1 00:00:01,261 --> 00:00:04,374 When Hurricane Maria hit Puerto Rico in 2017, 2 00:00:04,398 --> 00:00:07,471 we all watched as a disaster played out on our screens. 3 00:00:07,495 --> 00:00:10,112 At least 160,000 people were displaced, 4 00:00:10,136 --> 00:00:12,211 and nearly 3,000 people died. 5 00:00:12,235 --> 00:00:14,707 Electricity was cut off to the entire island, 6 00:00:14,731 --> 00:00:17,896 and some neighborhoods didn't get power back for 11 months. 7 00:00:18,326 --> 00:00:20,838 Many of those watching didn't know how to help. 8 00:00:21,599 --> 00:00:23,879 Some donated to international NGOs. 9 00:00:23,903 --> 00:00:26,072 Some lobbied their elected officials. 10 00:00:26,096 --> 00:00:27,664 But as with so many crises, 11 00:00:27,688 --> 00:00:30,449 so many of us simply gave in and felt helpless. 12 00:00:30,838 --> 00:00:32,815 At the Humanitarian OpenStreetMap team, 13 00:00:32,839 --> 00:00:34,252 also known as HOT, 14 00:00:34,276 --> 00:00:35,728 we did something different. 15 00:00:35,752 --> 00:00:38,641 We mobilized 6,000 volunteers across the world 16 00:00:38,665 --> 00:00:41,859 who mapped every home and every road in Puerto Rico. 17 00:00:41,883 --> 00:00:45,396 And here you can see the maps those volunteers made taking shape. 18 00:00:45,420 --> 00:00:49,040 Responders then used those maps to assess the state of buildings and roads 19 00:00:49,064 --> 00:00:52,649 and to provide emergency funds, WiFi and phone-charging points 20 00:00:52,673 --> 00:00:54,701 to people whose homes were damaged. 21 00:00:55,240 --> 00:00:56,393 All crises, 22 00:00:56,417 --> 00:00:59,501 including the COVID-19 pandemic we're living through right now, 23 00:00:59,525 --> 00:01:01,447 have devastating characteristics. 24 00:01:02,038 --> 00:01:04,518 But many of them have one thing in common: 25 00:01:04,542 --> 00:01:08,176 the people hit the hardest are often literally not on the map. 26 00:01:08,519 --> 00:01:12,755 Right now, more than one billion people live in places that are not mapped. 27 00:01:13,246 --> 00:01:15,042 If you look those places up online, 28 00:01:15,066 --> 00:01:16,943 you'll see nothing but a blank. 29 00:01:16,967 --> 00:01:20,256 And that blank isn't just a huge statement of disrespect 30 00:01:20,280 --> 00:01:22,239 to our fellow human beings, 31 00:01:22,263 --> 00:01:23,896 it's an injustice, 32 00:01:23,920 --> 00:01:28,424 causing very direct, very real and very avoidable human suffering. 33 00:01:28,448 --> 00:01:32,007 So what does not being on the digital map actually look like? 34 00:01:32,515 --> 00:01:34,488 I live in Peru, and a few months ago, 35 00:01:34,512 --> 00:01:37,210 some community health workers asked us to help them map. 36 00:01:37,234 --> 00:01:39,220 Obviously, where they were wasn't mapped, 37 00:01:39,244 --> 00:01:42,012 so to get there, we asked a local mayor to draw the route. 38 00:01:42,036 --> 00:01:43,351 This is what he drew. 39 00:01:43,375 --> 00:01:45,666 This piece of paper was hard to follow. (Laughs) 40 00:01:45,690 --> 00:01:47,761 We didn't really know what these lines were. 41 00:01:47,785 --> 00:01:50,899 He put some numbers on there that he assured us were travel times, 42 00:01:50,923 --> 00:01:52,321 but as we were driving along, 43 00:01:52,345 --> 00:01:54,453 these did not correspond to our reality. 44 00:01:54,477 --> 00:01:56,986 But this isn't about me getting lost 45 00:01:57,010 --> 00:01:59,252 or about shaming someone's bad drawing skills. 46 00:01:59,673 --> 00:02:01,794 Think how inefficient it is to manage a team 47 00:02:01,818 --> 00:02:03,369 who need to work in this place 48 00:02:03,393 --> 00:02:05,801 without a map to tell them where they need to go. 49 00:02:06,214 --> 00:02:08,166 Then, once they're in the right village, 50 00:02:08,190 --> 00:02:11,161 how can they collect some data and associate it to that place? 