1 00:00:15,076 --> 00:00:21,116 Speaker 1: Bushkin, I may have Higgins and this is solvable. Interviews 2 00:00:21,116 --> 00:00:24,276 Speaker 1: with the world's most innovative thinkers working to solve the 3 00:00:24,276 --> 00:00:28,836 Speaker 1: world's biggest problems. I'm Nikola Gilombic. I'm the founder and 4 00:00:28,916 --> 00:00:32,836 Speaker 1: chairman of the Harambee Youth Employment Accelerating So my solvable 5 00:00:32,996 --> 00:00:36,996 Speaker 1: is to reduce significantly youth unemployment in the South African 6 00:00:36,996 --> 00:00:43,276 Speaker 1: economy and increase young people's access to future work, which 7 00:00:43,356 --> 00:00:47,836 Speaker 1: is going to be globally and locally sustainable. South Africa 8 00:00:47,876 --> 00:00:51,076 Speaker 1: has one of the highest youth unemployment rates in the world. 9 00:00:51,756 --> 00:00:57,476 Speaker 1: Nikola's organization, the Harambee Youth Employment Accelerator, says that about 10 00:00:57,556 --> 00:01:00,876 Speaker 1: forty percent of this generation of eighteen to thirty four 11 00:01:00,956 --> 00:01:06,116 Speaker 1: year olds are expected to never secure stable work. Imagine 12 00:01:06,116 --> 00:01:09,236 Speaker 1: what that does to an individual, and then imagine that 13 00:01:09,236 --> 00:01:13,356 Speaker 1: it's happening to forty percent of young people in your country. 14 00:01:13,396 --> 00:01:17,596 Speaker 1: The impact is enormous, not only on the individual's well 15 00:01:17,636 --> 00:01:21,636 Speaker 1: being in health, but imagine the loss of potential, missing 16 00:01:21,636 --> 00:01:24,436 Speaker 1: out on the skills and energy of these people who 17 00:01:24,516 --> 00:01:28,796 Speaker 1: really should be shaping the country's future. In South Africa. 18 00:01:29,036 --> 00:01:32,436 Speaker 1: That lack of opportunity is still skewed by the legacy 19 00:01:32,476 --> 00:01:37,636 Speaker 1: of apartheid and now alongside rapid globalization, which has left 20 00:01:37,716 --> 00:01:42,396 Speaker 1: many young people geographically removed from job opportunities. You see, 21 00:01:42,476 --> 00:01:46,516 Speaker 1: under apartheid, non whites were forcibly moved to areas far 22 00:01:46,676 --> 00:01:50,516 Speaker 1: from city centers and not inequality endures today in the 23 00:01:50,636 --> 00:01:54,076 Speaker 1: time and money people have to spend traveling even to 24 00:01:54,116 --> 00:01:58,716 Speaker 1: find work. A twenty sixteen study found that young unemployed 25 00:01:58,756 --> 00:02:02,836 Speaker 1: people spend five hundred and sixty rand that's around thirty 26 00:02:02,836 --> 00:02:06,676 Speaker 1: eight dollars per month searching for work, and that's more 27 00:02:06,716 --> 00:02:10,956 Speaker 1: than the average per person income of the households our 28 00:02:10,956 --> 00:02:14,676 Speaker 1: guest Today, Nikola Gilambic is tackling the issue head on. 29 00:02:15,276 --> 00:02:18,716 Speaker 1: She's trying to bridge the gap between the skills unemployed 30 00:02:18,756 --> 00:02:23,156 Speaker 1: young people have and the skills potential employers are looking for. 31 00:02:24,036 --> 00:02:27,556 Speaker 1: Harambi is working on all sides of the problem. They're 32 00:02:27,596 --> 00:02:31,396 Speaker 1: working with the government to create jobs in tourism, conservation 33 00:02:31,636 --> 00:02:36,476 Speaker 1: and in building a green economy. They're also training unemployed people, 34 00:02:36,916 --> 00:02:40,716 Speaker 1: and they're training employers so that the employers can look 35 00:02:40,756 --> 00:02:45,636 Speaker 1: beyond paper qualifications and see real life skills. It's cool 36 00:02:45,676 --> 00:02:49,436 Speaker 1: how they work. Nicola uses face to face methods coupled 37 00:02:49,436 --> 00:02:53,196 Speaker 1: with big data and that work is now spreading beyond 38 00:02:53,236 --> 00:02:57,356 Speaker 1: South Africa. Okay, let's listen to Nicola now in conversation 39 00:02:57,476 --> 00:03:01,836 Speaker 1: with an Applebaum, can you describe to me the problem 40 00:03:01,916 --> 00:03:04,076 Speaker 1: in a nutshell? What is the problem that you're trying 41 00:03:04,116 --> 00:03:07,156 Speaker 1: to solve. South Africa has one of the highest youth 42 00:03:07,196 --> 00:03:12,276 Speaker 1: unemployment rates in the world, and that has multiple dimensions. Firstly, 43 00:03:12,636 --> 00:03:15,796 Speaker 1: our economy is just not producing enough jobs and all 44 00:03:15,876 --> 00:03:18,556 Speaker 1: most likely never produce enough jobs to absorb the young 45 00:03:18,596 --> 00:03:23,276 Speaker 1: people that we have. Secondly, we have an education system 46 00:03:23,356 --> 00:03:26,476 Speaker 1: that is not preparing young people for the world of work. 47 00:03:27,396 --> 00:03:31,076 Speaker 1: And Thirdly, we have massive inequality in South Africa. So 48 00:03:31,556 --> 00:03:34,796 Speaker 1: even the opportunities that do exist in the economy are 49 00:03:34,836 --> 00:03:39,996 Speaker 1: not accessible for young people from poor households who don't 50 00:03:39,996 --> 00:03:43,756 Speaker 1: have the social networks or the means to access those opportunities. 51 00:03:44,556 --> 00:03:48,276 Speaker 1: Why is this such an important problem to solve? So 52 00:03:48,476 --> 00:03:56,316 Speaker 1: if we talk about global inequality and sustainability, households around 53 00:03:56,356 --> 00:03:59,916 Speaker 1: the world have to feel that young people can transision 54 00:03:59,956 --> 00:04:03,876 Speaker 1: into an economy and provide for families. Otherwise we just 55 00:04:04,036 --> 00:04:09,756 Speaker 1: do not have a stable social core. So it's really 56 00:04:09,876 --> 00:04:13,716 Speaker 1: vital that young people feel that they can progress. Young 57 00:04:13,716 --> 00:04:17,076 Speaker 1: people feel they have opportunity. Young people feel they have 58 00:04:17,156 --> 00:04:21,396 Speaker 1: mobility in society, both in order to sustain social cohesion 59 00:04:21,916 --> 00:04:25,876 Speaker 1: as well as to actually grow productive economies into the future. 