Can we call it a "world map" if it's missing a billion people? | Rebecca Firth

61,171 views ใƒป 2020-09-10

TED


ืื ื ืœื—ืฅ ืคืขืžื™ื™ื ืขืœ ื”ื›ืชื•ื‘ื™ื•ืช ื‘ืื ื’ืœื™ืช ืœืžื˜ื” ื›ื“ื™ ืœื”ืคืขื™ืœ ืืช ื”ืกืจื˜ื•ืŸ.

ืชืจื’ื•ื: ืขืจื™ื›ื”: Ido Dekkers
00:13
When Hurricane Maria hit Puerto Rico in 2017,
0
13261
3113
ื›ืฉื”ื•ืจื™ืงืŸ ืžืจื™ื” ืคื’ืข ื‘ืคื•ืจื˜ื• ืจื™ืงื• ื‘ 2017,
00:16
we all watched as a disaster played out on our screens.
1
16398
3073
ื›ื•ืœื ื• ืฆืคื™ื ื• ื›ืฉืืกื•ืŸ ื”ืชืคืชื— ืขืœ ื”ืžืกื›ื™ื ืฉืœื ื•.
00:19
At least 160,000 people were displaced,
2
19495
2617
ืœืคื—ื•ืช 160,000 ืื ืฉื™ื ืื™ื‘ื“ื• ืืช ื‘ื™ืชื,
00:22
and nearly 3,000 people died.
3
22136
2075
ื•ื›ืžืขื˜ 3,000 ืื ืฉื™ื ืžืชื•.
00:24
Electricity was cut off to the entire island,
4
24235
2472
ืืกืคืงืช ื”ื—ืฉืžืœ ื ืคืกืงื” ื‘ื›ืœ ื”ืื™,
00:26
and some neighborhoods didn't get power back for 11 months.
5
26731
3165
ื•ื›ืžื” ืฉื›ื•ื ื•ืช ืœื ืงื™ื‘ืœื• ื—ืฉืžืœ ื‘ื—ื–ืจื” ื‘ืžืฉืš 11 ื—ื•ื“ืฉื™ื.
00:30
Many of those watching didn't know how to help.
6
30326
2512
ื”ืจื‘ื” ืžืืœื” ืฉืฆืคื• ืœื ื™ื“ืขื• ืื™ืš ืœืขื–ื•ืจ.
00:33
Some donated to international NGOs.
7
33599
2280
ื›ืžื” ืชืจืžื• ืœืืจื’ื•ื ื™ื ืœืœื ืžื˜ืจืช ืจื•ื•ื— ื‘ื™ืŸ ืœืื•ืžื™ื™ื.
00:35
Some lobbied their elected officials.
8
35903
2169
ื›ืžื” ืคื ื• ืœื ื‘ื—ืจื™ื ืฉืœื”ื.
00:38
But as with so many crises,
9
38096
1568
ืื‘ืœ ื›ืžื• ืขื ื›ืœ ื›ืš ื”ืจื‘ื” ืžืฉื‘ืจื™ื,
00:39
so many of us simply gave in and felt helpless.
10
39688
2761
ื›ืœ ื›ืš ื”ืจื‘ื” ืžืื™ืชื ื• ื•ื™ืชืจื• ื•ื”ืจื’ื™ืฉื• ื—ืกืจื™ ืื•ื ื™ื.
00:42
At the Humanitarian OpenStreetMap team,
11
42838
1977
ื‘ืฆื•ื•ืช ืžืคืช ื”ืจื—ื•ื‘ื•ืช ื”ืคืชื•ื—ื” ื”ื”ื•ืžื ื™ื˜ืจื™,
00:44
also known as HOT,
12
44839
1413
ืฉื™ื“ื•ืข ื’ื ื› HOT,
00:46
we did something different.
13
46276
1452
ืขืฉื™ื ื• ืžืฉื”ื• ืฉื•ื ื”.
00:47
We mobilized 6,000 volunteers across the world
14
47752
2889
ื”ืคืขืœื ื• 6,000 ืžืชื ื“ื‘ื™ื ืžืกื‘ื™ื‘ ืœืขื•ืœื
00:50
who mapped every home and every road in Puerto Rico.
15
50665
3194
ืฉืžื™ืคื• ื›ืœ ื‘ื™ืช ื•ื›ืœ ื›ื‘ื™ืฉ ื‘ืคื•ืจื˜ื• ืจื™ืงื•.
00:53
And here you can see the maps those volunteers made taking shape.
16
53883
3513
ื•ืคื” ืืชื ื™ื›ื•ืœื™ื ืœืจืื•ืช ืืช ื”ืžืคื•ืช ืฉื”ืžืชื ื“ื‘ื™ื ื”ืืœื” ื™ืฆืจื• ืžืชืคืชื—ื•ืช.
00:57
Responders then used those maps to assess the state of buildings and roads
17
57420
3620
ืžื’ื™ื‘ื™ื ื”ืฉืชืžืฉื• ืื– ื‘ืžืคื•ืช ื”ืืœื• ื›ื“ื™ ืœื”ืขืจื™ืš ืืช ืžืฆื‘ ื”ื‘ื ื™ื™ื ื™ื ื•ื”ื›ื‘ื™ืฉื™ื
01:01
and to provide emergency funds, WiFi and phone-charging points
18
61064
3585
ื•ื›ื“ื™ ืœืกืคืง ื›ืกืคื™ ื—ืจื•ื, ืจืฉืช ืืœื—ื•ื˜ื™ืช ื•ื ืงื•ื“ื•ืช ื˜ืขื™ื ืช ื˜ืœืคื•ื ื™ื
01:04
to people whose homes were damaged.
19
64673
2028
ืœืื ืฉื™ื ืฉื‘ืชื™ื”ื ื ืคื’ืขื•.
01:07
All crises,
20
67240
1153
ืœื›ืœ ื”ืžืฉื‘ืจื™ื,
01:08
including the COVID-19 pandemic we're living through right now,
21
68417
3084
ื›ื•ืœืœ ืžื’ืคืช ื”ืงื•ืจื•ื ื” ืฉืื ื—ื ื• ื—ื™ื™ื ื‘ื” ืขื›ืฉื™ื•,
01:11
have devastating characteristics.
22
71525
1922
ื™ืฉ ืชื›ื•ื ื•ืช ื”ืจืกื ื™ื•ืช.
01:14
But many of them have one thing in common:
23
74038
2480
ืื‘ืœ ืœื”ืจื‘ื” ืžื”ื ื™ืฉ ืžืฉื”ื• ืžืฉื•ืชืฃ:
01:16
the people hit the hardest are often literally not on the map.
