WEBVTT - Work With Me On This

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey there everyone, and welcome to Forward Thinking

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<v Speaker 1>the podcast and looks at the future and says, let's

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<v Speaker 1>get together. Yeah, yeah, yeah, I think of all that

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<v Speaker 1>we could share. I'm Jonathan Strickland, I'm Lauren voc Obama,

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<v Speaker 1>and I'm Joe McCormick. And today we wanted to talk

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<v Speaker 1>about working together, really collaborating, you know, sharing, holding hands,

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<v Speaker 1>holding hand I'm against it, Lauren. Lauren's not with us

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<v Speaker 1>on this one, Joe. It's just me and you against Lauren. Well,

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<v Speaker 1>we can hold hands and she can't. We can, that's true.

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<v Speaker 1>She can only hold her own all right. So and

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<v Speaker 1>by the way, Lauren can hold her own anyway. So

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<v Speaker 1>we're going to talk about really collaboration and the sense

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<v Speaker 1>of how collaboration is contributing to innovation and invention. And

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<v Speaker 1>this is something that's interesting to me because, for one thing,

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<v Speaker 1>we tend to have this kind of concept in our

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<v Speaker 1>minds about inventions are the product of a soul inventor,

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<v Speaker 1>a man or woman who is working feverishly and all

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<v Speaker 1>in a laboratory and suddenly shouts out eureka, and there

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<v Speaker 1>and invention is is created out of thin air. But

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<v Speaker 1>that's not really how it tends to happen. Yeah, who's

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<v Speaker 1>the person who invented the light bulb? Well, you know,

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<v Speaker 1>the common answer is Thomas Edison, that Thomas Yison invented

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<v Speaker 1>the incandescent lightbulb, the filament lightbulb, and that's not actually accurate.

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<v Speaker 1>First of all, there were other people who are working

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<v Speaker 1>on incandescent light bulbs before Edison was. Secondly, Edison had

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<v Speaker 1>at his disposal a multitude of engineers who were working

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<v Speaker 1>on various projects projects, including the light bulb. He actually

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<v Speaker 1>took something that had already existed and made improvements upon

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<v Speaker 1>it so that it became something viable, something that the

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<v Speaker 1>average person could actually use, as opposed to something that

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<v Speaker 1>proved the principle was was sound but wasn't actually practical. Well,

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<v Speaker 1>surely Alexander Graham Bell is solely responsible for inventing the telephone, right, No,

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<v Speaker 1>not exactly. In fact, you could also argue that not

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<v Speaker 1>not only was Alexander Graham Bell working on something that

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<v Speaker 1>other people were also working on, some with him and

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<v Speaker 1>some independently, but or before him, he was he was

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<v Speaker 1>building on technologies that had already existed. This is the

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<v Speaker 1>same problem you have if you say, well, who invented

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<v Speaker 1>the television or who invented the radio? Because as it

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<v Speaker 1>turns out, these are actually very complicated stories. You could

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<v Speaker 1>easily say, oh, Marconi invented the radio. I'm sorry, I

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<v Speaker 1>meant Tesla, Tesla invented the radio. Sorry Internet, But no,

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<v Speaker 1>neither is actually true. It turns out that these are

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<v Speaker 1>inventions that came to us because of numerous engineers and

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<v Speaker 1>scientists working on basic scientific principles that led to the

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<v Speaker 1>development of these technolog Yeah. I think it's almost a

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<v Speaker 1>function of the way we like to hear stories. Sure

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<v Speaker 1>that that gives us this way of approaching the history

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<v Speaker 1>of invention. Um, it's the fact that we like single

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<v Speaker 1>characters responsible for actions anti hero Furthermore, I mean, you know,

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<v Speaker 1>it's much more interesting if if Han solo invented the telephone,

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<v Speaker 1>then if you know, I don't know, all of the

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<v Speaker 1>Empire worked together on it, Han called first. So but

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<v Speaker 1>also not only that, but that we'd like to have

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<v Speaker 1>stories to have a beginning, middle, and end, right, we don't.

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<v Speaker 1>We don't like stories that have this bleed over where

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<v Speaker 1>you don't really have a point that you can say

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<v Speaker 1>this is exactly where it started and here is where

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<v Speaker 1>it ended. It's just not the way that history actually works,

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<v Speaker 1>but it's the way our minds tend to try and

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<v Speaker 1>file information. Yeah. I think it's actually pretty rare, if

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<v Speaker 1>not completely impossible, um to look at history and find

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<v Speaker 1>an example of somebody who really invent did something in

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<v Speaker 1>a vacuum that they were just this person is solely responsible. Ironically,

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<v Speaker 1>the vacuum is a great example of that. I'm just kidding.

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<v Speaker 1>I couldn't take I had to had to take the vacuum.

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<v Speaker 1>I honestly do not know. I just had to jump

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<v Speaker 1>in on that one. D Yes, exactly. Why do you

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<v Speaker 1>think it's called run by a man called Hohover? I

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<v Speaker 1>think Richard James was the sole inventor of the slinky,

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<v Speaker 1>So if that makes you feel any better, although because

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<v Speaker 1>springs existed before the slinky completely, no, he didn't, but

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<v Speaker 1>he invented what what became the slinky. You know, he

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<v Speaker 1>took he took something that was being used in the

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<v Speaker 1>navy and made a toy out of it. Certainly, I

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<v Speaker 1>mean there's there's usually some kind of inception of concept

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<v Speaker 1>that people that that an inventor or a small team

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<v Speaker 1>of inventors will kind of clarify and and put out

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<v Speaker 1>there and go like this new thing tots works. Guys.

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<v Speaker 1>The point we're trying to make is that mostly inventions

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<v Speaker 1>that we are relying upon today are in fact the

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<v Speaker 1>result of collaborative efforts between many people. Even if it's

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<v Speaker 1>it could be a formal collaboration where people are actively

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<v Speaker 1>working together in order to achieve something specific, or it

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<v Speaker 1>could be informal in the sense that someone picks up

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<v Speaker 1>where another person left off and continues work that way.