51 00:02:11,185 --> 00:02:14,598 Those community health workers know that needs in this region are high, 52 00:02:14,622 --> 00:02:17,091 particularly anemia and malnutrition among children. 53 00:02:17,115 --> 00:02:19,290 They just don't know where those children are, 54 00:02:19,314 --> 00:02:20,871 or what is causing that problem. 55 00:02:20,895 --> 00:02:24,033 They want to be able to locate the home of every child under five, 56 00:02:24,057 --> 00:02:26,106 but how can they do that without a map? 57 00:02:26,130 --> 00:02:28,733 After a brief training, we went out to make a map, 58 00:02:28,757 --> 00:02:31,476 and this is what those community health workers produced. 59 00:02:31,873 --> 00:02:33,985 This map has everything you need to navigate, 60 00:02:34,009 --> 00:02:35,408 like the rivers and bridges, 61 00:02:35,432 --> 00:02:39,253 but it also has every local landmark, the school, the football pitch, the plaza. 62 00:02:39,277 --> 00:02:41,350 And I'm pleased to say that a few weeks ago, 63 00:02:41,374 --> 00:02:43,732 we got a call from those community health workers, 64 00:02:43,756 --> 00:02:46,863 and they're using this map in their response containing COVID-19. 65 00:02:47,593 --> 00:02:48,953 So you might be thinking: 66 00:02:48,977 --> 00:02:51,247 Why aren't these places on commercial maps? 67 00:02:51,866 --> 00:02:54,762 In short, mapping the most vulnerable places in our world 68 00:02:54,786 --> 00:02:57,384 just hasn't been a priority for for-profit companies, 69 00:02:57,408 --> 00:03:01,255 whose business models typically rely on advertising and data sales. 70 00:03:01,789 --> 00:03:03,699 This leaves out the poorest communities 71 00:03:03,723 --> 00:03:06,350 and means that individual aid organizations create maps 72 00:03:06,374 --> 00:03:08,447 for the small areas that they're working in 73 00:03:08,471 --> 00:03:13,247 in offline systems which rapidly become out-of-date when a project ends. 74 00:03:13,271 --> 00:03:15,932 So what we have here is a lack of easily shareable 75 00:03:15,956 --> 00:03:17,710 and easily updatable data. 76 00:03:18,139 --> 00:03:19,738 But we also have a solution. 77 00:03:20,158 --> 00:03:22,224 We map with a tool called OpenStreetMap, 78 00:03:22,248 --> 00:03:24,013 which was founded in 2006 79 00:03:24,037 --> 00:03:27,522 and is a free, open-source tool which anyone can use to map the world. 80 00:03:27,998 --> 00:03:31,080 Just as anyone can read or edit an article on Wikipedia, 81 00:03:31,104 --> 00:03:33,415 anyone can use or edit the map in OpenStreetMap, 82 00:03:33,439 --> 00:03:35,224 and the resulting map is public good, 83 00:03:35,248 --> 00:03:36,850 free and open for anyone to use, 84 00:03:36,874 --> 00:03:39,144 creating one map for all of us. 85 00:03:39,168 --> 00:03:41,006 It works in two phases. 86 00:03:41,847 --> 00:03:44,125 Buildings and roads might not be on the map yet, 87 00:03:44,149 --> 00:03:46,588 but you can see them clearly in satellite imagery. 88 00:03:46,612 --> 00:03:50,321 Volunteers working anywhere in the world turn satellite images into maps 89 00:03:50,345 --> 00:03:52,227 through drawing the buildings and roads 90 00:03:52,251 --> 00:03:53,402 on top of them. 91 00:03:53,426 --> 00:03:54,687 We call this a base map. 92 00:03:55,354 --> 00:03:57,380 On average, each time a volunteer logs in, 93 00:03:57,404 --> 00:03:59,966 they map an area less than 10 kilometers squared, 94 00:03:59,990 --> 00:04:01,961 but add all those contributions together, 95 00:04:01,985 --> 00:04:04,914 and you can map entire cities in just a couple of days. 96 00:04:05,936 --> 00:04:08,028 And second, local mapping. 