60 00:04:26,436 --> 00:04:30,516 Speaker 1: And in South Africa today, as I think is becoming 61 00:04:30,556 --> 00:04:34,076 Speaker 1: the fact in many economies around the world, young people 62 00:04:34,316 --> 00:04:37,876 Speaker 1: who should be an asset as the working age population, 63 00:04:38,196 --> 00:04:41,276 Speaker 1: are actually trapped outside of the economy. When one looks 64 00:04:41,316 --> 00:04:45,356 Speaker 1: at a problem like youth unemployment, which in South Africa 65 00:04:45,476 --> 00:04:47,676 Speaker 1: is much higher than it is in many other parts 66 00:04:47,676 --> 00:04:50,716 Speaker 1: of the world, how does someone like you begin to 67 00:04:50,716 --> 00:04:52,836 Speaker 1: tackle it? How do you break the problem down in 68 00:04:52,876 --> 00:04:56,156 Speaker 1: your head? So we've decided to be really pragmatic actually 69 00:04:56,156 --> 00:05:00,836 Speaker 1: insolving the problem. The first starting point was to understand where, 70 00:05:00,876 --> 00:05:04,276 Speaker 1: in fact are opportunities in the economy and where are 71 00:05:04,276 --> 00:05:06,516 Speaker 1: they today and where are they likely to be in future. 72 00:05:07,316 --> 00:05:09,756 Speaker 1: And then to understand who are the young people that 73 00:05:09,956 --> 00:05:15,396 Speaker 1: we have, what is their actual educational and readiness for work, 74 00:05:15,836 --> 00:05:18,236 Speaker 1: and what are they capable of? What are their assets, 75 00:05:18,276 --> 00:05:21,476 Speaker 1: what are their attributes? And how might we match the 76 00:05:21,556 --> 00:05:24,076 Speaker 1: young people we have and the opportunities we have in 77 00:05:24,116 --> 00:05:27,276 Speaker 1: a better way, And where we find gaps, what is 78 00:05:27,276 --> 00:05:30,916 Speaker 1: the shortest, quickest and most efficient way to close those gaps, 79 00:05:31,396 --> 00:05:34,836 Speaker 1: not falling back on the traditional models of needing to 80 00:05:34,876 --> 00:05:39,276 Speaker 1: send people to university for multiple years or needing to 81 00:05:39,476 --> 00:05:43,476 Speaker 1: create entirely new jobs. Is Can we work with young 82 00:05:43,596 --> 00:05:46,996 Speaker 1: people to close gaps in a much more agile way, 83 00:05:47,036 --> 00:05:49,916 Speaker 1: to judge their potential in new ways, to be able 84 00:05:49,916 --> 00:05:52,396 Speaker 1: to see attributes that they have that might be suitable 85 00:05:52,436 --> 00:05:55,836 Speaker 1: for existing jobs. Can we also work with employers to 86 00:05:55,956 --> 00:05:58,676 Speaker 1: change the way they're higher Can we change the way 87 00:05:58,676 --> 00:06:01,596 Speaker 1: employers judge the potential of young people? Could you give 88 00:06:01,636 --> 00:06:05,356 Speaker 1: some examples of what you found when, for example, when 89 00:06:05,356 --> 00:06:08,636 Speaker 1: you looked at young people, what were they lacking and 90 00:06:08,676 --> 00:06:11,396 Speaker 1: what was that you can give them that wasn't already 91 00:06:11,396 --> 00:06:15,076 Speaker 1: available through the educational system. So, when we worked with 92 00:06:15,116 --> 00:06:18,716 Speaker 1: employers in some growing areas of the economy, like global 93 00:06:18,756 --> 00:06:24,116 Speaker 1: business services, back office processing, and banking, employers still today, 94 00:06:24,356 --> 00:06:29,196 Speaker 1: despite tech, we're hiring people into those jobs and we're 95 00:06:29,236 --> 00:06:32,916 Speaker 1: tending to seek graduates for those jobs. And we were like, well, 96 00:06:33,156 --> 00:06:36,236 Speaker 1: do those jobs rarely require graduates? They were also running 97 00:06:36,676 --> 00:06:40,556 Speaker 1: mathematics tests for a number of those jobs as screeners, 98 00:06:40,636 --> 00:06:44,556 Speaker 1: and we're screening people out in South Africa, most young 99 00:06:44,596 --> 00:06:46,756 Speaker 1: people and especially those from poor families will not have 100 00:06:46,796 --> 00:06:49,476 Speaker 1: studied mathematics at school and will not have performed well 101 00:06:49,476 --> 00:06:53,956 Speaker 1: in mathematics. When you actually looked at the jobs, they 102 00:06:53,956 --> 00:06:57,916 Speaker 1: didn't require mathematics and they certainly didn't require university degrees. 103 00:06:58,476 --> 00:07:01,636 Speaker 1: Employers were just using those as screening proxies. So what 104 00:07:01,676 --> 00:07:04,596 Speaker 1: we were able to do is then look at the 105 00:07:04,636 --> 00:07:07,516 Speaker 1: young people and say, well, what do I need to 106 00:07:07,556 --> 00:07:10,596 Speaker 1: be a really great call center agent or what do 107 00:07:10,636 --> 00:07:15,116 Speaker 1: I need to be a really good customer service facing individual? 108 00:07:15,316 --> 00:07:18,356 Speaker 1: And of course what they're needed was great conversational competence. 109 00:07:18,996 --> 00:07:21,516 Speaker 1: What they needed was to be well versed in English. 110 00:07:21,596 --> 00:07:24,196 Speaker 1: What they needed was to be able to multitask on 111 00:07:24,196 --> 00:07:28,436 Speaker 1: a computer. And all three of those actually maybe things well. 112 00:07:28,516 --> 00:07:30,876 Speaker 1: So in the case of conversational competence, that may be 113 00:07:30,956 --> 00:07:34,276 Speaker 1: an attribute they already have. In the case of learning 114 00:07:34,316 --> 00:07:36,876 Speaker 1: to multitask on a computer, it may be a case 115 00:07:36,876 --> 00:07:38,756 Speaker 1: of I've never seen a computer, but I've got a 116 00:07:38,796 --> 00:07:40,836 Speaker 1: high learning potential and if you give me one, I'll 117 00:07:40,916 --> 00:07:44,276 Speaker 1: learn really quickly. And in the case of practicing English, 118 00:07:44,316 --> 00:07:46,916 Speaker 1: that's an opportunity to speak to somebody who speaks English 119 00:07:47,276 --> 00:07:50,676 Speaker 1: rather than going back to school. So you know what 120 00:07:50,716 --> 00:07:52,996 