0:00:06.552,0:00:08.950 Do you ever struggle to find the perfect description 0:00:08.950,0:00:10.881 when trying to convey an idea? 0:00:10.881,0:00:12.199 Like a foggy picture, 0:00:12.199,0:00:14.336 adjectives and modifiers fail to depict 0:00:14.336,0:00:15.828 what's in your mind. 0:00:15.828,0:00:18.700 Illustrators often face a similar challenge, 0:00:18.700,0:00:20.369 especially when attempting to explain 0:00:20.369,0:00:22.749 complex and difficult concepts. 0:00:22.749,0:00:24.752 Sometimes the imagery is intangible 0:00:24.752,0:00:28.355 or way to complicated to explain with a picture. 0:00:28.355,0:00:31.381 Although complex information could be relayed 0:00:31.381,0:00:33.118 using charts and stats, 0:00:33.118,0:00:34.895 this could get pretty boring. 0:00:34.895,0:00:36.999 Instead, just like when writing an essay 0:00:36.999,0:00:39.309 to describe, for example, emotions, 0:00:39.309,0:00:41.853 illustrators can use visual metaphors 0:00:41.853,0:00:44.321 to bring to life difficult concepts. 0:00:44.321,0:00:46.449 Just as a written metaphor is a description 0:00:46.449,0:00:48.399 that relates one object to another, 0:00:48.399,0:00:51.123 a visual metaphor uses imagery to suggest 0:00:51.123,0:00:54.890 a particular association or point of similarity. 0:00:59.273,0:01:01.243 Our lesson "Big Data" is a great example 0:01:01.243,0:01:03.466 of a situation where visual metaphors 0:01:03.466,0:01:06.328 played a huge role in explaining the concept. 0:01:06.328,0:01:09.039 What is big data in the first place? 0:01:09.039,0:01:10.544 Good question! 0:01:10.544,0:01:13.301 Big data is a huge amount of digital information 0:01:13.301,0:01:15.968 produced worldwide on a daily basis, 0:01:15.968,0:01:17.918 challenging us to find solutions 0:01:17.918,0:01:18.673 for storing, 0:01:18.673,0:01:19.415 analyzing, 0:01:19.415,0:01:22.001 and also imagining it visually. 0:01:22.001,0:01:24.082 Quite an ellucive concept! 0:01:24.082,0:01:26.070 How should we depict this? 0:01:30.224,0:01:32.229 Let's take a look at our "Big Data" script. 0:01:32.229,0:01:34.615 We start with smaller computer servers 0:01:34.615,0:01:36.282 that branch out to bigger networks 0:01:36.282,0:01:37.487 to produce data, 0:01:37.487,0:01:38.850 then even bigger networks 0:01:38.850,0:01:41.153 and production of even more data. 0:01:41.153,0:01:42.673 You see where we're going with this -- 0:01:42.673,0:01:45.839 an object growing and branching out in many directions 0:01:45.839,0:01:48.120 and producing something as a result? 0:01:48.120,0:01:49.651 Does that remind you of something? 0:01:49.651,0:01:51.547 Just like those computer networks, 0:01:51.547,0:01:53.731 a tree grows and branches out 0:01:53.731,0:01:56.758 to produce more leaves each year. 0:01:56.758,0:01:58.702 And every year, just as the data accumulates 0:01:58.702,0:02:00.011 and faces us with a challenge 0:02:00.011,0:02:01.689 to find storage solutions, 0:02:01.689,0:02:03.767 it gets harder to collect those piles of leaves 0:02:03.767,0:02:05.819 when they fall off the tree. 0:02:05.819,0:02:08.915 Ah-ha! There's our visual metaphor! 0:02:11.991,0:02:13.649 Okay, so we have the script, 0:02:13.649,0:02:14.231 audio, 0:02:14.231,0:02:15.738 and a visual metaphor. 0:02:15.738,0:02:17.543 The next step in visual development 0:02:17.543,0:02:18.819 is to design the characters 0:02:18.819,0:02:20.796 and environments of the animation. 