24
76542
3634
ื”ืื ืฉื™ื ืฉื ืคื’ืขื• ื”ื›ื™ ืงืฉื” ื”ืจื‘ื” ืคืขืžื™ื ืœื ืขืœ ื”ืžืคื”.
01:20
Right now, more than one billion people live in places that are not mapped.
25
80519
4236
ืžืžืฉ ืขื›ืฉื™ื•, ื™ื•ืชืจ ืžืžืœื™ืืจื“ ืื ืฉื™ื ื—ื™ื™ื ื‘ืžืงื•ืžื•ืช ืœื ืžืžื•ืคื™ื.
01:25
If you look those places up online,
26
85246
1796
ืื ืืชื ืžื—ืคืฉื™ื ืืช ื”ืžืงื•ืžื•ืช ื”ืืœื” ื‘ืจืฉืช,
01:27
you'll see nothing but a blank.
27
87066
1877
ืืชื ืชืจืื• ืจืง ืื–ื•ืจ ืจื™ืง.
01:28
And that blank isn't just a huge statement of disrespect
28
88967
3289
ื•ื”ืื–ื•ืจ ื”ืจื™ืง ื”ื–ื” ื”ื•ื ืœื ืจืง ื”ืฆื”ืจื” ื’ื“ื•ืœื” ืฉืœ ื—ื•ืกืจ ื›ื‘ื•ื“
01:32
to our fellow human beings,
29
92280
1959
ืœืื ืฉื™ื ื”ืื—ืจื™ื,
01:34
it's an injustice,
30
94263
1633
ื–ื” ื—ื•ืกืจ ืฆื“ืง,
01:35
causing very direct, very real and very avoidable human suffering.
31
95920
4504
ืžื” ืฉื’ื•ืจื ืกื‘ืœ ืื ื•ืฉื™ ืžืื•ื“ ื™ืฉื™ืจ, ืžืื•ื“ ืžืžืฉื™, ื•ืžืื•ื“ ื ืžื ืข.
01:40
So what does not being on the digital map actually look like?
32
100448
3559
ืื– ืื™ืš ื–ื” ื ืจืื” ื‘ืžืฆื™ืื•ืช ืœื ืœื”ื™ื•ืช ืขืœ ืžืคื” ื“ื™ื’ื™ื˜ืœื™ืช?
01:44
I live in Peru, and a few months ago,
33
104515
1973
ืื ื™ ื—ื™ื™ื” ื‘ืคืจื•, ื•ืœืคื ื™ ื›ืžื” ื—ื•ื“ืฉื™ื,
01:46
some community health workers asked us to help them map.
34
106512
2698
ื›ืžื” ืขื•ื‘ื“ื™ ื‘ืจื™ืื•ืช ื‘ืงื”ื™ืœื” ื‘ื™ืงืฉื• ืžืื™ืชื ื• ืขื–ืจื” ื‘ืœืžืคื•ืช.
01:49
Obviously, where they were wasn't mapped,
35
109234
1986
ื‘ืจื•ืจ, ื”ืžืงื•ื ื‘ื• ื”ื™ื• ืœื ื”ื™ื” ืžืžื•ืคื”,
01:51
so to get there, we asked a local mayor to draw the route.
36
111244
2768
ืื– ื›ื“ื™ ืœื”ื’ื™ืข ืœืฉื, ื‘ื™ืงืฉื ื• ืžืจืืฉ ืขื™ืจ ืžืงื•ืžื™ ืœืฆื™ื™ืจ ืืช ื”ืžืกืœื•ืœ.
01:54
This is what he drew.
37
114036
1315
ื–ื” ืžื” ืฉื”ื•ื ืฆื™ื™ืจ.
01:55
This piece of paper was hard to follow. (Laughs)
38
115375
2291
ืคื™ืกืช ื”ื ื™ื™ืจ ื”ื–ื• ื”ื™ืชื” ืงืฉื” ืœืขืงื™ื‘ื”.(ืฆื—ื•ืง)
01:57
We didn't really know what these lines were.
39
117690
2071
ืœื ืžืžืฉ ื™ื“ืขื ื• ืžื” ื”ืงื•ื™ื ื”ืืœื• ื”ื™ื•.
01:59
He put some numbers on there that he assured us were travel times,
40
119785
3114
ื”ื•ื ืฉื ื›ืžื” ืžืกืคืจื™ื ืฉื ืฉื”ื•ื ื”ื‘ื˜ื™ื— ืœื ื• ืฉื”ื™ื• ื–ืžื ื™ ื ืกื™ืขื”,
02:02
but as we were driving along,
41
122923
1398
ืื‘ืœ ื›ืฉื ืกืขื ื•,
02:04
these did not correspond to our reality.
42
124345
2108
ื–ื” ืœื ื”ืชืื™ื ืœืžืฆื™ืื•ืช ืฉืœื ื•.
02:06
But this isn't about me getting lost
43
126477
2509
ืื‘ืœ ื–ื” ืœื ื ื•ื’ืข ืœื™ ืฉื”ืœื›ืชื™ ืœืื™ื‘ื•ื“
ืื• ืœืขืฉื•ืช ืฉื™ื™ืžื™ื ื’ ืœื›ื™ืฉื•ืจื™ ื”ืฆื™ื•ืจ ืฉืœ ืžื™ืฉื”ื•.
02:09
or about shaming someone's bad drawing skills.
44
129010
2242
02:11
Think how inefficient it is to manage a team
45
131673
2121
ื—ืฉื‘ื• ื›ืžื” ืœื ืžืกืคืง ื–ื” ืœื ื”ืœ ืฆื•ื•ืช
02:13
who need to work in this place
46
133818
1551
ืฉืฆืจื™ืš ืœืขื‘ื•ื“ ื‘ืžืงื•ื ื”ื–ื”
02:15
without a map to tell them where they need to go.
47
135393
2408
ื‘ืœื™ ืžืคื” ืœื”ื’ื™ื“ ืœื”ื ืœืืŸ ื”ื ืฆืจื™ื›ื™ื ืœื ืกื•ืข.
02:18
Then, once they're in the right village,
48
138214
1952
ืื–, ื‘ืจื’ืข ืฉื”ื ื‘ื›ืคืจ ื”ื ื›ื•ืŸ,
02:20
how can they collect some data and associate it to that place?
49
140190
2971
ืื™ืš ื”ื ื™ื›ื•ืœื™ื ืœืืกื•ืฃ ืžื™ื“ืข ื•ืœืฉื™ื™ืš ืื•ืชื• ืœืžื™ืงื•ื?