Speaker 1: we were able to do is then partner with the 121 00:07:53,076 --> 00:07:58,596 Speaker 1: government to try and redirect some of the training spending 122 00:07:58,876 --> 00:08:01,636 Speaker 1: that's happening in government, some of the skills money that 123 00:08:01,836 --> 00:08:04,676 Speaker 1: is being in fact, vast amounts that are being spent 124 00:08:04,716 --> 00:08:08,476 Speaker 1: by both government and the private sector on training young 125 00:08:08,556 --> 00:08:12,636 Speaker 1: people that isn't relevant to the work that's available, and 126 00:08:12,836 --> 00:08:15,516 Speaker 1: that just frustrates them further because they spend their own 127 00:08:15,556 --> 00:08:18,276 Speaker 1: money and their own time and the government's money being 128 00:08:18,316 --> 00:08:21,476 Speaker 1: trained and still don't actually have the basic competencies they 129 00:08:21,556 --> 00:08:23,596 Speaker 1: need for the jobs that are available. So what we've 130 00:08:23,636 --> 00:08:28,076 Speaker 1: been trying to do is find these short solutions, quick solutions, 131 00:08:28,156 --> 00:08:32,356 Speaker 1: much more efficient solutions that give young people just the 132 00:08:32,436 --> 00:08:35,116 Speaker 1: leg up they need to get into their first opportunities 133 00:08:35,516 --> 00:08:37,876 Speaker 1: and make their way to get a foothold in the economy. 134 00:08:38,196 --> 00:08:41,116 Speaker 1: Can you give me a specific example of a kind 135 00:08:41,116 --> 00:08:44,716 Speaker 1: of short term program or solution, maybe an individual that 136 00:08:44,756 --> 00:08:47,676 Speaker 1: you've met, and what kind of training do you mean 137 00:08:48,596 --> 00:08:51,556 Speaker 1: in the short term? So, for example, some of the 138 00:08:51,596 --> 00:08:56,476 Speaker 1: programs are a few days long to prepare somebody for 139 00:08:57,356 --> 00:09:01,676 Speaker 1: customer service roles where they haven't been customers themselves. They 140 00:09:01,756 --> 00:09:04,956 Speaker 1: come from a poor family and they haven't had the 141 00:09:04,996 --> 00:09:08,436 Speaker 1: opportunity to just kind of engage with strangers and communicate 142 00:09:08,436 --> 00:09:10,556 Speaker 1: in English with rangers, and a lot of that is 143 00:09:10,596 --> 00:09:14,716 Speaker 1: just about the confidence to find one's voice and engage, 144 00:09:15,116 --> 00:09:17,916 Speaker 1: particularly in English. Many of them have been sitting at 145 00:09:17,916 --> 00:09:20,476 Speaker 1: home unemployed and just getting used to the fact that 146 00:09:20,516 --> 00:09:22,636 Speaker 1: they have to stand on their feet all day. Comes 147 00:09:22,636 --> 00:09:24,996 Speaker 1: a really important part of the training. It's a simulation 148 00:09:25,036 --> 00:09:28,236 Speaker 1: of the work that prepares people to behave in a 149 00:09:28,276 --> 00:09:31,796 Speaker 1: different way. Getting ready to actually and make a plan 150 00:09:31,836 --> 00:09:35,396 Speaker 1: at home to get places on time is actually something, 151 00:09:35,436 --> 00:09:38,716 Speaker 1: you know, punctuality something employers really really value to think 152 00:09:38,756 --> 00:09:41,476 Speaker 1: it's most likely to get a young person fired in 153 00:09:41,476 --> 00:09:45,036 Speaker 1: South Africa is not arriving on time, but actually navigating 154 00:09:45,076 --> 00:09:48,236 Speaker 1: transport systems in big cities when you're poor is a 155 00:09:48,276 --> 00:09:51,436 Speaker 1: difficult process, especially if you've got childcare concerns as well. 156 00:09:51,716 --> 00:09:55,356 Speaker 1: So a lot of our training is not really training. 157 00:09:55,516 --> 00:09:58,476 Speaker 1: A lot of it is behavioral simulation. A lot of 158 00:09:58,516 --> 00:10:03,236 Speaker 1: it is preparing young people to be ready to take 159 00:10:03,316 --> 00:10:05,876 Speaker 1: on the challenges that that world of work will present 160 00:10:05,956 --> 00:10:08,436 Speaker 1: for them. So that's like a simple example in retail, 161 00:10:08,516 --> 00:10:11,396 Speaker 1: But other one you know would be you know, when 162 00:10:11,436 --> 00:10:15,116 Speaker 1: I say a short program, perhaps an eight week program 163 00:10:15,116 --> 00:10:20,636 Speaker 1: where I am practicing and improving my written English communication, 164 00:10:20,756 --> 00:10:24,796 Speaker 1: or I am practicing my spoken English communication, I am 165 00:10:24,836 --> 00:10:28,436 Speaker 1: demonstrating problem solving capabilities that would be relevant in the 166 00:10:28,476 --> 00:10:31,676 Speaker 1: financial services job that I'm going to go into. And 167 00:10:31,956 --> 00:10:35,516 Speaker 1: a third example would be perhaps a six month program 168 00:10:35,796 --> 00:10:39,236 Speaker 1: where I'm actually, despite the fact that I didn't do 169 00:10:39,516 --> 00:10:42,836 Speaker 1: or succeed in mathematics at school, I'm actually born to code, 170 00:10:43,356 --> 00:10:46,476 Speaker 1: and somebody has found that out about me and they're 171 00:10:46,516 --> 00:10:48,076 Speaker 1: now are going to put me through a coding boot 172 00:10:48,116 --> 00:10:51,276 Speaker 1: camp which is not just going to accelerate me into 173 00:10:51,316 --> 00:10:55,356 Speaker 1: coding despite my absence of good schooling, but also going 174 00:10:55,396 --> 00:10:59,116 Speaker 1: to give me the kind of behavioral readiness to work 175 00:10:59,116 --> 00:11:02,996 Speaker 1: in teams, to collaborate, to problem solve in the way 176 00:11:02,996 --> 00:11:05,036 Speaker 1: that I'm going to need to do when I land 177 00:11:05,476 --> 00:11:08,876 Speaker 1: in a junior programming role. How do you work with employers? 