Making a TED-Ed Lesson: Visualizing big ideas

228,476 views ・ 2013-11-25

TED-Ed


Please double-click on the English subtitles below to play the video.

00:06
Do you ever struggle to find the perfect description
0
6552
2398
00:08
when trying to convey an idea?
1
8950
1931
00:10
Like a foggy picture,
2
10881
1318
00:12
adjectives and modifiers fail to depict
3
12199
2137
00:14
what's in your mind.
4
14336
1492
00:15
Illustrators often face a similar challenge,
5
15828
2872
00:18
especially when attempting to explain
6
18700
1669
00:20
complex and difficult concepts.
7
20369
2380
00:22
Sometimes the imagery is intangible
8
22749
2003
00:24
or way too complicated to explain with a picture.
9
24752
3603
00:28
Although complex information could be relayed
10
28355
3026
00:31
using charts and stats,
11
31381
1737
00:33
this could get pretty boring.
12
33118
1777
00:34
Instead, just like when writing an essay
13
34895
2104
00:36
to describe, for example, emotions,
14
36999
2310
00:39
illustrators can use visual metaphors
15
39309
2544
00:41
to bring to life difficult concepts.
16
41853
2468
00:44
Just as a written metaphor is a description
17
44321
2128
00:46
that relates one object to another,
18
46449
1950
00:48
a visual metaphor uses imagery to suggest
19
48399
2724
00:51
a particular association or point of similarity.
20
51123
3767
00:59
Our lesson "Big Data" is a great example
21
59273
1970
01:01
of a situation where visual metaphors
22
61243
2223
01:03
played a huge role in explaining the concept.
23
63466
2862
01:06
What is Big Data in the first place?
24
66328
2711
01:09
Good question!
25
69039
1505
01:10
Big Data is a huge amount of digital information
26
70544
2757
01:13
produced worldwide on a daily basis,
27
73301
2667
01:15
challenging us to find solutions
28
75968
1950
01:17
for storing,
29
77918
755
01:18
analyzing,
30
78673
742
01:19
and also imagining it visually.
31
79415
2586
01:22
Quite an elusive concept!
32
82001
2081
01:24
How should we depict this?
33
84082
1988
01:30
Let's take a look at our "Big Data" script.
34
90224
2005
01:32
We start with smaller computer servers
35
92229
2386
01:34
that branch out into bigger networks
36
94615
1667
01:36
to produce data,
37
96282
1205
01:37
then even bigger networks
38
97487
1363
01:38
and production of even more data.
39
98850
2303
01:41
You see where we're going with this --
40
101153
1520
01:42
an object growing and branching out in many directions
41
102673
3166
01:45
and producing something as a result?
42
105839
2281
01:48
Does that remind you of something?
43
108120
1531
01:49
Just like those computer networks,
44
109651
1896
01:51
a tree grows and branches out
45
111547
2184
01:53
to produce more leaves each year.
46
113731
3027
01:56
And every year, just as the data accumulates
47
116758
1944
01:58
and faces us with a challenge
48
118702
1309
02:00
to find storage solutions,
49
120011
1678
02:01
it gets harder to collect those piles of leaves
50
121689
2078
02:03
when they fall off the tree.
51
123767
2052
02:05
Aha! There's our visual metaphor!
52
125819
3096
02:11
Okay, so we have the script,
53
131991
1658
02:13
audio,
54
133649
582
02:14
and a visual metaphor.
55
134231
1507
02:15
The next step in visual development
56
135738
1805
02:17
is to design the characters
57
137543
1276
02:18
and environments of the animation.
58
138819
1977
02:20
To do so, we think
59
140796
1248
02:22
of an appropriate and appealing style
60
142044
1756
02:23
to illustrate the ideas
61
143800
2160
02:25
and help the viewer better understand
62
145960
965
02:26
what they're hearing.
63
146925
1550
02:28
Let's go back to the script
64
148475
1304
02:29
and see if we can find any clues there.
65
149779
2422
02:32
Our story starts in the 1960s
66
152201
2306
02:34
when the first computer networks were built.
67
154507
2302
02:36
This decade will serve as a good point
68
156809
1807
02:38
to make the stylistic choice for our animation
69
158616
2531
02:41
as it will allow us to refer to artwork
70
161147
2048
02:43
from that era.
71
163195
1374
02:44
You may want to start
72
164569
702
02:45
by looking at some art books
73
165271
1333
02:46
(design, illustrations, cartoons, etc.)
74
166604
3071
02:49
from that era
75
169675
1179
02:50
and find a style that may our own purpose.
76
170854
2581
02:53
Look closely,
77
173435
837
02:54
study the material,
78
174272
884
02:55
and try to understand the choices
79
175156
1474
02:56
artists of that time made and why.
80
176630
3110
02:59
For example, the 1960s minimalist animation style
81
179740
3467
03:03
was a significant departure
82
183207
1378
03:04
from the cinematic realism
83
184585
1616
03:06
that was popular in animated films at the time.
84
186201
2590
03:08
The choice to use limited animation techniques
85
188791
2302
03:11
was originally made for budgetary reasons,
86
191093
2667
03:13
but it became a signature style
87
193760
1584
03:15
that influenced many future generations of animators.
88
195344
3618
03:18
In this stylistic approach,
89
198962
1497
03:20
the simplified characters,
90
200459
1684
03:22
flat backgrounds,
91
202143
984
03:23
and angular shapes come together
92
203127
2015
03:25
to create new interpretations of reality,
93
205142
2911
03:28
which also sounds like a good place
94
208053
1575
03:29
to begin visualizing our own Big Data.
95
209628
3234
03:37
Well, let's try an experiment.
96
217984
2057
03:40
"In the 1980s islands of similar networks
97
220994
2502
03:43
speaking different dialects
98
223496
1413
03:44
sprung up all over Europe and the States,
99
224909
2252
03:47
making remote access possible but tortuous."
100
227161
3458
03:50
Is this better?
101
230619
1125
03:51
"In the 1980s islands of similar networks
102
231744
2335
03:54
speaking different dialects
103
234079
1321
03:55
sprung up all over Europe and the States,
104
235400
2430
03:57
making remote access possible but tortuous.
105
237830
3114
04:00
To make it easy for our physicists across the world
106
240944
2102
04:03
to access the ever-expanding Big Data
107
243046
2525
04:05
stored at CERN without traveling,
108
245571
1842
04:07
the networks needed to be talking
109
247413
1410
04:08
with the same language."
110
248823
1638
04:10
As you probably observed,
111
250461
1115
04:11
graphic representations are a great way
112
251576
2061
04:13
to capture the interest of your audience.
113
253637
2044
04:15
By depicting what you want to present and explain
114
255681
2552
04:18
with strong, memorable visuals,
115
258233
1955
04:20
you can communicate your idea more effectively.
116
260188
2620
04:22
So, now, challenge yourself.
117
262808
1550
04:24
Think of an abstract concept
118
264358
1718
04:26
that cannot be explained with simple words.
119
266076
2368
04:28
Go ahead and try your hand
120
268444
1165
04:29
at visually developing that idea.
121
269609
2171
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7