ABOUT THE SPEAKER
Jeff Kirschner - Entrepreneur
Jeff Kirschner created a global community that's eradicating litter one piece at a time.

Why you should listen

When his 4-year old daughter saw a plastic tub of cat litter in the woods, little did Jeff Kirschner realize that it would be the spark for creating Litterati -- a global movement that's "crowdsource-cleaning" the planet one piece of litter at a time. 

Featured in National Geographic, Time Magazine, Fast Company and USA Today, Litterati has become a shining example of how communities are using technology and data to solve our world's most complex problems. 

Kirschner has shared the Litterati story at Fortune 500 companies such as Google, Facebook and Uber, keynoted environmental summits at the Monterey Bay Aquarium and Keep America Beautiful, as well as leading schools including Stanford, MIT and the University of Michigan. He was recently a TED Resident, where he developed Litterati into an idea worth spreading.

More profile about the speaker
Jeff Kirschner | Speaker | TED.com
TED Residency

Jeff Kirschner: This app makes it fun to pick up litter

傑夫·克爾施納: 這款行動應用程式,讓撿垃圾變得有趣

Filmed:
1,385,758 views

地球之大,環境保護必須落實。透過 Litterati -- 一個提供使用者,將全世界的垃圾進行辨識、收集、標記位置的行動應用程式,TED 演講者傑夫·克爾施納創造了一個以「群眾外包」來清理地球的社群。追蹤了一百多個國家的垃圾之後,克爾施納希望利用這些數據,與業者及民間組織共同合作,以減少垃圾被丟棄。
- Entrepreneur
Jeff Kirschner created a global community that's eradicating litter one piece at a time. Full bio

Double-click the English transcript below to play the video.