178 00:11:09,236 --> 00:11:12,556 Speaker 1: How do you change their prejudices about young people and 179 00:11:12,636 --> 00:11:14,716 Speaker 1: who would be a good person to hire and who 180 00:11:15,116 --> 00:11:17,076 Speaker 1: is that a kind of a training course they have 181 00:11:17,156 --> 00:11:19,316 Speaker 1: to go through as well? You know, the change management 182 00:11:19,396 --> 00:11:22,236 Speaker 1: journey with employers is probably the hardest part of this journey, 183 00:11:22,956 --> 00:11:25,636 Speaker 1: and some of the tactics that we've employed over the 184 00:11:26,036 --> 00:11:29,156 Speaker 1: last seven years that have really paid off is understanding 185 00:11:29,196 --> 00:11:33,476 Speaker 1: that employers are most influenced by other employers, and so 186 00:11:33,796 --> 00:11:38,756 Speaker 1: Harumby started with some early adopter employers who agreed to 187 00:11:38,796 --> 00:11:41,956 Speaker 1: create the proofpoint and then also to be advocates with 188 00:11:41,996 --> 00:11:45,036 Speaker 1: other employers about the fact that this cohort of young 189 00:11:45,116 --> 00:11:49,396 Speaker 1: people could demonstrate the potential to do these jobs, could 190 00:11:49,396 --> 00:11:52,316 Speaker 1: perform in these jobs. What we were able to do 191 00:11:52,436 --> 00:11:55,156 Speaker 1: also was right from the outset, gather a lot of 192 00:11:55,276 --> 00:11:58,156 Speaker 1: data and create the evidence space that we needed to 193 00:11:58,196 --> 00:12:02,796 Speaker 1: be able to demonstrate this evidence of this that the 194 00:12:02,876 --> 00:12:05,956 Speaker 1: young people could meet certain benchmarks in terms of their 195 00:12:06,076 --> 00:12:12,236 Speaker 1: psychometric and competence potential. So a combination of a lot 196 00:12:12,276 --> 00:12:16,636 Speaker 1: of relationship based change management work with employers as well 197 00:12:16,676 --> 00:12:21,036 Speaker 1: as data and evidence to back this up, I think 198 00:12:21,116 --> 00:12:25,476 Speaker 1: has allowed us to go from having five employers as 199 00:12:25,556 --> 00:12:29,156 Speaker 1: partners at the outset to now having over five hundred 200 00:12:29,156 --> 00:12:33,636 Speaker 1: employers who on a routine basis are accessing young people 201 00:12:34,236 --> 00:12:38,196 Speaker 1: from this pool. Can you give me some idea of 202 00:12:38,236 --> 00:12:40,836 Speaker 1: the effectiveness of the program? How do you know that 203 00:12:40,836 --> 00:12:42,836 Speaker 1: this is working? So I think the first thing is 204 00:12:42,836 --> 00:12:46,276 Speaker 1: that Harrambian now is starting to operate as system scale. 205 00:12:46,676 --> 00:12:48,756 Speaker 1: So we have half a million young people in the 206 00:12:48,796 --> 00:12:52,276 Speaker 1: Harrambian network and are going to have one and a 207 00:12:52,316 --> 00:12:56,356 Speaker 1: half million young people in the network by twenty twenty two. Also, 208 00:12:56,436 --> 00:12:59,156 Speaker 1: by that time, it will mean that for every cohort 209 00:12:59,196 --> 00:13:02,316 Speaker 1: of young people exiting the schooling system or the education 210 00:13:02,396 --> 00:13:06,316 Speaker 1: system every year, that the large percentage of those that 211 00:13:06,356 --> 00:13:10,636 Speaker 1: would normally fall out into not being in education, training 212 00:13:10,716 --> 00:13:12,956 Speaker 1: or employment by the end of the first year will 213 00:13:12,996 --> 00:13:15,116 Speaker 1: now be on a pathway. They will be in a 214 00:13:15,156 --> 00:13:18,716 Speaker 1: positive network, they will be improving their employability, and they 215 00:13:18,716 --> 00:13:21,756 Speaker 1: will be getting access to information about opportunities. So that 216 00:13:21,916 --> 00:13:25,836 Speaker 1: is a system scale solution for the country. Harambee is 217 00:13:25,876 --> 00:13:29,956 Speaker 1: in partnership with the Greatest City region of Johannesburg around 218 00:13:30,236 --> 00:13:34,276 Speaker 1: being a clearinghouse for unemployed people across the city, and 219 00:13:34,356 --> 00:13:37,356 Speaker 1: I think that that model is a replicable one and 220 00:13:37,636 --> 00:13:41,236 Speaker 1: is also being adopted nationally by the national government to 221 00:13:41,356 --> 00:13:45,076 Speaker 1: work in tandem with the Department of Labor to manage 222 00:13:45,436 --> 00:13:50,196 Speaker 1: the pathways of young people from learning to earning. And 223 00:13:50,596 --> 00:13:54,716 Speaker 1: I think that as the Harambee platform becomes a scalable 224 00:13:54,996 --> 00:13:57,996 Speaker 1: to the system, we're also seeing the dramatic impact that 225 00:13:58,036 --> 00:14:01,756 Speaker 1: it can have. It doesn't just translate into more young 226 00:14:01,836 --> 00:14:07,116 Speaker 1: people from poorer household accessing available opportunities. We're also able 227 00:14:07,156 --> 00:14:11,996 Speaker 1: to start working with growth sectors, different industries that are growing, 228 00:14:12,436 --> 00:14:15,476 Speaker 1: new job families that are growing, and to be able 229 00:14:15,516 --> 00:14:18,956 Speaker 1: to almost plan ahead how we can prepare colds of 230 00:14:19,076 --> 00:14:22,156 Speaker 1: young people for the jobs of the future, and to 231 00:14:22,196 --> 00:14:25,516 Speaker 1: be able to match them to areas or parts of 232 00:14:25,516 --> 00:14:28,956 Speaker 1: the country on a place based basis where we can say, 233 00:14:29,436 --> 00:14:31,596 Speaker 1: you know, we're going to grow these industries here, how 234 00:14:31,636 --> 00:14:34,036 Speaker 1: do we get the young people here ready for those jobs? 235 00:14:34,036 --> 00:14:36,836 Speaker 1: And so that allows us to, in a very kind 236 00:14:36,876 --> 00:14:41,116 Speaker 1: of agile way as a country, start to at least 237 00:14:41,276 --> 00:14:43,396 Speaker 1: the growth that we do have, make it work for 238 00:14:43,436 --> 00:14:46,676 Speaker 1: our young people and particularly our poor young people. So 239 00:14:46,876 --> 00:14:50,556 Speaker 1: imagine there's a young person in South Africa who's finished school, 240 00:14:50,636 --> 00:14:54,996 Speaker 1: who's unemployed, who wants to be employed. What exactly are 241 00:14:54,996 --> 00:14:58,116 Speaker 1: the steps that he has to go through in order 242 00:14:58,156 --> 00:15:00,476 Speaker 1: to get a job and how does he find out 243 00:15:00,476 --> 00:15:03,396 Speaker 1: about you? How does he what does he access a website? 