WEBVTT 00:00:06.552 --> 00:00:08.950 Do you ever struggle to find the perfect description 00:00:08.950 --> 00:00:10.881 when trying to convey an idea? 00:00:10.881 --> 00:00:12.199 Like a foggy picture, 00:00:12.199 --> 00:00:14.336 adjectives and modifiers fail to depict 00:00:14.336 --> 00:00:15.828 what's in your mind. 00:00:15.828 --> 00:00:18.700 Illustrators often face a similar challenge, 00:00:18.700 --> 00:00:20.369 especially when attempting to explain 00:00:20.369 --> 00:00:22.749 complex and difficult concepts. 00:00:22.749 --> 00:00:24.752 Sometimes the imagery is intangible 00:00:24.752 --> 00:00:28.355 or way too complicated to explain with a picture. 00:00:28.355 --> 00:00:31.381 Although complex information could be relayed 00:00:31.381 --> 00:00:33.118 using charts and stats, 00:00:33.118 --> 00:00:34.895 this could get pretty boring. 00:00:34.895 --> 00:00:36.999 Instead, just like when writing an essay 00:00:36.999 --> 00:00:39.309 to describe, for example, emotions, 00:00:39.309 --> 00:00:41.853 illustrators can use visual metaphors 00:00:41.853 --> 00:00:44.321 to bring to life difficult concepts. 00:00:44.321 --> 00:00:46.449 Just as a written metaphor is a description 00:00:46.449 --> 00:00:48.399 that relates one object to another, 00:00:48.399 --> 00:00:51.123 a visual metaphor uses imagery to suggest 00:00:51.123 --> 00:00:54.890 a particular association or point of similarity. 00:00:59.273 --> 00:01:01.243 Our lesson "Big Data" is a great example 00:01:01.243 --> 00:01:03.466 of a situation where visual metaphors 00:01:03.466 --> 00:01:06.328 played a huge role in explaining the concept. 00:01:06.328 --> 00:01:09.039 What is Big Data in the first place? 00:01:09.039 --> 00:01:10.544 Good question! 00:01:10.544 --> 00:01:13.301 Big Data is a huge amount of digital information 00:01:13.301 --> 00:01:15.968 produced worldwide on a daily basis, 00:01:15.968 --> 00:01:17.918 challenging us to find solutions 00:01:17.918 --> 00:01:18.673 for storing, 00:01:18.673 --> 00:01:19.415 analyzing, 00:01:19.415 --> 00:01:22.001 and also imagining it visually. 00:01:22.001 --> 00:01:24.082 Quite an elusive concept! 00:01:24.082 --> 00:01:26.070 How should we depict this? 00:01:30.224 --> 00:01:32.229 Let's take a look at our "Big Data" script. 00:01:32.229 --> 00:01:34.615 We start with smaller computer servers 00:01:34.615 --> 00:01:36.282 that branch out into bigger networks 00:01:36.282 --> 00:01:37.487 to produce data, 00:01:37.487 --> 00:01:38.850 then even bigger networks 00:01:38.850 --> 00:01:41.153 and production of even more data. 00:01:41.153 --> 00:01:42.673 You see where we're going with this -- 00:01:42.673 --> 00:01:45.839 an object growing and branching out in many directions 00:01:45.839 --> 00:01:48.120 and producing something as a result? 00:01:48.120 --> 00:01:49.651 Does that remind you of something? 00:01:49.651 --> 00:01:51.547 Just like those computer networks, 00:01:51.547 --> 00:01:53.731 a tree grows and branches out 00:01:53.731 --> 00:01:56.758 to produce more leaves each year. 00:01:56.758 --> 00:01:58.702 And every year, just as the data accumulates 00:01:58.702 --> 00:02:00.011 and faces us with a challenge 00:02:00.011 --> 00:02:01.689 to find storage solutions, 00:02:01.689 --> 00:02:03.767 it gets harder to collect those piles of leaves 00:02:03.767 --> 00:02:05.819 when they fall off the tree. 00:02:05.819 --> 00:02:08.915 Aha! There's our visual metaphor! 00:02:11.991 --> 00:02:13.649 Okay, so we have the script, 00:02:13.649 --> 00:02:14.231 audio, 00:02:14.231 --> 00:02:15.738 and a visual metaphor. 00:02:15.738 --> 00:02:17.543 The next step in visual development 00:02:17.543 --> 00:02:18.819 is to design the characters 00:02:18.819 --> 00:02:20.796 and environments of the animation. 