WEBVTT

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We have a big deal.

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We have a big deal.

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We have a general fund for now.

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We're talking about business, business,

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business, technologies, and the infrastructure.

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Sounds right.

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How we would be if we was a different talk.

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Okay, so my first time at FosterM,

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so this has been amazing.

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And I fully expected to be able to have a break

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between presentation I saw this morning

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and this could put together some more robust slides.

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I ended up getting into a lot of conversations

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and all right.

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I've had no time.

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So I've got a couple that are specific to this talk

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and then I'm going to recycle some slides

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from an earlier talk.

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So apologies for that, but also great content.

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I hope everyone has had a chance

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to read this wall of text.

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It's the only real wall of text that exists.

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Does anyone know what this is about up here?

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Already?

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It's too long.

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It's too long.

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Take a second.

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So as you finish, as you finish reading,

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I'm not kidding.

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Fantastic.

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Some people do.

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As you finish reading,

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let's take back to 18.

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I think it's 54.

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There was an outbreak in Chicago.

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Oh, it's either malaria or cholera,

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something, just really.

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It killed 6% of the population.

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This is because Chicago at the time

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was built kind of in a ditch from the surrounding area.

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So water would get down into the city and just kind of pool there.

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And as we all know, cities are generally filthy,

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because humans, we are what we are.

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And if there's water there, it's going to stay stagnant.

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It's going to breed disease.

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And well, it did.

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And they killed, again, 6%.

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That's a lot of people.

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But being who they were at the time,

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the people of Chicago got together and said,

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hey, our infrastructure is not really good enough.

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It's killing us.

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So they went around and they literally rose the city.

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Feet, like six, seven, eight feet.

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One building at a time, one block at a time,

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and put a sewer system in under the cities.

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There were some wooden cities.

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There are some wooden buildings that maybe weren't going to exist

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in the new future.

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And they took those and they put them to the outskirts.

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They moved the buildings to the outskirts of the city.

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But for the most part, all the masonry

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was, again, blocks at a time.

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Like full city blocks raised up on thousands of screws.

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Like jacks.

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And they would screw them in.

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It was slowly raised the building.

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And they installed sewer.

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This is mind blowing to me.

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They did it in a way, is this person's describing

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that the public, they didn't shut anything down.

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The public kept going to these stores while they were actively being raised.

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And people didn't notice until one day,

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they walk outside and hey, the windows are above my head.

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And what's going on here?

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So this is a picture of them actually doing that to one of these buildings.

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And I've got to stress this.

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This is in higher city blocks the way we envision them now.

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The buildings were maybe a little smaller.

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Five stories, six stories.

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But it's thousands and thousands of pounds.

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So if they can do that, there's no reason to think we can't do that

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for the digital cities that we live in right now.

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And one of those digital cities,

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as I think is in desperate need of some jacking up

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new infrastructure, is a scientific city.

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The tools on which we operate might not enable the future of world,

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which we would like to see when this open,

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inclusive and accessible.

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So maybe it's time we raise all the research we're doing.

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Let it still continue.

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But while it's continuing, build some new stuff under it.

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And I think let's show off hands,

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who's in like a working group or an interest group that's related to reproducibility

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or any aspect of science, the scientific process.

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Everyone.

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So why hasn't this been fixed yet?

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Like we're all talking about it.

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We got to do it.

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So me and some friends came up with the potential problem

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is that we're all talking about it.

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And maybe it's because a lot of us are from a research background

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and we like to look into the problem and assess the problem

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and say what the problem is and then suggest a solution.

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And that's kind of where we stop.

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Well, there's another group of society that like to start exactly where that stops.

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They like to start with a potential solution and build it out and then see what happens

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and they like to build very, very quickly.

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So what we created an organization that tries to co-locate these two groups of people,

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researchers and technologists.

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And the crazy reality is there's a bunch of technologists that are already building

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scientific infrastructure without having ever spoken to a researcher.

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They're just like, yeah, this is what I think they need and they start building something

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and then it's never used because they built the wrong thing.

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If only they were in the same room or if there's research there saying,

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could you please build this for me?

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Could you please build that for me?

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And it turns out when we started doing this, people started developing stuff

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very quickly.

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Because again, the current system doesn't necessarily work really well.

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So it's not a big challenge to start building this stuff.

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The actual building is a challenge but to identify what to build is not terribly difficult.

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So I'm going to go through a couple of things that we're building very quickly.

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And then I would really like to have a conversation about what folks think is necessary

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to build a better sewer system so we stop dying to cholera or malaria.