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<v Speaker 1>But really collaboration is kind of the name of the game,

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<v Speaker 1>or it's it's certainly becoming that way, and especially given

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<v Speaker 1>that say things like the Internet are letting us collaborate

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<v Speaker 1>more deeply and across further spaces, more and more distant

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<v Speaker 1>spaces then previously it's it's becoming a much more rich

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<v Speaker 1>field now, Lauren, I understand that you actually looked into

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<v Speaker 1>some interesting statistics when it comes to patents that kind

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<v Speaker 1>of kind of illustrates this idea, right. Yeah. According to

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<v Speaker 1>a patent law blog, since the nineteen seventies, the average

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<v Speaker 1>number of inventors that's been listed on patents has crept

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<v Speaker 1>up from from about one point six in nineteen seventy

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<v Speaker 1>two about two point five in the year two thousand

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<v Speaker 1>UM and overall, the number of one inventor patents has

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<v Speaker 1>declined from again in about sixty down to about while

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<v Speaker 1>the number of three plus inventor patents has risen from

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<v Speaker 1>ten to up to about So. I mean, that's only

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<v Speaker 1>in the US, and it's a relatively small sliver of time,

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<v Speaker 1>but I still think that it's it's it's an interesting trend.

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<v Speaker 1>It does illustrate what we're saying here. The number of

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<v Speaker 1>patents has also been going up also, Yeah, yeah, so

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<v Speaker 1>the the sheer number is definitely increased year over year. Uh.

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<v Speaker 1>And we're getting to a point now where entire industries

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<v Speaker 1>are becoming multidisciplinary, meaning that there are industries that depend

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<v Speaker 1>upon contributions from people who specialize in very different fields. Now,

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<v Speaker 1>this is also a fairly recent development if you look

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<v Speaker 1>at all of human history, right, I mean, if you

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<v Speaker 1>go back just a few if you go back a

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<v Speaker 1>few centuries, you can get to a point where it's

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<v Speaker 1>feasible for a human being to reach a point where

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<v Speaker 1>they have learned more or less the cutting edge of

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<v Speaker 1>of of human knowledge in a specific area, or even

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<v Speaker 1>across a couple of areas, if you go back far enough,

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<v Speaker 1>like let's say, we'll go to the ancient Greeks, who

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<v Speaker 1>were pretty smart guys. Right, you get back to right, thanks, Joe. Yes,

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<v Speaker 1>In fact, some of the ancient Greeks were pretty smart guys.

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<v Speaker 1>But you can get to you your point to someone

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<v Speaker 1>like uh, Socrates or Plato or Aristotle, someone especially like Aristotle.

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<v Speaker 1>Aristotle was the person who ends up inspiring things like

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<v Speaker 1>logic and biology as actual areas of study. At that time,

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<v Speaker 1>you can have someone who not only is a specialist

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<v Speaker 1>in a particular field, but actually has a body of

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<v Speaker 1>knowledge that spans all fields of human knowledge. At that time,

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<v Speaker 1>they're basically an expert on almost everything their culture knows. Right,

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<v Speaker 1>and then as the cultures get more complex, as our

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<v Speaker 1>body of knowledge grows, and those disciplines become deeper and

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<v Speaker 1>more rich, it becomes increasingly difficult to be the master

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<v Speaker 1>of multiple disciplines. And today we have disciplines that are

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<v Speaker 1>so incredibly vast and deep that even to be a

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<v Speaker 1>master of a single discipline is covers a lot of

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<v Speaker 1>different specializations within that. Right, you might not you might

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<v Speaker 1>not find someone. I doubt you could point to anyone,

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<v Speaker 1>anyone in the world who would be the leading expert

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<v Speaker 1>on medicine. That's just too big a field you're you're

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<v Speaker 1>talking about, you know, I mean, you could have a

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<v Speaker 1>leading expert in terms of just relative placement. Maybe this

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<v Speaker 1>person knows more than anybody else. I don't know how

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<v Speaker 1>you know who that person is, right, but you or

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<v Speaker 1>someone who's a really good spokesperson and or a really

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<v Speaker 1>good researcher. But I'm saying looking at the top level. Off,

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<v Speaker 1>if you got five specialists, right, you've got someone who

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<v Speaker 1>was each oncologist, right, you know, you get you get oncology,

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<v Speaker 1>you get you know, pediatrics, you get all of the

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<v Speaker 1>different fields of medicine, the major fields of medicine together,

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<v Speaker 1>and you get the leading expert in each of those,

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<v Speaker 1>and then you take the person that you think is

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<v Speaker 1>the leading expert in medicine overall. I guarantee you those

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<v Speaker 1>those people who are specialists are going to have a deeper,

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<v Speaker 1>more nuanced, uh grasp of those fields than the you know,

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<v Speaker 1>jack of all trades approach. Right, So you're not going

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<v Speaker 1>to get someone who is the leading specialist or the

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<v Speaker 1>leading expert in a huge discipline who is going to

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<v Speaker 1>have that same level of knowledge as someone who is specializing.

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<v Speaker 1>So multidiscipline approach is really necessary. Even within a single discipline,

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<v Speaker 1>you have these little subdisciplines. So if you have something

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<v Speaker 1>as broad as as medicine obviously, and you want to

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<v Speaker 1>tackle something like cancer, you actually are probably gonna be

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<v Speaker 1>working with a couple of different specialists, not just an oncologist,

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<v Speaker 1>but others as well, who are leading giving their expertise

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<v Speaker 1>to research and development of treatments. Certainly, and beyond that

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<v Speaker 1>you need to start considering the other societal impact factors,

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<v Speaker 1>which is a little bit of an industry pint I

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<v Speaker 1>apologize for um that that are going to affect your research,

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<v Speaker 1>like the laws of getting a drug out to the public,

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<v Speaker 1>for example. Sure, yeah, I mean obviously there's lots of

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<v Speaker 1>things to practically consider beyond just the research side. Yeah.

