TEDIndia 2009
Lalitesh Katragadda: Making maps to fight disaster, build economies
Laliteš Katragada: Pravljenjem mapa boriti se protiv prirodnih katastrofa i graditi ekonomiju
Filmed:
Readability: 4.5
405,132 views
Do 2005. godine samo 15% sveta je bilo mapirano. Odsustvo mapa usporava dostavljanje pomoći posle prirodnih katastrofa i sakriva ekonomski potencijal u vidu neiskorišćene zemlje i nepoznatih puteva. U ovom kratkom predavanju, Laliteš Katragada iz Google-a prikazuje demo verziju Map Maker-a, programa kojem može da pristupa veliki broj korisnika iz celog sveta koji ga koriste za mapiranje delova sveta koji su im poznati.
Lalitesh Katragadda - Engineer
Lalitesh Katragadda builds tools that help groups of people compile information to build something greater than the sum of its parts. His latest fascination: collaborative maps. Full bio
Lalitesh Katragadda builds tools that help groups of people compile information to build something greater than the sum of its parts. His latest fascination: collaborative maps. Full bio
Double-click the English transcript below to play the video.
00:16
In 2008, Cyclone Nargis devastated Myanmar.
0
1000
5000
Ciklon Nargis je 2008. godine opustošio Mjanmar.
00:21
Millions of people were in severe need of help.
1
6000
4000
Milionima ljudi je trebalo puno pomoći.
00:25
The U.N. wanted to rush people and supplies to the area.
2
10000
4000
UN su htele da što pre pošalju ljude i namirnice u oblast,
00:29
But there were no maps, no maps of roads,
3
14000
3000
ali nije bilo mapa, mapa puteva,
00:32
no maps showing hospitals, no way for help to reach the cyclone victims.
4
17000
5000
mapa sa položajima bolnica, nije bilo načina da pomoć stigne žrtvama ciklona.
00:37
When we look at a map of Los Angeles or London,
5
22000
3000
Kada pogledamo mape Los Anđelesa ili Londona
00:40
it is hard to believe
6
25000
3000
teško je poverovati da je do 2005.
00:43
that as of 2005, only 15 percent of the world
7
28000
3000
samo 15% površine sveta mapirano
00:46
was mapped to a geo-codable level of detail.
8
31000
3000
sa geokodabilnim nivoom detalja.
00:49
The U.N. ran headfirst into a problem
9
34000
3000
UN su uletele pravo u problem sa kojim se
00:52
that the majority of the world's populous faces:
10
37000
2000
većina svetske populacije sreće:
00:54
not having detailed maps.
11
39000
2000
nepostojanje detaljnih mapa.
00:56
But help was coming.
12
41000
2000
Ipak, pomoć je bila na putu.
00:58
At Google, 40 volunteers
13
43000
2000
U Google-u je 40 dobrovoljaca
01:00
used a new software
14
45000
3000
koristeći novi softver
01:03
to map 120,000 kilometers of roads,
15
48000
3000
mapiralo 120 000 kilometara puteva,
01:06
3,000 hospitals, logistics and relief points.
16
51000
3000
3 000 bolnica, logističke i centre za pomoć žrtvama.
01:09
And it took them four days.
17
54000
2000
Trebalo im je četiri dana.
01:11
The new software they used? Google Mapmaker.
18
56000
3000
Novi softver koji su koristili? Google Map Maker.
01:14
Google Mapmaker is a technology that empowers each of us
19
59000
3000
Google Map Maker je tehnologija koja omogućava svakome
01:17
to map what we know locally.
20
62000
3000
da mapira lokalno područje koje poznaje.
01:20
People have used this software
21
65000
2000
Ljudi su koristili ovaj softver
01:22
to map everything from roads to rivers,
22
67000
2000
za mapiranje svega, od puteva do reka,
01:24
from schools to local businesses,
23
69000
3000
od škola do lokalnih poslovnih objekata,
01:27
and video stores to the corner store.