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All right, so public identification, DOIs.

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We all know them.

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We all have a love hate relationship with them, I imagine.

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There are some problems with them.

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Link rot, content drift, things like that.

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The way they're maintained, the way they scale.

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They're built for manuscripts for PDFs, which were developed in the early 90s

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if I remember correctly, and it's currently 2025.

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So when we're now seeing a lot of data and a lot of code that needs to get cited,

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DOIs probably is not the best way to do all of that.

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You shouldn't need to take your GitHub repo and go put it on Zenodo to get a DOI.

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And then try, yes, I'm working on a project that's trying to connect research software

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with the papers that use that research software.

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And so we scrape repos for DOIs, and then go on Open Alex and try to determine which papers.

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It's a mess.

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Even if you have the DOI in the repo, there's just like not a practical solution.

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So a new identifier needs to be made.

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There are a lot of different solutions out there.

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I'm familiar with one called RAIDs.

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Well, we built our called DPIDs decentralized persistent identifiers.

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They scale really well, and the really great thing is you can assign them to any artifact of research.

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And then have kind of a top level DPID that talks about the entire research object.

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And then within that object you have the granular DPIDs.

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If you just want to cite the data, if you just want to cite the code,

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if you just want to cite one function within the data, one line within that function,

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you can do that.

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If you want to cite a comment that someone left, you can cite that comment,

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because we all know research is a conversation.

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Not an output.

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They're fantastic.

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And they're not the only ones out there.

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I want to stress that.

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But this resulted the group that's building this.

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I want to stress really quick.

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Me and my friends who started this nonprofit, we are facilitators.

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We do not build the stuff ourselves.

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We help translate language because there is a language barrier between researchers and technologists.

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And we help move stuff forward.

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So the people who are building this, the team behind it,

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is led by a researcher out of view.

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I can't pronounce it, but it's in Amsterdam.

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Fantastic economist.

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And he's identified the problem.

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Found some funding.

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Found some developers who would help build this thing.

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And in two years, this now exists.

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There is also infrastructure that lets people publish everything.

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Everything.

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Everything.

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It's overwhelming.

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It's a lot of spam.

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But we'll get to that in a second.

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So there is no gated publishing model anymore.

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If you do research at any level, you don't need to publish the nature.

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You don't need to go through the traditional publishing route.

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You just put it out there.

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You don't even need to get peer review.

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The stuff that your life is doing is amazing.

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And they lost their impact.

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Different talk.

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So now that technology exists to make publishing accessible.

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Discover something.

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Get it out there.

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Let's see what happens after that.

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Even if it's garbage.

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Maybe it won't be garbage in 50 years.

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And someone needs to be able to access it.

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So I already talked about the granular citation.

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That it happens when you can publish everything with this new type of identifier.

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That lets you identify everything.

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You can cite everything.

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Makes it really simple.

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Sometimes you don't want to cite the entire manuscript.

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Because that's a full PDF.

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It's really long.

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Maybe we shouldn't use PDF anymore.

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But again, another talk.

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Automated metadata.

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When you're publishing everything, it gives other tools.

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More data on which we can build tools, which can inform other tools that can automate the metadata population process.

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That would be great because I know that no one likes putting in the metadata that makes my life when I'm building that project.

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So much easier.

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If I know what your software is used for, I can put it in my another other tool.

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In order to know that, you have to put the proper metadata behind your software.

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And most people don't.

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It's not fun.

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Assessment tools.

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Okay, so if you're publishing everything, literally everything.

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How can we determine what is the garbage?

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What is that one sentence that someone just published?

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And what is an actual robust piece of research?

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Well, you need a curation layer.

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Part of that curation layer is going to be automated assessment tools.

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That look for key identifiers of, hey, this is robust research.

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I had methodology that is validated or verified by a bunch of people who are trusted in perhaps this thing that we might call a web of trust.

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And because of that, we can elevate it to a layer where we can bring people into the equation and have them curate it from there.

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And that those people come in with the community peer review, where the tools that we're helping build.

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I love to bring the curation power or the journal power back to scientific communities.

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So you can attest to the fact that a piece of research has opened data or even has data or has it's code available.

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Things like that.

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And then those attestations can be utilized again by the assessment tools to do that first pass over that big,

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quite a mile of nonsense that is inevitably going to exist on an open repository.

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In the same vein, these three tools, essentially, automated data assessment tools and community peer review infrastructure,

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enable attestation containers for open source.