00:13
This story故事 starts啟動 with these two --
0
1015
2993
故事是從這兩位開始的──
我的孩子們。
00:16
my kids孩子.
1
4032
1258
00:17
We were hiking徒步旅行 in the Oakland奧克蘭 woods樹木
2
5314
1682
當時我們在奧克蘭森林健行,
00:19
when my daughter女兒 noticed注意到
a plastic塑料 tub of cat litter in a creek.
3
7020
4134
我的女兒發現河裡有個塑膠貓砂盆。
00:23
She looked看著 at me and said,
4
11647
1662
她看著我說:
00:25
"Daddy?
5
13333
2507
「爸比?」
00:27
That doesn't go there."
6
15864
1650
「這不應該在這裡。」
00:29
When she said that,
it reminded提醒 me of summer夏季 camp.
7
17538
2422
這句話讓我聯想到夏令營。
00:31
On the morning早上 of visiting訪問 day,
8
19984
1498
在開放家長參觀日的早上,
00:33
right before they'd他們會 let our anxious
parents父母 come barreling橫衝直撞 through通過 the gates,
9
21506
3663
在著急的家長來到營地門口之前,
營地指揮官會說:
00:37
our camp director導向器 would say,
10
25193
1369
「快!每個人要撿 5 件垃圾。」
00:38
"Quick! Everyone大家 pick up
five pieces of litter."
11
26586
2309
00:40
You get a couple一對 hundred kids孩子
each picking選擇 up five pieces,
12
28919
3040
幾百位孩子,每個人撿 5 件垃圾,
00:43
and pretty漂亮 soon不久, you've got
a much cleaner清潔器 camp.
13
31983
2573
很快的,營區變得乾淨許多。
00:46
So I thought,
14
34580
1159
於是我在想,
00:47
why not apply應用 that crowdsourced眾包
cleanup清理 model模型 to the entire整個 planet行星?
15
35763
4537
為何不將這種「群眾外包」的
清理方式套用在整個地球上?
00:52
And that was the inspiration靈感
for LitteratiLitterati.
16
40324
2951
這就是 "Litterati"
愛垃圾活動的起源。
00:55
The vision視力 is to create創建
a litter-free垃圾無 world世界.
17
43299
3349
目的是創造「零垃圾」的世界。
00:58
Let me show顯示 you how it started開始.
18
46672
1508
事情是這樣開始的:
01:00
I took a picture圖片 of a cigarette香煙
using運用 InstagramInstagram的.
19
48204
3386
我用 Instagram 拍了張香煙的照片,
01:04
Then I took another另一個 photo照片 ...
20
52222
1867
再拍另一張照片……
再一張……
01:06
and another另一個 photo照片 ...
21
54113
1557
又一張。
01:07
and another另一個 photo照片.
22
55694
1167
01:08
And I noticed注意到 two things:
23
56885
1286
我注意到兩件事:
01:10
one, litter became成為 artistic藝術的
and approachable親切;
24
58195
3472
第一,垃圾變得更有藝術感,
也更容易親近。
01:14
and two,
25
62244
1151
第二,
經過幾天之後,
我總共拍了 50 張照片,
01:15
at the end結束 of a few少數 days,
I had 50 photos相片 on my phone電話
26
63419
2515
每張照片都是我所撿的垃圾,
01:17
and I had picked採摘的 up each piece,
27
65958
1587
01:19
and I realized實現 that I was keeping保持 a record記錄
28
67569
2385
我發現我正在紀錄著
01:21
of the positive impact碰撞
I was having on the planet行星.
29
69978
3151
我對於地球的正面影響。
01:25
That's 50 less things that you might威力 see,
30
73153
2188
減少的這 50 件垃圾,
可能是你會看到的、
01:27
or you might威力 step on,
31
75365
1243
你可能踩到的、
01:28
or some bird might威力 eat.
32
76632
1458
甚至是某些鳥類可能誤食的。
01:30
So I started開始 telling告訴 people
what I was doing,
33
78769
2652
因此我開始向大家說明
我正在做的事,
01:33
and they started開始 participating參與.
34
81445
2356
而大家也跟著參與。
01:36
One day,
35
84831
1693
有一天,
01:38
this photo照片 showed顯示 up from China中國.
36
86548
2528
在中國出現了這張照片。
01:42
And that's when I realized實現
37
90039
1271
當時我意識到,
01:43
that LitteratiLitterati was more
than just pretty漂亮 pictures圖片;
38
91334
3266
Litterati 不是只有漂亮的照片而已,
01:46
we were becoming變得 a community社區
that was collecting蒐集 data數據.
39
94624
3369
我們漸漸形成一個
收集資料的社群。
01:50
Each photo照片 tells告訴 a story故事.
40
98869
1890
每張照片背後都有一個故事,
01:53
It tells告訴 us who picked採摘的 up what,
41
101279
2193
包括誰撿了什麼垃圾、
01:55
a geotag地理標記 tells告訴 us where
42
103496
2011
在哪裡撿的、
01:57
and a time stamp郵票 tells告訴 us when.
43
105531
2030
以及什麼時候撿的。
因此我做了一張 Google 地圖,
02:00
So I built內置 a Google谷歌 map地圖,
44
108006
2429
02:02
and started開始 plotting繪製 the points
where pieces were being存在 picked採摘的 up.
45
110459
4053
開始標示出垃圾被檢起的地點。
02:06
And through通過 that process處理,
the community社區 grew成長
46
114536
3918
隨著這個過程,社群逐漸擴大了,
02:10
and the data數據 grew成長.
47
118478
1639
資料也增加了。
02:12
My two kids孩子 go to school學校
right in that bullseye靶心.
48
120806
3461
地圖中間的區域,
就是我家小孩就讀的學校。
02:17
Litter:
49
125125
1211
垃圾:
02:18
it's blending混紡 into
the background背景 of our lives生活.
50
126360
2704
正悄悄與我們共存。
但如果我們將它放大檢視?
02:21
But what if we brought it
to the forefront第一線?
51
129088
2099
02:23
What if we understood了解 exactly究竟
what was on our streets街道,
52
131211
2912
如果我們能注意到街道上、
人行道上和校園裡有什麼垃圾,
02:26
our sidewalks人行道
53
134147
1389
02:27
and our school學校 yards?
54
135560
1538
將會變得如何?
02:29
How might威力 we use that data數據
to make a difference區別?
55
137122
3247
我們要如何利用數據改變現況?
02:33
Well, let me show顯示 you.
56
141189
1198
好,讓我來告訴你們。
02:34
The first is with cities城市.
57
142411
1385
首先,將數據與城市結合。
02:36
San Francisco弗朗西斯科 wanted to understand理解
what percentage百分比 of litter was cigarettes香煙.
58
144418
4639
舊金山想知道垃圾之中
有多少比例是煙蒂。
02:41
Why?
59
149081
1162
為什麼?
02:42
To create創建 a tax.
60
150267
1209
為了增加一種稅收。
02:44
So they put a couple一對 of people
in the streets街道
61
152073
2135
他們請人到街道上,
帶著筆與寫字板,
02:46
with pencils鉛筆 and clipboards剪貼板,
62
154232
1361
到處收集資料,
02:47
who walked around collecting蒐集 information信息
63
155617
2063
02:49
which哪一個 led to a 20-cent-cent tax
on all cigarette香煙 sales銷售.
64
157704
3111
並決定販售香菸時,
每包收 20 美分的稅。
02:53
And then they got sued起訴
65
161787
2153
然後他們被大型菸草業者控告,
02:55
by big tobacco煙草,
66
163964
1176
02:57
who claimed聲稱 that collecting蒐集 information信息
with pencils鉛筆 and clipboards剪貼板
67
165164
3216
業者主張,用紙筆收集資料的方式,
既不準確也不可靠。
03:00
is neither也不 precise精確 nor也不 provable可證.
68
168404
2331
03:03
The city called me and asked
if our technology技術 could help.
69
171454
3680
市政府找上我,
希望我們的技術能提供協助。
03:07
I'm not sure they realized實現
70
