Big data, small farms and a tale of two tomatoes | Erin Baumgartner

92,879 views

2020-09-11 ・ TED


New videos

Big data, small farms and a tale of two tomatoes | Erin Baumgartner

92,879 views ・ 2020-09-11

TED


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

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Transcriber: Leslie Gauthier Reviewer: Krystian Aparta
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So data and analytics are dramatically changing our everyday lives.
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Not just online,
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not just in some distant future,
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but in the physical world,
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and in very real and tangible ways.
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I spent the past 11 years of my life as a geek at MIT,
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working in big data labs
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that seek to use data science to study the physical world
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and try to solve society's great problems.
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The field of big data seeks to analyze massive pools of data
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using computational tools to find patterns and trends.
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Data can be a really extraordinary storyteller,
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unveiling the hidden narratives of things in our everyday lives
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that we never would have seen.
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I find the personal stories of inanimate things brought to life
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to be extraordinarily compelling.
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I want to highlight, first, two projects from my time at MIT
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that I think highlight this phenomenon really well.
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The first is called Trash Track,
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and in this project, we sought to better understand the waste-management system,
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to answer the question
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"Where does your trash go when you throw it away?"
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Your old coffee cup or that flip phone
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that you carried around in the early 2000s,
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or a bagel or this morning's paper --
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where do these things go?
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This data didn't exist, so we had to create it.
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We answered and then visualized this question
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by installing small sensors into pieces of trash
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and then throwing them into the waste system.
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And what you're seeing here is the data.
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Every line, every node that you see
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is a single piece of trash moving through the city of Seattle,
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and then across the state,
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and then across the country,
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as weeks and months go by.
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And it's important to visualize this data,
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because none of you are, probably, sitting here thinking,
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"Yeah, that looks right."
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(Laughter)
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"That's working like it should, right?"
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Because, no --
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(Laughter)
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What the data shows us is a highly inefficient system
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whose inherent brokenness I don't think we really would have seen
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had the sensors not done the journalism for us.
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A second project that I'd have to highlight
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has to do with creating robots that dive into sewers
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and sample wastewater.
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I know that sewage kind of gets a bad rap,
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but it's actually kind of awesome,
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because it can tell us an incredible amount
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about the health of our communities.
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This technology was spun out by a group call Biobot Analytics,
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who's creating a cutting-edge technology
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to turn our sewers into modern-day health observatories.
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Their goal is to study opioids within the sewage
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to better understand consumption in cities.
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And this data is key,
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because it really helps cities understand where people are using,
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how to allocate resources
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and the effectiveness of programming over time.
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Once again, the technology that's built into this machine
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is pulling back the curtain
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and showing us something about our cities that we never would have seen without it.
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So it turns out, as we see,
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that big data is really everywhere --
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even in your toilet.
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And so now that we've talked about trash and sewage,
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let's move on ...
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to food.
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(Laughter)
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A year ago, I left MIT to pursue a passion in food,
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and in 2017,
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started a company with my husband, called Family Dinner.
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The goal of our company is to create community around local food
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and the people who grow it.
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To make this happen, we're using data analytics,
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automation and technology
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to build a distributed network of local farms
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and to make improvements on the food system.
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So what we see here
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is that the broad techniques and the mission of what we're trying to do
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is really not dissimilar from the work at the MIT labs.
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Which brings us to a critical question:
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Why exactly would someone leave a very promising career
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at one of the top urban science labs in the world
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to drive carrots around in her mom's Acura?
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(Laughter)
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It's a great car.
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Because I believe that the story of local food
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needs to be understood, told and elevated,
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and in many ways,
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I think that nerds like us are really uniquely poised to tell it.
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So where are we starting?
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What's our starting point?
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The current national food system is optimized for one thing only,
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and that's corporate profit, right?
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And think about that.
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The most compelling reason for food companies to exist
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is not to feed hungry people,
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it's not to make delicious-tasting food.
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It's profit.
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And that has detrimental effects at all levels of our food system.
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The antibiotics and pesticides that are being put into our food
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are detrimental to our health.
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Price pressure is forcing small farms out of business.
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In fact, a lot of the things that you think about farms
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no longer exist.
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Farms don't look like farms, they look like factories.
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And at the end of the day,
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the quality of the food that we're eating really suffers, too.
