Return to Video

This app makes it fun to pick up litter

  • 0:01 - 0:04
    This story starts with these two --
  • 0:04 - 0:05
    my kids.
  • 0:05 - 0:07
    We were hiking in the Oakland woods
  • 0:07 - 0:11
    when my daughter noticed
    a plastic tub of cat litter in a creek.
  • 0:12 - 0:13
    She looked at me and said,
  • 0:13 - 0:16
    "Daddy?
  • 0:16 - 0:18
    That doesn't go there."
  • 0:18 - 0:20
    When she said that,
    it reminded me of summer camp.
  • 0:20 - 0:21
    On the morning of visiting day,
  • 0:22 - 0:25
    right before they'd let our anxious
    parents come barreling through the gates,
  • 0:25 - 0:27
    our camp director would say,
  • 0:27 - 0:29
    "Quick! Everyone pick up
    five pieces of litter."
  • 0:29 - 0:32
    You get a couple hundred kids
    each picking up five pieces,
  • 0:32 - 0:35
    and pretty soon, you've got
    a much cleaner camp.
  • 0:35 - 0:36
    So I thought,
  • 0:36 - 0:40
    why not apply that crowdsourced
    cleanup model to the entire planet?
  • 0:40 - 0:43
    And that was the inspiration
    for Litterati.
  • 0:43 - 0:47
    The vision is to create
    a litter-free world.
  • 0:47 - 0:48
    Let me show you how it started.
  • 0:48 - 0:52
    I took a picture of a cigarette
    using Instagram.
  • 0:52 - 0:54
    Then I took another photo ...
  • 0:54 - 0:56
    and another photo ...
  • 0:56 - 0:57
    and another photo.
  • 0:57 - 0:58
    And I noticed two things:
  • 0:58 - 1:02
    one, litter became artistic
    and approachable;
  • 1:02 - 1:03
    and two,
  • 1:03 - 1:06
    at the end of a few days,
    I had 50 photos on my phone
  • 1:06 - 1:08
    and I had picked up each piece,
  • 1:08 - 1:10
    and I realized that I was keeping a record
  • 1:10 - 1:13
    of the positive impact
    I was having on the planet.
  • 1:13 - 1:15
    That's 50 less things that you might see,
  • 1:15 - 1:17
    or you might step on,
  • 1:17 - 1:18
    or some bird might eat.
  • 1:19 - 1:21
    So I started telling people
    what I was doing,
  • 1:21 - 1:24
    and they started participating.
  • 1:25 - 1:27
    One day,
  • 1:27 - 1:29
    this photo showed up from China.
  • 1:30 - 1:31
    And that's when I realized
  • 1:31 - 1:35
    that Litterati was more
    than just pretty pictures;
  • 1:35 - 1:38
    we were becoming a community
    that was collecting data.
  • 1:39 - 1:41
    Each photo tells a story.
  • 1:41 - 1:43
    It tells us who picked up what,
  • 1:43 - 1:46
    a geotag tells us where
  • 1:46 - 1:48
    and a time stamp tells us when.
  • 1:48 - 1:50
    So I built a Google map,
  • 1:50 - 1:55
    and started plotting the points
    where pieces were being picked up.
  • 1:55 - 1:58
    And through that process,
    the community grew
  • 1:58 - 2:00
    and the data grew.
  • 2:01 - 2:04
    My two kids go to school
    right in that bullseye.
  • 2:05 - 2:06
    Litter:
  • 2:06 - 2:09
    it's blending into
    the background of our lives.
  • 2:09 - 2:11
    But what if we brought it
    to the forefront?
  • 2:11 - 2:14
    What if we understood exactly
    what was on our streets,
  • 2:14 - 2:16
    our sidewalks
  • 2:16 - 2:17
    and our school yards?
  • 2:17 - 2:20
    How might we use that data
    to make a difference?
  • 2:21 - 2:22
    Well, let me show you.
  • 2:22 - 2:24
    The first is with cities.
  • 2:24 - 2:29
    San Francisco wanted to understand
    what percentage of litter was cigarettes.
  • 2:29 - 2:30
    Why?
  • 2:30 - 2:31
    To create a tax.
  • 2:32 - 2:34
    So they put a couple of people
    in the streets
  • 2:34 - 2:36
    with pencils and clipboards,
  • 2:36 - 2:38
    who walked around collecting information
  • 2:38 - 2:41
    which led to a 20-cent tax
    on all cigarette sales.
  • 2:42 - 2:44
    And then they got sued
  • 2:44 - 2:45
    by big tobacco,
  • 2:45 - 2:48
    who claimed that collecting information
    with pencils and clipboards
  • 2:48 - 2:51
    is neither precise nor provable.
  • 2:51 - 2:55
    The city called me and asked
    if our technology could help.
  • 2:55 - 2:56
