WEBVTT - When The Data Is Us (with Krystal Tsosie)

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<v Speaker 1>Yeah. Welcome to How to Citizen with Baritune Day, a

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<v Speaker 1>podcast that reimagine citizen as a verb, not a legal status.

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<v Speaker 1>This season is all about tech and how it can

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<v Speaker 1>bring us together instead of tearing us apart. We're bringing

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<v Speaker 1>you the people using technology for so much more than

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<v Speaker 1>revenue and user growth. They're using it to help us citizen. Today,

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<v Speaker 1>we're continuing our conversation about data. Last time with Kasha,

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<v Speaker 1>we looked at the way data scientists categorize and use

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<v Speaker 1>data to make algorithms and other technologies. The hope is

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<v Speaker 1>if the data set used is properly labeled and vetted,

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<v Speaker 1>the better the tech eventually becomes, and we can make

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<v Speaker 1>tools that are smarter and more importantly, more equitable. And

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<v Speaker 1>the algorithm comes out the end, and there's a decision

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<v Speaker 1>that's made you get the loan. You didn't get the loan.

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<v Speaker 1>The algorithm recognizes your speech, doesn't recognize your speech, sees you,

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<v Speaker 1>doesn't see you. People think, oh, just change the algorithm.

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<v Speaker 1>Oh no, you have to go all the way back

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<v Speaker 1>to the beginning. Cash is right. We can't just change

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<v Speaker 1>the algorithm. We have to go further back and examine

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<v Speaker 1>how data is collected in the first place. So consider

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<v Speaker 1>this episode Data Justice Part two. Right now, it's possible

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<v Speaker 1>that data is the most valuable resource on the planet.

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<v Speaker 1>We use it to drive advertising, medical research, product development.

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<v Speaker 1>Its applications are endless, and I'm not being hyperbolic. In

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<v Speaker 1>terms of financial value, data currently beats out coal oil.

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<v Speaker 1>It's a commodity. That race to collect and monetize data

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<v Speaker 1>has transformed into a veritable gold rush, or I guess

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<v Speaker 1>I should say data rush. Now. In its most basic form,

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<v Speaker 1>data is information, but beyond that, it also helps define

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<v Speaker 1>parts of who we are and the smallest part of us.

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<v Speaker 1>There's a market for that too. Those tiny nuggets of

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<v Speaker 1>data are precious and extremely personal. They live inside of us.

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<v Speaker 1>I'm talking about genetic data. Are geno that O G code.

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<v Speaker 1>The business around genetic data is huge, and I don't

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<v Speaker 1>mean just the twenty three and me tests you gave

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<v Speaker 1>your family member last holiday season. I'm talking about a

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<v Speaker 1>global industry worth billions of dollars. Bio data companies initially

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<v Speaker 1>set out to make genetic testing approachable and affordable for

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<v Speaker 1>the general public, and at first, these little tubes they

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<v Speaker 1>were intended to assess our risk for genetic diseases. But

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<v Speaker 1>since then they've really grown in popularity by offering us

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<v Speaker 1>a window into our past, our geographical ancestry. And when

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<v Speaker 1>we spit in the tube and contribute to these data sets, Yo,

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<v Speaker 1>it feels revelatory and super scientific. Like I found out

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<v Speaker 1>I was exactly twenty five point three percent Nigerian WHOA.

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<v Speaker 1>I even hosted a podcast partnered with twenty three in

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<v Speaker 1>Me called spit you might have heard it, and I

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<v Speaker 1>got to talk to all kinds of people about how

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<v Speaker 1>DNA can give us a new perspective on our relationships

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<v Speaker 1>with each other and with our health. At the time,

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<v Speaker 1>I was thrilled to share these new ideas about an

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<v Speaker 1>emerging science. It was a shiny and new way of

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<v Speaker 1>looking at ourselves and our ancestors. But my guest today

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<v Speaker 1>made me rethink everything. Who does data ultimately benefit? If

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<v Speaker 1>the data is not benefiting the people, the individuals, the

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<v Speaker 1>communities that provided that data, then who are we using

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<v Speaker 1>it for? Who are we protecting and who are we

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<v Speaker 1>uplifting at the cost of others? Justice. Crystal Socie is

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<v Speaker 1>an Indigenous meticists and bioethicist at the Native Biodata Consortium.

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<v Speaker 1>She used to work in precision medicine, developing targeted therapies

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<v Speaker 1>and treatments focused on cancer. But that experience led her

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<v Speaker 1>to co found the nonprofit Consortium with other Indigenous scientists,

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<v Speaker 1>and they built a network for Native researchers to collaborate

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<v Speaker 1>and protect their data heritage to already underserved and underrepresented

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<v Speaker 1>people's data could be part of what gives these communities

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<v Speaker 1>determination and agency over their own personhood and knowledge. Hello, Hello,

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<v Speaker 1>welcome to how does Citizen. Thank you so much for

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<v Speaker 1>the kind invite. You are so welcome. We're very excited

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<v Speaker 1>to have you as a part of Crystal joined me

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<v Speaker 1>from Phoenix, Arizona, which is the ancestral homeland of the

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<v Speaker 1>authom Pepash and Hagm people's. I joined her from northeast

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<v Speaker 1>Los Angeles, the homeland of the Tongua people's who are

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<v Speaker 1>also known as the Keeach. I want to start with

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<v Speaker 1>your ted talk called d n A is not our identity.

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<v Speaker 1>I in here to Vanderbilt to pursue a PhD in genetics,

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<v Speaker 1>and because of that, many people come up to me

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<v Speaker 1>with this question in mind, who am I? Really? What

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<v Speaker 1>they're asking is who am I? In context? It is

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<v Speaker 1>direct to consumer genetic test kit. Now you probably have

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<v Speaker 1>been made the concept. You spend a hundred to two

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<v Speaker 1>hundred dollars, You spent a whole lot of saliva, more

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<v Speaker 1>than you ever thought you can ever produce in your

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<v Speaker 1>entire life, and you mail it out thirty days later

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<v Speaker 1>you get a result, and that result is a percent

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<v Speaker 1>estimation of ancestral background. First of all, nice work. And

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<v Speaker 1>that question of who am I is actually mired in

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<v Speaker 1>something else because according to ancestry d m A, the

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<v Speaker 1>number one question is why isn't my Native American ancestry

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<v Speaker 1>not showing up? Oh? Okay, I only have ten minutes,

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<v Speaker 1>not ten years, to unpack the assertedness of that claim,

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<v Speaker 1>or to tell you how dangerous it is to equate

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<v Speaker 1>indigenousity in a false way. And I think a lot

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<v Speaker 1>of us get the opposite message. You know, there's a

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<v Speaker 1>lot of DNA testing. It's become like a party favor

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<v Speaker 1>in some ways to define yourself by the data in

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<v Speaker 1>your genetics and run these tests, so people think the opposite. Actually,

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<v Speaker 1>my DNA is my identity. That's what all the messaging says.

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<v Speaker 1>So tell me why you say our DNA is not

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<v Speaker 1>that our genetics are only half of the story. And

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<v Speaker 1>in fact, when we talk about health inequities and communities

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<v Speaker 1>of color, we really have to talk about the other

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<v Speaker 1>structural barriers that relate to health and disease. So, for instance,

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<v Speaker 1>with the COVID pandemic, there was a lot of press

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<v Speaker 1>about how these are rates for initially so much higher

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<v Speaker 1>and tribal communities such as my own, but those are

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<v Speaker 1>not due to biological differences. They were due to things

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<v Speaker 1>like our water rights being usurped from us, that we

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<v Speaker 1>didn't have water to wash our hands, which is a

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<v Speaker 1>key preventative measure for curbing viral transmission. Also, the fact

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<v Speaker 1>that we have to drive ours one way just to

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<v Speaker 1>get to a preventative health clinic. Technology is limiting our

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<v Speaker 1>ability to detect these genetic differences across the genome. We

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<v Speaker 1>don't have that much information yet, and to reduce all

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<v Speaker 1>of these differences to just biology is just ignoring the

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<v Speaker 1>beautiful diversity that's within all of our cultures worldwide. And

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<v Speaker 1>that's just talking about the health component. I haven't even

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<v Speaker 1>gotten into the genetic ancestral components. We'll get into that.