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A factory-farm tomato may kind of look like a regular tomato:
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bright red exterior ...
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But when you bite into it,
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the taste and texture just leave you wanting.
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And we know that perhaps the greatest tragedy in all of this
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is that between 30 and 40 percent of this food is just wasted ...
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thrown away.
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That is 1.6 billion tons.
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I can't even wrap my head around that number.
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1.6 billion tons.
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That's 1.2 trillion dollars a year
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in wasted food.
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That is the cost of on-demand eating
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and convenience
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and the broken food system.
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Now, where's this waste happening?
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Where's all this waste coming from?
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Well, we know that it happens in the field
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when you don't pick the sexiest-looking potatoes.
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We know that it happens in transit,
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at the warehouses,
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in the grocery stores.
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And finally, on our own kitchen counters,
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when we determine that that spotty, brown banana no longer looks so yummy.
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All that waste, all that effort.
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Food is planted,
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grown, harvested, shipped,
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and then just thrown away.
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We think that there has to be a better way.
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And so how to we improve upon this?
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How do we make a better system?
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In order to do this,
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we understand that we need to eliminate waste
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in the food supply chain.
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We need to get data in the hands of farmers,
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so that they can make better predictions.
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So they can, you know, kind of compete with the big guy.
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And then finally,
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we need to prize, as a company,
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quality and taste above everything,
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so that people really value the delicious food on their plates.
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This, we believe, is the better system.
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This is the better way.
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And the path to that better way is paved with data.
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To highlight all of this, I want to tell the tale of two tomatoes.
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We'll talk about them one by one.
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A tomato in itself contains a beautiful snapshot
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of everything you might want to know about the life cycle of that fruit:
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where it was grown, what it was treated with,
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nutritional value,
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miles traveled to get to your plate,
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CO2 emissions along the way.
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All of that information,
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all those little chapters in one small fruit.
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It's very exciting.
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This is tomato number one.
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This is the guy that you'll find in sub shops, supermarkets
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and fast-food joints around the world.
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It's got a really long and complicated backstory.
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It's been treated with a cocktail of, like, a dozen pesticides
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and it has traveled at least 1,600 miles to get to your house.
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And the image here is green,
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because these tomatoes are picked when green and hard as a rock,
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and then they are gassed along the way
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so that when they arrive at the destination,
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they look bright and shiny and red and ripe.
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All of that effort,
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all of that agricultural innovation and technology
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to create a product that is entirely without taste.
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And onto the second tomato in our tale.
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This is the local version of the fruit.
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Its story is much, much shorter.
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This guy was grown by Luke Mahoney and his family at Brookford Farm
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in Canterbury, New Hampshire.
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It's got a pretty boring backstory.
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It was planted,
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sat in the sun
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and then it was picked.
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(Laughter)
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That's it.
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Like, you wouldn't want to --
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yeah, there's not much more to that.
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And it traveled maybe 70 miles to get your plate.
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But the difference is dramatic.
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I want you think about the last time you ate a fresh, summer tomato.
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And I know we're all covered in our jackets,
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but think about it.
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The last time you ate a tomato from the garden.
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It's warm from the sun,
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it's richly red,
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maybe it smells like dirt.
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There's something nostalgic and almost magical in that experience.
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The taste and the flavor are incomparable.
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And we really don't have to travel super far to get it.
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Now this story extends up the food chain,
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from the fruits and the vegetables that are on our plate
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to the animals and the animal products that we consume.
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What goes into raising them,
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and more importantly, what doesn't go into raising them,
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is critically important.
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Luke and his family have 60 cows.
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They use traditional methods.
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They do it the old way:
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pasture-raised,
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no hormones, no antibiotics,
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hay for days.
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And what they're doing here is just treating cows like they're cows,
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not like they're in a science experiment.
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He's raising animals the way that his grandfather
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and his grandfather would have.
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And at the end, it's just better.
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It's better for the animals;
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it's better for the environment.
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Luke is not optimizing for profit or price,
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but for taste and for humanity.
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And what you're thinking is, "There's already a solution to this.
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It's the farmer's markets."
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The ones that many of you visit
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and the ones that I really enjoy.
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They are a wonderful, but, in many ways, suboptimal solution.
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For us as the consumers, it's kind of great, right?