244 00:15:03,916 --> 00:15:06,796 Speaker 1: Do you find him? How does it work? So young 245 00:15:06,836 --> 00:15:11,036 Speaker 1: people can access Harambi and mostly word through a mobile 246 00:15:11,076 --> 00:15:15,276 Speaker 1: platform which doesn't require a smartphone or a lot of data. 247 00:15:15,436 --> 00:15:18,796 Speaker 1: It's pretty much free and for them to apply to Harrumbi, 248 00:15:19,836 --> 00:15:22,996 Speaker 1: they will get called back and we find that while 249 00:15:23,036 --> 00:15:25,236 Speaker 1: we gather a lot of data from them on the 250 00:15:25,276 --> 00:15:28,436 Speaker 1: mobile phone, it's really important to have somebody interacting with 251 00:15:28,476 --> 00:15:33,116 Speaker 1: them in person. They really appreciate somebody taking the time 252 00:15:33,196 --> 00:15:36,316 Speaker 1: to understand them better, to understand their circumstance better, and 253 00:15:36,316 --> 00:15:39,716 Speaker 1: to make a connection with them. And having made that connection, 254 00:15:39,716 --> 00:15:43,396 Speaker 1: we're then able to sustain that connection through the mobile 255 00:15:43,476 --> 00:15:48,476 Speaker 1: network and through ongoing interactions with young people who get 256 00:15:48,476 --> 00:15:52,996 Speaker 1: offered things over time depending on where they are, what 257 00:15:53,036 --> 00:15:56,116 Speaker 1: their attributes are. So they will be given a range 258 00:15:56,156 --> 00:15:59,596 Speaker 1: of assessments and those assessments will tell us a lot 259 00:15:59,636 --> 00:16:03,196 Speaker 1: about their eligibility for different kinds of roles in the economy. 260 00:16:03,996 --> 00:16:07,676 Speaker 1: But we're trying to use assessments that are not traditional ones. 261 00:16:07,716 --> 00:16:11,396 Speaker 1: We're trying to use assessment that don't exclude young people 262 00:16:11,516 --> 00:16:15,676 Speaker 1: based on their education qualifications, that don't exclude young people 263 00:16:15,716 --> 00:16:19,676 Speaker 1: based on their poverty and social circumstance, but that rather 264 00:16:19,836 --> 00:16:22,796 Speaker 1: can go through those and see the potential of young 265 00:16:22,876 --> 00:16:26,596 Speaker 1: people their attributes. You know, it may be that what 266 00:16:26,716 --> 00:16:30,676 Speaker 1: employers will say is we're looking for grits and resourcefulness 267 00:16:30,756 --> 00:16:34,916 Speaker 1: and problem solving. Well, a young person who's been struggling 268 00:16:34,956 --> 00:16:39,036 Speaker 1: to stay in school and get themselves through school, responsible 269 00:16:39,156 --> 00:16:42,956 Speaker 1: for many things in a poor household, and dealing with 270 00:16:43,356 --> 00:16:47,036 Speaker 1: financial issues day to day has demonstrated a huge amount 271 00:16:47,076 --> 00:16:49,836 Speaker 1: of grits and resourcefulness, which if we are able to 272 00:16:50,636 --> 00:16:53,356 Speaker 1: capture that and demonstrate that in the profile of that 273 00:16:53,516 --> 00:16:56,396 Speaker 1: young person, may mean that an employer can really see 274 00:16:56,436 --> 00:16:59,276 Speaker 1: their potential and understand that they can be an asset 275 00:16:59,316 --> 00:17:04,116 Speaker 1: in the workplace. So Harrumpies process involves a lot of 276 00:17:04,396 --> 00:17:07,676 Speaker 1: new proxies and new assessments that we're using to judge 277 00:17:07,716 --> 00:17:10,996 Speaker 1: young people's potential. If they stay in the network, they 278 00:17:10,996 --> 00:17:13,436 Speaker 1: can also grow their profile, so they will be nudge 279 00:17:13,476 --> 00:17:18,996 Speaker 1: and encouraged to improve things about themselves or gain elements 280 00:17:18,996 --> 00:17:21,956 Speaker 1: of their profile that would strengthen their likelihood to succeed 281 00:17:21,956 --> 00:17:26,196 Speaker 1: in the economy if they're eligible for and could access 282 00:17:26,236 --> 00:17:31,036 Speaker 1: an opportunity, for example, that required them to have conversational English, 283 00:17:31,156 --> 00:17:33,756 Speaker 1: like a great tourism job or a job in a 284 00:17:33,836 --> 00:17:36,476 Speaker 1: call center, which in a South African context would be 285 00:17:36,516 --> 00:17:39,356 Speaker 1: a high quality job for these young people. You know, 286 00:17:39,396 --> 00:17:42,436 Speaker 1: can we nudge them to an opportunity near where they 287 00:17:42,516 --> 00:17:45,356 Speaker 1: live where they could practice their English. Can we link 288 00:17:45,396 --> 00:17:50,756 Speaker 1: them to an opportunity to retake one module of mathematics 289 00:17:50,796 --> 00:17:52,916 Speaker 1: if they were going into or eligible for a job 290 00:17:52,956 --> 00:17:57,556 Speaker 1: that really did require that. Could we take their theoretical 291 00:17:57,636 --> 00:18:00,796 Speaker 1: qualification as an electrician and give them an opportunity to 292 00:18:01,796 --> 00:18:05,676 Speaker 1: visit an institution where they could actually apply what they've 293 00:18:05,756 --> 00:18:07,956 Speaker 1: learned for the first time, because they won't have had 294 00:18:07,956 --> 00:18:12,596 Speaker 1: that opportunity before. So these are very practical nudges and 295 00:18:12,716 --> 00:18:15,636 Speaker 1: opportunities that we would constantly provide to those young people 296 00:18:15,996 --> 00:18:19,636 Speaker 1: to what we call bring them closer to work, and 297 00:18:19,676 --> 00:18:24,556 Speaker 1: then have them in this very sophisticated data driven network 298 00:18:25,316 --> 00:18:28,996 Speaker 1: that also then has demand side intelligence, knows about all 299 00:18:29,036 --> 00:18:31,556 Speaker 1: the jobs that are available in the economy and in 300 00:18:31,596 --> 00:18:34,556 Speaker 1: the geographies in which these young people live, and are 301 00:18:34,596 --> 00:18:38,076 Speaker 1: able to match them and link them to those opportunities 302 00:18:38,076 --> 00:18:42,396 Speaker 1: on an ongoing basis. So your process is really quite individualized. 