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<v Speaker 1>And one thing that's, uh, that's a big deal in

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<v Speaker 1>medicine today is you can't just know about the body

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<v Speaker 1>when you become a doctor. These days, you're you can't

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<v Speaker 1>just know, well, here's anatomy, here's where this organ should be,

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<v Speaker 1>here the symptoms of this disease, because lots of the

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<v Speaker 1>treatments we have involved advanced knowledge of other fields. Say

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<v Speaker 1>you might need to know a little bit about physics

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<v Speaker 1>in order to give say a radiation treatment to a

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<v Speaker 1>cancer patient, and and more things about chemistry. Sure, also

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<v Speaker 1>lots of drug therapies. You you really have to consider

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<v Speaker 1>what comorbidities they're going to cover, you know, what other organs,

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<v Speaker 1>what other bodily systems, what other functions they're going to affect. Yeah,

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<v Speaker 1>and as we get to a world where we have

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<v Speaker 1>more and more personalized medicine, obviously, then you're talking about

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<v Speaker 1>specialists who can actually understand a particular patient's needs, not

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<v Speaker 1>just across an entire you know, we we have doctors

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<v Speaker 1>who specialize in specific diseases. Now, right, We've got people

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<v Speaker 1>who are specifically devoting they're all of their work to studying, understanding,

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<v Speaker 1>and fighting specific diseases. We're going to get to a

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<v Speaker 1>point where we have doctors who are very much focused

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<v Speaker 1>on specific patients, to the point where the treatments given

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<v Speaker 1>to a patient are of tailored to that specific person

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<v Speaker 1>their biochemistry based on their genetic code exactly. You're you're

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<v Speaker 1>talking about, you know, having a level of specialization that

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<v Speaker 1>is you know, it's it's unprecedented really, and medicine is

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<v Speaker 1>just one example. Obviously, there are other fields that require

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<v Speaker 1>this sort of multiple, multiple discipline approach, Like I mentioned nanotechnology,

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<v Speaker 1>that's a big one. So nanotechnology, you have computer scientists,

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<v Speaker 1>you have engineers, you have biologists, you have physicists, you

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<v Speaker 1>have chemists, you have lots of different disciplines that are

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<v Speaker 1>interested in trying to develop this field of nanotechnology for

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<v Speaker 1>multiple applications, not just for you know, the medical approach. Obviously,

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<v Speaker 1>that would be a big one. Again, fighting cancer, we've

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<v Speaker 1>talked about using nanotechnology to do that, using some sort

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<v Speaker 1>of nanodelivery system to deliver chemotherapy drugs to specific cells

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<v Speaker 1>so that you can minimize any sort of side effects

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<v Speaker 1>that the patient would suffer. But in order to do that,

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<v Speaker 1>you might wind up having a human biologist working together

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<v Speaker 1>with a material scientist working together with a laser specialist

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<v Speaker 1>working together with and so on and so forth. Exactly

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<v Speaker 1>a lot of different fields would go into that kind research. Yeah,

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<v Speaker 1>if you were to depend upon one discipline to just

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<v Speaker 1>take over that, then the the progress of that field

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<v Speaker 1>would crawl. But by leveraging the expertise of multiple disciplines

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<v Speaker 1>and sharing that research across the disciplines. Not only do

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<v Speaker 1>you progress the industry of nanotechnology forward, but you learn

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<v Speaker 1>so much along the way. You know, we've always said

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<v Speaker 1>on this show, even when you failed, you still learn. Well.

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<v Speaker 1>In this case, you're talking about multiple disciplines researching stuff

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<v Speaker 1>to find out how to make it possible, and learning

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<v Speaker 1>a lot along the way that can benefit the industry

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<v Speaker 1>and other industries in ways that we did not foresee

0:13:39.520 --> 0:13:43.640
<v Speaker 1>when we embarked upon that research. Absolutely, um I I

0:13:43.679 --> 0:13:46.160
<v Speaker 1>know that we just kind of tried to conversationally transition

0:13:46.200 --> 0:13:48.120
<v Speaker 1>away from the field of medicine. But in the field

0:13:48.120 --> 0:13:53.640
<v Speaker 1>of medicine, it's there's been really interesting developments like when um,

0:13:53.640 --> 0:13:57.560
<v Speaker 1>when AIDS in the nineteen eighties became a very serious,

0:13:57.760 --> 0:14:00.440
<v Speaker 1>very huge concern. I mean, we didn't we didn't know

0:14:00.480 --> 0:14:04.079
<v Speaker 1>anything about it. We It wasn't even until four that

0:14:04.120 --> 0:14:09.480
<v Speaker 1>we discovered the human human immune deficiency virus, and by

0:14:10.640 --> 0:14:12.960
<v Speaker 1>seven a c T had been approved for use by

0:14:13.000 --> 0:14:15.600
<v Speaker 1>the f d A. This was three years. This was

0:14:15.720 --> 0:14:20.000
<v Speaker 1>an incredible leap in uh in drug development and research.

0:14:20.080 --> 0:14:22.960
<v Speaker 1>Before then, it would have been pretty impossible to to

0:14:23.000 --> 0:14:26.080
<v Speaker 1>have seen a clinical trial of a new drug set

0:14:26.160 --> 0:14:29.640
<v Speaker 1>up against a placebo, in a in a in a

0:14:29.680 --> 0:14:32.400
<v Speaker 1>direct ratio or um or of a new drug set

0:14:32.440 --> 0:14:38.520
<v Speaker 1>up against any any previous UH treatment therapy. It's you know,

0:14:39.120 --> 0:14:42.280
<v Speaker 1>people came together because they realized that this was bigger

0:14:42.320 --> 0:14:48.440
<v Speaker 1>than the specific monetary advancement of any given company and

0:14:48.640 --> 0:14:51.840
<v Speaker 1>um and that example has been translated out. I mean,

0:14:51.880 --> 0:14:55.320
<v Speaker 1>big pharma companies are realizing that by trying to separate

0:14:55.640 --> 0:14:58.360
<v Speaker 1>out all of their research and development teams they are

0:14:58.480 --> 0:15:02.120
<v Speaker 1>they're wasting money and time, and that overall people can

0:15:02.160 --> 0:15:05.520
<v Speaker 1>really benefit, they can benefit from coming together like that.