02:23
Those community health workers know that needs in this region are high,
50
143185
3413
ืขื•ื‘ื“ื™ ื”ื‘ืจื™ืื•ืช ื”ืงื”ื™ืœืชื™ื™ื ื™ื•ื“ืขื™ื ืฉื”ืฆืจื›ื™ื ื‘ืื–ื•ืจ ื”ื–ื” ื’ื‘ื•ื”ื™ื,
02:26
particularly anemia and malnutrition among children.
51
146622
2469
ื‘ืขื™ืงืจ ืื ืžื™ื” ื•ื—ื•ืกืจ ืชื–ื•ื ื” ื‘ื™ืŸ ื™ืœื“ื™ื.
02:29
They just don't know where those children are,
52
149115
2175
ื”ื ืคืฉื•ื˜ ืœื ื™ื•ื“ืขื™ื ืื™ืคื” ื”ื™ืœื“ื™ื ื”ืืœื”,
02:31
or what is causing that problem.
53
151314
1557
ืื• ืžื” ื’ื•ืจื ืœื‘ืขื™ื”.
02:32
They want to be able to locate the home of every child under five,
54
152895
3138
ื”ื ืจื•ืฆื™ื ืœื”ื™ื•ืช ืžืกื•ื’ืœื™ื ืœืืชืจ ืืช ื”ื‘ื™ืช ืฉืœ ื›ืœ ื™ืœื“ ืชื—ืช ื’ื™ืœ ื—ืžืฉ,
02:36
but how can they do that without a map?
55
156057
2049
ืื‘ืœ ืื™ืš ื”ื ื™ื›ื•ืœื™ื ืœืขืฉื•ืช ืืช ื–ื” ื‘ืœื™ ืžืคื”?
02:38
After a brief training, we went out to make a map,
56
158130
2603
ืื—ืจื™ ืื™ืžื•ืŸ ื–ืจื™ื–, ื™ืฆืื ื• ืœื™ืฆื•ืจ ืืช ืžืคื”,
02:40
and this is what those community health workers produced.
57
160757
2719
ื•ื–ื” ืžื” ืฉืขื•ื‘ื“ื™ ื‘ืจื™ืื•ืช ื”ืงื”ื™ืœื” ื”ืืœื” ื™ืฆืจื•.
02:43
This map has everything you need to navigate,
58
163873
2112
ื‘ืžืคื” ื”ื–ื• ื™ืฉ ืืช ื›ืœ ืžื” ืฉืืชื ืฆืจื™ื›ื™ื ื›ื“ื™ ืœื ื•ื•ื˜,
ื›ืžื• ื”ื ื”ืจื•ืช ื•ื”ื’ืฉืจื™ื,
02:46
like the rivers and bridges,
59
166009
1399
02:47
but it also has every local landmark, the school, the football pitch, the plaza.
60
167432
3821
ืื‘ืœ ื™ืฉ ื‘ื” ื’ื ื›ืœ ืกื™ืžืŸ ื“ืจืš ืžืงื•ืžื™, ื‘ื™ืช ื”ืกืคืจ, ืžื’ืจืฉ ื”ืคื•ื˜ื‘ื•ืœ, ื”ื›ื™ื›ืจ.
02:51
And I'm pleased to say that a few weeks ago,
61
171277
2073
ื•ืื ื™ ืฉืžื—ื” ืœื”ื’ื™ื“ ืฉืœืคื ื™ ื›ืžื” ืฉื‘ื•ืขื•ืช,
02:53
we got a call from those community health workers,
62
173374
2358
ืงื™ื‘ืœื ื• ื˜ืœืคื•ืŸ ืžืขื•ื‘ื“ื™ ื”ืงื”ื™ืœื” ื”ืืœื”,
02:55
and they're using this map in their response containing COVID-19.
63
175756
3107
ื•ื”ื ืžืฉืชืžืฉื™ื ื‘ืžืคื” ื‘ืชื’ื•ื‘ื” ืฉืœื”ื ืœื”ื›ืœืช ื”ืงื•ืจื•ื ื”.
02:59
So you might be thinking:
64
179593
1360
ืื– ืืชื ืื•ืœื™ ื—ื•ืฉื‘ื™ื:
03:00
Why aren't these places on commercial maps?
65
180977
2270
ืœืžื” ื”ืžืงื•ืžื•ืช ื”ืืœื” ืœื ื ืžืฆืื™ื ื‘ืžืคื•ืช ืžืกื—ืจื™ื•ืช?
03:03
In short, mapping the most vulnerable places in our world
66
183866
2896
ื‘ืงืฆืจื”, ืžื™ืคื•ื™ ืจื•ื‘ ื”ืžืงื•ืžื•ืช ื”ืจื’ื™ืฉื™ื ื‘ืขื•ืœื ืฉืœื ื•
03:06
just hasn't been a priority for for-profit companies,
67
186786
2598
ืคื•ืฉื˜ ืœื ื”ื™ืชื” ื‘ืขื“ื™ืคื•ืช ืœื—ื‘ืจื•ืช ืขื‘ื•ืจ ืจื•ื•ื—,
03:09
whose business models typically rely on advertising and data sales.
68
189408
3847
ืฉื”ืžื•ื“ืœื™ื ื”ืขืกืงื™ื™ื ืžืกืชืžื›ื™ื ื‘ื“ืจืš ื›ืœืœ ืขืœ ืžื›ื™ืจืช ืคืจืกื•ื ื•ืžื™ื“ืข.
03:13
This leaves out the poorest communities
69
193789
1910
ื–ื” ืžืฉืื™ืจ ื‘ื—ื•ืฅ ืืช ื”ืงื”ื™ืœื•ืช ื”ื›ื™ ืขื ื™ื™ื•ืช
03:15
and means that individual aid organizations create maps
70
195723
2627
ื•ื–ื” ืื•ืžืจ ืฉืืจื’ื•ื ื™ ืกื™ื•ืข ื‘ื•ื“ื“ื™ื ื™ื•ืฆืจื™ื ืžืคื•ืช
03:18
for the small areas that they're working in
71
198374
2073
ืœืื–ื•ืจื™ื ืงื˜ื ื™ื ืฉื”ื ืขื•ื‘ื“ื™ื ื‘ื•
03:20
in offline systems which rapidly become out-of-date when a project ends.