303 00:18:42,596 --> 00:18:44,796 Speaker 1: You have teams of people who work for you, who 304 00:18:44,836 --> 00:18:48,476 Speaker 1: are accustomed to speaking to young people across a wide 305 00:18:48,556 --> 00:18:51,076 Speaker 1: range of very wide range of languages and cultures in 306 00:18:51,116 --> 00:18:55,716 Speaker 1: South Africa and then personalizing a program for them. Although 307 00:18:55,716 --> 00:18:57,876 Speaker 1: we have half a million young people in the network 308 00:18:57,956 --> 00:19:00,156 Speaker 1: we talk about it's you know, it's five hundred thousand 309 00:19:00,156 --> 00:19:03,676 Speaker 1: cohorts of one, and every individual in the network should 310 00:19:03,716 --> 00:19:07,036 Speaker 1: feel like they're on their own personal journey, that there 311 00:19:07,036 --> 00:19:10,676 Speaker 1: are young people at the other end of a call 312 00:19:11,036 --> 00:19:13,796 Speaker 1: that can speak to them, that understand and have empathy 313 00:19:13,916 --> 00:19:18,436 Speaker 1: with their circumstance, who until fairly recently were in the 314 00:19:18,476 --> 00:19:20,476 Speaker 1: same position as them and have now made it into 315 00:19:20,516 --> 00:19:24,036 Speaker 1: the economy and can guide and advise them. And they 316 00:19:24,076 --> 00:19:27,596 Speaker 1: should feel like the profile that they receive and the 317 00:19:27,676 --> 00:19:32,956 Speaker 1: advice and nudges that they get are highly relevant and 318 00:19:32,996 --> 00:19:36,156 Speaker 1: appropriate to them as an individual and to their personal 319 00:19:36,196 --> 00:19:39,836 Speaker 1: circumstance where they live, the kind of household they're in, 320 00:19:40,516 --> 00:19:42,716 Speaker 1: the kind of financial means that they have, the kind 321 00:19:42,716 --> 00:19:45,756 Speaker 1: of transport systems they can access, and the kind of 322 00:19:45,796 --> 00:19:48,596 Speaker 1: school that they went to, and that what's on offer 323 00:19:48,596 --> 00:19:52,956 Speaker 1: should feel highly personalized for them. But obviously, to do that, 324 00:19:53,396 --> 00:20:00,516 Speaker 1: we've had to build very scalable systems, which include taken 325 00:20:00,556 --> 00:20:04,756 Speaker 1: cloud based systems that enable us to gather a lot 326 00:20:04,756 --> 00:20:07,516 Speaker 1: of intelligence that enables us to provide a really quality 327 00:20:07,516 --> 00:20:11,156 Speaker 1: service to individuals, as as well as a national call 328 00:20:11,276 --> 00:20:14,476 Speaker 1: center which means we can actually have personalized interaction with 329 00:20:14,556 --> 00:20:18,076 Speaker 1: young people over the phone, and then in community services, 330 00:20:18,116 --> 00:20:21,436 Speaker 1: in partnerships with government and community organizations, where we can 331 00:20:21,476 --> 00:20:27,476 Speaker 1: extend services and opportunities to young people that are local 332 00:20:27,756 --> 00:20:29,836 Speaker 1: to where they live. It's fascinating as a kind of 333 00:20:29,876 --> 00:20:32,636 Speaker 1: combination of some very old fashioned thinking, you know, one 334 00:20:32,756 --> 00:20:36,636 Speaker 1: to one speak to the person individually, with very high 335 00:20:36,636 --> 00:20:39,316 Speaker 1: tech collection of data so that you know where the 336 00:20:39,396 --> 00:20:42,476 Speaker 1: jobs are in their area and so on. Exactly. I mean, 337 00:20:42,476 --> 00:20:47,036 Speaker 1: I think we fundamentally believe that people need to interact 338 00:20:47,076 --> 00:20:49,836 Speaker 1: with other people, and in fact, we've built a network 339 00:20:49,876 --> 00:20:53,516 Speaker 1: because they need peer networks. They need people to care 340 00:20:53,516 --> 00:20:56,476 Speaker 1: about them. They need to feel that somebody is seeing them, 341 00:20:57,036 --> 00:21:00,396 Speaker 1: and you can't achieve that just with a tech platform. 342 00:21:01,196 --> 00:21:04,916 Speaker 1: On the other hand, the tech platform enables us to 343 00:21:04,956 --> 00:21:07,836 Speaker 1: do things that simply would not be possible at scale 344 00:21:08,356 --> 00:21:11,396 Speaker 1: if we were just running a kind of high touch, 345 00:21:11,716 --> 00:21:15,516 Speaker 1: personalized service, not just the data that we're able to 346 00:21:15,556 --> 00:21:18,996 Speaker 1: gather both on the demand and the supply side, but 347 00:21:19,036 --> 00:21:22,076 Speaker 1: also to once you've made a connection with somebody's stay 348 00:21:22,076 --> 00:21:26,196 Speaker 1: in communication with them through a tech platform that is 349 00:21:26,436 --> 00:21:30,516 Speaker 1: not just scalable but highly affordable. Is this a system 350 00:21:30,636 --> 00:21:34,236 Speaker 1: that you think could be taken to other countries. Does 351 00:21:34,276 --> 00:21:36,396 Speaker 1: this just work for South Africa or do you envision 352 00:21:36,436 --> 00:21:39,156 Speaker 1: it working in other reports of Africa or in the world. 353 00:21:39,556 --> 00:21:43,356 Speaker 1: I definitely think it has application beyond South Africa. We 354 00:21:43,476 --> 00:21:47,916 Speaker 1: have recently begun the process of applying the model in 355 00:21:48,316 --> 00:21:52,356 Speaker 1: Rwanda in partnership with the government there and MasterCard Foundation 356 00:21:52,396 --> 00:21:56,436 Speaker 1: and others, and we have had a tremendous amount of 357 00:21:56,516 --> 00:21:58,996 Speaker 1: interest from other parts of Africa, but also other parts 358 00:21:58,996 --> 00:22:02,476 Speaker 1: of the world. I think the world has caught up 359 00:22:02,476 --> 00:22:05,916 Speaker 1: with us on this future of work problem and also 360 00:22:06,076 --> 00:22:08,876 Speaker 1: of the problem of young people in particularly poor young 361 00:22:09,236 --> 00:22:12,276 Speaker 1: or being excluded from the economy. I definitely think that 362 00:22:13,316 --> 00:22:17,516 Speaker 1: the solutions that we're building have great relevance globally. The 363 00:22:17,636 --> 00:22:22,716 Speaker 1: way we're assessing potential, the way we're managing demands supply 364 00:22:22,836 --> 00:22:26,356 Speaker 1: matching on a much more real time and agile basis, 365 00:22:26,516 --> 00:22:28,876 Speaker 1: and the way we're breaking through some of the barriers 366 00:22:28,916 --> 00:22:32,516 Speaker 1: of the education system. I think we'll have relevance way 367 00:22:32,556 --> 00:22:35,836 Speaker 1: beyond South Africa, probably globally. So give me an example 368 00:22:36,036 --> 00:22:39,516 Speaker 1: of how your program might change the life of one individual. 