0:15:05.560 --> 0:15:08.560
<v Speaker 1>There's a a group of like the ten biggest pharma

0:15:08.600 --> 0:15:12.160
<v Speaker 1>companies basically in the world right now are are going

0:15:12.160 --> 0:15:15.200
<v Speaker 1>in on a not for profit organization called Trance seller

0:15:15.200 --> 0:15:18.640
<v Speaker 1>a Biopharma, which is is trying to standardize the field

0:15:18.640 --> 0:15:23.240
<v Speaker 1>of clinical research and that could lead to amazing advancements. Sure,

0:15:23.520 --> 0:15:29.080
<v Speaker 1>and we we've also talked before about the artificial intelligence movement,

0:15:29.560 --> 0:15:35.080
<v Speaker 1>this idea of developing artificially intelligent UH constructs, whether robots

0:15:35.160 --> 0:15:40.440
<v Speaker 1>or computers or combination whatever. UH that actually that field

0:15:40.480 --> 0:15:44.520
<v Speaker 1>also involves multiple disciplines. You would think computer science obviously

0:15:44.640 --> 0:15:48.400
<v Speaker 1>would be one, but neuroscience is certainly one that has

0:15:48.480 --> 0:15:51.480
<v Speaker 1>looked into artificial intelligence, and I think it's really important too,

0:15:51.520 --> 0:15:55.160
<v Speaker 1>because I think there's some futurists out there who have

0:15:55.360 --> 0:15:59.160
<v Speaker 1>this concept that artificial intelligence in the in the sense

0:15:59.240 --> 0:16:03.200
<v Speaker 1>of having a a machine that is, and I don't

0:16:03.240 --> 0:16:06.600
<v Speaker 1>know how you would specifically define this, but as intelligent

0:16:06.640 --> 0:16:09.720
<v Speaker 1>as a person, so that they think like a person,

0:16:09.800 --> 0:16:11.480
<v Speaker 1>I think is the way that they usually try and

0:16:11.520 --> 0:16:14.640
<v Speaker 1>frame this. That a computer would think in the same

0:16:14.680 --> 0:16:17.560
<v Speaker 1>way that you and I would think that that will

0:16:17.600 --> 0:16:20.000
<v Speaker 1>be We're right right on the cusp of it, you know,

0:16:20.360 --> 0:16:23.760
<v Speaker 1>ten to twenty years away because because of the rate

0:16:24.000 --> 0:16:27.440
<v Speaker 1>of the of development as far as computer power goes.

0:16:27.800 --> 0:16:31.360
<v Speaker 1>But neurologists have often pointed out that it's not just

0:16:31.400 --> 0:16:34.280
<v Speaker 1>a question of computer power, that making a machine that

0:16:34.480 --> 0:16:38.600
<v Speaker 1>is powerful enough to mimic what a human can do

0:16:39.120 --> 0:16:42.560
<v Speaker 1>is not necessarily the real barrier there. It requires a

0:16:42.600 --> 0:16:45.320
<v Speaker 1>deeper understanding of how our brains work before we can

0:16:45.360 --> 0:16:49.360
<v Speaker 1>make a machine that can mimic brains work. And interestingly enough,

0:16:49.560 --> 0:16:52.760
<v Speaker 1>by trying to make that machine, I think we might

0:16:52.960 --> 0:16:57.520
<v Speaker 1>learn things about how our brain works we didn't know before. Right, Yeah,

0:16:57.560 --> 0:17:02.000
<v Speaker 1>we've already seen scientists set up and work with neuroscientists

0:17:02.280 --> 0:17:07.320
<v Speaker 1>to computer scientists neuroscientists working together to build virtual models

0:17:07.400 --> 0:17:12.280
<v Speaker 1>of neuron neurons and neural pathways, so you know, essentially

0:17:12.480 --> 0:17:15.320
<v Speaker 1>a model of like on a very tiny scale of

0:17:15.359 --> 0:17:19.159
<v Speaker 1>a human brain to see how things like memories form

0:17:19.280 --> 0:17:23.440
<v Speaker 1>and how uh these pathways activate during with certain stimuli.

0:17:24.160 --> 0:17:29.600
<v Speaker 1>Keeping in mind that the computer virtual models are absolutely

0:17:29.680 --> 0:17:32.720
<v Speaker 1>tiny compared to the average human brain, and the time

0:17:32.760 --> 0:17:37.000
<v Speaker 1>scale is much longer, so you have to really scale

0:17:37.080 --> 0:17:39.080
<v Speaker 1>things in a in a wacky way to see how

0:17:39.119 --> 0:17:42.600
<v Speaker 1>it works. But it shows progress toward that. And so

0:17:42.680 --> 0:17:46.320
<v Speaker 1>again it's a multidiscipline kind of field where if we

0:17:46.400 --> 0:17:48.400
<v Speaker 1>really want to push the industry forward, if we want

0:17:48.400 --> 0:17:51.679
<v Speaker 1>to push that whole area of study forward, it's going

0:17:51.720 --> 0:17:54.080
<v Speaker 1>to require more than just computer scientists sitting down and

0:17:54.080 --> 0:17:58.840
<v Speaker 1>writing some new code. So uh. In in the video

0:17:58.880 --> 0:18:02.639
<v Speaker 1>episode for this week brand New special episode where I

0:18:03.200 --> 0:18:07.000
<v Speaker 1>did not appear in my nebulous white environment where I

0:18:07.000 --> 0:18:10.560
<v Speaker 1>can control everything with just a wave of my hand

0:18:10.760 --> 0:18:16.320
<v Speaker 1>or a certain thought, it was actually kind of a Hey,

0:18:16.440 --> 0:18:18.840
<v Speaker 1>you've seen the episodes, Joe. I mean if I am

0:18:18.880 --> 0:18:21.000
<v Speaker 1>in that environment, I can make stuff happen. Did you

0:18:21.000 --> 0:18:23.399
<v Speaker 1>not see. I made myself fold up like oregamy. Do

0:18:23.480 --> 0:18:26.280
<v Speaker 1>not test me on this. But for this particular episode,

0:18:26.280 --> 0:18:28.399
<v Speaker 1>I shot it here in the office, which was, you know,

0:18:29.160 --> 0:18:33.359
<v Speaker 1>strange and unusual for me. But uh. It also is

0:18:33.400 --> 0:18:36.040
<v Speaker 1>one of the episodes of our second season of Forward Thinking,

0:18:36.040 --> 0:18:38.520
<v Speaker 1>which kind of interrupts our first season of Forward Thinking.