0:02:20.796,0:02:22.044 To do so, we think 0:02:22.044,0:02:23.800 of an appropriate and appealing style 0:02:23.800,0:02:25.096 to illustrate the ideas 0:02:25.096,0:02:26.925 and help the viewer better understand 0:02:26.925,0:02:28.475 what they're hearing. 0:02:28.475,0:02:29.779 Let's go back to the script 0:02:29.779,0:02:32.201 and see if we can find any clues there. 0:02:32.201,0:02:34.507 Our story starts in the 1960s 0:02:34.507,0:02:36.809 when the first computer networks were built. 0:02:36.809,0:02:38.616 This decade will serve as a good point 0:02:38.616,0:02:41.147 to make the stylistic choice for our animation 0:02:41.147,0:02:43.195 as it will allow us to refer to artwork 0:02:43.195,0:02:44.569 from that era. 0:02:44.569,0:02:45.271 You may want to start 0:02:45.271,0:02:46.604 by looking at some art books 0:02:46.604,0:02:49.675 (design, illustrations, cartoons, etc.) 0:02:49.675,0:02:50.854 from that era 0:02:50.854,0:02:53.435 and find a style that may our own purpose. 0:02:53.435,0:02:54.272 Look closely, 0:02:54.272,0:02:55.156 study the material, 0:02:55.156,0:02:56.630 and try to understand the choices 0:02:56.630,0:02:59.740 artists of that time made and why. 0:02:59.740,0:03:03.207 For example, the 1960s minimalist animation style 0:03:03.207,0:03:04.585 was a significant departure 0:03:04.585,0:03:06.201 from the cinematic realism 0:03:06.201,0:03:08.791 that was popular in animated films at the time. 0:03:08.791,0:03:11.093 The choice to use limited animation techniques 0:03:11.093,0:03:13.760 was originally made for budgetary reasons, 0:03:13.760,0:03:15.344 but it became a signature style 0:03:15.344,0:03:18.962 that influenced many future generations of animators. 0:03:18.962,0:03:20.459 In this stylistic approach, 0:03:20.459,0:03:22.143 the simplified characters, 0:03:22.143,0:03:23.127 flat backgrounds, 0:03:23.127,0:03:25.142 and angular shapes come together 0:03:25.142,0:03:28.053 to create new interpretations of reality, 0:03:28.053,0:03:29.628 which also sounds like a good place 0:03:29.628,0:03:32.862 to begin visualizing our own big data. 0:03:37.984,0:03:40.041 Well, let's try an experiment. 0:03:40.994,0:03:43.496 "In the 1980s islands of similar networks 0:03:43.496,0:03:44.909 speaking different dialects 0:03:44.909,0:03:47.161 sprung up all over Europe and the States, 0:03:47.161,0:03:50.619 making remote access possible but tortuous." 0:03:50.619,0:03:51.744 Is this better? 0:03:51.744,0:03:54.079 "In the 1980s islands of similar networks 0:03:54.079,0:03:55.400 speaking different dialects 0:03:55.400,0:03:57.830 sprung up all over Europe and the States, 0:03:57.830,0:04:00.944 making remote access possible but tortuous. 0:04:00.944,0:04:03.046 To make it easy for our physicists across the world 0:04:03.046,0:04:05.571 to access the ever-expanding big data 0:04:05.571,0:04:07.413 stored at CERN without traveling, 0:04:07.413,0:04:08.823 the networks needed to be talking 0:04:08.823,0:04:10.461 with the same language." 0:04:10.461,0:04:11.576 As you probably observed, 0:04:11.576,0:04:13.637 graphic representations are a great way 0:04:13.637,0:04:15.681 to capture the interest of your audience. 0:04:15.681,0:04:18.233 By depicting what you want to present and explain 0:04:18.233,0:04:20.188 with strong, measurable visuals, 0:04:20.188,0:04:22.808 you can communicate your idea more effectively. 0:04:22.808,0:04:24.358 So, now, challenge yourself. 0:04:24.358,0:04:26.076 Think of an abstract concept 0:04:26.076,0:04:28.444 that cannot be explained with simple words. 0:04:28.444,0:04:29.609 Go ahead and try your hand 0:04:29.609,0:04:31.780 at visually developing that idea.