WEBVTT 00:00:09.763 --> 00:00:12.821 Historically, Madrid’s air has been represented by its skies, 00:00:12.845 --> 00:00:15.513 from Velázquez, who took the entire royal court outdoors 00:00:15.537 --> 00:00:17.514 to paint their portrait, 00:00:17.538 --> 00:00:22.375 to photography nuts who post their Madrid photos on Flickr. 00:00:22.399 --> 00:00:27.175 This is the first image that shows up when you search "Madrid" on Flickr. 00:00:28.173 --> 00:00:32.086 Still, even if this is how the Madrid sky appears 00:00:32.110 --> 00:00:34.825 in our collective imagination, 00:00:34.849 --> 00:00:36.886 on a day-to-day basis, 00:00:36.910 --> 00:00:38.255 Madrid's sky looks like this 00:00:38.279 --> 00:00:39.857 and like this 00:00:39.881 --> 00:00:41.162 and like this. 00:00:41.186 --> 00:00:44.457 And only those photos you see in the newspapers now and then, 00:00:44.481 --> 00:00:47.461 can actually reveal the bad quality of air in Madrid. 00:00:48.638 --> 00:00:49.928 It makes you wonder: 00:00:49.952 --> 00:00:53.459 Why do we know so little about something like air quality? 00:00:53.483 --> 00:00:55.054 And the answer is very simple - 00:00:55.078 --> 00:00:57.497 because it's microscopic and we don't see it. 00:00:57.521 --> 00:01:01.344 Thus, the "In The Air" project was born, 00:01:01.368 --> 00:01:05.273 with the intention of giving legitimacy to a system 00:01:05.297 --> 00:01:06.919 that forms a part of our city; 00:01:06.943 --> 00:01:08.821 a system with which we interact, 00:01:08.845 --> 00:01:10.598 that runs our daily lives, 00:01:10.622 --> 00:01:14.370 and that has a very close relationship with our bodies. 00:01:14.394 --> 00:01:16.956 The project is a collective effort, 00:01:16.980 --> 00:01:21.733 built by a fantastic team of multidisciplinary collaborators 00:01:21.757 --> 00:01:23.838 from all over the world, 00:01:23.862 --> 00:01:27.377 and developed through workshops, 00:01:27.401 --> 00:01:30.924 like Media Lab Prado in 2008, the first of such events. 00:01:32.067 --> 00:01:33.743 But back to the air. 00:01:33.767 --> 00:01:36.632 Allow me to present its actors: 00:01:36.656 --> 00:01:41.409 gases like CO2, nitrogen dioxide, ozone, sulphur dioxide, 00:01:41.433 --> 00:01:46.578 or suspended particulates like rubber, leather, lead... 00:01:49.342 --> 00:01:52.467 Ever since Spain joined the European Union, 00:01:52.491 --> 00:01:57.433 Madrid's city council is obligated to inform the public about air quality. 00:01:57.457 --> 00:01:59.487 This is how they presented it in 2007, 00:01:59.511 --> 00:02:01.494 and like this for 2008, 2010. 00:02:01.518 --> 00:02:03.114 But it makes you wonder: 00:02:03.138 --> 00:02:08.082 Could we find a more adequate way to present the information, 00:02:08.106 --> 00:02:12.101 so we could have a better sense of what's going on with our air? 00:02:12.125 --> 00:02:14.603 We found there were two things missing: 00:02:14.627 --> 00:02:19.918 geolocalization and the order of events. 00:02:19.942 --> 00:02:24.715 So we put together these graphic maps, which are basically air landscapes. 00:02:25.739 --> 00:02:29.463 You can see them in real time on an interactive web page, 00:02:29.487 --> 00:02:31.712 where you can view all the different components 00:02:31.736 --> 00:02:34.045 and navigate the city from below its airstream. 00:02:35.041 --> 00:02:40.122 We can also see what effects our actions have on air quality, 00:02:40.146 --> 00:02:42.489 on both a city scale 00:02:42.513 --> 00:02:44.286 and also per 100,000 inhabitants. 00:02:45.331 --> 00:02:49.266 We can also identify where emissions are coming from, 00:02:49.290 --> 00:02:52.035 and how they might affect our health. 00:02:53.226 --> 00:02:55.459 It's been interesting to read through the data. 00:02:55.483 --> 00:02:59.244 It's allowed us to see that there's a very close relationship 00:02:59.268 --> 00:03:02.509 between what happens in the city, our own everyday actions, 00:03:02.533 --> 00:03:04.576 and what's produced in the air - 00:03:04.600 --> 00:03:06.744 what we produce, collectively, in the air. 00:03:07.140 --> 00:03:10.634 For example, in the spectacular case of a New Year's Eve, 00:03:10.658 --> 00:03:13.557 when the particulate suspension levels dramatically increase. 00:03:13.581 --> 00:03:16.453 The same happens during soccer games in Bernabéu Stadium. 00:03:16.835 --> 00:03:19.622 The project also examines 00:03:19.646 --> 00:03:22.824 how the way in which we transfer this information to public spaces 00:03:22.848 --> 00:03:24.815 can produce different reactions 00:03:24.839 --> 00:03:27.336 as well as differences in the collective dynamics 00:03:27.360 --> 00:03:30.413 involved in plazas and public spaces. 00:03:31.307 --> 00:03:33.294 So we developed several prototypes. 00:03:33.318 --> 00:03:36.625 One of them was this cloud of colored mist 00:03:36.649 --> 00:03:38.353 on the facade of Media Lab Prado 00:03:38.377 --> 00:03:41.792 which represents the levels of air pollution by pulsating. 00:03:41.816 --> 00:03:47.109 This digital facade allows us to identify minimally polluted routes. 00:03:49.094 --> 00:03:52.501 There are also mobile devices that help us navigate the city, 00:03:52.535 --> 00:03:57.287 orienting us like a sort of aerial compass 00:03:58.017 --> 00:04:04.422 while transmitting in real-time, information about the urban surroundings. 00:04:06.700 --> 00:04:09.864 We're currently researching this "public good," 00:04:09.888 --> 00:04:11.859 as it's been called several times today. 00:04:11.883 --> 00:04:14.549 It's intimately linked with our bodies, 00:04:14.573 --> 00:04:18.776 and since it can impact the health 00:04:18.800 --> 00:04:21.904 of the citizens of Madrid, 00:04:21.928 --> 00:04:25.270 all of our bodies are affected by it, 00:04:26.159 --> 00:04:31.159 and by the processes of exclusion that it will eventually produce. 00:04:33.225 --> 00:04:36.492 We're also looking at what types of visual formats are best, 00:04:36.516 --> 00:04:40.214 and to what extent a visualization can motivate, stimulate 00:04:40.238 --> 00:04:42.831 or act as an intermediary for political action, 00:04:42.855 --> 00:04:45.693 on both an individual and collective level. 00:04:47.830 --> 00:04:50.282 Let's take a look at how Madrid breathes. 00:05:54.496 --> 00:05:55.770 Last inhale. 00:05:56.353 --> 00:05:57.642 Thank you very much. 00:05:58.686 --> 00:06:01.201 (Applause)