1 00:00:01,015 --> 00:00:04,097 This story starts with these two -- 2 00:00:04,097 --> 00:00:05,123 my kids. 3 00:00:05,314 --> 00:00:07,020 We were hiking in the Oakland woods 4 00:00:07,020 --> 00:00:11,154 when my daughter noticed a plastic tub of cat litter in a creek. 5 00:00:11,647 --> 00:00:13,333 She looked at me and said, 6 00:00:13,333 --> 00:00:15,976 "Daddy ... 7 00:00:15,976 --> 00:00:17,538 that doesn't go there." 8 00:00:17,538 --> 00:00:18,538 When she said that, 9 00:00:18,538 --> 00:00:20,024 it reminded me of summer camp. 10 00:00:20,024 --> 00:00:21,505 On the morning of visiting day, 11 00:00:21,505 --> 00:00:25,117 right before they'd let our anxious parents come barreling through the gates, 12 00:00:25,117 --> 00:00:26,471 our camp director would say, 13 00:00:26,471 --> 00:00:28,858 "Quick! Everyone go pick up five pieces of litter." 14 00:00:29,013 --> 00:00:32,130 You get a couple hundred kids each picking up five pieces, 15 00:00:32,130 --> 00:00:34,738 and pretty soon you've got a much cleaner camp. 16 00:00:34,738 --> 00:00:35,790 So I thought, 17 00:00:35,790 --> 00:00:40,143 why not apply that crowdsourced cleanup model to the entire planet? 18 00:00:40,350 --> 00:00:43,133 And that was the inspiration for Litterati. 19 00:00:43,434 --> 00:00:46,509 The vision is to create a litter-free world. 20 00:00:46,806 --> 00:00:48,321 Let me show you how it started. 21 00:00:48,321 --> 00:00:51,707 I took a picture of a cigarette using Instagram. 22 00:00:52,302 --> 00:00:54,295 Then I took another photo ... 23 00:00:54,295 --> 00:00:55,919 and another photo ... 24 00:00:55,919 --> 00:00:56,993 and another photo ... 25 00:00:56,993 --> 00:00:58,242 and I noticed two things. 26 00:00:58,242 --> 00:01:02,049 One: litter became artistic and approachable. 27 00:01:02,350 --> 00:01:03,347 And two: 28 00:01:03,347 --> 00:01:04,554 at the end of a few days, 29 00:01:04,554 --> 00:01:05,860 I had 50 photos on my phone 30 00:01:05,860 --> 00:01:07,569 and I had picked up each piece, 31 00:01:07,569 --> 00:01:09,978 and I realized that I was keeping a record 32 00:01:09,978 --> 00:01:13,217 of the positive impact I was having on the planet. 33 00:01:13,217 --> 00:01:15,166 That's 50 less things that you might see, 34 00:01:15,166 --> 00:01:16,460 or you might step on, 35 00:01:16,460 --> 00:01:18,507 or some bird might eat. 36 00:01:18,769 --> 00:01:21,556 So I started telling people what I was doing, 37 00:01:21,556 --> 00:01:24,159 and they started participating. 38 00:01:24,967 --> 00:01:26,960 One day, 39 00:01:26,960 --> 00:01:30,295 this photo showed up from China, 40 00:01:30,295 --> 00:01:34,928 and that's when I realized that Litterati was more than just pretty pictures; 41 00:01:34,928 --> 00:01:38,441 we were becoming a community that was collecting data. 42 00:01:38,917 --> 00:01:40,807 Each photo tells a story. 43 00:01:41,447 --> 00:01:43,663 It tells us who picked up what, 44 00:01:43,663 --> 00:01:45,785 a geotag tells us where 45 00:01:45,785 --> 00:01:47,869 and a [time stamp] tells us when. 46 00:01:48,062 --> 00:01:50,714 So I built a Google map, 47 00:01:50,714 --> 00:01:54,680 and started plotting the points where pieces were being picked up. 48 00:01:54,680 --> 00:01:56,375 And through that process, 49 00:01:56,375 --> 00:01:58,657 the community grew, 50 00:01:58,657 --> 00:02:00,296 and the data grew. 51 00:02:00,854 --> 00:02:04,463 My two kids go to school right in that bullseye. 52 00:02:05,125 --> 00:02:06,424 Litter. 53 00:02:06,424 --> 00:02:08,675 It's blending into the background of our lives, 54 00:02:08,675 --> 00:02:11,120 but what if we brought it to the forefront? 55 00:02:11,360 --> 00:02:14,295 What if we understood exactly what was on our streets, 56 00:02:14,295 --> 00:02:15,631 our sidewalks 57 00:02:15,631 --> 00:02:17,160 and our schoolyards? 58 00:02:17,160 --> 00:02:20,369 How might we use that data to make a difference? 59 00:02:21,276 --> 00:02:22,497 Well, let me show you. 60 00:02:22,497 --> 00:02:23,882 The first is with cities. 61 00:02:24,577 --> 00:02:29,207 San Francisco wanted to understand what percentage of litter was cigarettes. 62 00:02:29,207 --> 00:02:30,361 Why? 63 00:02:30,361 --> 00:02:31,786 To create a tax. 64 00:02:32,098 --> 00:02:35,554 So they put a couple of people in the streets with pencils and clipboards 65 00:02:35,554 --> 00:02:37,919 who walked around collecting information 66 00:02:37,919 --> 00:02:41,030 which led to a 20-cent tax on all cigarette sales. 67 00:02:41,899 --> 00:02:44,075 And then they got sued ... 68 00:02:44,075 --> 00:02:45,182 by big tobacco, 69 00:02:45,182 --> 00:02:48,321 who claimed that collecting information with pencils and clipboards 70 00:02:48,321 --> 00:02:51,166 is neither precise nor provable. 