72
200471
4776
ื‘ืžืขืจื›ื•ืช ืœื ืžืงื•ื•ื ื•ืช ืฉื”ื•ืคื›ื•ืช ื‘ืžื”ื™ืจื•ืช ืœืœื ืžืขื•ื“ื›ื ื•ืช ื›ืฉืคืจื•ื™ื™ืงื˜ ืžืกืชื™ื™ื.
03:25
So what we have here is a lack of easily shareable
73
205271
2661
ืื– ืžื” ืฉื™ืฉ ืœื ื• ืคื” ื”ื•ื ืžื—ืกื•ืจ ื‘ืžื™ื“ืข ืงืœ ืœืฉื™ืชื•ืฃ
03:27
and easily updatable data.
74
207956
1754
ื•ืงืœ ืœืขื“ื›ื•ืŸ.
03:30
But we also have a solution.
75
210139
1599
ืื‘ืœ ื™ืฉ ืœื ื• ื’ื ืคื™ืชืจื•ืŸ.
03:32
We map with a tool called OpenStreetMap,
76
212158
2066
ืื ื—ื ื• ืžืžืคื™ื ืขื ื›ืœื™ ืฉื ืงืจื ืžืคืช ืจื—ื•ื‘ื•ืช ืคืชื•ื—ื”,
03:34
which was founded in 2006
77
214248
1765
ืฉื ื•ืกื“ ื‘ 2006
03:36
and is a free, open-source tool which anyone can use to map the world.
78
216037
3485
ืฉื”ื•ื ื›ืœื™ ื—ื•ืคืฉื™, ื‘ืงื•ื“ ืคืชื•ื— ืฉื›ืœ ืื—ื“ ื™ื›ื•ืœ ืœื”ืฉืชืžืฉ ื‘ื• ื›ื“ื™ ืœืžืคื•ืช ืืช ื”ืขื•ืœื.
03:39
Just as anyone can read or edit an article on Wikipedia,
79
219998
3082
ื›ืžื• ืฉื›ืœ ืื—ื“ ื™ื›ื•ืœ ืœืงืจื•ื ืื• ืœืขืจื•ืš ืžืืžืจ ื‘ื•ื•ื™ืงื™ืคื“ื™ื”,
ื›ืœ ืื—ื“ ื™ื›ื•ืœ ืœื”ืฉืชืžืฉ ืื• ืœืขืจื•ืš ืืช ื”ืžืคื” ื‘ืžืคืช ื”ืจื—ื•ื‘ื•ืช ื”ืคืชื•ื—ื”,
03:43
anyone can use or edit the map in OpenStreetMap,
80
223104
2311
03:45
and the resulting map is public good,
81
225439
1785
ื•ื”ืžืคื” ืฉื ื•ืฆืจื” ื›ืชื•ืฆืื” ื”ื•ื ืจื›ื•ืฉ ื”ื›ืœืœ,
03:47
free and open for anyone to use,
82
227248
1602
ื—ื•ืคืฉื™ื” ื•ืคืชื•ื—ื” ืœืฉื™ืžื•ืฉ ืฉืœ ื›ืœ ืื—ื“,
03:48
creating one map for all of us.
83
228874
2270
ื™ื•ืฆืจื™ื ืžืคื” ืื—ืช ืœื›ื•ืœื ื•.
03:51
It works in two phases.
84
231168
1838
ื–ื” ืขื•ื‘ื“ ื‘ืฉื ื™ ืฉืœื‘ื™ื.
03:53
Buildings and roads might not be on the map yet,
85
233847
2278
ื‘ื ื™ื™ื ื™ื ื•ื›ื‘ื™ืฉื™ื ืื•ืœื™ ืœื ื™ื”ื™ื• ื‘ืžืคื” ืขื“ื™ื™ืŸ,
03:56
but you can see them clearly in satellite imagery.
86
236149
2439
ืื‘ืœ ืืชื ื™ื›ื•ืœื™ื ืœืจืื•ืช ืื•ืชื ื‘ื‘ืจื•ืจ ื‘ืชืžื•ื ื•ืช ืœื•ื•ื™ืŸ.
03:58
Volunteers working anywhere in the world turn satellite images into maps
87
238612
3709
ืžืชื ื“ื‘ื™ื ืขื•ื‘ื“ื™ื ื‘ื›ืœ ืžืงื•ื ื‘ืขื•ืœื ื”ื•ืคื›ื™ื ืชืžื•ื ื•ืช ืœื•ื•ื™ื™ืŸ ืœืžืคื•ืช
04:02
through drawing the buildings and roads
88
242345
1882
ื“ืจืš ืฆื™ื•ืจ ื”ื‘ื ื™ื™ื ื™ื ื•ื”ื›ื‘ื™ืฉื™ื
04:04
on top of them.
89
244251
1151
ืขืœื™ื™ื”ืŸ.
04:05
We call this a base map.
90
245426
1261
ืื ื—ื ื• ืงื•ืจืื™ื ืœื–ื” ืžืคืช ื‘ืกื™ืก.
04:07
On average, each time a volunteer logs in,
91
247354
2026
ื‘ืžืžื•ืฆืข, ื›ืœ ืคืขื ืฉืžืชื ื“ื‘ ื ื›ื ืก ืœืžืขืจื›ืช,
04:09
they map an area less than 10 kilometers squared,
92
249404
2562
ื”ื ืžืžืคื™ื ืื–ื•ืจ ื‘ืฉื˜ื— ืฉืœ ืคื—ื•ืช ืž 10 ืงื™ืœื•ืžื˜ืจ ืจื‘ื•ืขื™ื,
04:11
but add all those contributions together,
93
251990
1971
ืื‘ืœ ืชื•ืกื™ืคื• ืืช ื›ืœ ื”ืชืจื•ืžื•ืช ื”ืืœื• ื™ื—ื“,
04:13
and you can map entire cities in just a couple of days.
94
253985
2929
ื•ืืชื ื™ื›ื•ืœื™ื ืœืžืคื•ืช ืขืจื™ื ืฉืœืžื•ืช ืชื•ืš ืžืกืคืจ ื™ืžื™ื ื‘ืœื‘ื“.
04:17
And second, local mapping.
95
257936
2092
ื•ืฉื ื™ืช, ืžื™ืคื•ื™ ืžืงื•ืžื™.
04:20
People living and working in the places we're mapping
96
260447
2534
ืื ืฉื™ื ืฉื—ื™ื™ื ื•ืขื•ื‘ื“ื™ื ื‘ืžืงื•ืžื•ืช ืฉืื ื—ื ื• ืžืžืคื™ื
ืœื•ืงื—ื™ื ืืช ื”ืžืคื” ื”ื‘ืกื™ืกื™ืช ื”ื–ื• ื•ืฆื•ื‘ืขื™ื ืื•ืชื”,
04:23
take that base map and color it in,
97
263005
1892
04:24
for example, identifying: Is this building a school or a hospital?