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<v Speaker 1>Because this idea that genetics that we interpret them in

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<v Speaker 1>a reductive and deterministic way, i e. The genome tells

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<v Speaker 1>us everything, that data set is us. You're rejecting that,

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<v Speaker 1>and you're reject it in the health conversation. But you know,

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<v Speaker 1>as a Native American in particular, why are you rejecting

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<v Speaker 1>this idea of genetic determinism for ancestry. Well, let's think

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<v Speaker 1>back just a few years ago. This is Elizabeth Warren.

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<v Speaker 1>What are the facts you can absolutely have a Native

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<v Speaker 1>American ancestry in your pedigree. Oh my gosh, it feels

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<v Speaker 1>like actually forever ago. But a few years ago when

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<v Speaker 1>Elizabeth Warren announced that she had a DNA test that

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<v Speaker 1>showed her supposed Native American ancestry. And Okay, let's unpack

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<v Speaker 1>this a little bit further. Okay, let's go there, let's

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<v Speaker 1>get it. Let's go yes right now. Due to historical

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<v Speaker 1>distrust and I'm not talking about centuries ago or decades ago,

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<v Speaker 1>I'm talking about just in the past few years, Native

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<v Speaker 1>Americans in the US have largely not contributed their genetic

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<v Speaker 1>information to research or willingly to genetic ancestry tests. So

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<v Speaker 1>because of that, there's not that much information that links

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<v Speaker 1>specific genetic factors to a particularly US tribal nation. So

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<v Speaker 1>where do they get that information from. They get it

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<v Speaker 1>from openly available bio markers from large scale diversity projects

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<v Speaker 1>about twenty years ago. We're here to celebrate the completion

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<v Speaker 1>of the first survey of the entire human genome. Without

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<v Speaker 1>a doubt, this is the most important, most wondrous map

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<v Speaker 1>ever produced by humankind. Today's announcement represents more than particularly

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<v Speaker 1>the Human Genome Diversity Project and also National Geographic Magazine

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<v Speaker 1>did the Genographic Project. And these were two projects that

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<v Speaker 1>were meant to sample worldwide populations, particularly indigenous peoples before

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<v Speaker 1>we disappeared. And I'm doing the air quotes, so there's

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<v Speaker 1>this huge rush to sort of sample as many indigenous

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<v Speaker 1>peoples before we were wiped off the base of the

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<v Speaker 1>planet due to colonial factors, no, not caring the fact

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<v Speaker 1>that our ways of life were disappearing. Now, we wanted

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<v Speaker 1>their genomes before we were dead and gone. And this

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<v Speaker 1>is like the same rhetoric that colonists have been trying

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<v Speaker 1>to cause our extinction for centuries, and this is just

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<v Speaker 1>like the genetic version of that. So what ended up

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<v Speaker 1>happening is researchers went into remote communities in central Amazon

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<v Speaker 1>area in Mexico in Central America, and they collected bio

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<v Speaker 1>markers from indigenous peoples, and they promised that they were

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<v Speaker 1>going to bring them medicines and deliver cures for conditions

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<v Speaker 1>that besieged them. They took their blood, and did they

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<v Speaker 1>uphold their promises. No. So when you think about tests

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<v Speaker 1>like twenty three and ancestry, they're using these openly sourced

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<v Speaker 1>bio markers from disinphra chries, disempowered, exploited indigenous groups that

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<v Speaker 1>are south of the US border, and they're using these

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<v Speaker 1>markers and also Asian biomarkers, which is a totally different

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<v Speaker 1>part of the world to infer statistically statements about US ancestry,

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<v Speaker 1>forgetting the fact that every single indigenous group has their

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<v Speaker 1>own distinct cultural and genetic histories. And those bio markers

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<v Speaker 1>that supposedly realified a story by Lizeth Warren, those biomarkers

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<v Speaker 1>don't really show anything except for the fact that she

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<v Speaker 1>perhaps had a statistical relationship with one of maybe fifty

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<v Speaker 1>people in the Mexico region of the globe. Has nothing

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<v Speaker 1>to do with the answert she is trying to claim.

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<v Speaker 1>And it's also horrible because Native American rights are tied

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<v Speaker 1>to blood quantum rules and blood quantum rules are usually

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<v Speaker 1>derived by a person's lineage, like can they prove that

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<v Speaker 1>they have a direct grandmother or a parent or more

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<v Speaker 1>even distant ancestor who was a member of that community.

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<v Speaker 1>But these are kinship structures derived from genealogy, not by blood.

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<v Speaker 1>It's just a misno more that they're called blood quantum rules.

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<v Speaker 1>But let's remember the reason why blood quantum rules started.

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<v Speaker 1>It was a means for deluding our rights and our

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<v Speaker 1>claims to sovereign resources that are actually supposed to be

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<v Speaker 1>given to us by treaty in exchange for our lands.

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<v Speaker 1>And by using these unequated rules, were deluding our rights

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<v Speaker 1>to those claims and then to reify it by these

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<v Speaker 1>genetic ancestry tests. It's just horrible. So I want to

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<v Speaker 1>pause and rewind for a few thoughts. The theft of

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<v Speaker 1>blood is literally vampiric, right, and the idea of continuing

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<v Speaker 1>to extract and exploit, which are fancy words for steel,

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<v Speaker 1>is a continuation of colonial behavior. So it sounds to

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<v Speaker 1>me like what you're describing as a as a vampiric

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<v Speaker 1>genetic colonialism. It's interesting that you use that term vampiric

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<v Speaker 1>because when these large scale diversity projects were announced, global

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<v Speaker 1>Indigenous populations at least six hundred of them actually went

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<v Speaker 1>to the United Nations and actually asked for the cessation

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<v Speaker 1>of these studies, and particularly called the genographic project a

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<v Speaker 1>vampire project because it was akin to vampire bats coming

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<v Speaker 1>in the middle of the night, stealing their blood and

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<v Speaker 1>then leaving when the morning came. And that's what felt like,

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<v Speaker 1>what do Indigenous people lose out on if they don't

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<v Speaker 1>have their data in their own hands, if they don't

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<v Speaker 1>have that data sovereignty. Well, first of all, if they

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<v Speaker 1>are not in charge of their data and they don't

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<v Speaker 1>have the same saying data decisions, then how are they

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<v Speaker 1>going to call for accountability to ensure that they're able

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<v Speaker 1>to benefit from the collection of their information. But then

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<v Speaker 1>also we have to worry about whether or not d

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<v Speaker 1>NA claims to indigenousity will be undermined. So, for instance,

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<v Speaker 1>there's a number of scholars that are tracking descendants of

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<v Speaker 1>Mate populations and First Nations Canada people that claim to

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<v Speaker 1>be members of tribal communities but really have no evidence,

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<v Speaker 1>but are able to claim rights that should be only

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<v Speaker 1>to Indigenous people's. And what that effectively does is that

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<v Speaker 1>undermines the strength of communities because it's not like these

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<v Speaker 1>rights to resources are unlimited. It's very finite. There's like

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<v Speaker 1>a flip side version of this with the one drop

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<v Speaker 1>rule in US history about who's black, and that was

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<v Speaker 1>used as a weapon to kind of exclude people from

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<v Speaker 1>the resource of the majority population. Well, you're not white,

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<v Speaker 1>therefore you go to the back of everything, every list.

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<v Speaker 1>And there's an irony in the modern times when we

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<v Speaker 1>have so much language about inclusivity and equity and diversity,

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<v Speaker 1>like the whole trifecta, that the resources of a colonial

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<v Speaker 1>government will be used to determine membership in an indigenous community,

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<v Speaker 1>and that at the very heart of sovereignty, probably more

0:15:50.480 --> 0:15:56.320
<v Speaker 1>than water or land, is self definition, right, self determination.