71 00:02:51,629 --> 00:02:55,332 The city called me and asked if our technology could help ... 72 00:02:55,332 --> 00:02:59,059 not sure they realized that our technology was my Instagram account -- 73 00:02:59,059 --> 00:03:00,059 (Laughter) 74 00:03:00,059 --> 00:03:01,554 But I said, "Yes we can." 75 00:03:01,554 --> 00:03:02,550 (Laughter) 76 00:03:02,550 --> 00:03:06,109 And we can tell you if that's a Parliament or a Pall Mall. 77 00:03:06,109 --> 00:03:09,673 Plus, every photograph is geotagged and [time stamped], 78 00:03:09,673 --> 00:03:11,385 providing you with proof. 79 00:03:11,839 --> 00:03:15,314 Four days and 5,000 pieces later, 80 00:03:15,314 --> 00:03:20,275 our data was used in court to not only defend but double the tax, 81 00:03:20,275 --> 00:03:24,621 generating an annual recurring revenue of four million dollars 82 00:03:24,621 --> 00:03:26,916 for San Francisco to clean itself up. 83 00:03:28,014 --> 00:03:30,168 Now, during that process I learned two things. 84 00:03:30,168 --> 00:03:33,039 One: Instagram is not the right tool -- 85 00:03:33,039 --> 00:03:34,044 (Laughter) 86 00:03:34,044 --> 00:03:35,420 so we built an app. 87 00:03:35,420 --> 00:03:36,422 And two: 88 00:03:36,422 --> 00:03:37,487 if you think about it, 89 00:03:37,487 --> 00:03:40,941 every city in the world has a unique litter fingerprint, 90 00:03:40,941 --> 00:03:44,800 and that fingerprint provides both the source of the problem 91 00:03:44,800 --> 00:03:46,987 and the path to the solution. 92 00:03:47,646 --> 00:03:50,048 If you could generate a revenue stream 93 00:03:50,048 --> 00:03:52,454 just by understanding the percentage of cigarettes, 94 00:03:52,454 --> 00:03:54,953 well, what about coffee cups ... 95 00:03:54,953 --> 00:03:56,682 or soda cans ... 96 00:03:56,682 --> 00:03:58,357 or plastic bottles? 97 00:03:58,501 --> 00:04:00,367 If you could fingerprint San Francisco, 98 00:04:00,367 --> 00:04:02,022 well, how about Oakland ... 99 00:04:02,022 --> 00:04:03,542 or Amsterdam ... 100 00:04:03,542 --> 00:04:07,092 or somewhere much closer to home? 101 00:04:07,408 --> 00:04:08,891 And what about brands? 102 00:04:08,891 --> 00:04:10,815 How might they use this data 103 00:04:10,815 --> 00:04:15,027 to align their environmental and economic interests? 104 00:04:15,734 --> 00:04:19,043 There's a block in downtown Oakland that's covered in blight. 105 00:04:19,421 --> 00:04:23,525 The Litterati community got together and picked up 1500 pieces. 106 00:04:23,939 --> 00:04:25,353 And here's what we learned. 107 00:04:25,353 --> 00:04:28,405 Most of that litter came from a very well know taco brand. 108 00:04:29,810 --> 00:04:34,605 Most of that brand's litter were their own hot sauce packets, 109 00:04:34,605 --> 00:04:39,021 and most of those hot sauce packets hadn't even been opened. 110 00:04:40,132 --> 00:04:42,870 The problem and the path to the solution -- 111 00:04:42,870 --> 00:04:46,992 well, maybe that brand only gives out hot sauce upon request, 112 00:04:46,992 --> 00:04:49,024 or installs bulk dispensers, 113 00:04:49,024 --> 00:04:51,441 or comes up with more sustainable packaging. 114 00:04:51,441 --> 00:04:54,433 How does a brand take an environmental hazard, 115 00:04:54,433 --> 00:04:56,462 turn it into an economic engine, 116 00:04:56,462 --> 00:04:59,015 and become an industry hero? 117 00:04:59,475 --> 00:05:01,606 If you really want to create change, 118 00:05:01,606 --> 00:05:04,222 there's no better place to start than with our kids. 119 00:05:04,558 --> 00:05:07,907 A group of fifth graders picked up 1247 pieces of litter 120 00:05:07,907 --> 00:05:09,778 just in their schoolyard. 121 00:05:09,778 --> 00:05:12,333 And they learned that the most common type of litter 122 00:05:12,333 --> 00:05:15,567 were the plastic straw wrappers from their own cafeteria. 123 00:05:16,090 --> 00:05:18,642 So these kids went to their principal and asked, 124 00:05:18,642 --> 00:05:20,890 "Why are we still buying straws?" 125 00:05:21,286 --> 00:05:22,824 And they stopped. 126 00:05:23,064 --> 00:05:26,664 And they learned that individually they could each make a difference, 127 00:05:26,664 --> 00:05:29,389 but together they created an impact. 128 00:05:29,702 --> 00:05:33,626 It doesn't matter if you're a student or a scientist, 129 00:05:33,626 --> 00:05:36,881 whether you live in Honolulu or Hanoi, 130 00:05:36,881 --> 00:05:39,634 this is a community for everyone. 131 00:05:39,974 --> 00:05:44,792 It started because of two little kids in the Northern California woods, 132 00:05:44,792 --> 00:05:47,606 and today it's spread across the world. 133 00:05:48,026 --> 00:05:49,797 And you know how we're getting there? 134 00:05:50,179 --> 00:05:52,211 One piece at a time. 135 00:05:52,556 --> 00:05:53,794 Thank you. 136 00:05:53,794 --> 00:05:55,367 (Applause)