0:18:38.920 --> 0:18:42.440
<v Speaker 1>That's okay, because we're good. Yeah, we're a little will

0:18:42.440 --> 0:18:45.120
<v Speaker 1>wibbly wobbly. We were actually broadcasting from the future as

0:18:45.160 --> 0:18:48.439
<v Speaker 1>we speak. But anyway, that in that I had a

0:18:48.480 --> 0:18:54.240
<v Speaker 1>discussion with Chuck Goulash, senior executive engineer with Toyota's Collaborative

0:18:54.280 --> 0:18:58.840
<v Speaker 1>Safety Research Center, and Toyota is a partner of Forward Thinking,

0:18:58.920 --> 0:19:01.200
<v Speaker 1>so they were able to put us in touch with them.

0:19:01.320 --> 0:19:03.320
<v Speaker 1>The interesting thing I found about the c s r

0:19:03.400 --> 0:19:07.240
<v Speaker 1>C is that although Toyota was the company that that

0:19:08.080 --> 0:19:12.560
<v Speaker 1>put that into motion, the actual research is open to everyone.

0:19:13.040 --> 0:19:17.640
<v Speaker 1>So it's not like they are having this collaborative effort

0:19:17.720 --> 0:19:20.879
<v Speaker 1>among various institutions and then Toyota is hoarding all the

0:19:20.920 --> 0:19:25.240
<v Speaker 1>information and only only the that company will benefit. Anyone

0:19:25.320 --> 0:19:28.840
<v Speaker 1>can benefit from that information, including all the collaborators. So

0:19:28.920 --> 0:19:32.040
<v Speaker 1>you have medical facilities learning more about the human body

0:19:32.119 --> 0:19:34.639
<v Speaker 1>and trauma and and how to treat it and how

0:19:34.680 --> 0:19:38.159
<v Speaker 1>to prevent it. You have engineers learning how to design

0:19:38.240 --> 0:19:40.560
<v Speaker 1>vehicles in a better way that can be shared across

0:19:40.560 --> 0:19:43.919
<v Speaker 1>an entire industry. You have governments learning what sort of

0:19:43.960 --> 0:19:46.280
<v Speaker 1>industry standards should be put in place for the next

0:19:46.320 --> 0:19:49.560
<v Speaker 1>generation of vehicles that will apply again across the board

0:19:49.600 --> 0:19:53.200
<v Speaker 1>to all vehicles. Um. That I think is the really

0:19:53.240 --> 0:19:57.000
<v Speaker 1>exciting thing about collaboration, This idea that it's not in

0:19:57.040 --> 0:20:00.960
<v Speaker 1>an effort to get ahead of some one else, it's

0:20:01.000 --> 0:20:12.600
<v Speaker 1>in an effort to improve things across an entire swath, industry, industry, customers, whatever. Yeah, exactly,

0:20:12.640 --> 0:20:15.680
<v Speaker 1>it's it's this idea that through this work we can

0:20:15.720 --> 0:20:19.840
<v Speaker 1>improve conditions. That's what I find really exciting about it.

0:20:19.960 --> 0:20:22.840
<v Speaker 1>So honestly, at that at that stage, you know, it

0:20:22.880 --> 0:20:24.639
<v Speaker 1>doesn't matter to me who it was that put it

0:20:24.680 --> 0:20:28.640
<v Speaker 1>into motion. If it means that everyone benefits, would would

0:20:28.720 --> 0:20:32.040
<v Speaker 1>perhaps at some point someone who helped put it into

0:20:32.080 --> 0:20:35.360
<v Speaker 1>motions say I deserve more credit or more money than

0:20:35.440 --> 0:20:38.680
<v Speaker 1>these other people. I don't see how that would happen,

0:20:38.720 --> 0:20:42.840
<v Speaker 1>because you're talking about research information back. Yeah, this is

0:20:43.040 --> 0:20:45.240
<v Speaker 1>this is just research that people are going to use

0:20:45.280 --> 0:20:48.199
<v Speaker 1>to make improvements. So it's not not even in the

0:20:48.280 --> 0:20:50.359
<v Speaker 1>in that industry specifically, but I you know, I just

0:20:50.400 --> 0:20:54.480
<v Speaker 1>feel like that's a potential barrier to to collaboration, this

0:20:54.760 --> 0:20:58.560
<v Speaker 1>concept of ownership of of of a concept. There there

0:20:58.560 --> 0:21:01.680
<v Speaker 1>are some barriers to collaboratetion. I mean, there's there's one

0:21:01.880 --> 0:21:05.080
<v Speaker 1>where you're wondering who's in charge, right, who ultimately is

0:21:05.119 --> 0:21:08.199
<v Speaker 1>in charge? But if you're talking about research where you

0:21:08.280 --> 0:21:11.520
<v Speaker 1>have a specific goal in mind, but knowing that the

0:21:11.560 --> 0:21:14.200
<v Speaker 1>research is going to uncover information that's going to benefit

0:21:14.680 --> 0:21:17.159
<v Speaker 1>in ways that you can't even necessarily foresee when you

0:21:17.200 --> 0:21:20.200
<v Speaker 1>get into it means that even with just that one goal,

0:21:20.240 --> 0:21:24.040
<v Speaker 1>even if that one specific goal benefits a specific party

0:21:24.119 --> 0:21:28.760
<v Speaker 1>more than another, ultimately everyone benefits. So that ends up

0:21:28.800 --> 0:21:31.040
<v Speaker 1>being kind of a non factor in the long run.