98
264921
3804
ืœื“ื•ื’ืžื”, ื–ื™ื”ื•ื™: ื”ืื ื–ื” ื‘ื ื™ื™ืŸ ืฉืœ ื‘ื™ืช ืกืคืจ ืื• ื‘ื™ืช ื—ื•ืœื™ื?
04:29
Those people add information you can't see in a satellite image.
99
269125
3028
ื”ืื ืฉื™ื ื”ืืœื” ืžื•ืกื™ืคื™ื ืžื™ื“ืข ืฉืืชื ืœื ื™ื›ื•ืœื™ื ืœืจืื•ืช ืžืชืžื•ื ื•ืช ืœื•ื•ื™ืŸ.
04:32
We found people able and eager to map
100
272177
1831
ืื ื—ื ื• ืžื’ืœื™ื ืฉืื ืฉื™ื ืžืกื•ื’ืœื™ื ื•ืœื”ื•ื˜ื™ื ืœืžืคื•ืช
04:34
in even the most challenging situations worldwide,
101
274032
2373
ืืคื™ืœื• ื‘ืชื ืื™ื ื”ื›ื™ ืžืืชื’ืจื™ื ื‘ืขื•ืœื,
04:36
and we've optimized the tools to work on smartphones
102
276429
2468
ื•ืขืฉื™ื ื• ืื•ืคื˜ื™ืžื™ื–ืฆื™ื” ืœื›ืœื™ื ืœืขื‘ื•ื“ื” ืžื˜ืœืคื•ื ื™ื ื—ื›ืžื™ื
04:38
costing as little as 30 dollars.
103
278921
1886
ืฉืขื•ืœื™ื ืืคื™ืœื• ืจืง 30 ื“ื•ืœืจ.
04:40
Additionally, the tools work offline,
104
280831
1891
ื‘ื ื•ืกืฃ, ื”ื›ืœื™ื ืขื•ื‘ื“ื™ื ืœื ืžื—ื•ื‘ืจื™ื,
04:42
so people without regular access to cell service can still contribute,
105
282746
3631
ืื– ืื ืฉื™ื ื‘ืœื™ ื’ื™ืฉื” ืจื’ื™ืœื” ืœืฉืจื•ืช ืกืœื•ืœืจื™ ืขื“ื™ื™ืŸ ื™ื›ื•ืœื™ื ืœืชืจื•ื,
04:46
adding things to the map as they go about their daily lives,
106
286401
2860
ืžื•ืกื™ืคื™ื ืœืžืคื” ื“ื‘ืจื™ื ื›ืฉื”ื ืžืžืฉื™ื›ื™ื ื‘ื—ื™ื™ื”ื ื”ื™ื•ื ื™ื•ืžื™ื™ื,
04:49
and then uploading when they get access to cell service or WiFi.
107
289285
3241
ื•ืื– ืžืขืœื™ื ื›ืฉื”ื ืžืงื‘ืœื™ื ื’ื™ืฉื” ืœืฉืจื•ืช ืกืœื•ืœืจื™ ืื• ืจืฉืช ืืœื—ื•ื˜ื™ืช.
04:53
In 10 years, we've seen people from all walks of life take part.
108
293021
3540
ืชื•ืš 10 ืฉื ื™ื, ืจืื™ื ื• ืื ืฉื™ื ืžื›ืœ ืื•ืจื—ื•ืช ื”ื—ื™ื™ื ืœื•ืงื—ื™ื ื—ืœืง.
04:57
Refugees have mapped broken water points.
109
297022
2199
ืคืœื™ื˜ื™ื ืžื™ืคื• ืžืงื•ืจื•ืช ืžื™ื ื”ืจื•ืกื™ื.
04:59
Rural women have added place names in Indigenous languages.
110
299245
3498
ื ืฉื™ื ื›ืคืจื™ื•ืช ื”ื•ืกื™ืคื• ืฉืžื•ืช ื‘ืฉืคื•ืช ืžืงื•ืžื™ื•ืช.
05:02
And, in doing so, people become active agents of change
111
302767
3012
ื•ื‘ื›ืš, ืื ืฉื™ื ื”ืคื›ื• ืœืกื•ื›ื ื™ื ืคืขื™ืœื™ื ืฉืœ ืฉื™ื ื•ื™
05:05
in their communities.
112
305803
1658
ื‘ืงื”ื™ืœื•ืช ืฉืœื”ื.
05:07
Since 2010, HOT has engaged over 200,000 volunteers
113
307485
4676
ืžืื– 2010, HOT ื”ืคืขื™ืœื” ื™ื•ืชืจ ืž 200,000 ืžืชื ื“ื‘ื™ื
05:12
who have mapped an area home to more than 150 million people
114
312185
2990
ืฉืžื™ืคื• ืื–ื•ืจ ืฉื”ื•ื ื‘ื™ืช ืœื™ื•ืชืจ ืž 150 ืžืœื™ื•ืŸ ืื ืฉื™ื
ื‘ืคืจื•ื™ื™ืงื˜ ืžื™ืคื•ื™ ื”ืจื—ื•ื‘ื•ืช ื”ืคืชื•ื—.
05:15
in OpenStreetMap.
115
315199
1181
05:16
Those maps have been used by search and rescue operations
116
316404
2734
ื”ืžืคื•ืช ื”ืืœื• ื”ื™ื• ื‘ืฉื™ืžื•ืฉ ืขืœ ื™ื“ื™ ืฆื•ื•ืชื™ ื—ื™ืคื•ืฉ ื•ื”ืฆืœื”
05:19
to free hundreds of people trapped in collapsed buildings
117
319162
2699
ื›ื“ื™ ืœื”ืฆื™ืœ ืžืื•ืช ืื ืฉื™ื ืœื›ื•ื“ื™ื ื‘ื‘ื ื™ื™ื ื™ื ื”ืจื•ืกื™ื
05:21
after the 2010 Haiti earthquake.
118
321885
1801
ืื—ืจื™ ืจืขื™ื“ืช ื”ืื“ืžื” ื‘ื”ืื™ื˜ื™ ื‘ 2010.
05:23
They've been used to provide polio vaccinations to children
119
323710
2889
ื”ืŸ ื”ื™ื• ื‘ืฉื™ืžื•ืฉ ื›ื“ื™ ืœืกืคืง ื—ื™ืกื•ื ื™ ืคื•ืœื™ื• ืœื™ืœื“ื™ื
05:26
across all of rural Nigeria.
