WEBVTT 00:00:00.620 --> 00:00:02.395 When we think about mapping cities, 00:00:02.395 --> 00:00:05.200 we tend to think about roads and streets and buildings, 00:00:05.200 --> 00:00:08.000 and the settlement narrative that led to their creation, 00:00:08.000 --> 00:00:10.984 or you might think about the bold vision of an urban designer, 00:00:10.984 --> 00:00:13.487 but there's other ways to think about mapping cities 00:00:13.487 --> 00:00:15.653 and how they got to be made. 00:00:15.653 --> 00:00:17.746 Today, I want to show you a new kind of map. 00:00:17.746 --> 00:00:19.242 This is not a geographic map. 00:00:19.242 --> 00:00:22.373 This is a map of the relationships between people in my hometown 00:00:22.373 --> 00:00:23.713 of Baltimore, Maryland, 00:00:23.713 --> 00:00:28.130 and what you can see here is that each dot represents a person, 00:00:28.130 --> 00:00:31.424 each line represents a relationship between those people, 00:00:31.424 --> 00:00:34.870 and each color represents a community within the network. NOTE Paragraph 00:00:34.870 --> 00:00:39.732 Now, I'm here on the green side, down on the far right where the geeks are, 00:00:39.732 --> 00:00:43.580 and TEDx also is down on the far right. (Laughter) 00:00:43.580 --> 00:00:46.157 Now, on the other side of the network, 00:00:46.157 --> 00:00:49.117 you tend to have primarily African-American and Latino folks 00:00:49.117 --> 00:00:52.707 who are really concerned about somewhat different things than the geeks are, 00:00:52.707 --> 00:00:54.148 but just to give some sense, 00:00:54.148 --> 00:00:56.554 the green part of the network we call Smalltimore, 00:00:56.554 --> 00:00:58.099 for those of us that inhabit it, 00:00:58.099 --> 00:01:01.014 because it seems as though we're living in a very small town. 00:01:01.014 --> 00:01:03.048 We see the same people over and over again, 00:01:03.048 --> 00:01:05.219 but that's because we're not really exploring 00:01:05.219 --> 00:01:08.081 the full depth and breadth of the city. 00:01:08.081 --> 00:01:09.833 On the other end of the network, 00:01:09.833 --> 00:01:12.770 you have folks who are interested in things like hip-hop music 00:01:12.770 --> 00:01:16.574 and they even identify with living in the DC/Maryland/Virginia area 00:01:16.574 --> 00:01:20.990 over, say, the Baltimore city designation proper. 00:01:20.990 --> 00:01:23.090 But in the middle, you see that there's 00:01:23.090 --> 00:01:25.573 something that connects the two communities together, 00:01:25.573 --> 00:01:26.452 and that's sports. 00:01:26.452 --> 00:01:29.540 We have the Baltimore Orioles, the Baltimore Ravens football team, 00:01:29.540 --> 00:01:30.986 Michael Phelps, the Olympian. 00:01:30.986 --> 00:01:33.824 Under Armour, you may have heard of, is a Baltimore company, 00:01:33.824 --> 00:01:36.257 and that community of sports acts as the only bridge 00:01:36.257 --> 00:01:38.528 between these two ends of the network. NOTE Paragraph 00:01:38.528 --> 00:01:40.423 Let's take a look at San Francisco. 00:01:40.423 --> 00:01:43.609 You see something a little bit different happening in San Francisco. 00:01:43.609 --> 00:01:48.002 On the one hand, you do have the media, politics and news lobe 00:01:48.002 --> 00:01:50.537 that tends to exist in Baltimore and other cities, 00:01:50.537 --> 00:01:52.892 but you also have this very predominant group 00:01:52.892 --> 00:01:57.285 of geeks and techies that are sort of taking over the top half of the network, 00:01:57.285 --> 00:01:59.787 and there's even a group that's so distinct and clear 00:01:59.787 --> 00:02:02.137 that we can identify it as Twitter employees, 00:02:02.137 --> 00:02:05.504 next to the geeks, in between the gamers and the geeks, 00:02:05.504 --> 00:02:08.445 at the opposite end of the hip-hop spectrum. 00:02:08.445 --> 00:02:10.162 So you can see, though, 00:02:10.162 --> 00:02:12.843 that the tensions that we've heard about in San Francisco 00:02:12.843 --> 00:02:15.764 in terms of people being concerned about gentrification 00:02:15.764 --> 00:02:18.523 and all the new tech companies that are bringing new wealth 00:02:18.523 --> 00:02:20.620 and settlement into the city are real, 00:02:20.620 --> 00:02:22.849 and you can actually see that documented here. 00:02:22.849 --> 00:02:24.869 You can see the LGBT community 00:02:24.869 --> 00:02:28.165 is not really getting along with the geek community that well, 00:02:28.165 --> 00:02:30.297 the arts community, the music community. 