0:21:31.320 --> 0:21:33.840
<v Speaker 1>But the other obstacle that you brought up earlier, Lauren,

0:21:33.880 --> 0:21:37.399
<v Speaker 1>when we were talking about this episode beforehand, was the

0:21:37.440 --> 0:21:40.680
<v Speaker 1>idea of getting so many people involved in something. How

0:21:40.720 --> 0:21:43.840
<v Speaker 1>do you keep that, how do you keep that under

0:21:43.880 --> 0:21:46.200
<v Speaker 1>a control so that you are actually making progress and

0:21:46.240 --> 0:21:48.800
<v Speaker 1>you're not having you know, people of getting each other

0:21:48.920 --> 0:21:52.560
<v Speaker 1>way too many biomedical researchers and the biomedical kitchen and

0:21:52.600 --> 0:21:57.320
<v Speaker 1>the laboratory. That's what yeah, And I think I think

0:21:57.320 --> 0:22:00.600
<v Speaker 1>in that case, what we really need is you need

0:22:00.640 --> 0:22:04.240
<v Speaker 1>to have for whatever research facility that you you know

0:22:04.359 --> 0:22:07.399
<v Speaker 1>you've built h that you have a specific focus, that

0:22:07.480 --> 0:22:09.520
<v Speaker 1>you have a specific goal in mind that everyone is

0:22:09.560 --> 0:22:13.600
<v Speaker 1>working toward. And again, knowing that you're going to generate

0:22:13.680 --> 0:22:16.320
<v Speaker 1>information outside of that that will be a benefit in

0:22:16.320 --> 0:22:19.159
<v Speaker 1>some way or another is fine. But to kind of

0:22:19.160 --> 0:22:22.960
<v Speaker 1>have that that that end goal in sight, I think

0:22:23.000 --> 0:22:26.040
<v Speaker 1>helps a lot. And and all obviously, in all of

0:22:26.040 --> 0:22:30.399
<v Speaker 1>these collaborative relationships that we're talking about, you usually have

0:22:30.600 --> 0:22:33.920
<v Speaker 1>some sort of team leader that is in charge, which

0:22:34.040 --> 0:22:36.480
<v Speaker 1>that also helps when you actually do have a hierarchy

0:22:36.520 --> 0:22:38.760
<v Speaker 1>there and it's not just a free for all of

0:22:39.040 --> 0:22:41.040
<v Speaker 1>you know, let's throw a bunch of brilliant people into

0:22:41.080 --> 0:22:43.800
<v Speaker 1>a room together, and surely something amazing is going to

0:22:43.840 --> 0:22:46.399
<v Speaker 1>come out of it. Uh. That amazing thing might end

0:22:46.440 --> 0:22:49.800
<v Speaker 1>up being the scientific version of the Thunderdome, which I

0:22:49.840 --> 0:22:54.880
<v Speaker 1>don't argue would be amazing but not necessarily productive. Eighteen

0:22:55.000 --> 0:22:59.240
<v Speaker 1>scientists enter, one scientist leaves aside for entertainment purposes. I

0:22:59.280 --> 0:23:01.320
<v Speaker 1>bet some I bet some those research scientists could build

0:23:01.400 --> 0:23:04.720
<v Speaker 1>some really interesting weapons. Oh yeah, no, I mean just

0:23:04.800 --> 0:23:08.400
<v Speaker 1>the robot Wars alone would be exciting. But uh no,

0:23:09.160 --> 0:23:11.520
<v Speaker 1>seriously though, that is one of those things that's interesting

0:23:11.560 --> 0:23:14.040
<v Speaker 1>is that I don't know how many well all of

0:23:14.119 --> 0:23:17.560
<v Speaker 1>us here obviously have worked collaboratively. We're doing it right now.

0:23:18.040 --> 0:23:21.040
<v Speaker 1>We're collaborating on a podcast, but we don't have any

0:23:21.080 --> 0:23:25.000
<v Speaker 1>relevant knowledge or now we're not we're not actually contributing

0:23:25.040 --> 0:23:27.879
<v Speaker 1>to society in any meaningful way, so the pressure is off.

0:23:28.400 --> 0:23:32.520
<v Speaker 1>But no, seriously, though, we've all had that experience of

0:23:32.680 --> 0:23:35.880
<v Speaker 1>learning to give and take and collaborate with each other

0:23:35.920 --> 0:23:39.359
<v Speaker 1>in order to have our end goal being producing and

0:23:39.480 --> 0:23:42.280
<v Speaker 1>entertaining and informative podcast. Well, one thing I have learned

0:23:42.280 --> 0:23:47.080
<v Speaker 1>about collaborating with different people is that collaboration itself involves

0:23:47.080 --> 0:23:49.919
<v Speaker 1>a kind of expertise, like that it's a skill that

0:23:50.040 --> 0:23:54.240
<v Speaker 1>can be developed. Sure, And I almost wonder if between

0:23:54.280 --> 0:23:57.480
<v Speaker 1>different scientific disciplines, if, like we were talking about earlier,

0:23:57.880 --> 0:24:00.520
<v Speaker 1>in the future, you see a continuing end of just

0:24:00.680 --> 0:24:04.520
<v Speaker 1>more and more specialization. The more we learn about these disciplines,

0:24:04.560 --> 0:24:10.320
<v Speaker 1>the narrower each expert's focus gets. If collaborative projects will

0:24:10.359 --> 0:24:13.080
<v Speaker 1>need to be controlled by people who sort of specialize

0:24:13.119 --> 0:24:16.760
<v Speaker 1>in scientific collaboration. Collaboration is is kind of a field

0:24:16.760 --> 0:24:21.399
<v Speaker 1>of study certainly, Um, multidisciplinary fields of study are I mean,

0:24:21.440 --> 0:24:24.600
<v Speaker 1>they're they're scientific journals for that thing, and um, and

0:24:24.600 --> 0:24:27.760
<v Speaker 1>there is research being done into into case studies of

0:24:27.840 --> 0:24:32.320
<v Speaker 1>collaborative efforts to create create stuff and um. So you know,

0:24:32.640 --> 0:24:36.520
<v Speaker 1>I've seen it mentioned colloquially that that people have an

0:24:36.560 --> 0:24:40.480
<v Speaker 1>interest in being a collaboration scientist. How that's really cool.