120
326623
1590
ื‘ืจื—ื‘ื™ ืื–ื•ืจื™ื ื›ืคืจื™ื™ื ื‘ื ื™ื’ืจื™ื”.
05:28
And they've mapped the camps, routes and new homes
121
328237
3019
ื•ื”ื ืžื™ืคื• ืืช ื”ืžื—ื ื•ืช, ื”ื“ืจื›ื™ื ื•ื‘ืชื™ื ื—ื“ืฉื™ื
05:31
of more than eight million refugees fleeing South Sudan, Syria and Venezuela.
122
331280
4978
ืฉืœ ื™ื•ืชืจ ืžืฉืžื•ื ื” ืžืœื™ื•ืŸ ืคืœื™ื˜ื™ื ืฉื‘ืจื—ื• ืžื“ืจื•ื ืกื•ื“ืืŸ, ืกื•ืจื™ื” ื•ื•ื ืฆื•ืืœื”.
05:36
We work with the biggest humanitarian organizations in the world
123
336282
3022
ืื ื—ื ื• ืขื•ื‘ื“ื™ื ืขื ื”ืืจื’ื•ื ื™ื ื”ื”ื•ืžื ื˜ืจื™ื™ื ื”ื›ื™ ื’ื“ื•ืœื™ื ื‘ืขื•ืœื
05:39
to make sure these maps have impact --
124
339328
1933
ืœื•ื•ื“ื ืฉืœืžืคื•ืช ื”ืืœื• ื™ืฉ ื”ืฉืคืขื” --
05:41
the Red Cross, Mรฉdecins Sans Frontiรจres, UNICEF to name a few --
125
341285
3390
ื”ืฆืœื‘ ื”ืื“ื•ื, ืจื•ืคืื™ื ืœืœื ื’ื‘ื•ืœื•ืช, ื™ื•ื ื™ืกืฃ ืื ืœืกืคืจ ืจืง ืขืœ ื›ืžื” --
05:44
and we currently have a queue of more than 2,000 places
126
344699
2617
ื•ื›ืจื’ืข ื™ืฉ ืœื ื• ืชื•ืจ ืฉืœ ื™ื•ืชืจ ืž 2,000 ืžืงื•ืžื•ืช
05:47
needing to be mapped.
127
347340
1335
ืฉืฆืจื™ื›ื™ื ืœื”ื™ื•ืช ืžืžื•ืคื™ื.
05:48
So that's the story so far.
128
348699
2720
ืื– ื–ื” ื”ืกื™ืคื•ืจ ืขื“ ืขื›ืฉื™ื•.
05:51
But wouldn't it be great if these places were on the map
129
351443
2654
ืื‘ืœ ื”ืื ื–ื” ืœื ื™ื”ื™ื” ื ืคืœื ืื ื”ืžืงื•ืžื•ืช ื”ืืœื• ื™ื”ื™ื• ืขืœ ื”ืžืคื”
05:54
before they were in crisis?
130
354121
1318
ืœืคื ื™ ืฉื”ื ื™ื”ื™ื• ื‘ืžืฉื‘ืจ?
05:55
Now we're ready for a step change.
131
355463
1789
ืขื›ืฉื™ื• ืื ื—ื ื• ืžื•ื›ื ื™ื ืœืฉื™ื ื•ื™ ืงืฆื‘.
05:57
Over the past few years,
132
357796
1378
ื‘ืžื”ืœืš ื”ืฉื ื™ื ื”ืื—ืจื•ื ื•ืช,
05:59
we've gained access to global, regularly updated satellite imagery.
133
359198
3658
ื”ืฉื’ื ื• ื’ื™ืฉื” ืœืชืžื•ื ื•ืช ืœื•ื•ื™ืŸ ื’ืœื•ื‘ืœื™ื•ืช ืฉืžืชืขื“ื›ื ื•ืช ื‘ืื•ืคืŸ ืจืฆื™ืฃ.
06:02
Machine learning and AI are helping human mappers
134
362880
2375
ืœืžื™ื“ืช ืžื›ื•ื ื” ื•ื‘ื™ื ื” ืžืœืื›ื•ืชื™ืช ืขื•ื–ืจื™ื ืœืžืžืคื™ื ืื ื•ืฉื™ื™ื
06:05
to work more efficiently.
135
365279
1308
ืœืขื‘ื•ื“ ื™ื•ืชืจ ื‘ื™ืขื™ืœื•ืช.
06:06
And worldwide, more and more people are willing and able
136
366942
3146
ื•ืžืกื‘ื™ื‘ ืœืขื•ืœื, ื™ื•ืชืจ ื•ื™ื•ืชืจ ืื ืฉื™ื ืžื•ื›ื ื™ื ื•ืžืกื•ื’ืœื™ื
06:10
to map their communities.
137
370112
1595
ืœืžืคื•ืช ืืช ื”ืงื”ื™ืœื•ืช ืฉืœื”ื.
06:12
Over the next five years,
138
372120
1480
ื‘ืžื”ืœืš ื—ืžืฉ ื”ืฉื ื™ื ื”ื‘ืื•ืช,
06:13
we'll engage one million volunteers who will map an area
139
373624
3364
ื ืคืขื™ืœ ืžืœื™ื•ืŸ ืžืชื ื“ื‘ื™ื ืฉื™ืžืคื• ืื™ื–ื•ืจ
ืฉื”ื•ื ื‘ื™ืช ืฉืœ ืžื™ืœื™ืืจื“ ืžื”ืื ืฉื™ื ื”ื›ื™ ืคื’ื™ืขื™ื
06:17
home to the one billion most vulnerable people
140
377012
2854
06:19
across 94 countries.
141
379890
1770
ื‘ 94 ืžื“ื™ื ื•ืช.
06:22
To achieve this,
142
382026
1165
ื›ื“ื™ ืœื”ืฉื™ื’ ืืช ื–ื”,
06:23
we need to do three things.
143
383215
1708
ืื ื—ื ื• ืฆืจื™ื›ื™ื ืœืขืฉื•ืช ืฉืœื•ืฉื” ื“ื‘ืจื™ื.
06:25
First, we need to grow our community to one million mappers,
144
385701
3295
ืจืืฉื™ืช, ืื ื—ื ื• ืฆืจื™ื›ื™ื ืœื”ื’ื“ื™ืœ ืืช ื”ืงื”ื™ืœื” ืฉืœื ื• ืœืžืœื™ื•ืŸ ืžืžืคื™ื,
06:29
who will build a world where everyone everywhere is represented.