97 00:04:08,447 --> 00:04:10,981 People living and working in the places we're mapping 98 00:04:11,005 --> 00:04:12,897 take that base map and color it in, 99 00:04:12,921 --> 00:04:16,725 for example, identifying: Is this building a school or a hospital? 100 00:04:17,125 --> 00:04:20,153 Those people add information you can't see in a satellite image. 101 00:04:20,177 --> 00:04:22,008 We found people able and eager to map 102 00:04:22,032 --> 00:04:24,405 in even the most challenging situations worldwide, 103 00:04:24,429 --> 00:04:26,897 and we've optimized the tools to work on smartphones 104 00:04:26,921 --> 00:04:28,807 costing as little as 30 dollars. 105 00:04:28,831 --> 00:04:30,722 Additionally, the tools work offline, 106 00:04:30,746 --> 00:04:34,377 so people without regular access to cell service can still contribute, 107 00:04:34,401 --> 00:04:37,261 adding things to the map as they go about their daily lives, 108 00:04:37,285 --> 00:04:40,526 and then uploading when they get access to cell service or WiFi. 109 00:04:41,021 --> 00:04:44,561 In 10 years, we've seen people from all walks of life take part. 110 00:04:45,022 --> 00:04:47,221 Refugees have mapped broken water points. 111 00:04:47,245 --> 00:04:50,743 Rural women have added place names in Indigenous languages. 112 00:04:50,767 --> 00:04:53,779 And, in doing so, people become active agents of change 113 00:04:53,803 --> 00:04:55,461 in their communities. 114 00:04:55,485 --> 00:05:00,161 Since 2010, HOT has engaged over 200,000 volunteers 115 00:05:00,185 --> 00:05:03,175 who have mapped an area home to more than 150 million people 116 00:05:03,199 --> 00:05:04,380 in OpenStreetMap. 117 00:05:04,404 --> 00:05:07,138 Those maps have been used by search and rescue operations 118 00:05:07,162 --> 00:05:09,861 to free hundreds of people trapped in collapsed buildings 119 00:05:09,885 --> 00:05:11,686 after the 2010 Haiti earthquake. 120 00:05:11,710 --> 00:05:14,599 They've been used to provide polio vaccinations to children 121 00:05:14,623 --> 00:05:16,213 across all of rural Nigeria. 122 00:05:16,237 --> 00:05:19,256 And they've mapped the camps, routes and new homes 123 00:05:19,280 --> 00:05:24,258 of more than eight million refugees fleeing South Sudan, Syria and Venezuela. 124 00:05:24,282 --> 00:05:27,304 We work with the biggest humanitarian organizations in the world 125 00:05:27,328 --> 00:05:29,261 to make sure these maps have impact -- 126 00:05:29,285 --> 00:05:32,675 the Red Cross, Médecins Sans Frontières, UNICEF to name a few -- 127 00:05:32,699 --> 00:05:35,316 and we currently have a queue of more than 2,000 places 128 00:05:35,340 --> 00:05:36,675 needing to be mapped. 129 00:05:36,699 --> 00:05:39,419 So that's the story so far. 130 00:05:39,443 --> 00:05:42,097 But wouldn't it be great if these places were on the map 131 00:05:42,121 --> 00:05:43,439 before they were in crisis? 132 00:05:43,463 --> 00:05:45,252 Now we're ready for a step change. 133 00:05:45,796 --> 00:05:47,174 Over the past few years, 134 00:05:47,198 --> 00:05:50,856 we've gained access to global, regularly updated satellite imagery. 135 00:05:50,880 --> 00:05:53,255 Machine learning and AI are helping human mappers 136 00:05:53,279 --> 00:05:54,587 to work more efficiently. 137 00:05:54,942 --> 00:05:58,088 And worldwide, more and more people are willing and able 138 00:05:58,112 --> 00:05:59,707 to map their communities. 139 00:06:00,120 --> 00:06:01,600 Over the next five years, 140 00:06:01,624 --> 00:06:04,988 we'll engage one million volunteers who will map an area 141 00:06:05,012 --> 00:06:07,866 home to the one billion most vulnerable people 142 00:06:07,890 --> 00:06:09,660 across 94 countries. 