369 00:22:39,716 --> 00:22:41,876 Speaker 1: So let me tell you about Cindy and She lives 370 00:22:41,876 --> 00:22:46,276 Speaker 1: in a poor township outside of Cape Town in South Africa, 371 00:22:46,476 --> 00:22:49,436 Speaker 1: member of a fairly large family. No one in the 372 00:22:49,476 --> 00:22:52,836 Speaker 1: family's working, single mom. She has a young child of 373 00:22:52,876 --> 00:22:57,276 Speaker 1: her own and the child is not in daycare. The 374 00:22:57,356 --> 00:23:01,876 Speaker 1: family kind of is scrounding around food on a daily basis, 375 00:23:02,476 --> 00:23:05,356 Speaker 1: accessing some government grants pretty much run out by the 376 00:23:05,436 --> 00:23:09,436 Speaker 1: end of the month, and so in that circumstance, Indie 377 00:23:09,836 --> 00:23:14,676 Speaker 1: manages to hear about the her rumby Youth Employment Accelerator. 378 00:23:14,796 --> 00:23:19,996 Speaker 1: She accesses her RUBY through her mobile phone and came 379 00:23:20,036 --> 00:23:24,796 Speaker 1: in by all our assessments a really high potential individual. 380 00:23:25,156 --> 00:23:29,236 Speaker 1: She just was off the charts in her psychometric profile 381 00:23:29,556 --> 00:23:32,276 Speaker 1: for the world of work and in her learning potential 382 00:23:32,276 --> 00:23:36,516 Speaker 1: and ability to learn quickly. So she was successful in 383 00:23:36,676 --> 00:23:40,836 Speaker 1: accessing a two month bridging program which prepare her for 384 00:23:40,956 --> 00:23:44,196 Speaker 1: a care center job at a premier health insurer in 385 00:23:44,236 --> 00:23:49,476 Speaker 1: South Africa. And one of the days on the training program, 386 00:23:49,596 --> 00:23:52,116 Speaker 1: she was late. And it's a real kind of issue 387 00:23:52,116 --> 00:23:54,236 Speaker 1: on the training program to be late, because punctiality is 388 00:23:54,236 --> 00:23:56,076 Speaker 1: one of the most important and valued issues on the 389 00:23:56,076 --> 00:23:59,156 Speaker 1: training program, and she was like ten minutes late, and 390 00:23:59,196 --> 00:24:01,596 Speaker 1: it turned out that she had been mugged on the 391 00:24:01,636 --> 00:24:05,716 Speaker 1: way to the program, had everything stolen from her. She 392 00:24:05,836 --> 00:24:09,116 Speaker 1: was very anxious about her child, and the whole situation 393 00:24:09,196 --> 00:24:11,316 Speaker 1: been really terrible. She was most concerned that she was 394 00:24:11,356 --> 00:24:13,996 Speaker 1: ten minutes late for the program because she just saw 395 00:24:14,036 --> 00:24:17,956 Speaker 1: this as her ticket and her chance to shift the 396 00:24:17,996 --> 00:24:20,396 Speaker 1: trajectory of her life and that of her child. She 397 00:24:20,476 --> 00:24:24,356 Speaker 1: stayed on the program, and Stall a few years later 398 00:24:24,756 --> 00:24:27,796 Speaker 1: successfully landed and has kept her job at She's now 399 00:24:27,836 --> 00:24:31,436 Speaker 1: actually been promoted in this job at this insurance company. 400 00:24:32,196 --> 00:24:34,076 Speaker 1: One of the things that Cindy talks about, which I 401 00:24:34,116 --> 00:24:38,956 Speaker 1: find most powerful, is the transformation that landing this what 402 00:24:39,076 --> 00:24:41,436 Speaker 1: by many people in the global norse might seem like 403 00:24:41,756 --> 00:24:44,836 Speaker 1: not a fantastic job, but in her world, is a 404 00:24:44,836 --> 00:24:49,716 Speaker 1: completely transformative job. It's stable income. It means that the 405 00:24:50,196 --> 00:24:53,396 Speaker 1: cash flows in the family can be relied on. It 406 00:24:53,436 --> 00:24:55,996 Speaker 1: means that her daughter is nine daycare and in an 407 00:24:55,996 --> 00:24:59,516 Speaker 1: early learning program. It means that the food that the 408 00:24:59,516 --> 00:25:04,356 Speaker 1: family's eating is more nutritious and more regular. And she 409 00:25:04,476 --> 00:25:08,676 Speaker 1: has chosen not to leave her family and leave her community, 410 00:25:08,676 --> 00:25:10,916 Speaker 1: but rather stay there and be a role model to 411 00:25:10,956 --> 00:25:14,156 Speaker 1: other girls in her community about the progress that they 412 00:25:14,196 --> 00:25:20,076 Speaker 1: can make. And she is an outstanding example of the 413 00:25:20,156 --> 00:25:22,876 Speaker 1: five hundred thousand, but she is just an example because 414 00:25:23,076 --> 00:25:26,396 Speaker 1: we have Cindies throughout our network. How does one go 415 00:25:26,436 --> 00:25:29,036 Speaker 1: about funding a program like this? It must be very expensive. 