0:15:56.600 --> 0:15:59.080
<v Speaker 1>And so if this outside authority, which you've got mad

0:15:59.120 --> 0:16:02.760
<v Speaker 1>reason not to trust sto already now usurps your own

0:16:02.920 --> 0:16:08.280
<v Speaker 1>membership rules based on questionable and certainly in complete science,

0:16:09.920 --> 0:16:11.960
<v Speaker 1>that's real, messed up. That's that's where I landed. That's

0:16:12.160 --> 0:16:14.680
<v Speaker 1>all that built up to. That's just real. Know that

0:16:14.760 --> 0:16:19.240
<v Speaker 1>the cruelest joke is that US indigenous groups have taken

0:16:19.280 --> 0:16:21.920
<v Speaker 1>this system that was meant to delude us from our

0:16:22.040 --> 0:16:26.240
<v Speaker 1>rights to resources, and now we have used that same

0:16:26.320 --> 0:16:30.800
<v Speaker 1>system to define ourselves and even exclude others that should

0:16:30.840 --> 0:16:35.080
<v Speaker 1>be a part of our community. That is just intrinsic

0:16:35.080 --> 0:16:41.960
<v Speaker 1>colonialism reflected upon ourselves and the worst way possible. Wow Wow,

0:16:43.840 --> 0:16:52.920
<v Speaker 1>We'll be right back. What does your denay and Navajo

0:16:52.960 --> 0:16:57.400
<v Speaker 1>identity mean to you beyond your DNA? So if I

0:16:57.440 --> 0:17:02.040
<v Speaker 1>were to give my full introduction, Dini bazade I would

0:17:02.040 --> 0:17:11.760
<v Speaker 1>say can the Cheney, initially the Nain and then Crystal

0:17:11.840 --> 0:17:16.199
<v Speaker 1>Sissy Hitia. So what I have provided to you in

0:17:16.240 --> 0:17:21.879
<v Speaker 1>the first two three sentences as a description of my

0:17:22.000 --> 0:17:26.040
<v Speaker 1>four clans, so everyone that my mother, my father, and

0:17:26.080 --> 0:17:30.000
<v Speaker 1>my grandparents are related to. And then I introduced myself.

0:17:31.640 --> 0:17:37.240
<v Speaker 1>So I have given you my entire lineage through the

0:17:37.600 --> 0:17:41.760
<v Speaker 1>time since Navajo people have existed, everyone that I'm related to,

0:17:42.680 --> 0:17:48.240
<v Speaker 1>And by listening to my introduction and introducing ourselves to

0:17:48.280 --> 0:17:53.080
<v Speaker 1>each other, we get kinship ties like oh, this person

0:17:53.240 --> 0:17:56.800
<v Speaker 1>is my same clan, we are brothers and sisters, or

0:17:56.920 --> 0:17:59.840
<v Speaker 1>they are a related clan, this person is my cousin

0:18:00.359 --> 0:18:02.800
<v Speaker 1>in a way, and so we don't have like the

0:18:02.880 --> 0:18:07.480
<v Speaker 1>same nuclear family structures as we do in dominant cultures.

0:18:07.880 --> 0:18:13.560
<v Speaker 1>We have expanded kinship structures, and that's just beautiful because

0:18:13.720 --> 0:18:18.480
<v Speaker 1>it means that our family is just more as an

0:18:18.480 --> 0:18:23.280
<v Speaker 1>expanded unit. It also strikes me that the way we

0:18:23.320 --> 0:18:27.000
<v Speaker 1>introduce ourselves in dominant culture in the West is first person,

0:18:27.080 --> 0:18:31.680
<v Speaker 1>singular and disconnected from others. It's like, I'm very Toonday,

0:18:31.800 --> 0:18:36.880
<v Speaker 1>whatever next. And so your introduction and self definition was

0:18:36.960 --> 0:18:40.200
<v Speaker 1>in relation to those who may not even still be here.

0:18:45.760 --> 0:18:47.240
<v Speaker 1>I want to I want to get a little more

0:18:47.280 --> 0:18:50.480
<v Speaker 1>context on you. Tell me about your home. What was

0:18:50.520 --> 0:18:53.480
<v Speaker 1>it like growing up and where did you grow up? Okay,

0:18:53.520 --> 0:18:56.760
<v Speaker 1>these are great questions, and I first want to tackle

0:18:56.840 --> 0:19:00.840
<v Speaker 1>the assumption that all Indigenous peoples are based in their

0:19:00.880 --> 0:19:03.960
<v Speaker 1>home communities, because we are not. We have been forcibly

0:19:04.040 --> 0:19:09.680
<v Speaker 1>displaced economically and just geographically. And in this case, that

0:19:09.840 --> 0:19:14.240
<v Speaker 1>is my family history. My mother comes from Chanta, Arizona,

0:19:14.400 --> 0:19:17.320
<v Speaker 1>the northern region that's just pretty much closely Utah border.

0:19:17.520 --> 0:19:20.360
<v Speaker 1>And then my father comes from the Loop area, which

0:19:20.359 --> 0:19:24.280
<v Speaker 1>is in central Arizona. And he actually worked in the

0:19:24.359 --> 0:19:28.040
<v Speaker 1>Phoenix Indian Medical Center, which is the largest Indian health

0:19:28.080 --> 0:19:31.760
<v Speaker 1>service clinic in the entire US, but it's based in Phoenix.

0:19:32.240 --> 0:19:34.800
<v Speaker 1>But he wasn't a doctor. Neither of my parents went

0:19:34.960 --> 0:19:39.200
<v Speaker 1>to college, so I'm a first generation student. Even though

0:19:39.240 --> 0:19:43.600
<v Speaker 1>I was more economically well situated than other members of

0:19:43.600 --> 0:19:46.880
<v Speaker 1>my family. I lived in the ghetto of West Phoenix,

0:19:48.840 --> 0:19:51.639
<v Speaker 1>and anyway, I was like the only Native kid in

0:19:51.920 --> 0:19:55.200
<v Speaker 1>all my levels of school. It wasn't until I hit

0:19:55.840 --> 0:20:00.119
<v Speaker 1>really high school and college that I started interacting with

0:20:00.240 --> 0:20:05.400
<v Speaker 1>other Native American students, and the reception was cold. Like

0:20:05.480 --> 0:20:09.720
<v Speaker 1>I was non rez I was non res Translate that

0:20:09.840 --> 0:20:13.000
<v Speaker 1>for me, Oh, I was not born and raped. I

0:20:13.080 --> 0:20:16.040
<v Speaker 1>was on a reservation. I didn't have to say little experience.

0:20:16.760 --> 0:20:20.600
<v Speaker 1>I was not as hardcore as they were. I was

0:20:20.640 --> 0:20:23.280
<v Speaker 1>an apple right on the outside, white on the inside.

0:20:23.640 --> 0:20:26.920
<v Speaker 1>Oh you had apples, we had oreos. Black on the outside,

0:20:26.920 --> 0:20:29.320
<v Speaker 1>white on the inside. It's why is it always food?

0:20:32.119 --> 0:20:36.000
<v Speaker 1>I went to one of the top ranked biomedical research

0:20:36.080 --> 0:20:41.840
<v Speaker 1>universities in the world, and God, it was blatantly obvious that,

0:20:42.000 --> 0:20:45.439
<v Speaker 1>despite my accomplishments, that I was recruited because I was brown,

0:20:45.520 --> 0:20:49.120
<v Speaker 1>and particularly because I was Native American. They weren't interested

0:20:49.160 --> 0:20:52.159
<v Speaker 1>in my training or interested in the fact that I

0:20:52.240 --> 0:20:57.840
<v Speaker 1>wanted to contribute something to my own people. You've heard

0:20:57.840 --> 0:21:02.119
<v Speaker 1>the term quarter like crisis. Okay, it was about that age,

0:21:02.400 --> 0:21:05.520
<v Speaker 1>and I was questioning a lot about my identity as

0:21:05.600 --> 0:21:10.480
<v Speaker 1>an Indigenous person occupying a white dominated space of academia

0:21:10.640 --> 0:21:16.440
<v Speaker 1>and science as a budding researcher, did I have the

0:21:17.200 --> 0:21:21.080
<v Speaker 1>wherewithal to make it as a scientist. And then also

0:21:21.520 --> 0:21:24.199
<v Speaker 1>just in terms of my own life land, if I

0:21:24.240 --> 0:21:28.440
<v Speaker 1>were to start again from scratch as a graduate student,

0:21:29.040 --> 0:21:33.680
<v Speaker 1>would I be successful or am I just delaying some

0:21:34.760 --> 0:21:40.160
<v Speaker 1>inevitable truth that maybe I wasn't good enough. That type

0:21:40.160 --> 0:21:43.320
<v Speaker 1>of reckoning is hard to do when in you're young

0:21:43.359 --> 0:21:46.280
<v Speaker 1>and mid twenties, and that's something that I feel like

0:21:46.520 --> 0:21:49.560
<v Speaker 1>scholars of color have at some point in their careers.

