifications not just for African people, but for the rest of the world. 262 00:30:13,360 --> 00:30:18,430 To me, the most salient example of this right now is what's happening to elections in the world. 263 00:30:18,430 --> 00:30:25,540 Everything that you're freaking out about, about elections, about foreign interference in elections, 264 00:30:25,540 --> 00:30:32,200 about the fact that money is shaping electoral outcomes in a very alarming way. 265 00:30:32,200 --> 00:30:39,520 All of this stuff is things that we've been worrying about for the better part of the last twenty five years. 266 00:30:39,520 --> 00:30:49,180 The fact that people can buy elections in DRC, that the third candidate could be announced as the winner and people will accept it 267 00:30:49,180 --> 00:30:54,340 because they privilege the stability of the DRC over the economic stability of the DRC, 268 00:30:54,340 --> 00:30:58,150 over the well-being of the people of the Congo. That's not new. 269 00:30:58,150 --> 00:31:06,130 That didn't start in 2017. This is something for us as Kenyans, for example, that we've been struggling with since 2007. 270 00:31:06,130 --> 00:31:18,560 And if we don't start making. These Connexions, it's not just about you, you being the West surviving more, you know, preserving yourselves. 271 00:31:18,560 --> 00:31:22,220 It's about the fact that we're not building holistic philosophies, theories, 272 00:31:22,220 --> 00:31:27,110 viewpoints, practises about what kind of war we want to live in moving forward. 273 00:31:27,110 --> 00:31:38,780 And I'm always fascinated by the idea of future proofing or, you know, of the future reflecting some kind of universal human. 274 00:31:38,780 --> 00:31:47,240 I don't know thing, right? I hate this idea, this underlying idea that we are not connected and we are Africans. 275 00:31:47,240 --> 00:31:51,320 And so that's what I was writing about. That's one of the things that I was racing against. 276 00:31:51,320 --> 00:31:58,430 So there's a lot of references to things that you might not expect to find in the book about an African country. 277 00:31:58,430 --> 00:32:08,210 But as I say in one of the chapters, this is about how an unexpected place was using platforms. 278 00:32:08,210 --> 00:32:15,650 Text that was designed was not designed with them in mind to determine their own political agency. 279 00:32:15,650 --> 00:32:16,940 I'm going to leave. 280 00:32:16,940 --> 00:32:32,360 You actually had nothing else with them down here, but I'm going to leave you with, I guess, tie you back to what I said in the beginning. 281 00:32:32,360 --> 00:32:39,950 I wrote this book for myself as a person sitting in a seminar room in Oxford and 282 00:32:39,950 --> 00:32:47,000 not seeing herself represented in any of the literature that she was encountering. I've tried to read a book that is accessible. 283 00:32:47,000 --> 00:32:51,750 I've tried to avoid overly technical language. 284 00:32:51,750 --> 00:32:59,930 I strongly believe that if you can't explain what your research is doing to someone in plain language, then you don't know what you're doing. 285 00:32:59,930 --> 00:33:04,610 And so I try to avoid jargon. I try to. 286 00:33:04,610 --> 00:33:10,400 I think I'm funny, but I am not objective. 287 00:33:10,400 --> 00:33:20,570 I try to throw some jokes in there. And I hope that even if you are not a specialist in African politics, especially in African history, 288 00:33:20,570 --> 00:33:24,430 especially in Kenyan politics, Kenyan history and technology, whatever. 289 00:33:24,430 --> 00:33:42,800 But this is a book that will help you think, more curiously, more interestingly, more inclusively about this strange little country that I call home. 290 00:33:42,800 --> 00:33:44,544 Thank you.