416 00:25:29,756 --> 00:25:31,556 Speaker 1: So one of the reasons her Rumby has been so 417 00:25:31,596 --> 00:25:34,076 Speaker 1: successful and has scaled as much as it has is 418 00:25:34,116 --> 00:25:41,076 Speaker 1: because it is fundamentally built on a partnership between different employers, government, 419 00:25:41,396 --> 00:25:46,236 Speaker 1: private sector, donors, and global aid organizations all working together, 420 00:25:46,876 --> 00:25:50,836 Speaker 1: and everybody is contributing their peace. You know, employers are 421 00:25:50,876 --> 00:25:55,596 Speaker 1: paying fees to recruit to young people, the government is 422 00:25:56,156 --> 00:25:59,396 Speaker 1: able to subsidize the process of scaling the services for 423 00:25:59,436 --> 00:26:03,516 Speaker 1: young people, and donors and private sector as well are 424 00:26:03,556 --> 00:26:06,436 Speaker 1: able to contribute to the innovations and developing some of 425 00:26:06,436 --> 00:26:09,436 Speaker 1: the solutions that are needed to be scaled. And I 426 00:26:09,476 --> 00:26:11,916 Speaker 1: think that it's it's in that magic mix that we've 427 00:26:11,956 --> 00:26:15,476 Speaker 1: been able to create something that can not just scale 428 00:26:15,516 --> 00:26:19,036 Speaker 1: but also endear. So for people listening, people who are 429 00:26:19,116 --> 00:26:24,316 Speaker 1: concerned about global unemployment, maybe in your community, maybe in 430 00:26:24,356 --> 00:26:27,676 Speaker 1: their own communities, what can they do? What can an 431 00:26:27,716 --> 00:26:30,676 Speaker 1: individual do to help and effort like yours? Well, I mean, 432 00:26:30,716 --> 00:26:34,716 Speaker 1: I think advocacy with employers is really important because employers 433 00:26:34,836 --> 00:26:39,316 Speaker 1: are a key piece of the puzzle and are using 434 00:26:39,556 --> 00:26:45,276 Speaker 1: very exclusionary tools to assess young people and their potential 435 00:26:46,076 --> 00:26:50,556 Speaker 1: and are stuck in quite traditional ways of recruiting and 436 00:26:51,316 --> 00:26:55,156 Speaker 1: managing human capital. And I think we need a breakthrough 437 00:26:55,356 --> 00:26:57,956 Speaker 1: in the way employers behave and a much more inclusive 438 00:26:57,956 --> 00:27:01,276 Speaker 1: approach to hiring. So anybody who's in a position to 439 00:27:01,316 --> 00:27:04,476 Speaker 1: be a great advocate for that within business, I think 440 00:27:04,556 --> 00:27:08,156 Speaker 1: would be a tremendous asset to this process. I think 441 00:27:08,156 --> 00:27:11,196 Speaker 1: the second thing is is that governments need to think 442 00:27:11,276 --> 00:27:17,036 Speaker 1: differently about human capital and about the deployment of government 443 00:27:17,116 --> 00:27:21,596 Speaker 1: resources in ways that unlock the potential of young people, 444 00:27:21,956 --> 00:27:26,156 Speaker 1: rather than just fund legacy education, training and higher education 445 00:27:26,236 --> 00:27:32,396 Speaker 1: institutions that may actually sort of be barriers to young 446 00:27:32,476 --> 00:27:36,596 Speaker 1: people growing their human capital and participating in the economy. 447 00:27:37,796 --> 00:27:40,516 Speaker 1: So people who can exercise influence in those worlds, and 448 00:27:40,556 --> 00:27:43,796 Speaker 1: I think that's a great area of advocacy. And then 449 00:27:43,836 --> 00:27:46,476 Speaker 1: of course it's just people working with young people or 450 00:27:46,516 --> 00:27:51,596 Speaker 1: people who are young people gaining the confidence and a 451 00:27:51,716 --> 00:27:56,436 Speaker 1: new sense of self which is not blinkered by all 452 00:27:56,476 --> 00:28:00,716 Speaker 1: the traditional ways of measuring their value and their readiness 453 00:28:01,356 --> 00:28:04,636 Speaker 1: to contribute to community, to society and to the economy. 454 00:28:04,956 --> 00:28:08,116 Speaker 1: And I think awakening young people to what they are 455 00:28:08,156 --> 00:28:11,596 Speaker 1: capable of, what value they bring and how they can 456 00:28:11,636 --> 00:28:14,556 Speaker 1: be contributed. Any young people who can lead other young 457 00:28:14,636 --> 00:28:17,036 Speaker 1: people in feeling and believing that, I think will be 458 00:28:17,076 --> 00:28:20,996 Speaker 1: a tremendous essage. Nikola Glambic does not mince her words. 459 00:28:21,516 --> 00:28:24,796 Speaker 1: Scaling up the work of Harambe and ensuring South Africa's 460 00:28:24,836 --> 00:28:27,596 Speaker 1: have the right to dignified work. That will take a 461 00:28:27,596 --> 00:28:31,236 Speaker 1: lot of changes. Employers need to change, the government needs 462 00:28:31,236 --> 00:28:34,916 Speaker 1: to value human capital in different and better way, and 463 00:28:35,076 --> 00:28:38,636 Speaker 1: young people need to understand what they're capable of and 464 00:28:39,116 --> 00:28:43,076 Speaker 1: just how important they are. Also the functionality thing. Yikes, 465 00:28:43,636 --> 00:28:46,796 Speaker 1: poor Cindy. I'm so glad to hear she's doing well today. 466 00:28:47,516 --> 00:28:52,356 Speaker 1: There is huge potential and a huge need for Nicola 467 00:28:52,436 --> 00:28:57,916 Speaker 1: and Harambi's model to spread. The International Labor Organization says 468 00:28:58,236 --> 00:29:02,916 Speaker 1: that in twenty eighteen, youth unemployment globally it was three 469 00:29:02,956 --> 00:29:07,316 Speaker 1: times the rate of adult unemployment. So it's regarded as 470 00:29:07,356 --> 00:29:11,796 Speaker 1: a global crisis and Harambi as a solvable well it 471 00:29:11,916 --> 00:29:16,796 Speaker 1: could be used all over the world. Solvable is a 472 00:29:16,836 --> 00:29:21,356 Speaker 1: collaboration between Pushkin Industries and the Rockefella Foundation, with production 473 00:29:21,476 --> 00:29:25,476 Speaker 1: by Laura Hyde, Hester Kant, Laura Sheeter, and Ruth Barnes 474 00:29:25,556 --> 00:29:29,356 Speaker 1: from Chalk and Blade. Pushkin's executive producer is Neia LaBelle, 475 00:29:29,756 --> 00:29:33,956 Speaker 1: Research by Sheer, Vincent, engineering by Jason Gambrell and the 476 00:29:33,996 --> 00:29:38,796 Speaker 1: great Folks at GSI Studios. Original music composed by Pascal 477 00:29:38,836 --> 00:29:43,276 Speaker 1: Wise and special thanks to Maggie Taylor, Heather Fine, Julia Barton, 478 00:29:43,676 --> 00:29:47,836 Speaker 1: Carli mcgliori, Jacob Weisberg, and Malcolm Gladwell. You can learn 479 00:29:47,876 --> 00:29:52,836 Speaker 1: more about solving today's biggest problems at Rockefella Foundation dot org, 480 00:29:53,076 --> 00:30:09,476 Speaker 1: slash Solvable, I'm Mave Higgins now ghost Solve It. Try 481 00:30:09,516 --> 00:30:09,636 Speaker 1: to be