0:21:53.280 --> 0:21:58.000
<v Speaker 1>But what spurred my change was the realization that if

0:21:58.000 --> 0:22:00.280
<v Speaker 1>I were to complete my PhD in cancer by ology,

0:22:00.359 --> 0:22:05.080
<v Speaker 1>and if I were to invent something that fundamentally changed

0:22:05.560 --> 0:22:10.960
<v Speaker 1>cancer therapies, and whatever I invented went through all of

0:22:11.000 --> 0:22:14.600
<v Speaker 1>the phases of clinical trialing and made it to market,

0:22:14.920 --> 0:22:19.160
<v Speaker 1>there was like a heart wrenching feeling that it wouldn't

0:22:19.200 --> 0:22:25.360
<v Speaker 1>benefit my own people, That it would benefit rich, effluent

0:22:25.480 --> 0:22:30.000
<v Speaker 1>people first, long before it would benefit my own people.

0:22:31.720 --> 0:22:35.600
<v Speaker 1>As a brown person, and the sciences like I need

0:22:35.640 --> 0:22:39.399
<v Speaker 1>to do better, and I actually ended up switching my

0:22:39.520 --> 0:22:45.159
<v Speaker 1>field to bioethics and genetics and definitely feel the direct

0:22:45.200 --> 0:22:52.600
<v Speaker 1>impact of my research. Now, you so generously described me

0:22:52.800 --> 0:22:56.000
<v Speaker 1>as a scientist and an activist in your introduction of me,

0:22:56.480 --> 0:23:00.560
<v Speaker 1>and being called a scientists activists is actually some thing that,

0:23:00.800 --> 0:23:03.560
<v Speaker 1>depending on who you're talking to, can either be a

0:23:03.600 --> 0:23:08.960
<v Speaker 1>compliment or an insult, because supposedly people feel like science

0:23:08.960 --> 0:23:14.639
<v Speaker 1>should be objective and that there is no room for

0:23:15.440 --> 0:23:21.640
<v Speaker 1>conversations about racism and inequities in science, and to state

0:23:21.760 --> 0:23:25.959
<v Speaker 1>anything otherwise is apparently anti science. I can't tell you

0:23:26.000 --> 0:23:29.760
<v Speaker 1>how many times I've been called as a scientist anti

0:23:29.760 --> 0:23:35.119
<v Speaker 1>science by people who had no idea anything about science

0:23:35.160 --> 0:23:41.679
<v Speaker 1>as a field. We have to really question when we

0:23:41.720 --> 0:23:47.960
<v Speaker 1>over it economize science versus anti science, or even science

0:23:48.760 --> 0:23:55.120
<v Speaker 1>as being equated with objectivity, because when we take it apart,

0:23:55.840 --> 0:24:01.360
<v Speaker 1>when we're talking about humans, humans are messy. Science itself

0:24:01.720 --> 0:24:07.600
<v Speaker 1>is messy. It is not objective. It is completely dependent

0:24:07.800 --> 0:24:12.600
<v Speaker 1>on biases. Decisions that are made at the federal level

0:24:12.840 --> 0:24:17.159
<v Speaker 1>of what types of science are worthwhile for funding or

0:24:17.240 --> 0:24:22.040
<v Speaker 1>in terms of what types of research is deemed worthwhile

0:24:22.119 --> 0:24:26.520
<v Speaker 1>those are non objective decisions. Yeah, we all bring our

0:24:26.560 --> 0:24:29.240
<v Speaker 1>perspective to that stuff and have the idea there's a

0:24:29.280 --> 0:24:32.760
<v Speaker 1>neutral thing floating out in the demilitarized zones of all

0:24:32.800 --> 0:24:35.880
<v Speaker 1>of our minds called science is a myth. So thank

0:24:35.920 --> 0:24:39.560
<v Speaker 1>you for breaking that down. A lot of folks who

0:24:39.600 --> 0:24:43.000
<v Speaker 1>look at the tech world they see algorithmic bias. They

0:24:43.080 --> 0:24:47.000
<v Speaker 1>see hiring algorithms which don't have the right data leading

0:24:47.000 --> 0:24:50.359
<v Speaker 1>to the exclusion of women. They see policing algorithms sending

0:24:50.400 --> 0:24:53.240
<v Speaker 1>people back to prison who really are ready to come

0:24:53.400 --> 0:24:59.959
<v Speaker 1>back home. There's medical research value to having diversity of data.

0:25:00.080 --> 0:25:03.400
<v Speaker 1>Yet you've raised a lot of red flags around this

0:25:03.480 --> 0:25:08.479
<v Speaker 1>call for data diversity. Why should we be concerned and

0:25:08.520 --> 0:25:11.840
<v Speaker 1>what's your experience as an indigenous person taught you? So?

0:25:12.000 --> 0:25:16.000
<v Speaker 1>Diversity and inclusion is not the same as equity. We

0:25:16.080 --> 0:25:20.199
<v Speaker 1>have to make sure that those terms are disentangled and

0:25:20.240 --> 0:25:23.480
<v Speaker 1>that we really pay close attention to what we mean

0:25:23.520 --> 0:25:27.040
<v Speaker 1>by equity. But then the question is to what end

0:25:28.400 --> 0:25:34.840
<v Speaker 1>and who actually benefits? And in the scenarios that I described,

0:25:35.800 --> 0:25:39.800
<v Speaker 1>twenty plus years after data has been extracted from Indigenous peoples,

0:25:40.680 --> 0:25:43.960
<v Speaker 1>the people who have largely benefited are not the community

0:25:43.960 --> 0:25:48.280
<v Speaker 1>members that provided the blood. It's for profit companies like

0:25:48.359 --> 0:25:55.440
<v Speaker 1>ancestry and three and me. Ancestry since seventeen they posted

0:25:56.000 --> 0:26:01.520
<v Speaker 1>every holiday quarter profits over a billion dollars, So this

0:26:01.600 --> 0:26:06.080
<v Speaker 1>is reflected of people wanting to gift direct to consumer

0:26:06.080 --> 0:26:12.080
<v Speaker 1>genetic ancestry tests as Christmas gifts, literally paying to give

0:26:12.200 --> 0:26:16.399
<v Speaker 1>up your data to feed the algorithms that these companies

0:26:16.440 --> 0:26:20.600
<v Speaker 1>are trying to develop. And then recently Ancestry was acquired

0:26:20.720 --> 0:26:25.800
<v Speaker 1>by a venture capitalist firm for six billion dollars. Now

0:26:26.000 --> 0:26:30.400
<v Speaker 1>twenty and three and Me also has interest in collecting

0:26:30.680 --> 0:26:35.960
<v Speaker 1>Bible markers for Native American people's. These companies and other

0:26:36.160 --> 0:26:42.320
<v Speaker 1>genetic ancestry companies have expressed interest in creating Native American

0:26:42.520 --> 0:26:49.359
<v Speaker 1>specific platforms so that they can more accurately assess what

0:26:49.560 --> 0:26:55.639
<v Speaker 1>percentage membership you are by blood. If we think about

0:26:56.640 --> 0:26:59.840
<v Speaker 1>what we know about genetic variants contribute to disease, the

0:27:00.080 --> 0:27:03.560
<v Speaker 1>lois hanging fruit has already been picked. We already know

0:27:03.640 --> 0:27:10.280
<v Speaker 1>the common variants contributing to things like gastric cancers and diabetes.