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So if your repository is critical to climate research, which is one of the great conversations I was having earlier today, that kept me away from slides.

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You can say, you can claim that, hey, my research is critical.

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Or my software is critical to the climate research.

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And then people can come in and attest simply.

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Yes, no.

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And the person who says yes and the person who says no, they have a record behind them that says, you should trust this person who said yes.

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Or maybe you should wait for someone who's more trusted to say yes to this.

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If you're going to say distribute funds to important climate research software.

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And then the last thing that we're working together on is a conference that is built entirely on this new infrastructure.

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So the publication submissions, the peer review, the acceptance, the attestations, all of it exists in one event.

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We call it the Institute of Open Science Practices.

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Our first one is in Denver at the end of February.

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And we had 13, I think submission so far.

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And they went through the process using some of these tools.

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And the researchers are starting to use some of these tools.

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And they're giving feedback and saying, please don't build this anymore.

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We don't need it.

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Or this is fantastic.

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Please keep building it.

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And more often it's the latter.

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Because again, the whole point is when these tools were started to be built, a researcher was the one who started it.

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It wasn't someone else.

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So someone who needed a solution to a problem.

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And then technologists came along and took it from there.

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So if we're going to abstract this a little more, this is what we're trying to avoid.

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So what the, the iOS, which is the org, is working on doing is merging academia with open source tech communities and local communities.

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Because at the current rate, we're going to end up with an ecosystem where we just have rebuilt siloed institutions,

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where we don't talk to local communities.

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We don't talk, we just start developing stuff that we like.

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That's kind of what open source is.

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It's beautiful.

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But there is a risk that we become an industrialized system of open source.

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Where we, again, are not looking for the right purposes.

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So what we're trying to do is eventually merge all of these things together.

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And I'm not great at slides.

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So this is supposed to all, like,

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and great shiny light, you know, save your sort of stuff.

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But that's the idea.

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Because it really, the software that is built by the people here is used by everyone.

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It's a public good.

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It is the public is the core benefactor of everything that's built in technology.

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And the public has to live with it, whether they like it or not.

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So the public should be in the room when it comes to building technology.

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And what siloed as to saying is, well, researchers should also be in the room when building.

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Research technology because of the ones that are going to use it.

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The ones that need it, the ones that know the problem so intimately.

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So that's largely all I've got for you.

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Happy to entertain questions or have a conversation.

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Or anything for the many comments?

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Yeah.

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Hello.

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I'm working, actually, for the software I teach,

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which is one, we believe we are building one of the pillars of what you're talking about.

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We're keeping all the software safe forever.

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Software, software, software, software server.

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All the software, software, set table easily for the long term,

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which are a bunch of properties that you will require you to retire in BSArea.

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And within we are working in life, for example,

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so that the other software they have in our archive.

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So, I mean, we should talk a little bit.

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Yeah, absolutely.

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I don't know if you're aware of the project, you open project like so far.

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So far, I took project, just handling just addressing several aspects of what you are in these slides.

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So, yeah, absolutely.

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And this is a crazy thing we're discovering too.

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A lot of people are building these repeated requests.

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He's also building some of this technology.

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A lot of, what something we're finding is a lot of people are building different solutions to different problems.

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And there's a little awareness of who else is building something.

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So, as we start doing these workshops, people come up and be like, oh, can we can walk?

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We do this because we're also doing it.

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And getting everyone in the room to build one final standard, I say,

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tongue and cheek.

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Oh, yeah.

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But that's the idea.

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So, we can work together to build a solution that ultimately works.

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Because if we go back to this picture, like, this is thousands of people all turning

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in a screw at the same time to raise a building.

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You can't try to, and they had to go systematically through the city to raise one building at a time.

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And I didn't say this.

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They didn't break anything.

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There was no structural damage done to any of the buildings during all of this.

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It's insane.

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So, we can't just be over here turning a screw and then someone else is over there going the other way.

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And then we got to be in the same room working together building stuff.

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And people are very excited to do that.

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So, at some point, I suspect the problem here is quite simple to all agree on what we should do.

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We're in this kind of example.

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The problem we are trying to solve is less easy to describe than agree on on all the aspects.

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So, I'll talk about it.

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There's just a limitation of this image probably.

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It would be interesting to see, because, yeah,

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some stuff you just got to build something that works better than the other.

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Question over here, and we'll have that.

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It was a really great talk.

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I just wanted to ask about the Ragniversiteation Identification Introduction.

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Since Lanniversite can be pretty, you know,

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we can have functions, objects, methods, comments, or something like that,

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or you want to say data data in different formats.