175158
1249
我不確定他們是否知道:
03:08
that our technology技術
was my InstagramInstagram的 account帳戶 --
71
176431
2248
我們的技術就是
我的 Instagram 帳號。
03:10
(Laughter笑聲)
72
178703
1039
(笑聲)
但我說:「是的,當然可以!」
03:11
But I said, "Yes, we can."
73
179766
1266
03:13
(Laughter笑聲)
74
181056
1016
(笑聲)
03:14
"And we can tell you
if that's a Parliament議會 or a Pall頗爾 Mall購物中心.
75
182096
3908
「我們還能分辨香菸的牌子
是百樂門或是寶馬。
03:18
Plus, every一切 photograph照片
is geotagged地理標記 and time-stamped時間戳,
76
186028
3425
而且,每張照片
還能標示位置及時間,
03:21
providing提供 you with proof證明."
77
189477
1381
提供給你們作為證據。」
03:23
Four days and 5,000 pieces later後來,
78
191839
3220
經過 4 天,撿了 5,000 件垃圾之後,
03:27
our data數據 was used in court法庭
to not only defend保衛 but double the tax,
79
195083
4938
我們的資料在開庭時被採納,
不僅捍衛了我方的主張,
還讓稅收增加一倍,
03:32
generating發電 an annual全年 recurring經常性 revenue收入
of four million百萬 dollars美元
80
200045
4323
產生每年四百萬美金的經常性收入,
而且舊金山街道也變得更乾淨了。
03:36
for San Francisco弗朗西斯科 to clean清潔 itself本身 up.
81
204392
2295
03:40
Now, during that process處理
I learned學到了 two things:
82
208001
2235
從這個過程中,我學到兩件事:
第一,Instagram
並不是適當的工具──
03:42
one, InstagramInstagram的 is not the right tool工具 --
83
210260
2554
03:44
(Laughter笑聲)
84
212838
1031
(笑聲)
因此,我們研發了專屬的應用程式。
03:45
so we built內置 an app應用.
85
213893
1503
03:47
And two, if you think about it,
86
215420
1633
第二,如果你試著想一想,
在世界上每座城市,
都有獨特的垃圾指紋,
03:49
every一切 city in the world世界
has a unique獨特 litter fingerprint指紋,
87
217077
3617
03:52
and that fingerprint指紋 provides提供
both the source資源 of the problem問題
88
220718
3836
而這些指紋不僅可以
提供問題的根源,
03:56
and the path路徑 to the solution.
89
224578
1921
還能告訴你解決的方法。
03:59
If you could generate生成 a revenue收入 stream
90
227646
2378
如果能藉由瞭解煙蒂的比例
04:02
just by understanding理解
the percentage百分比 of cigarettes香煙,
91
230048
2463
來增加收益來源,
04:04
well, what about coffee咖啡 cups
92
232535
2096
那如果用在咖啡紙杯、
04:06
or soda蘇打 cans
93
234655
1706
汽水罐,
04:08
or plastic塑料 bottles瓶子?
94
236385
1414
或是塑膠瓶呢?
04:10
If you could fingerprint指紋 San Francisco弗朗西斯科,
well, how about Oakland奧克蘭
95
238501
3201
如果能找出舊金山的垃圾指紋,
那奧克蘭呢?
04:13
or Amsterdam阿姆斯特丹
96
241726
1696
阿姆斯特丹?
04:15
or somewhere某處 much closer接近 to home?
97
243446
2970
或是某個離家更近的地方?
04:19
And what about brands品牌?
98
247408
1234
另外如果用在品牌上呢?
04:20
How might威力 they use this data數據
99
248666
1901
要如何利用數據,
04:22
to align對齊 their environmental環境的
and economic經濟 interests利益?
100
250591
4212
使環保和經濟的效益達到一致?
04:27
There's a block in downtown市中心 Oakland奧克蘭
that's covered覆蓋 in blight枯萎病.
101
255646
3212
在奧克蘭市區,有一個荒廢的區域,
04:31
The LitteratiLitterati community社區 got together一起
and picked採摘的 up 1,500 pieces.
102
259325
4104
Litterati 社群在那裡撿了
1,500 件垃圾,
我們從當中得知一件事:
04:35
And here's這裡的 what we learned學到了:
103
263812
1340
04:37
most of that litter came來了
from a very well-known知名 taco塔科 brand.
104
265176
3210
大部分的垃圾來自於
某間知名的墨西哥餐廳。
04:41
Most of that brand's品牌 litter
were their own擁有 hot sauce packets,
105
269738
3577
其中大部分的垃圾
是餐廳的辣椒醬包,
04:46
and most of those hot sauce packets
hadn't有沒有 even been opened打開.
106
274438
3626
而且這些辣椒醬包
幾乎都沒被打開過。
04:51
The problem問題 and the path路徑
to the solution --
107
279965
2715
所以這個問題的解決方法是──
04:54
well, maybe that brand only
gives out hot sauce upon request請求
108
282704
3961
也許餐廳可以在
客人要求時才給醬包,
04:58
or installs安裝 bulk dispensers掌櫃
109
286689
2009
或是安裝自助式醬料機,
05:00
or comes up with more
sustainable可持續發展 packaging打包.
110
288722
2552
或是研發更環保的包裝方式。
05:03
How does a brand take
an environmental環境的 hazard冒險,
111
291298
2969
業者要如何將環境危害,
05:06
turn it into an economic經濟 engine發動機
112
294291
2006
轉變成經濟上的驅動力,
05:08
and become成為 an industry行業 hero英雄?
113
296321
1768
並成為產業的領導品牌?
05:11
If you really want to create創建 change更改,
114
299292
2202
如果你真的想要改變,
05:13
there's no better place地點 to start開始
than with our kids孩子.
115
301518
2874
最好的方法就是從孩子開始。
05:16
A group of fifth第五 graders平地機 picked採摘的 up
1,247 pieces of litter
116
304416
3403
有一群國小五年級學生
在校園裡撿了 1,247 件垃圾。
05:19
just on their school學校 yard.
117
307843
1848
05:21
And they learned學到了 that the most
common共同 type類型 of litter
118
309715
2532
他們發現最常見的垃圾,
是來自學校餐廳的吸管塑膠外套。
05:24
were the plastic塑料 straw稻草 wrappers包裝
from their own擁有 cafeteria自助餐館.
119
312271
3234
05:27
So these kids孩子 went
to their principal主要 and asked,
120
315947
2529
於是這群孩子們去問校長:
05:30
"Why are we still buying購買 straws秸稈?"
121
318500
1660
「為什麼我們還要採購吸管呢?」
05:33
And they stopped停止.
122
321166
1755
然後他們停止提供吸管了。
05:34
And they learned學到了 that individually個別地
they could each make a difference區別,
123
322945
3654
他們學習到,靠個人的力量
固然能帶來一些改變,
05:38
but together一起 they created創建 an impact碰撞.
124
326623
2338
但是當一群人聚集起來,
才能產生影響。
05:41
It doesn't matter
if you're a student學生 or a scientist科學家,
125
329503
4012
無論你是學生還是科學家,
05:45
whether是否 you live生活 in Honolulu檀香山 or Hanoi河內,
126
333539
3135
住在夏威夷的檀香山,
還是越南的河內市,
05:48
this is a community社區 for everyone大家.
127
336698
2441
Litterati 社群是屬於每個人的。
05:51
It started開始 because of two little kids孩子
in the Northern北方 California加州 woods樹木,
128
339974
4679
它起源於兩個小毛頭
在北加州森林的發現,
到了今天,範圍已遍佈全球各地。
05:56
and today今天 it's spread傳播 across橫過 the world世界.
129
344677
2814
05:59
And you know how we're getting得到 there?
130
347938
1783
我們是如何辦到的?
只要隨手撿起垃圾。
06:02
One piece at a time.
131
350067
1878
06:04
Thank you.
132
352508
1215
謝謝。
06:05
(Applause掌聲)
133
353747
3618
(掌聲)
Translated by 羽嬿 黃
Reviewed by Ting-Chih Liang