0:24:40.520 --> 0:24:42.119
<v Speaker 1>I think what we're going to see is that a

0:24:42.160 --> 0:24:43.880
<v Speaker 1>lot of these projects are going to get their own

0:24:44.000 --> 0:24:47.120
<v Speaker 1>version of Jen Barber, who of course is the relationships

0:24:47.119 --> 0:24:55.000
<v Speaker 1>manager in the documentary series The I T. Crowd. You

0:24:55.000 --> 0:24:57.280
<v Speaker 1>would love it. Yeah, So but anyway, she's a relationship

0:24:57.359 --> 0:25:01.679
<v Speaker 1>manager because she has absolutely no nala jovity whatsoever. But

0:25:01.720 --> 0:25:03.520
<v Speaker 1>she does know how to handle people. So that's how

0:25:03.520 --> 0:25:06.119
<v Speaker 1>she joins the I T team. Um. But yeah, I

0:25:06.119 --> 0:25:09.679
<v Speaker 1>mean that, well, that's a comedic example. That's sort of

0:25:09.680 --> 0:25:12.760
<v Speaker 1>what we're talking about here. Someone who has this ability

0:25:12.880 --> 0:25:16.200
<v Speaker 1>to kind of be like the hub, you know, the

0:25:16.440 --> 0:25:20.000
<v Speaker 1>connector for all these different pieces that can make sure

0:25:20.080 --> 0:25:23.000
<v Speaker 1>that everyone's on task and working towards a similar goal.

0:25:23.160 --> 0:25:25.280
<v Speaker 1>But so Lauren you're sort of saying like this isn't

0:25:25.280 --> 0:25:28.800
<v Speaker 1>even necessarily like a maybe in the future thing. You're

0:25:28.800 --> 0:25:33.199
<v Speaker 1>saying like, right now, this is already reality. The groundwork

0:25:33.280 --> 0:25:35.719
<v Speaker 1>of it does in fact exist. And I think that

0:25:35.800 --> 0:25:40.160
<v Speaker 1>it's going to become an actual facts thing very shortly.

0:25:40.240 --> 0:25:43.359
<v Speaker 1>I mean within the next like three years, not not

0:25:43.440 --> 0:25:46.399
<v Speaker 1>even within ten to twenty. Keep in mind, just like

0:25:46.440 --> 0:25:49.120
<v Speaker 1>maybe maybe five years ago, we didn't even have such

0:25:49.119 --> 0:25:52.000
<v Speaker 1>a thing as like, there was no no such title

0:25:52.000 --> 0:25:56.840
<v Speaker 1>as social media manager, and now there is. Nobody had

0:25:56.920 --> 0:26:01.439
<v Speaker 1>social media Ninja's now, and now we do. I I

0:26:01.480 --> 0:26:03.320
<v Speaker 1>do want to say that I think that one of

0:26:03.320 --> 0:26:06.520
<v Speaker 1>those barriers to collaboration at the moment is the the

0:26:06.560 --> 0:26:11.040
<v Speaker 1>paywall that a lot of academic research is being trapped behind. Yeah,

0:26:11.400 --> 0:26:14.480
<v Speaker 1>and have you seen the surveys that have said that

0:26:15.280 --> 0:26:20.240
<v Speaker 1>scientists have often, uh not read nearly as much research

0:26:20.280 --> 0:26:22.600
<v Speaker 1>as they wanted to because there was a paywall in

0:26:22.680 --> 0:26:25.080
<v Speaker 1>front of the journal that they were trying to access.

0:26:25.320 --> 0:26:28.200
<v Speaker 1>And and you know, and I respect the the these

0:26:28.200 --> 0:26:31.040
<v Speaker 1>academic institutions for wanting to make money off of this

0:26:31.080 --> 0:26:33.640
<v Speaker 1>amazing research that they're publishing. I mean, you know, they

0:26:33.720 --> 0:26:36.359
<v Speaker 1>the researchers want to be paid for their publications and

0:26:36.359 --> 0:26:39.160
<v Speaker 1>and that's groovy to only that, but it does cost

0:26:39.240 --> 0:26:42.199
<v Speaker 1>money to actually distribute this stuff. It does absolutely. I mean,

0:26:42.240 --> 0:26:46.000
<v Speaker 1>you know, speaking as someone who has edited medical papers before,

0:26:46.200 --> 0:26:49.159
<v Speaker 1>it's you know, you really need someone outside of and

0:26:49.320 --> 0:26:52.520
<v Speaker 1>the the academic institution to proof read something and go like,

0:26:52.560 --> 0:26:55.600
<v Speaker 1>you did this math wrong. Your idea is solid, but

0:26:55.680 --> 0:26:59.040
<v Speaker 1>this math is that just went somewhere else, that was nowhere,

0:26:59.160 --> 0:27:00.760
<v Speaker 1>and you know, and that kind of thing is is

0:27:00.800 --> 0:27:03.399
<v Speaker 1>critical to the industry. And I liked getting paid as

0:27:03.440 --> 0:27:05.520
<v Speaker 1>a proof reader in that case, so you know, I

0:27:05.520 --> 0:27:08.879
<v Speaker 1>I believe in money for everybody. But how exactly to

0:27:08.960 --> 0:27:11.240
<v Speaker 1>monetize that kind of thing in the future is I

0:27:11.240 --> 0:27:12.840
<v Speaker 1>don't know how it's going to work, right, because I mean,

0:27:13.280 --> 0:27:15.600
<v Speaker 1>you know, opening it up for like the advertising model

0:27:15.680 --> 0:27:18.920
<v Speaker 1>is also tricky, right, because then you have the the

0:27:19.280 --> 0:27:22.240
<v Speaker 1>perception of bias even if there is no bias there.

0:27:22.280 --> 0:27:26.399
<v Speaker 1>If you have advertisers showing up against a paper on

0:27:26.840 --> 0:27:30.080
<v Speaker 1>say a drug study, and it's a drug company's ads

0:27:30.119 --> 0:27:31.639
<v Speaker 1>that are showing up on that page, which would be

0:27:31.720 --> 0:27:34.600
<v Speaker 1>the logical logical advertiser for that paper, so you would

0:27:34.640 --> 0:27:39.280
<v Speaker 1>argue that that's a conflict of interesting to unexpected side

0:27:39.320 --> 0:27:43.040
<v Speaker 1>effects in one drug and then a competitor's drug is advertise. Yeah,

0:27:43.119 --> 0:27:46.520
<v Speaker 1>that's another example. So yeah, it's tricky. UM. I mean,

0:27:46.520 --> 0:27:51.080
<v Speaker 1>obviously the paywall situation where scientists are not reading papers

0:27:51.160 --> 0:27:54.120
<v Speaker 1>that they really need to read because it's behind a paywall.