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So, we have any standards in place for that Ragniversiteation.

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We want to be standard agnostic because of XKCD.

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So, it's about building that infrastructure.

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Are there any standards for the Ragniversiteation aspect, the tech they were building?

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No, the idea is to build the sewer through which the mess can flow,

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and not necessarily build a treatment plant or anything like that.

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We just want to build the pipes and tubes that host the data and everything like that.

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So, I was also going to mention sulfur heritage as kind of a net first work,

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but it kind of made a bigger question.

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When you have a list of things that you are trying to put together,

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one thing.

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There's often a choice between doing things that's kind of everything is integrated into one thing,

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versus having lots of little pieces that open together.

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And in some ways, it's been sounded to me like,

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you're building all the pieces in or they all kept together,

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as opposed to trying to find solutions and work for different pieces

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that you can bring together where you're not,

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or other people responsible for some of them.

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So, I guess I'm just wondering kind of about that,

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as a way of creating something that's kind of centralized versus decentralized approach,

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which seems a little bit of a waste of kind of what your Ragniversite is.

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Yeah, so, the centralized versus centralized,

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it seems like there's a lot of stuff that is needs to be built from the ground up,

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and a lot of stuff that could just mean an algorithmation of a lot of things that already exist,

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and what's that sort of how are you taking that approach.

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So, things like a repository of knowledge,

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having multiple different databases doesn't seem practical,

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so there should be a type of database or repository that just has all of research.

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That seems practical to me, but at the same time that practical,

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that's quite a challenge, but it seems to be working so far.

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The, which one, assessment tools, automated assessment tools,

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we're working with a group called Koara E-Rip to build this,

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and that is likely going to be an algorithmation of a lot of assessment tools that already exist,

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just put together in a simple application,

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because of the same problem before,

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a lot of people have built parts of this,

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but they exist, spread out all over the place,

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so we just need to bring them together.

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So, there's both.

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I think.

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Yeah.

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On this slide, actually, do you have something around permission working?

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Yeah.

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And obviously, the permission system right now has,

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suffers from lots of bad stuff,

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and doesn't protect your paper instruments.

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Yep.

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But, for instance, with paper meals or when I generated AI articles,

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that's all about stuff, I can see how with this system,

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it's not going to be even bigger problem.

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Do you have ideas on how to separate meaningful science from everything else?

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Do I have ideas on how to separate meaningful science from everything else

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as it relates to the published everything layer?

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What are you doing for dinner?

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It's a very long conversation.

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But, yes, there are people trying to solve this problem.

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And the idea is as soon as you put a gate on something,

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you've kind of blocked it off.

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Like that gate will get abused eventually.

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So, we want to build a gate-less system,

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and then figure out how to deal with the mess afterwards.

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And there are ways.

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We think.

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One of combining some of their community elevation tools work.

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For example, it's fairly easy to make a website at this point,

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but we all know the big popular good websites.

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Why do we know that?

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It just becomes, there are people who tell us what website to go to

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because they respect that website and we respect them.

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So we go to that website.

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That sort of thing can be built out technically.

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But that's a very bad analogy at the same time,

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because it's a very complex problem.

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Over there.

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Oh, he totally shouldn't.

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So, why do DPI-D is, why are they better than DOS?

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So, DOS have a lot of legacy to them.

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They are critical to the advancement of a career research

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right now.

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So there's no reason to stop using them.

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DPI-D is scale much better than DOS.

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We can produce practically an infinite amount of DPI-D is

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for next to zero cost, and we is anyone.

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You don't need permission to produce a DPI or anything like that.

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You can have a nested DPI tree.

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So you have that DPI of a full research object that also within

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it contains a bunch of DPI-Ds with a full research object.

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Then you have a bunch of DPI-Ds that exist for every granular

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artifact under that.

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Once a DPI-D is assigned to a digital artifact that's published on this digital repository,

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it will always resolve to that digital artifact no matter what.

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You will never get a 404 assuming that someone is still hosting that data somewhere.

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You will never get a 404 and you will never get something completely unrelated to that,

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which is the content drift problem.

22:58.000 --> 23:02.000
There's a couple more, but if you want to get into the technicals,

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I can connect you to the people who are building this.

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I'm a humble facilitator, and they can explain it much more than I do.

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Though I do pick up a lot by being in the same room.

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That's the only thing.

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Happy to connect.

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Happy to connect.

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Yeah.

23:21.000 --> 23:22.000
Thank you.