▲Back to top

ABOUT THE SPEAKER
Jeff Kirschner - Entrepreneur
Jeff Kirschner created a global community that's eradicating litter one piece at a time.

Why you should listen

When his 4-year old daughter saw a plastic tub of cat litter in the woods, little did Jeff Kirschner realize that it would be the spark for creating Litterati -- a global movement that's "crowdsource-cleaning" the planet one piece of litter at a time. 

Featured in National Geographic, Time Magazine, Fast Company and USA Today, Litterati has become a shining example of how communities are using technology and data to solve our world's most complex problems. 

Kirschner has shared the Litterati story at Fortune 500 companies such as Google, Facebook and Uber, keynoted environmental summits at the Monterey Bay Aquarium and Keep America Beautiful, as well as leading schools including Stanford, MIT and the University of Michigan. He was recently a TED Resident, where he developed Litterati into an idea worth spreading.

More profile about the speaker
Jeff Kirschner | Speaker | TED.com

Data provided by TED.

This site was created in May 2015 and the last update was on January 12, 2020. It will no longer be updated.

We are currently creating a new site called "eng.lish.video" and would be grateful if you could access it.

If you have any questions or suggestions, please feel free to write comments in your language on the contact form.

Privacy Policy

Developer's Blog

Buy Me A Coffee