0:27:11.119 --> 0:27:15.359
<v Speaker 1>The next sort of innovation is going to be in

0:27:15.520 --> 0:27:19.240
<v Speaker 1>rare variants or in variants that haven't been yet discovered

0:27:19.520 --> 0:27:23.560
<v Speaker 1>in populations like our own and that's also like stay

0:27:23.640 --> 0:27:28.119
<v Speaker 1>tuned to the term like discovery, right, because these terms

0:27:28.119 --> 0:27:34.879
<v Speaker 1>are very intricately aligned with colonial language of discovery and

0:27:35.080 --> 0:27:39.159
<v Speaker 1>of our people's Hello Columbus. Yeah, exactly. We have to

0:27:39.359 --> 0:27:42.480
<v Speaker 1>really think about these direct parallels when we talk about

0:27:43.240 --> 0:27:49.920
<v Speaker 1>vanishing populations and we talk about discovering variation. So it's

0:27:49.960 --> 0:27:54.280
<v Speaker 1>interesting a lot of these drives for collecting data from

0:27:54.920 --> 0:27:59.760
<v Speaker 1>diverse groups is tied with these long term aims and

0:28:00.640 --> 0:28:04.760
<v Speaker 1>some today down the road, precision and genomic medicine is

0:28:04.840 --> 0:28:09.440
<v Speaker 1>going to improve health for all, but it's the pathway

0:28:09.520 --> 0:28:12.800
<v Speaker 1>is not clear. I want to give a really old

0:28:12.840 --> 0:28:16.200
<v Speaker 1>reference to a South Park episode? Can I do that? Yes?

0:28:16.359 --> 0:28:19.400
<v Speaker 1>You just you opened up my heart? I love South Park.

0:28:19.520 --> 0:28:23.520
<v Speaker 1>Let's go okay, So keep in mind I haven't watched

0:28:23.520 --> 0:28:26.320
<v Speaker 1>the South Park in years, but there's a classic episode

0:28:26.320 --> 0:28:29.680
<v Speaker 1>with the underpants gnomes co lactant kind of pants. Just phose? When?

0:28:30.320 --> 0:28:35.480
<v Speaker 1>So what's phase two? H what's phase two? Well? The

0:28:35.840 --> 0:28:41.320
<v Speaker 1>thrill of profit? I don't get it. Yes, yes, phase

0:28:41.400 --> 0:28:49.400
<v Speaker 1>one collect underpants, phase two question mark phase three profits. Yes, yeah,

0:28:49.520 --> 0:28:56.320
<v Speaker 1>it's the same thing with precision genomics. It's like step

0:28:56.400 --> 0:29:01.880
<v Speaker 1>one collect bio markers. From underrepresented people Step two question

0:29:01.920 --> 0:29:04.680
<v Speaker 1>marks Scept three. They're supposed to be some benefits to

0:29:04.760 --> 0:29:08.720
<v Speaker 1>prove to the individuals both no clear pathway and in actuality,

0:29:09.000 --> 0:29:12.280
<v Speaker 1>the real direct benefit is to drug companies because they

0:29:12.320 --> 0:29:16.320
<v Speaker 1>have a vested commercial interest in profiting from They're the

0:29:16.440 --> 0:29:23.200
<v Speaker 1>underpants gnomes of genetics. Oh my gosh, you gotta keep

0:29:23.280 --> 0:29:27.800
<v Speaker 1>using that. That's amazing. Crystal's got more thoughts on democracy

0:29:27.840 --> 0:29:31.560
<v Speaker 1>and self determination that real citizen talk after the break.

0:29:40.680 --> 0:29:42.960
<v Speaker 1>A lot of this stuff you were saying about ownership

0:29:43.120 --> 0:29:46.480
<v Speaker 1>of data, and you know, without it you don't have accountability.

0:29:46.960 --> 0:29:50.560
<v Speaker 1>For one, I'm like, is she talking about indigenous genomic data?

0:29:50.600 --> 0:29:53.640
<v Speaker 1>Is she talking about my Facebook data? Right? The parallels

0:29:53.640 --> 0:29:58.400
<v Speaker 1>are really really obvious. But we're not talking about Facebook,

0:29:58.440 --> 0:30:01.200
<v Speaker 1>but we we still are in some ways that we're

0:30:01.200 --> 0:30:05.880
<v Speaker 1>still talking about self determination and power exactly. But Facebook

0:30:05.960 --> 0:30:10.680
<v Speaker 1>data usually has the risks centered on the individual. So

0:30:10.920 --> 0:30:15.200
<v Speaker 1>your search history usually uniquely identifies you your own personal

0:30:15.240 --> 0:30:21.719
<v Speaker 1>preferences with genomic information. Though genomic data, that's biological information

0:30:21.880 --> 0:30:26.280
<v Speaker 1>that links you and everyone you're related to. Let's think

0:30:26.320 --> 0:30:30.840
<v Speaker 1>about third party ancestry test sites. So these are a

0:30:30.920 --> 0:30:35.320
<v Speaker 1>third party databases in which people can take their results

0:30:35.320 --> 0:30:39.800
<v Speaker 1>from twenty three and ancestry and then deposited into a

0:30:39.920 --> 0:30:44.480
<v Speaker 1>free database. And these databases are of interest for law

0:30:44.600 --> 0:30:50.280
<v Speaker 1>enforcement agencies, and in fact, law enforcement agencies they used

0:30:50.480 --> 0:30:54.000
<v Speaker 1>databases like this to identify the Golden State killer. The

0:30:54.120 --> 0:30:58.040
<v Speaker 1>answer was and always was going to be in the

0:30:58.160 --> 0:31:02.080
<v Speaker 1>d N A we knew we could and should solve

0:31:02.160 --> 0:31:08.200
<v Speaker 1>it using the most innovative DNA technology available at this time.

0:31:08.880 --> 0:31:11.760
<v Speaker 1>We found the needle in the haystack, and it was

0:31:11.880 --> 0:31:16.680
<v Speaker 1>right here in Sacramento. Now, think about our communities, communities

0:31:16.720 --> 0:31:19.600
<v Speaker 1>a color like yours and mine, or like indigenous communities

0:31:19.600 --> 0:31:25.280
<v Speaker 1>in particular. We have larger family sizes, smaller generation gaps

0:31:26.560 --> 0:31:31.320
<v Speaker 1>one person's DNA. I have a hundred first cousins alone.

0:31:32.000 --> 0:31:35.200
<v Speaker 1>I can't imagine how many third cousins I have. So

0:31:35.480 --> 0:31:38.760
<v Speaker 1>I would be upset if you know some person I've

0:31:38.760 --> 0:31:42.520
<v Speaker 1>never been met before decided to give up their information,

0:31:42.680 --> 0:31:47.960
<v Speaker 1>my information to a pharmaceutical company or another company. And

0:31:48.160 --> 0:31:51.000
<v Speaker 1>I'd be further upset if that information was used by

0:31:51.000 --> 0:31:55.000
<v Speaker 1>a federal agency to aid in racial genetic profiling. YO,

0:31:55.280 --> 0:31:58.280
<v Speaker 1>I'm right there with you, and I think the idea

0:31:58.400 --> 0:32:03.440
<v Speaker 1>that my scent is not mine alone to give because

0:32:03.520 --> 0:32:07.360
<v Speaker 1>others are implicated in the consequences of that decision. Makes

0:32:07.360 --> 0:32:10.720
<v Speaker 1>a ton of sense, and it's so intimate. If the

0:32:10.760 --> 0:32:16.600
<v Speaker 1>first step was acknowledge the economic value of the data,

0:32:16.800 --> 0:32:23.440
<v Speaker 1>then there's presumed compensation do for use of this, and

0:32:23.520 --> 0:32:28.640
<v Speaker 1>potentially even collective compensation because the connections are beyond the

0:32:28.680 --> 0:32:32.000
<v Speaker 1>individual in this case, What do you think about the

0:32:32.040 --> 0:32:35.400
<v Speaker 1>implication that people should be paid because of the economic

0:32:35.480 --> 0:32:40.200
<v Speaker 1>value of their data. So, I know ephesis in general

0:32:40.720 --> 0:32:45.480
<v Speaker 1>do not like these conversations of attaching commercial value to