145
389020
3592
ืฉื™ื‘ื ื• ืขื•ืœื ื‘ื• ื›ื•ืœื ื‘ื›ืœ ืžืงื•ื ืžื™ื•ืฆื’ื™ื.
06:33
We'll set up a network of regional hubs
146
393049
1891
ืื ื—ื ื• ื ืงื™ื ืจืฉืช ืฉืœ ืžืจื›ื–ื™ื ืื–ื•ืจื™ื™ื
06:34
to train and support those volunteers
147
394964
2281
ืœืืžืŸ ื•ืœืชืžื•ืš ื‘ืžืชื ื“ื‘ื™ื ื”ืืœื”
06:37
to map the vulnerable places in their own countries.
148
397269
2939
ื›ื“ื™ ืœืžืคื•ืช ืืช ื”ืžืงื•ืžื•ืช ื”ืคื’ื™ืขื™ื ื‘ืžื“ื™ื ื•ืช ืฉืœื”ื.
06:40
Second, we need to invest in technology.
149
400232
2689
ืฉื ื™ืช, ืื ื—ื ื• ืฆืจื™ื›ื™ื ืœื”ืฉืงื™ืข ื‘ื˜ื›ื ื•ืœื•ื’ื™ื”.
06:42
Right now, you can add something like a building or a local landmark
150
402945
3371
ืžืžืฉ ืขื›ืฉื™ื•, ืืชื ื™ื›ื•ืœื™ื ืœื”ื•ืกื™ืฃ ืžืฉื”ื• ื›ืžื• ื‘ื ื™ื™ื ื™ื ืื• ื ืงื•ื“ื•ืช ืฆื™ื•ืŸ ืžืงื•ืžื™ื•ืช
06:46
to the map in just a few seconds,
151
406340
1750
ืœืžืคื” ืชื•ืš ื›ืžื” ืฉื ื™ื•ืช,
06:48
but learning to map
152
408114
1251
ืื‘ืœ ืœืœืžื•ื“ ืœืžืคื•ืช
06:49
and mapping easily and quickly on a mobile
153
409389
2188
ื•ืžื™ืคื•ื™ ื‘ืงืœื•ืช ื•ื‘ืžื”ื™ืจื•ืช ืขืœ ื˜ืœืคื•ืŸ ื ื™ื™ื“
06:51
can be a problem.
154
411601
1183
ื™ื›ื•ืœ ืœื”ื™ื•ืช ื‘ืขื™ื™ืชื™.
06:53
We need to invest in technologies
155
413286
1869
ืื ื—ื ื• ืฆืจื™ื›ื™ื ืœื”ืฉืงื™ืข ื‘ื˜ื›ื ื•ืœื•ื’ื™ื•ืช
06:55
to make mobile edits to the map possible at a massive scale.
156
415179
3620
ืœื”ืคื•ืš ืขืจื™ื›ืช ืžืคื” ื‘ื ื™ื™ื“ ืœืืคืฉืจื™ืช ื‘ืงื ื” ืžื™ื“ื” ื’ื“ื•ืœ.
06:59
And third, we need to raise awareness.
157
419341
2501
ื•ืฉืœื™ืฉื™ืช, ืื ื—ื ื• ืฆืจื™ื›ื™ื ืœื”ืขืœื•ืช ืžื•ื“ืขื•ืช.
07:01
Aid projects across the world need to know
158
421866
2350
ืคืจื•ื™ื™ืงื˜ื™ ืกื™ื•ืข ื‘ืจื—ื‘ื™ ื”ืขื•ืœื ืฆืจื™ื›ื™ื ืœื“ืขืช
07:04
that these maps are free and available for them to use
159
424240
2897
ืฉื”ืžืคื•ืช ื”ืืœื• ื—ื™ื ืžื™ื•ืช ื•ื–ืžื™ื ื•ืช ืœืฉื™ืžื•ืฉ
07:07
and that they can request maps for the areas that they're working in.
160
427161
3563
ื•ืฉื”ื ื™ื›ื•ืœื™ื ืœื‘ืงืฉ ืžืคื•ืช ืœืื–ื•ืจื™ื ืฉื”ื ืขื•ื‘ื“ื™ื ื‘ื”ื.
07:10
For me, this is one of the most wonderful things about this project.
161
430748
3214
ื‘ืฉื‘ื™ืœื™, ื–ื” ืื—ื“ ืžื”ื“ื‘ืจื™ื ื”ื ืคืœืื™ื ื‘ื ื•ื’ืข ืœืคืจื•ื™ื™ืงื˜.
07:13
It isn't really about HOT or any single organization.
162
433986
2851
ื–ื” ืœื ื‘ืืžืช ื ื•ื’ืข ืœ HOT ืื• ืœื›ืœ ืืจื’ื•ืŸ ื‘ื•ื“ื“.
07:16
It's about creating a foundation
163
436861
1580
ื–ื” ื ื•ื’ืข ืœืœื™ืฆื•ืจ ื™ืกื•ื“ื•ืช
07:18
on which so many organizations will thrive.
164
438465
3090
ืขืœื™ื”ื ื›ืœ ื›ืš ื”ืจื‘ื” ืืจื’ื•ื ื™ื ื™ื›ื•ืœื™ื ืœืฉื’ืฉื’.
07:21
Whatever we do,
165
441992
1270
ืžื” ืฉืœื ื ืขืฉื”,
07:23
disasters and crises will still happen,
166
443286
2805
ืืกื•ื ื•ืช ื•ืžืฉื‘ืจื™ื ืขื“ื™ื™ืŸ ื™ืงืจื•,
07:26
and humanitarians will still respond to them.
167
446115
2886
ื•ื”ื•ืžื ื™ื˜ืจื™ื ื™ื ืกื• ืœื˜ืคืœ ื‘ื”ื.
07:29
Development programs will continue,
168
449413
1931
ืชื•ื›ื ื™ื•ืช ืคื™ืชื•ื— ื™ืžืฉื™ื›ื•,
07:31
but without maps, they'll lack critical information
169
451368
2414
ืื‘ืœ ื‘ืœื™ ืžืคื•ืช, ื™ื”ื™ื” ื—ืกืจ ืœื”ื ืžื™ื“ืข ื—ื™ื•ื ื™
07:33
about what to expect in the community before they get there.
170
453806
2830
ืขืœ ืžื” ืœืฆืคื•ืช ื‘ืงื”ื™ืœื•ืช ืœืคื ื™ ืฉื”ื ื™ื’ื™ืขื• ืœืฉื.