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You go,
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there's this beautiful bounty of food,
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you get the warm and fuzzies for supporting a local farm
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and you get the experience of trying something new and trying diverse products.
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And inevitably, there's some guy playing the ukulele
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somewhere in the background.
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(Laughter)
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But for the farmers, this presents a lot of risk, right?
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You wake up at four.
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You pack your truck, you hire a team,
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you get to your stall,
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but you have no guarantees
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that you're going to move your product that day.
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There's too many variables in New England.
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For example, the weather,
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which is just, like, a little bit unpredictable here.
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The weather is one of the many X factors
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that determine whether or not a market will be worth it for the farmers.
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Every time, they roll the dice.
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And there's another option.
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Here, we're talking about CSAs:
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community-supported agriculture.
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In this model, customers pay up front,
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bearing the financial risk for the farms.
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Farmers grow what they can
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and the customers enjoy that bounty.
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This also has a couple issues.
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It's great for the farmer,
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because they're ensuring that they'll sell what they buy,
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but for us,
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we still have to go and pick up that share,
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and we know that a lot of farms can't grow a huge diversity of products,
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so sometimes, you're stuck with a mountain of any one particular thing.
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Maybe this has happened to some of you.
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And what do you do with 25 pounds of rutabaga in the dead of winter?
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I still don't know.
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So back to the question.
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How do we fix this?
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What we're hoping to do and what we're hoping to build
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is just a better way to CSA.
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And there are three core innovations that make this thing hum.
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The first of which
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is a subscription-based e-commerce platform,
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which helps us create a consistent demand for our farmers
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throughout the year.
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The subscription part here is key.
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Orders process weekly,
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customers opt out instead of opt in --
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that means we've got kind of the same number of orders week to week.
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Second, this means that if farmers can sell online,
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they're no longer limited to the geography directly around their farm
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or to the number of markets that they can sell.
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We've blown the doors off of that for them.
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Second: demand forecasting.
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We're using analytics to allow ourselves to look into the future
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and forecast demand.
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This lets farmers know how much to harvest in the near-term,
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but also what to plant going forward.
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If 200 orders process on Monday,
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then we buy to meet that exact demand.
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200 heads of broccoli,
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200 pieces of salmon, et cetera, et cetera.
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This automation in ordering
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means that here, we are eliminating the waste in the food system
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that bothers us all so much,
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because we are ensuring that the supply meets the exact demand.
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It also allows us to look into the future with the farmers
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and do crop planning.
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So if we can say to them, in June of this year,
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"I'm going to need 400 pounds of asparagus
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and 500 pounds of berries every week,"
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they can plant that accordingly,
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knowing with confidence that they will sell
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everything that they have grown.
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And finally, we use a route-optimization software
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to help us solve the problem of the traveling salesman.
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We get a fleet of workers to come in and help us go the last mile,
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bringing all these goodies directly to your door.
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Without data science
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and a super-capable, wonderful team,
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none of this would be possible.
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So maybe you've seen
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that we've got some sort of fiery, passionate core beliefs.
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Yes, we're trying to build a sustainable business,
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but our eye is not only on profit,
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it's on building a better, holistic system of food.
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And here's what we value.
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People first.
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We're trying to build community around food,
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the people who love it and the people who grow it.
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We built this company to support small farms.
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Zero waste.
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We all hate wasting food, it just feels wrong --
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even that weirdo banana
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that's been sitting around on your coffee table for too long.
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And lastly, taste.
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If it doesn't taste good,
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if it's not that, like, perfect summer tomato,
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why bother?
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So what we've done is worked with all these local farms
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to bring their things in
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and then to drop them directly at your door,
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so that we're connecting you right to them
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and making, again, a more holistic system.
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This is our vision of the future.
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To extend this model beyond Boston, beyond New England
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and across the country.
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To create a nationwide distributed network of local farms
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and to connect all these farmers
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with the people like you who will love their food.
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We believe, at the end of the day,
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that really insisting on eating local food is a revolutionary act.
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And we invite you to join us.
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And who knows?
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You may even make some friends along the way.
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Thank you very much.
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(Applause)
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About this website

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