24
72000
3000
od videoteka do prodavnica na ćošku.
01:30
Maps matter.
25
75000
2000
Mape su bitne.
01:32
Nobel Prize nominee Hernando De Soto
26
77000
2000
Ernando De Soto, nominovan za Nobelovu nagradu,
01:34
recognized that the key to economic liftoff
27
79000
2000
ističe da je ključ ekonomskog razvoja
01:36
for most developing countries
28
81000
2000
za većinu zemalja u razvoju
01:38
is to tap the vast amounts of uncapitalized land.
29
83000
3000
upotreba ogromnih prostranstava neiskorišćene zemlje.
01:41
For example, a trillion dollars
30
86000
3000
Na primer, trilion dolara (hiljadu milijardi)
01:44
of real estate remains uncapitalized in India alone.
31
89000
3000
vredne nekretnine ostaju neiskorišćene, samo u Indiji.
01:47
In the last year alone,
32
92000
2000
Samo tokom prethodne godine
01:49
thousands of users in 170 countries
33
94000
4000
hiljade korisnika iz 170 zemalja
01:53
have mapped millions of pieces of information,
34
98000
3000
je mapiralo milione informacija i stvorilo mapu
01:56
and created a map of a level of detail never thought viable.
35
101000
3000
toliko detaljnu da je to ranije bilo nezamislivo.
01:59
And this was made possible by
36
104000
2000
To je postalo moguće
02:01
the power of passionate users everywhere.
37
106000
4000
zahvaljujući strastvenim ljudima iz celog sveta.
02:05
Let's look at some of the maps
38
110000
3000
Pogledajmo neke mape
02:08
being created by users right now.
39
113000
3000
koje korisnici stvaraju upravo u ovom trenutku.
02:11
So, as we speak, people are mapping the world
40
116000
2000
Dakle, dok govorimo ljudi mapiraju svet
02:13
in these 170 countries.
41
118000
2000
u pomenutih 170 zemalja.
02:15
You can see Bridget in Africa who just mapped a road in Senegal.
42
120000
6000
Vidite, Bridžet iz Afrike je upravo mapirala put u Senegalu.
02:21
And, closer to home, Chalua, an N.G. road in Bangalore.
43
126000
5000
Bliže kući, Čalua je mapirao N.G. put u Bangaloru.
02:26
This is the result of computational geometry,
44
131000
3000
Ovo je rezultat algoritama komputacione geometrije,
02:29
gesture recognition, and machine learning.
45
134000
3000
prepoznavanja pokreta i mašinskog učenja.
02:32
This is a victory of thousands of users,
46
137000
2000
Ovo je pobeda hiljada korisnika
02:34
in hundreds of cities,
47
139000
2000
u stotinama gradova,
02:36
one user, one edit at a time.
48
141000
2000
jedan korisnik, jedna po jedna izmena.
02:38
This is an invitation to the 70 percent
49
143000
4000
Ovo je poziv upućen ka 70% planete
02:42
of our unmapped planet.
50
147000
2000
koji još nisu mapirani.
02:44
Welcome to the new world.
51
149000
2000
Dobrodošli u novi svet.
02:46
(Applause)
52
151000
3000
(Aplauz)
ABOUT THE SPEAKER
Lalitesh Katragadda - EngineerLalitesh Katragadda builds tools that help groups of people compile information to build something greater than the sum of its parts. His latest fascination: collaborative maps.
Why you should listen
Lalitesh Katragadda is a software engineer at Google, working on geo-data, machine vision, machine learning and space robotics. Before joining Google, Lalitesh founded a robotics startup that was acquired by Google. At Google, Lalitesh co-founded Google India and was its founding Joint Center Head for two years. He co-started several projects including Google Finance and Hindi Transliteration, and is now working on maps.
Lalitesh Katragadda | Speaker | TED.com