0:27:54.640 --> 0:27:57.480
<v Speaker 1>That is something that we need to but that kind

0:27:57.480 --> 0:28:00.879
<v Speaker 1>of study was really terrifying. Actually, they're they're over in

0:28:00.920 --> 0:28:04.600
<v Speaker 1>the European Union. They've got an Innovative Medicines Initiative that

0:28:04.680 --> 0:28:07.879
<v Speaker 1>started in two thousand eight. Um, there's recommendations for the

0:28:07.960 --> 0:28:10.320
<v Speaker 1>US to start up a counterpart to this, and and

0:28:10.400 --> 0:28:14.000
<v Speaker 1>I mean it's it's groups of both governmental and private

0:28:14.040 --> 0:28:18.879
<v Speaker 1>and public research going into stuff like combating bacterial resistance

0:28:19.000 --> 0:28:23.959
<v Speaker 1>and uh, curing diabetes and autism therapy and chronic pain research.

0:28:24.040 --> 0:28:28.520
<v Speaker 1>You know, big, huge, multi multi disciplinary stuff. And I

0:28:28.560 --> 0:28:32.320
<v Speaker 1>think that that you know, that's great. Yeah, I mean,

0:28:32.560 --> 0:28:37.000
<v Speaker 1>you know, I certainly hope you were against collaboration when

0:28:37.000 --> 0:28:40.520
<v Speaker 1>it benefits her, she's all for it. I'm against whatever.

0:28:40.560 --> 0:28:44.520
<v Speaker 1>Jonathan says. That's fair pretty much every anyone who knows

0:28:44.560 --> 0:28:47.440
<v Speaker 1>me long enough that that does tend to happen. Uh.

0:28:47.640 --> 0:28:49.800
<v Speaker 1>Part of this is also an argument that could be

0:28:49.840 --> 0:28:52.600
<v Speaker 1>made that we need to we need we as in

0:28:52.640 --> 0:28:55.040
<v Speaker 1>the United States in this case, need to invest more

0:28:55.080 --> 0:28:57.200
<v Speaker 1>in science in general. And in fact, we've seen the

0:28:57.200 --> 0:29:00.800
<v Speaker 1>opposite happening year over year with budgets issues like that.

0:29:01.040 --> 0:29:03.760
<v Speaker 1>But that's a tough sell, right, It's tough for it's

0:29:03.760 --> 0:29:06.040
<v Speaker 1>tough to sell it to Congress, and it's tough for

0:29:06.080 --> 0:29:09.080
<v Speaker 1>Congress to sell it to constituents. So it's one of

0:29:09.120 --> 0:29:12.000
<v Speaker 1>those things where even though I'm sure you know, the

0:29:12.400 --> 0:29:17.040
<v Speaker 1>three of us and even NOL I'll agree that no

0:29:17.080 --> 0:29:19.360
<v Speaker 1>will just gave me a dirty look. But I'm sure

0:29:19.400 --> 0:29:22.960
<v Speaker 1>we would all agree that. Obviously, again, scientific endeavors have

0:29:23.120 --> 0:29:25.600
<v Speaker 1>the potential to benefit us in ways that we cannot

0:29:25.600 --> 0:29:28.960
<v Speaker 1>even anticipate. I'm sure that many of our listeners agree

0:29:28.960 --> 0:29:33.720
<v Speaker 1>with that as well. But getting a large population for

0:29:34.000 --> 0:29:36.440
<v Speaker 1>holding up an apple and an empty hand and saying,

0:29:36.520 --> 0:29:39.720
<v Speaker 1>and you know, the empty hand represents future apples, which

0:29:39.760 --> 0:29:42.200
<v Speaker 1>is better? It's hard to It's it's the marshmallow experiment,

0:29:42.240 --> 0:29:46.040
<v Speaker 1>but on a grand global cancer scale. Wow, yeah, I'm

0:29:46.080 --> 0:29:49.120
<v Speaker 1>gonna eat this marshmallow right now. In fact, because delay

0:29:49.160 --> 0:29:52.960
<v Speaker 1>gratification is something I don't believe in. Uh, all right, Well,

0:29:53.080 --> 0:29:55.680
<v Speaker 1>we're gonna wrap this up. Guys, if you have anything

0:29:55.720 --> 0:29:58.160
<v Speaker 1>you want to weigh in on as far as collaboration goes,

0:29:58.200 --> 0:30:00.000
<v Speaker 1>maybe you want to get with some of your friends

0:30:00.160 --> 0:30:03.200
<v Speaker 1>and write an email together. That would be fitting. Uh,

0:30:03.240 --> 0:30:04.640
<v Speaker 1>why don't you Why don't you go over to f

0:30:04.800 --> 0:30:06.840
<v Speaker 1>w thinking dot com. That's our website where you're gonna

0:30:06.840 --> 0:30:10.920
<v Speaker 1>find all the podcasts, blogs, the articles, you're gonna find

0:30:10.920 --> 0:30:13.560
<v Speaker 1>the videos, and we have all of our content right there.

0:30:13.600 --> 0:30:15.000
<v Speaker 1>You can get in touch with us through that. We

0:30:15.080 --> 0:30:18.640
<v Speaker 1>have our social media. Look for fw thinking on Facebook

0:30:18.680 --> 0:30:22.040
<v Speaker 1>and on Twitter and even on Google Plus. We're all

0:30:22.160 --> 0:30:23.840
<v Speaker 1>over the place. Give in touch with us, let's know

0:30:23.880 --> 0:30:25.640
<v Speaker 1>what you think. You're part of the conversation. We want

0:30:25.640 --> 0:30:27.479
<v Speaker 1>to hear from you, and we will talk to you

0:30:27.520 --> 0:30:34.360
<v Speaker 1>again really sooner. We're more on this topic and the

0:30:34.400 --> 0:30:48.480
<v Speaker 1>future of technology. Visit forward thinking dot com, brought to

0:30:48.520 --> 0:30:50.920
<v Speaker 1>you by Toyota. Let's go places.