00:02:20.796 --> 00:02:22.044 To do so, we think 00:02:22.044 --> 00:02:23.800 of an appropriate and appealing style 00:02:23.800 --> 00:02:25.960 to illustrate the ideas 00:02:25.960 --> 00:02:26.925 and help the viewer better understand 00:02:26.925 --> 00:02:28.475 what they're hearing. 00:02:28.475 --> 00:02:29.779 Let's go back to the script 00:02:29.779 --> 00:02:32.201 and see if we can find any clues there. 00:02:32.201 --> 00:02:34.507 Our story starts in the 1960s 00:02:34.507 --> 00:02:36.809 when the first computer networks were built. 00:02:36.809 --> 00:02:38.616 This decade will serve as a good point 00:02:38.616 --> 00:02:41.147 to make the stylistic choice for our animation 00:02:41.147 --> 00:02:43.195 as it will allow us to refer to artwork 00:02:43.195 --> 00:02:44.569 from that era. 00:02:44.569 --> 00:02:45.271 You may want to start 00:02:45.271 --> 00:02:46.604 by looking at some art books 00:02:46.604 --> 00:02:49.675 (design, illustrations, cartoons, etc.) 00:02:49.675 --> 00:02:50.854 from that era 00:02:50.854 --> 00:02:53.435 and find a style that may our own purpose. 00:02:53.435 --> 00:02:54.272 Look closely, 00:02:54.272 --> 00:02:55.156 study the material, 00:02:55.156 --> 00:02:56.630 and try to understand the choices 00:02:56.630 --> 00:02:59.740 artists of that time made and why. 00:02:59.740 --> 00:03:03.207 For example, the 1960s minimalist animation style 00:03:03.207 --> 00:03:04.585 was a significant departure 00:03:04.585 --> 00:03:06.201 from the cinematic realism 00:03:06.201 --> 00:03:08.791 that was popular in animated films at the time. 00:03:08.791 --> 00:03:11.093 The choice to use limited animation techniques 00:03:11.093 --> 00:03:13.760 was originally made for budgetary reasons, 00:03:13.760 --> 00:03:15.344 but it became a signature style 00:03:15.344 --> 00:03:18.962 that influenced many future generations of animators. 00:03:18.962 --> 00:03:20.459 In this stylistic approach, 00:03:20.459 --> 00:03:22.143 the simplified characters, 00:03:22.143 --> 00:03:23.127 flat backgrounds, 00:03:23.127 --> 00:03:25.142 and angular shapes come together 00:03:25.142 --> 00:03:28.053 to create new interpretations of reality, 00:03:28.053 --> 00:03:29.628 which also sounds like a good place 00:03:29.628 --> 00:03:32.862 to begin visualizing our own Big Data. 00:03:37.984 --> 00:03:40.041 Well, let's try an experiment. 00:03:40.994 --> 00:03:43.496 "In the 1980s islands of similar networks 00:03:43.496 --> 00:03:44.909 speaking different dialects 00:03:44.909 --> 00:03:47.161 sprung up all over Europe and the States, 00:03:47.161 --> 00:03:50.619 making remote access possible but tortuous." 00:03:50.619 --> 00:03:51.744 Is this better? 00:03:51.744 --> 00:03:54.079 "In the 1980s islands of similar networks 00:03:54.079 --> 00:03:55.400 speaking different dialects 00:03:55.400 --> 00:03:57.830 sprung up all over Europe and the States, 00:03:57.830 --> 00:04:00.944 making remote access possible but tortuous. 00:04:00.944 --> 00:04:03.046 To make it easy for our physicists across the world 00:04:03.046 --> 00:04:05.571 to access the ever-expanding Big Data 00:04:05.571 --> 00:04:07.413 stored at CERN without traveling, 00:04:07.413 --> 00:04:08.823 the networks needed to be talking 00:04:08.823 --> 00:04:10.461 with the same language." 00:04:10.461 --> 00:04:11.576 As you probably observed, 00:04:11.576 --> 00:04:13.637 graphic representations are a great way 00:04:13.637 --> 00:04:15.681 to capture the interest of your audience. 00:04:15.681 --> 00:04:18.233 By depicting what you want to present and explain 00:04:18.233 --> 00:04:20.188 with strong, memorable visuals, 00:04:20.188 --> 00:04:22.808 you can communicate your idea more effectively. 00:04:22.808 --> 00:04:24.358 So, now, challenge yourself. 00:04:24.358 --> 00:04:26.076 Think of an abstract concept 00:04:26.076 --> 00:04:28.444 that cannot be explained with simple words. 00:04:28.444 --> 00:04:29.609 Go ahead and try your hand 00:04:29.609 --> 00:04:31.780 at visually developing that idea.