0:32:46.080 --> 0:32:49.600
<v Speaker 1>We're making ethicis mad? Okay? Yeah, But I I want

0:32:49.640 --> 0:32:51.920
<v Speaker 1>to add the flip side of this, because we know

0:32:52.400 --> 0:32:56.960
<v Speaker 1>that commercial exploitation is tied with genomic data exploitation. Therefore,

0:32:57.640 --> 0:33:01.680
<v Speaker 1>if we are able to attach a commercial value to

0:33:02.040 --> 0:33:05.880
<v Speaker 1>indigenous DNA, which is a scarce commodity that's incredibly important,

0:33:06.480 --> 0:33:09.640
<v Speaker 1>then we should be able to create a dollar value

0:33:10.200 --> 0:33:16.040
<v Speaker 1>on the exploitation of our people's DNA. And that is

0:33:16.040 --> 0:33:19.000
<v Speaker 1>a call to justice. And we really should be talking

0:33:19.040 --> 0:33:23.040
<v Speaker 1>about benefit sharing as a means of profit sharing and

0:33:23.080 --> 0:33:26.240
<v Speaker 1>calling onto companies like drug companies that if you want

0:33:26.280 --> 0:33:30.080
<v Speaker 1>to collect our information and profit from it, then you

0:33:30.160 --> 0:33:33.440
<v Speaker 1>need to be sure that the people contributing that information

0:33:33.920 --> 0:33:37.120
<v Speaker 1>also benefit and if you can't give us a portion

0:33:37.200 --> 0:33:40.840
<v Speaker 1>of that profit, then we need to call into question

0:33:41.240 --> 0:33:48.080
<v Speaker 1>your practices. Yo, can you tell me about where you're

0:33:48.080 --> 0:33:54.280
<v Speaker 1>working now and what's the Native Bio Data Consortium. The

0:33:54.400 --> 0:33:59.800
<v Speaker 1>Native Bio Data Consertion is an Indigenous led research nonprofit

0:34:00.640 --> 0:34:06.240
<v Speaker 1>that started off as a biological and data repository. What

0:34:06.280 --> 0:34:12.920
<v Speaker 1>we wanted was to ensure that samples that were collected

0:34:12.960 --> 0:34:18.440
<v Speaker 1>from mimmunity members actually benefited those community members. And we

0:34:18.560 --> 0:34:22.760
<v Speaker 1>wanted to create a research institution in which the research

0:34:22.840 --> 0:34:27.640
<v Speaker 1>questions were driven by community members interests. And these type

0:34:27.640 --> 0:34:32.960
<v Speaker 1>of research questions probably more proximately relate to differences in

0:34:33.280 --> 0:34:37.120
<v Speaker 1>disease and conditions in their communities than a research question

0:34:37.160 --> 0:34:41.200
<v Speaker 1>that is driven by an outside researcher. So they're the

0:34:41.239 --> 0:34:48.240
<v Speaker 1>ones that understand that environmental changes have contributed to health.

0:34:49.280 --> 0:34:53.880
<v Speaker 1>They're the ones that understand that lifestyle and diet changes

0:34:53.960 --> 0:34:57.320
<v Speaker 1>that have been imposed upon them are going to contribute

0:34:57.320 --> 0:35:00.880
<v Speaker 1>to differences in health that perhaps the West turned starchy

0:35:00.920 --> 0:35:05.040
<v Speaker 1>diets are different from the more agrarian lifestyles that they

0:35:05.080 --> 0:35:09.080
<v Speaker 1>had for centuries beforehand. These are factors that are often

0:35:09.200 --> 0:35:12.400
<v Speaker 1>missing when we just look at precision medicine in a

0:35:12.480 --> 0:35:18.000
<v Speaker 1>genemic only framework, we're missing those cultural factors. If you're

0:35:18.120 --> 0:35:22.120
<v Speaker 1>asking the wrong question, it doesn't matter how precise your

0:35:22.160 --> 0:35:27.719
<v Speaker 1>answer is. Yes. What else are you spearheading? With the consortium?

0:35:27.800 --> 0:35:33.880
<v Speaker 1>We are also spearheading a lot of education initiatives. We

0:35:34.000 --> 0:35:39.000
<v Speaker 1>just finished a summer program called Indigit Data. Indigit Data,

0:35:39.280 --> 0:35:42.680
<v Speaker 1>I love that good job with the name, Thank you.

0:35:43.480 --> 0:35:46.400
<v Speaker 1>We were just so fortunate that we were able to

0:35:46.880 --> 0:35:51.520
<v Speaker 1>secure funding to create this one week workshop in which

0:35:51.600 --> 0:35:55.960
<v Speaker 1>we were able to bring together undergraduate and graduate Indigenous

0:35:56.000 --> 0:35:59.880
<v Speaker 1>students and talk to them about data science and careers

0:35:59.880 --> 0:36:02.960
<v Speaker 1>and data science, but then also data ethics and what

0:36:03.120 --> 0:36:06.279
<v Speaker 1>it means to actually assert indigenous data sovereignties in their

0:36:06.280 --> 0:36:11.080
<v Speaker 1>own communities. And it was amazing. We had, like the

0:36:11.120 --> 0:36:13.800
<v Speaker 1>first parts of the morning were devoted to guest lectures

0:36:13.800 --> 0:36:18.400
<v Speaker 1>who are all Indigenous, who are all amazing scholars leading

0:36:18.440 --> 0:36:22.560
<v Speaker 1>their own fields using data science and their own particularly

0:36:22.680 --> 0:36:26.640
<v Speaker 1>unique ways. And then in the afternoon we talked coding,

0:36:27.920 --> 0:36:34.160
<v Speaker 1>like actually coded using environmental data that we collected and

0:36:34.239 --> 0:36:37.760
<v Speaker 1>sequenced from tribal lands, and it was just so cool

0:36:37.840 --> 0:36:40.400
<v Speaker 1>to get the students to sort of get their hands

0:36:40.960 --> 0:36:45.000
<v Speaker 1>dirty in a sense with the data, and it really

0:36:45.040 --> 0:36:49.160
<v Speaker 1>just opened their eyes to the larger questions that we

0:36:49.239 --> 0:36:52.600
<v Speaker 1>discussed earlier, which is the fact that data is power.

0:36:55.040 --> 0:37:00.400
<v Speaker 1>Data is power. Data is also linked to disempower mournment.

0:37:01.200 --> 0:37:04.520
<v Speaker 1>And if we want to change the narrative, then we

0:37:04.600 --> 0:37:08.440
<v Speaker 1>need to change the next generation of data scientists that

0:37:08.480 --> 0:37:16.480
<v Speaker 1>come from our communities. What's the overall goal of educating

0:37:16.560 --> 0:37:22.319
<v Speaker 1>indigenous data scientists. De Colonization has to be done by

0:37:22.880 --> 0:37:29.960
<v Speaker 1>historically colonized people, no one else. So it's really interesting

0:37:30.239 --> 0:37:35.320
<v Speaker 1>when you have white academics who are looking to scholars

0:37:35.320 --> 0:37:38.200
<v Speaker 1>of color to figure out how to de colonize their

0:37:38.280 --> 0:37:44.000
<v Speaker 1>syllabi and oh my gosh, I have a brief story.

0:37:44.360 --> 0:37:47.080
<v Speaker 1>So I did a Twitter conference called de Colonized DNA

0:37:47.480 --> 0:37:50.799
<v Speaker 1>and it was in lined with National DNA DA and

0:37:50.840 --> 0:37:56.279
<v Speaker 1>it was really to bring voices of disenfranchised communities and

0:37:56.520 --> 0:38:00.759
<v Speaker 1>representative scholars to talk about how janet mix could be

0:38:00.960 --> 0:38:05.839
<v Speaker 1>reductionistic and you know, reinforce these power dynamics that really

0:38:05.880 --> 0:38:08.960
<v Speaker 1>need to be changed. And after that, a lot of

0:38:09.160 --> 0:38:12.640
<v Speaker 1>white people and a lot of journalists who work for

0:38:13.160 --> 0:38:16.879
<v Speaker 1>education journals reached out to me and they asked me, well,

0:38:16.880 --> 0:38:22.120
<v Speaker 1>what can we learn from indigenous peoples and what recommendations

0:38:22.120 --> 0:38:27.400
<v Speaker 1>would you give to white scholars for decolonizing their curricula.