00:02:30.297 --> 00:02:32.070 And so it leads to things like this. 00:02:32.070 --> 00:02:33.043 ["Evict Twitter"] 00:02:33.043 --> 00:02:34.867 Somebody sent me this photo a few weeks ago, 00:02:34.867 --> 00:02:37.774 and it shows what is happening on the ground in San Francisco, 00:02:37.774 --> 00:02:40.158 and I think you can actually try to understand that 00:02:40.158 --> 00:02:41.860 through looking at a map like this. NOTE Paragraph 00:02:41.860 --> 00:02:43.620 Let's take a look at Rio de Janeiro. 00:02:43.620 --> 00:02:46.074 I spent the last few weeks gathering data about Rio, 00:02:46.074 --> 00:02:48.881 and one of the things that stood out to me about this city 00:02:48.881 --> 00:02:51.003 is that everything's really kind of mixed up. 00:02:51.003 --> 00:02:55.107 It's a very heterogenous city in a way that Baltimore or San Francisco is not. 00:02:55.107 --> 00:02:57.562 You still have the lobe of people involved 00:02:57.562 --> 00:02:59.946 with government, newspapers, politics, columnists. 00:02:59.946 --> 00:03:03.350 TEDxRio is down in the lower right, right next to bloggers and writers. 00:03:03.350 --> 00:03:06.059 But then you also have this tremendous diversity of people 00:03:06.059 --> 00:03:08.333 that are interested in different kinds of music. 00:03:08.333 --> 00:03:10.537 Even Justin Bieber fans are represented here. 00:03:10.537 --> 00:03:13.429 Other boy bands, country singers, 00:03:13.429 --> 00:03:16.337 gospel music, funk and rap and stand-up comedy, 00:03:16.337 --> 00:03:19.376 and there's even a whole section around drugs and jokes. 00:03:19.376 --> 00:03:20.862 How cool is that? 00:03:20.862 --> 00:03:23.996 And then the Flamengo football team is also represented here. 00:03:23.996 --> 00:03:26.156 So you have that same kind of spread 00:03:26.156 --> 00:03:28.871 of sports and civics and the arts and music, 00:03:28.871 --> 00:03:31.032 but it's represented in a very different way, 00:03:31.032 --> 00:03:34.352 and I think that maybe fits with our understanding of Rio 00:03:34.352 --> 00:03:38.366 as being a very multicultural, musically diverse city. NOTE Paragraph 00:03:38.366 --> 00:03:41.984 So we have all this data. 00:03:41.984 --> 00:03:45.102 It's an incredibly rich set of data that we have about cities now, 00:03:45.102 --> 00:03:48.348 maybe even richer than any data set that we've ever had before. 00:03:48.348 --> 00:03:50.272 So what can we do with it? 00:03:50.272 --> 00:03:53.142 Well, I think the first thing that we can try to understand 00:03:53.142 --> 00:03:55.480 is that segregation is a social construct. 00:03:55.480 --> 00:03:58.824 It's something that we choose to do, and we could choose not to do it, 00:03:58.824 --> 00:04:00.756 and if you kind of think about it, 00:04:00.756 --> 00:04:04.167 what we're doing with this data is aiming a space telescope at a city 00:04:04.167 --> 00:04:07.199 and looking at it as if was a giant high school cafeteria, 00:04:07.199 --> 00:04:10.937 and seeing how everybody arranged themselves in a seating chart. 00:04:10.937 --> 00:04:14.250 Well maybe it's time to shake up the seating chart a little bit. NOTE Paragraph 00:04:14.250 --> 00:04:16.790 The other thing that we start to realize 00:04:16.790 --> 00:04:19.428 is that race is a really poor proxy for diversity. 00:04:19.428 --> 00:04:22.365 We've got people represented from all different types of races 00:04:22.365 --> 00:04:24.691 across the entire map here -- 00:04:24.691 --> 00:04:27.067 only looking at race 00:04:27.067 --> 00:04:29.785 doesn't really contribute to our development of diversity. 00:04:29.785 --> 00:04:31.524 So if we're trying to use diversity 00:04:31.524 --> 00:04:34.605 as a way to tackle some of our more intractable problems, 00:04:34.605 --> 00:04:37.899 we need to start to think about diversity in a new way. NOTE Paragraph 00:04:37.899 --> 00:04:41.426 And lastly, we have the ability to create 00:04:41.426 --> 00:04:44.520 interventions to start to reshape our cities in a new way, 00:04:44.520 --> 00:04:47.120 and I believe that if we have that capability, 00:04:47.120 --> 00:04:50.185 we may even bear some responsibility to do so. NOTE Paragraph 00:04:50.185 --> 00:04:51.950 So what is a city? 00:04:51.950 --> 00:04:54.156 I think some might say that it is 00:04:54.156 --> 00:04:57.316 a geographical area or a collection of streets and buildings, 00:04:57.316 --> 00:05:00.068 but I believe that a city is the sum of the relationships 00:05:00.068 --> 00:05:01.629 of the people that live there, 00:05:01.629 --> 00:05:07.680 and I believe that if we can start to document those relationships in a real way 00:05:07.680 --> 00:05:09.413 then maybe we have a real shot 00:05:09.413 --> 00:05:12.088 at creating those kinds of cities that we'd like to have. NOTE Paragraph 00:05:12.088 --> 00:05:13.445 Thank you. NOTE Paragraph 00:05:13.445 --> 00:05:15.749 (Applause)