this is national Geographics first hackathon we have people who are really
hackathon we have people who are really
hackathon we have people who are really passionate about coding we have people
passionate about coding we have people
passionate about coding we have people who are passionate about design and we
who are passionate about design and we
who are passionate about design and we have people who are passionate about the
have people who are passionate about the
have people who are passionate about the United Nations Food and Agricultural
United Nations Food and Agricultural
United Nations Food and Agricultural organization has had this treasure trove
organization has had this treasure trove
organization has had this treasure trove of data for a long time and in this
of data for a long time and in this
of data for a long time and in this particular case we really want to match
particular case we really want to match
particular case we really want to match the UN FAO s data set which is very deep
the UN FAO s data set which is very deep
the UN FAO s data set which is very deep because I know everything there is to
because I know everything there is to
because I know everything there is to know about food and agriculture with all
know about food and agriculture with all
know about food and agriculture with all these people who are used to presenting
these people who are used to presenting
these people who are used to presenting to the public we are already providing
to the public we are already providing
to the public we are already providing free and open access to all our data but
free and open access to all our data but
free and open access to all our data but one thing is date availability the other
one thing is date availability the other
one thing is date availability the other is data use in order to make data
is data use in order to make data
is data use in order to make data actually used you have to make stories
actually used you have to make stories
actually used you have to make stories our out of your data you have to
our out of your data you have to
our out of your data you have to transform information into knowledge
transform information into knowledge
transform information into knowledge Tech has the power and potential to add
Tech has the power and potential to add
Tech has the power and potential to add value to our lives disrupt markets and
value to our lives disrupt markets and
value to our lives disrupt markets and food is something that needs the most
food is something that needs the most
food is something that needs the most unbelievable like reinvention right now
unbelievable like reinvention right now
unbelievable like reinvention right now our our food system is broken food is
our our food system is broken food is
our our food system is broken food is important because there’s a lot of data
important because there’s a lot of data
important because there’s a lot of data that exists around food it’s like for
that exists around food it’s like for
that exists around food it’s like for example the United Nations data that
example the United Nations data that
example the United Nations data that we’re working with today I haven’t seen
we’re working with today I haven’t seen
we’re working with today I haven’t seen that really utilized in news
that really utilized in news
that really utilized in news organizations it’s also something I
organizations it’s also something I
organizations it’s also something I didn’t know existed before the tak of
didn’t know existed before the tak of
didn’t know existed before the tak of convoy and does this kind of story angle
convoy and does this kind of story angle
convoy and does this kind of story angle looking at this idea of impossible foods
looking at this idea of impossible foods
looking at this idea of impossible foods of foods a hackathon is just a place
of foods a hackathon is just a place
of foods a hackathon is just a place where you say in a fixed period of time
where you say in a fixed period of time
where you say in a fixed period of time we are going to commit to make something
we are going to commit to make something
we are going to commit to make something we want to be able to show an individual
we want to be able to show an individual
we want to be able to show an individual person if you bought something today
person if you bought something today
person if you bought something today let’s say a banana what is the average
let’s say a banana what is the average
let’s say a banana what is the average probable amount of miles its travel to
probable amount of miles its travel to
probable amount of miles its travel to get to you sometimes there’s a lot of
get to you sometimes there’s a lot of
get to you sometimes there’s a lot of energy sometimes there’s a real lull
energy sometimes there’s a real lull
energy sometimes there’s a real lull sometimes there’s a lot of thinking
sometimes there’s a lot of thinking
sometimes there’s a lot of thinking sometimes there’s a lot of doing the
sometimes there’s a lot of doing the
sometimes there’s a lot of doing the later it gets and the closer we get to
later it gets and the closer we get to
later it gets and the closer we get to deadlines the more energy there will be
deadlines the more energy there will be
deadlines the more energy there will be in the room
in the room
in the room just a touch of panic we wanted to avoid
just a touch of panic we wanted to avoid
just a touch of panic we wanted to avoid that we want to see what could we do
that we want to see what could we do
that we want to see what could we do that could be helpful for NGOs if you
that could be helpful for NGOs if you
that could be helpful for NGOs if you know you want to do something where is
know you want to do something where is
know you want to do something where is the best place to do it say what if
the best place to do it say what if
the best place to do it say what if Tanzania ate like a person in the United
Tanzania ate like a person in the United
Tanzania ate like a person in the United States I’m it would require different
States I’m it would require different
States I’m it would require different metrics and then basically have things
metrics and then basically have things
metrics and then basically have things like land-use blows up like the Death
like land-use blows up like the Death
like land-use blows up like the Death Star what is going to waste away in the
Star what is going to waste away in the
Star what is going to waste away in the back of your refrigerator
back of your refrigerator
back of your refrigerator it seems tempting to buy that bag of
it seems tempting to buy that bag of
it seems tempting to buy that bag of lemons but you’re swimming upstream
lemons but you’re swimming upstream
lemons but you’re swimming upstream against the stats because 91% of the
against the stats because 91% of the
against the stats because 91% of the lemons are going to end up in the trash
lemons are going to end up in the trash
lemons are going to end up in the trash so by one
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