0:38:28.120 --> 0:38:32.239
<v Speaker 1>And I'm like, step down, give your place up, and

0:38:32.320 --> 0:38:36.359
<v Speaker 1>allow a scholar of color, a colonized person, to take

0:38:36.400 --> 0:38:39.160
<v Speaker 1>your place, because ultimately these narratives need to come from us,

0:38:39.160 --> 0:38:43.240
<v Speaker 1>not you. Unsurprisingly, none of those interviews made it depress.

0:38:46.560 --> 0:38:51.320
<v Speaker 1>What we're about at large in this season is thinking

0:38:51.360 --> 0:38:55.960
<v Speaker 1>about how we use technology that serves people, not the

0:38:56.000 --> 0:38:59.279
<v Speaker 1>other way around, and that serves collective power, not just

0:38:59.360 --> 0:39:03.640
<v Speaker 1>selfish and of visual power. And when it comes to technology,

0:39:03.719 --> 0:39:08.760
<v Speaker 1>there's so much good intention around sort of pro civic,

0:39:08.880 --> 0:39:13.760
<v Speaker 1>pro democratic, small D movements like open source and open

0:39:13.880 --> 0:39:17.440
<v Speaker 1>data and community sharing. And there's this lens that says like,

0:39:17.520 --> 0:39:23.960
<v Speaker 1>democratizing access to technology makes it equal, makes that tool

0:39:24.080 --> 0:39:27.600
<v Speaker 1>more available to all, which is good. What are your

0:39:27.680 --> 0:39:31.960
<v Speaker 1>thoughts on that in terms of the future of technology

0:39:32.000 --> 0:39:35.799
<v Speaker 1>and and how it affects our access to power? Oh

0:39:35.800 --> 0:39:39.720
<v Speaker 1>my gosh, I have rebel against the phrase democratizing data

0:39:39.880 --> 0:39:45.360
<v Speaker 1>or democratizing science. What type of democracy are we talking

0:39:45.400 --> 0:39:49.359
<v Speaker 1>about here? Are we talking about the American system of democracy,

0:39:49.400 --> 0:39:54.000
<v Speaker 1>because the garbage fire that was the last election year

0:39:54.120 --> 0:39:56.600
<v Speaker 1>should show that this is not a model by which

0:39:56.719 --> 0:40:00.799
<v Speaker 1>we should follow. Any means of any past w equality.

0:40:01.719 --> 0:40:06.520
<v Speaker 1>To preference the American system of democracy over other forms

0:40:06.520 --> 0:40:11.879
<v Speaker 1>of democracy is a form of white colonial thinking. There

0:40:11.880 --> 0:40:14.920
<v Speaker 1>were other forms of democracy that we need to consider,

0:40:15.000 --> 0:40:18.600
<v Speaker 1>like indigenous systems of democracy that have long existed before

0:40:18.800 --> 0:40:26.320
<v Speaker 1>the American system of democracy. We also have to think

0:40:26.719 --> 0:40:35.000
<v Speaker 1>that any system that advocates for benefiting most is going

0:40:35.040 --> 0:40:41.960
<v Speaker 1>to disenfranchise small, underrepresenting communities like our own, like indigenous peoples,

0:40:43.200 --> 0:40:48.240
<v Speaker 1>it's going to continue to disenfranchise minority groups and substantiate

0:40:48.480 --> 0:40:53.959
<v Speaker 1>those power and balances. Democracy does not necessarily mean equality

0:40:54.520 --> 0:41:01.400
<v Speaker 1>or equity, and these definitions of equity should be community

0:41:01.520 --> 0:41:05.960
<v Speaker 1>driven and they're culturally specific. They should not be determined

0:41:06.080 --> 0:41:12.240
<v Speaker 1>by the dominant cultures. But let's also think carefully about

0:41:12.280 --> 0:41:16.960
<v Speaker 1>equality and equity. We have a lot of d e

0:41:17.080 --> 0:41:21.759
<v Speaker 1>I efforts, diversity inclusion and equity efforts across academia and

0:41:21.800 --> 0:41:25.680
<v Speaker 1>across industries. And we get the diversity part and we

0:41:25.719 --> 0:41:29.120
<v Speaker 1>get the inclusion part. Sure, you want our people's data,

0:41:29.360 --> 0:41:33.759
<v Speaker 1>that's that's nothing new. The equity portion though is key,

0:41:34.000 --> 0:41:37.200
<v Speaker 1>and equity is not equality. A seat at the table

0:41:37.280 --> 0:41:42.640
<v Speaker 1>is not the same thing as a voice at the table. Yeah,

0:41:42.960 --> 0:41:45.960
<v Speaker 1>you've done a lot, and I want to share that

0:41:46.120 --> 0:41:49.880
<v Speaker 1>burden and that opportunity. We set up this show to

0:41:50.040 --> 0:41:53.719
<v Speaker 1>encourage people to do things, and on the topic of

0:41:54.640 --> 0:41:58.799
<v Speaker 1>balancing power and on the topic of data more specifically.

0:41:59.560 --> 0:42:02.480
<v Speaker 1>But lay out your thoughts on what we should be

0:42:02.560 --> 0:42:08.600
<v Speaker 1>doing as kindly as I can state this. If you

0:42:08.680 --> 0:42:13.640
<v Speaker 1>are a member that has been historically empowered at this

0:42:13.719 --> 0:42:17.520
<v Speaker 1>point in time, especially when it comes to topics related

0:42:17.520 --> 0:42:21.520
<v Speaker 1>to racism and inequality, and I say this as kindly

0:42:21.600 --> 0:42:24.080
<v Speaker 1>as I can, you need to sit down and shut

0:42:24.160 --> 0:42:30.920
<v Speaker 1>up and listen to the scholars, the people of color,

0:42:31.680 --> 0:42:38.360
<v Speaker 1>the communities and do what they recommend and follow their lead.

0:42:39.360 --> 0:42:43.400
<v Speaker 1>Decision making authorities need to shift to those that have

0:42:43.480 --> 0:42:49.520
<v Speaker 1>been historically disenfranchised. That's how we get changed. If you

0:42:49.600 --> 0:42:54.200
<v Speaker 1>want to advocate for change, you also need to provide

0:42:54.280 --> 0:42:57.439
<v Speaker 1>room for dissenting voices, even if it's hard to hear

0:42:58.480 --> 0:43:03.879
<v Speaker 1>mm hmm. Thank you, Crystal so see so much for

0:43:03.920 --> 0:43:09.400
<v Speaker 1>your time, your teachings, your talent, and your portmanteaus. I

0:43:09.480 --> 0:43:19.600
<v Speaker 1>really appreciate you. Thank you that word too. Crystal wants

0:43:19.640 --> 0:43:23.520
<v Speaker 1>people to listen. It's not enough just to raise awareness though,

0:43:25.200 --> 0:43:28.920
<v Speaker 1>when we think back to the citizening principles, Crystal wants

0:43:28.960 --> 0:43:31.960
<v Speaker 1>people to show up, but also to make space for

0:43:32.000 --> 0:43:34.320
<v Speaker 1>those who haven't been able to show up, who haven't

0:43:34.320 --> 0:43:39.480
<v Speaker 1>been able to citizen due to historical and systemic oppression. Now,

0:43:39.480 --> 0:43:42.000
<v Speaker 1>as we're building out these new systems built on data

0:43:42.040 --> 0:43:44.800
<v Speaker 1>and new technologies, we have to make sure we aren't

0:43:44.800 --> 0:43:49.240
<v Speaker 1>repeating the old methods of extraction and exploitation and disenfranchisement.

0:43:50.480 --> 0:43:53.760
<v Speaker 1>Neither a majority white government nor a majority white business

0:43:54.160 --> 0:43:57.800
<v Speaker 1>should be determining the tribal membership status of an Indigenous person.