    I'm not sure they realized
  • 2:56 - 2:59
    that our technology
    was my Instagram account --
  • 2:59 - 3:00
    (Laughter)
  • 3:00 - 3:01
    But I said, "Yes, we can."
  • 3:01 - 3:02
    (Laughter)
  • 3:02 - 3:06
    "And we can tell you
    if that's a Parliament or a Pall Mall.
  • 3:06 - 3:09
    Plus, every photograph
    is geotagged and time-stamped,
  • 3:09 - 3:11
    providing you with proof."
  • 3:12 - 3:15
    Four days and 5,000 pieces later,
  • 3:15 - 3:20
    our data was used in court
    to not only defend but double the tax,
  • 3:20 - 3:24
    generating an annual recurring revenue
    of four million dollars
  • 3:24 - 3:27
    for San Francisco to clean itself up.
  • 3:28 - 3:30
    Now, during that process
    I learned two things:
  • 3:30 - 3:33
    one, Instagram is not the right tool --
  • 3:33 - 3:34
    (Laughter)
  • 3:34 - 3:35
    so we built an app.
  • 3:35 - 3:37
    And two, if you think about it,
  • 3:37 - 3:41
    every city in the world
    has a unique litter fingerprint,
  • 3:41 - 3:45
    and that fingerprint provides
    both the source of the problem
  • 3:45 - 3:46
    and the path to the solution.
  • 3:48 - 3:50
    If you could generate a revenue stream
  • 3:50 - 3:53
    just by understanding
    the percentage of cigarettes,
  • 3:53 - 3:55
    well, what about coffee cups
  • 3:55 - 3:56
    or soda cans
  • 3:56 - 3:58
    or plastic bottles?
  • 3:59 - 4:02
    If you could fingerprint San Francisco,
    well, how about Oakland
  • 4:02 - 4:03
    or Amsterdam
  • 4:03 - 4:06
    or somewhere much closer to home?
  • 4:07 - 4:09
    And what about brands?
  • 4:09 - 4:11
    How might they use this data
  • 4:11 - 4:15
    to align their environmental
    and economic interests?
  • 4:16 - 4:19
    There's a block in downtown Oakland
    that's covered in blight.
  • 4:19 - 4:23
    The Litterati community got together
    and picked up 1,500 pieces.
  • 4:24 - 4:25
    And here's what we learned:
  • 4:25 - 4:28
    most of that litter came
    from a very well-known taco brand.
  • 4:30 - 4:33
    Most of that brand's litter
    were their own hot sauce packets,
  • 4:34 - 4:38
    and most of those hot sauce packets
    hadn't even been opened.
  • 4:40 - 4:43
    The problem and the path
    to the solution --
  • 4:43 - 4:47
    well, maybe that brand only
    gives out hot sauce upon request
  • 4:47 - 4:49
    or installs bulk dispensers
  • 4:49 - 4:51
    or comes up with more
    sustainable packaging.
  • 4:51 - 4:54
    How does a brand take
    an environmental hazard,
  • 4:54 - 4:56
    turn it into an economic engine
  • 4:56 - 4:58
    and become an industry hero?
  • 4:59 - 5:01
    If you really want to create change,
  • 5:02 - 5:04
    there's no better place to start
    than with our kids.
  • 5:04 - 5:08
    A group of fifth graders picked up
    1,247 pieces of litter
  • 5:08 - 5:10
    just on their school yard.
  • 5:10 - 5:12
    And they learned that the most
    common type of litter
  • 5:12 - 5:16
    were the plastic straw wrappers
    from their own cafeteria.
  • 5:16 - 5:18
    So these kids went
    to their principal and asked,
  • 5:18 - 5:20
    "Why are we still buying straws?"
  • 5:21 - 5:23
    And they stopped.
  • 5:23 - 5:27
    And they learned that individually
    they could each make a difference,
  • 5:27 - 5:29
    but together they created an impact.
  • 5:30 - 5:34
    It doesn't matter
    if you're a student or a scientist,
  • 5:34 - 5:37
    whether you live in Honolulu or Hanoi,
  • 5:37 - 5:39
    this is a community for everyone.
  • 5:40 - 5:45
    It started because of two little kids
    in the Northern California woods,
  • 5:45 - 5:47
    and today it's spread across the world.
  • 5:48 - 5:50
    And you know how we're getting there?
  • 5:50 - 5:52
    One piece at a time.
  • 5:53 - 5:54
    Thank you.
  • 5:54 - 5:57
    (Applause)
Title:
This app makes it fun to pick up litter
Speaker:
Jeff Kirschner
Description:

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
06:10

English subtitles

Revisions Compare revisions