143 00:06:10,026 --> 00:06:11,191 To achieve this, 144 00:06:11,215 --> 00:06:12,923 we need to do three things. 145 00:06:13,701 --> 00:06:16,996 First, we need to grow our community to one million mappers, 146 00:06:17,020 --> 00:06:20,612 who will build a world where everyone everywhere is represented. 147 00:06:21,049 --> 00:06:22,940 We'll set up a network of regional hubs 148 00:06:22,964 --> 00:06:25,245 to train and support those volunteers 149 00:06:25,269 --> 00:06:28,208 to map the vulnerable places in their own countries. 150 00:06:28,232 --> 00:06:30,921 Second, we need to invest in technology. 151 00:06:30,945 --> 00:06:34,316 Right now, you can add something like a building or a local landmark 152 00:06:34,340 --> 00:06:36,090 to the map in just a few seconds, 153 00:06:36,114 --> 00:06:37,365 but learning to map 154 00:06:37,389 --> 00:06:39,577 and mapping easily and quickly on a mobile 155 00:06:39,601 --> 00:06:40,784 can be a problem. 156 00:06:41,286 --> 00:06:43,155 We need to invest in technologies 157 00:06:43,179 --> 00:06:46,799 to make mobile edits to the map possible at a massive scale. 158 00:06:47,341 --> 00:06:49,842 And third, we need to raise awareness. 159 00:06:49,866 --> 00:06:52,216 Aid projects across the world need to know 160 00:06:52,240 --> 00:06:55,137 that these maps are free and available for them to use 161 00:06:55,161 --> 00:06:58,724 and that they can request maps for the areas that they're working in. 162 00:06:58,748 --> 00:07:01,962 For me, this is one of the most wonderful things about this project. 163 00:07:01,986 --> 00:07:04,837 It isn't really about HOT or any single organization. 164 00:07:04,861 --> 00:07:06,441 It's about creating a foundation 165 00:07:06,465 --> 00:07:09,555 on which so many organizations will thrive. 166 00:07:09,992 --> 00:07:11,262 Whatever we do, 167 00:07:11,286 --> 00:07:14,091 disasters and crises will still happen, 168 00:07:14,115 --> 00:07:17,001 and humanitarians will still respond to them. 169 00:07:17,413 --> 00:07:19,344 Development programs will continue, 170 00:07:19,368 --> 00:07:21,782 but without maps, they'll lack critical information 171 00:07:21,806 --> 00:07:24,636 about what to expect in the community before they get there. 172 00:07:24,660 --> 00:07:27,406 With open, free, up-to-date maps, 173 00:07:27,430 --> 00:07:30,544 those programs will have more impact than they would do otherwise, 174 00:07:30,568 --> 00:07:34,328 leading to a meaningful difference in lives saved or improved. 175 00:07:35,279 --> 00:07:38,169 But it's so much more than that. 176 00:07:38,704 --> 00:07:43,683 It's 2020, and one billion people in our world are not visible. 177 00:07:44,209 --> 00:07:45,533 That's wrong. 178 00:07:45,940 --> 00:07:48,783 This is a tool through which every citizen of Planet Earth 179 00:07:48,807 --> 00:07:50,679 can become known and seen, 180 00:07:50,703 --> 00:07:52,803 to literally be put on the map. 181 00:07:53,263 --> 00:07:55,786 My peers complain about being too overconnected, 182 00:07:55,810 --> 00:07:58,448 so how can it be possible for more than a billion people 183 00:07:58,472 --> 00:07:59,723 to remain invisible? 184 00:07:59,747 --> 00:08:02,622 Luckily, this is a problem even the laziest among us 185 00:08:02,646 --> 00:08:04,085 can help to solve. 186 00:08:04,109 --> 00:08:06,477 If you can swipe left or right, 187 00:08:06,501 --> 00:08:07,671 you can help. 188 00:08:08,235 --> 00:08:09,416 Map this morning 189 00:08:09,440 --> 00:08:12,454 and influence life-changing decisions this afternoon. 190 00:08:12,478 --> 00:08:16,731 Frontline health workers and humanitarians are literally waiting for you. 191 00:08:17,155 --> 00:08:18,373 Thank you.