0:43:58.480 --> 0:44:02.760
<v Speaker 1>That don't make any damn sense. We have this opportunity

0:44:02.800 --> 0:44:06.680
<v Speaker 1>to close gaps and undo harms caused by justice sort

0:44:06.719 --> 0:44:10.239
<v Speaker 1>of thinking, and start taking justice into account when we

0:44:10.360 --> 0:44:14.800
<v Speaker 1>use data. And after reflecting on both of these conversations

0:44:14.960 --> 0:44:18.319
<v Speaker 1>with Crystal and with Kasha, I think the answer to

0:44:18.440 --> 0:44:23.600
<v Speaker 1>data justice actually goes both ways. Yeah, we need more

0:44:23.680 --> 0:44:27.719
<v Speaker 1>diverse data sets, just like we need more diverse corporate boards,

0:44:27.760 --> 0:44:30.680
<v Speaker 1>but not just that, you know, we also need to

0:44:30.760 --> 0:44:33.960
<v Speaker 1>change the way corporations wield power, and we need a

0:44:34.040 --> 0:44:39.160
<v Speaker 1>data ecosystem where people have agency over their data, specifically

0:44:39.200 --> 0:44:42.800
<v Speaker 1>those people who have been cut out of or abused

0:44:42.840 --> 0:44:48.359
<v Speaker 1>by our current system. One of our pillars of How

0:44:48.400 --> 0:44:52.440
<v Speaker 1>to Citizen is restoring power to the people, and one

0:44:52.520 --> 0:44:55.360
<v Speaker 1>of the biggest gaps of tech is that it's used

0:44:55.360 --> 0:44:58.840
<v Speaker 1>to disempower folks from literally showing up for themselves and

0:44:58.920 --> 0:45:02.880
<v Speaker 1>for others. Because how we get misrepresented in data and

0:45:02.920 --> 0:45:08.000
<v Speaker 1>the effects that that can have on our choices. Both

0:45:08.080 --> 0:45:12.080
<v Speaker 1>Kasha and Crystal show us examples of people taking that

0:45:12.200 --> 0:45:17.800
<v Speaker 1>power back. When thinking about this show How to Citizen,

0:45:18.200 --> 0:45:21.440
<v Speaker 1>I think we need to keep breathing new life into

0:45:21.480 --> 0:45:25.600
<v Speaker 1>this citizen verb and apply the lessons of our guests

0:45:25.760 --> 0:45:30.520
<v Speaker 1>and evolve as well. So citizen, what does that mean?

0:45:31.760 --> 0:45:34.640
<v Speaker 1>I think it should also mean that we explicitly seek

0:45:34.760 --> 0:45:39.120
<v Speaker 1>to distribute power and resources to those long excluded from

0:45:39.200 --> 0:45:45.880
<v Speaker 1>systems of citizen it. Next week we dive into the

0:45:45.960 --> 0:45:49.719
<v Speaker 1>Mystic and I learned about the link between chicken farms,

0:45:49.880 --> 0:45:53.680
<v Speaker 1>blockchain logic, and tarot. I know that sounds like a

0:45:53.719 --> 0:45:57.640
<v Speaker 1>word salad, but trust me, it's a dope conversation. Picture

0:45:57.680 --> 0:46:00.919
<v Speaker 1>of the chicken how many steps it took? Because they're

0:46:01.000 --> 0:46:04.239
<v Speaker 1>like a phenomener like All the Chicken Got It sent

0:46:04.280 --> 0:46:08.799
<v Speaker 1>thousand steps in Let's Eat Chickens and blockchain Come on now,

0:46:10.760 --> 0:46:16.919
<v Speaker 1>m And now it's that time in the episode where

0:46:16.960 --> 0:46:20.239
<v Speaker 1>we share some actions that you can take. First, up

0:46:20.719 --> 0:46:25.920
<v Speaker 1>a thinking exercise, ask yourself, how much is my data

0:46:25.960 --> 0:46:28.640
<v Speaker 1>privacy worth to me? And how do I feel about

0:46:28.680 --> 0:46:32.799
<v Speaker 1>non consensual surveillance based on my data? Now, adding the

0:46:32.840 --> 0:46:36.319
<v Speaker 1>element of genetic information, how would you feel if any

0:46:36.360 --> 0:46:40.480
<v Speaker 1>of your biological relatives donated genetic info tied to you

0:46:40.560 --> 0:46:44.680
<v Speaker 1>that could be bought and sold. Next, I want you

0:46:44.719 --> 0:46:49.319
<v Speaker 1>to get informed about exploitative data collection historically and right

0:46:49.320 --> 0:46:52.760
<v Speaker 1>now we've linked to three articles in the show notes

0:46:52.800 --> 0:46:56.680
<v Speaker 1>and on our site. And then finally, here are some

0:46:56.719 --> 0:47:00.680
<v Speaker 1>ways to publicly participate. You can help empower or indigenous

0:47:00.719 --> 0:47:04.400
<v Speaker 1>scientists working with tribal communities to ensure that the benefits

0:47:04.400 --> 0:47:08.120
<v Speaker 1>of biomedicine and public health go to indigenous people by

0:47:08.160 --> 0:47:12.239
<v Speaker 1>making a donation to the Native Biodata Consortium check them

0:47:12.239 --> 0:47:16.120
<v Speaker 1>out online, And help protect yourself and slow the market

0:47:16.160 --> 0:47:19.240
<v Speaker 1>for selling all of our data by installing the Global

0:47:19.320 --> 0:47:22.960
<v Speaker 1>Privacy Control. This is a feature of certain web browsers

0:47:22.960 --> 0:47:25.239
<v Speaker 1>that lets you signal to a site. You know, don't

0:47:25.280 --> 0:47:28.240
<v Speaker 1>be trading all my information and it's backed by law.

0:47:28.920 --> 0:47:31.400
<v Speaker 1>We've got linked to all this in the show notes

0:47:31.760 --> 0:47:35.600
<v Speaker 1>and on our website at how to citizen dot com.

0:47:35.719 --> 0:47:38.560
<v Speaker 1>Follow us on Instagram at how the Citizen and tag

0:47:38.680 --> 0:47:43.240
<v Speaker 1>us in your post about data or exploitation or anything.

0:47:43.239 --> 0:47:45.120
<v Speaker 1>We're not anything I don't want like posts about you

0:47:45.160 --> 0:47:47.640
<v Speaker 1>trying to do a TikTok dance or something, So one

0:47:47.719 --> 0:47:49.480
<v Speaker 1>or two of those might be fun make my life

0:47:49.520 --> 0:47:58.279
<v Speaker 1>more interesting. Thanks for listening, and keep citizen. How the

0:47:58.360 --> 0:48:00.839
<v Speaker 1>Citizen with baritune Day is a duction of I Heart

0:48:00.920 --> 0:48:05.000
<v Speaker 1>Radio Podcasts and dust Light Productions. Our executive producers are

0:48:05.080 --> 0:48:08.600
<v Speaker 1>Me Barrett tune Day, Thurston, Elizabeth Stewart, and Misha Usa.

0:48:09.040 --> 0:48:13.040
<v Speaker 1>Our senior producer is Tamika Adams, our producer is Ali Kilts,

0:48:13.440 --> 0:48:17.080
<v Speaker 1>and our assistant producer is Sam Paulson. Stephanie Cohen is

0:48:17.080 --> 0:48:20.720
<v Speaker 1>our editor, Valentino Rivera is our senior engineer, and Matthew

0:48:20.800 --> 0:48:24.440
<v Speaker 1>Laie is our apprentice. Original music by Andrew Eapen, with

0:48:24.480 --> 0:48:28.600
<v Speaker 1>additional original music for season three from Andrew Clawson. Additional

0:48:28.600 --> 0:48:32.480
<v Speaker 1>production help from Arwin Knicks. This episode was produced and

0:48:32.560 --> 0:48:35.959
<v Speaker 1>sound designed by Tamika Adams. Special thanks to Joel Smith

0:48:36.000 --> 0:48:38.759
<v Speaker 1>from I Heart Radio and Rachel Garcia at dust Light

0:48:38.840 --> 0:48:39.240
<v Speaker 1>Production