07:36
With open, free, up-to-date maps,
171
456660
2746
ืขื ืžืคื•ืช ื—ื•ืคืฉื™ื•ืช, ื—ื™ื ืžื™ื•ืช ื•ืžืขื•ื“ื›ื ื•ืช,
07:39
those programs will have more impact than they would do otherwise,
172
459430
3114
ืœืชื•ื›ื ื™ื•ืช ืชื”ื™ื” ื™ื•ืชืจ ื”ืฉืคืขื” ืžืฉื™ื”ื™ื• ืœื”ื ืื—ืจืช,
07:42
leading to a meaningful difference in lives saved or improved.
173
462568
3760
ืžื” ืฉืžื•ื‘ื™ืœ ืœื”ื‘ื“ืœ ืžืฉืžืขื•ืชื™ ื‘ื—ื™ื™ื ืฉื ื™ืฆืœื• ืื• ื”ืฉืชืคืจื•.
07:47
But it's so much more than that.
174
467279
2890
ืื‘ืœ ื–ื” ื›ืœ ื›ืš ื”ืจื‘ื” ื™ื•ืชืจ ืžื–ื”.
07:50
It's 2020, and one billion people in our world are not visible.
175
470704
4979
ื–ื” 2020, ื•ืžื™ืœื™ืืจื“ ืื ืฉื™ื ื‘ืขื•ืœื ืฉืœื ื• ื‘ืœืชื™ ื ืจืื™ื.
07:56
That's wrong.
176
476209
1324
ื–ื” ืฉื’ื•ื™.
07:57
This is a tool through which every citizen of Planet Earth
177
477940
2843
ื–ื” ื›ืœื™ ื“ืจื›ื• ื›ืœ ืื–ืจื— ืขืœ ื›ื“ื•ืจ ื”ืืจืฅ
08:00
can become known and seen,
178
480807
1872
ื™ื›ื•ืœ ืœื”ืคื•ืš ืœืžื•ื›ืจ ื•ื ืจืื”,
08:02
to literally be put on the map.
179
482703
2100
ืžืžืฉ ืœื”ื™ื•ืช ืขืœ ื”ืžืคื”.
08:05
My peers complain about being too overconnected,
180
485263
2523
ื”ืขืžื™ืชื™ื ืฉืœื™ ืžืชืœื•ื ื ื™ื ื‘ื ื•ื’ืข ืœืœื”ื™ื•ืช ื™ื•ืชืจ ืžื“ื™ ืžื—ื•ื‘ืจื™ื,
08:07
so how can it be possible for more than a billion people
181
487810
2638
ืื– ืื™ืš ื–ื” ื™ื›ื•ืœ ืœื”ื™ื•ืช ืืคืฉืจื™ ืœื™ื•ืชืจ ืžืžื™ืœื™ืืจื“ ืื ืฉื™ื
08:10
to remain invisible?
182
490472
1251
ืœื”ืฉืืจ ื‘ืœืชื™ ื ืจืื™ื?
08:11
Luckily, this is a problem even the laziest among us
183
491747
2875
ืœืžืจื‘ื” ื”ืžื–ืœ, ื–ื• ื‘ืขื™ื” ืฉืืคื™ืœื• ื”ืขืฆืœื ื™ื ื‘ื™ื ื™ื™ื ื•
08:14
can help to solve.
184
494646
1439
ื™ื›ื•ืœื™ื ืœืขื–ื•ืจ ืœืคืชื•ืจ.
08:16
If you can swipe left or right,
185
496109
2368
ืื ืืชื ื™ื›ื•ืœื™ื ืœื”ื—ืœื™ืง ืฉืžืืœื” ืื• ื™ืžื™ื ื”,
08:18
you can help.
186
498501
1170
ืืชื ื™ื›ื•ืœื™ื ืœืขื–ื•ืจ.
08:20
Map this morning
187
500235
1181
ืžืคื• ื”ื‘ื•ืงืจ
08:21
and influence life-changing decisions this afternoon.
188
501440
3014
ื•ื”ืฉืคื™ืขื• ืขืœ ื”ื—ืœื˜ื•ืช ืžืฉื ื•ืช ื—ื™ื™ื ืื—ืจื™ ื”ืฆื”ืจื™ื.
08:24
Frontline health workers and humanitarians are literally waiting for you.
189
504478
4253
ืขื•ื‘ื“ื™ ืจืคื•ืื” ื‘ืงื• ื”ืจืืฉื•ืŸ ื•ื”ื•ืžื ื™ื˜ืจื™ื ืžืžืฉ ืžื—ื›ื™ื ืœื›ื.
08:29
Thank you.
190
509155
1218
ืชื•ื“ื” ืœื›ื.
ืขืœ ืืชืจ ื–ื”

ืืชืจ ื–ื” ื™ืฆื™ื’ ื‘ืคื ื™ื›ื ืกืจื˜ื•ื ื™ YouTube ื”ืžื•ืขื™ืœื™ื ืœืœื™ืžื•ื“ ืื ื’ืœื™ืช. ืชื•ื›ืœื• ืœืจืื•ืช ืฉื™ืขื•ืจื™ ืื ื’ืœื™ืช ื”ืžื•ืขื‘ืจื™ื ืขืœ ื™ื“ื™ ืžื•ืจื™ื ืžื”ืฉื•ืจื” ื”ืจืืฉื•ื ื” ืžืจื—ื‘ื™ ื”ืขื•ืœื. ืœื—ืฅ ืคืขืžื™ื™ื ืขืœ ื”ื›ืชื•ื‘ื™ื•ืช ื‘ืื ื’ืœื™ืช ื”ืžื•ืฆื’ื•ืช ื‘ื›ืœ ื“ืฃ ื•ื™ื“ืื• ื›ื“ื™ ืœื”ืคืขื™ืœ ืืช ื”ืกืจื˜ื•ืŸ ืžืฉื. ื”ื›ืชื•ื‘ื™ื•ืช ื’ื•ืœืœื•ืช ื‘ืกื ื›ืจื•ืŸ ืขื ื”ืคืขืœืช ื”ื•ื•ื™ื“ืื•. ืื ื™ืฉ ืœืš ื”ืขืจื•ืช ืื• ื‘ืงืฉื•ืช, ืื ื ืฆื•ืจ ืื™ืชื ื• ืงืฉืจ ื‘ืืžืฆืขื•ืช ื˜ื•ืคืก ื™ืฆื™ืจืช ืงืฉืจ ื–ื”.

https://forms.gle/WvT1wiN1qDtmnspy7