WEBVTT

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Welcome to the Conversion Science and Instrument Formed podcast on collaboration.

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I'm Paul Verschurek, and together with my colleague Julia Lug, we speak with Dr.

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Sybrandt de Jong, Professor of High Energy Physics at Radboud University,

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where he's also the Dean of the Faculty of Science and Technology.

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Sybrandt is an expert on elementary particle and astroparticle physics,

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and he's a member of the CERN Council.

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Having conducted high energy experiments at large accelerator laboratories such

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as CERN, Ferney Lab, and the Pierre Auger Observatory, he reflects on how large-scale

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scientific collaboration is carried out. Sebrant, welcome to our podcast.

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Hello, good afternoon. And Sebrant, before we really delve into the questions around collaboration,

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it would be very helpful if you could situate us a little bit in your background

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and in your career path that brought us together today.

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Okay, well, I'm not completely sure what brought us together today,

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but I can certainly sketch my career path.

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So by building, I'm a physicist.

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So I studied physics, but also I have a keen interest in mathematics,

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computer science and astronomy.

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So I also picked up parts of that in my study.

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After graduating at the University of Amsterdam,

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I did my PhD research with NICEF, already on a large experimental collaboration

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in Hamburg, on the Hierar Ring at the Dacey Laboratory.

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Of course, there I was a very junior member of that collaboration.

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From that, after obtaining my PhD, I moved on to CERN.

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I've been for eight years at CERN as a CERN fellow and a CERN associate,

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really working on another large experiment, the OPAL experiment at the lab ring.

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And then after my stint at CERN, I came to Nijmegen.

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Somehow I called it coming back to Nijmegen, but I'm not really from Nijmegen,

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as many people will hear.

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I'm, of course, from the area of Amsterdam. But ever since I've been in Nijmegen,

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well, it first was called the Catholic University Nijmegen, and now it's called

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the Radboud University.

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And there I served in several managerial tasks.

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So I've been a department head, I've been the director of the School of Physics from 2000 to 2004.

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After that, I was the founding director of the EMAP Research Institute for mathematics,

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astrophysics and particle physics.

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After that, I founded the Radboud Pre-University College of Science,

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so an interface to high schools.

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And then I moved on to serve on the CERN Council and the last three years as

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the CERN Council President.

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And of course, meanwhile, I did many things in both together,

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always simultaneously in research and in governance and management.

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So far, I've been able to always combine it.

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So from the 1st of December on, I will be the Dean of the Faculty of Science.

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And now for the first time in my life, I won't be able to combine that anymore

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with doing really science myself.

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So I had to give that up and I'm still sort of in the process of getting accustomed

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to that. Right. Understood.

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Well, that's an amazing career up to this point.

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But then in the context of that experience, how do you define collaboration and what is it good for?

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Well, collaboration already is a very interesting word for those who are not

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Dutch listening to this podcast.

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Collaboratie, collaboration in the Netherlands means quite the opposite,

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I guess, from what it means anywhere else.

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So in Dutch, it's like siding with the enemy, which is, of course,

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more or less the opposite of collaboration.

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I've always been working in large experimental collaborations.

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So typically from ranging from, well, my very first collaboration I worked in

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as a master's student was only like 60 people.

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And then it scaled up from hundreds to thousands.

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So for me, sort of a natural way of dealing with, say, large and complex situations.

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So, in that sense, it's sort of my habitat, my natural habitat is working with large collaborations.

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And these collaborations I do, of course, there's the common goal,

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which is very unifying normally.

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But of course, there's also a lot of fighting, a lot of infighting,

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a lot of fighting between colleagues.

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Because these collaborations are usually formed from like, well,

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I've been in collaborations with over a thousand full professors.

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And of course, they're all sort of king of their own empire.

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But then in a much larger context, they have to work together as equals.

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Okay. And okay, depending on, especially depending on nationality,

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that gives more or less problems.

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So, but then how does that work? So if you look at these larger,

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the ones you just described, the really challenging ones, why would it work and why does it fail?

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Could you could you describe that or give an example the foremost thing why

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it it can work is to have a recognized common goal um typically the cycle in

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a large experiment is that.

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People dream of doing something spectacular

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and then they they they they

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find out okay i can i can't do it alone okay so i

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need companions through this and then they round

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up a couple of friends and then the circle gets larger and larger

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and then at some point you have like the the

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volume to to jump into the big

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enterprise uh of course at

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that point everybody is very enthusiastic about the common goal and

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then usually things like letters of intent

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are written which are of course a letter

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of intent it sounds like a letter okay but usually it's

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like a few hundred page book um with quite

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detailed uh prognosis of what you want to

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do and studies on how you're going to do it etc so at

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that point there's still like one community then um

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the trouble actually starts when these things get approved because

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then suddenly like the first hurdle the first goal has been taken the approval

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is there okay so what do we do now then of course typically there's years between

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a new collaboration approved and a large apparatus really being built.

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And so there's lots of designs in between. And this design phase is usually like a huge fight.

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It's like a huge cage fight because you know you're condemned to one another,

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yet you want to kill the enemy. You want your idea to prevail.

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So it's really like a cage, an enormous big cage fight.

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And then all sorts of things come in so not only the scientific argument of

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what is best but also in the end my ideas may be second best but I pay for it

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so it's my idea that's going to be built,

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and actually this is one of the better arguments there are worse arguments that make people win,

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which I won't go into but.

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Okay and then sort of at some point okay this fighting takes usually a lot of

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time and a lot of energy people do this actually typically for years in these large collaborations,

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and at some point I realized like oh gee gee, we should have started building

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half a year or a year ago to make it for the deadline of, say,

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the accelerator to be finished or the promised start of the project.

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And then sort of there's usually there's first a panic.

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Then, of course, there's a lot of blaming and shaming on who's guilty of this.

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And then people realize like, okay, this doesn't help to actually pull it together.

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We have to really work together again so then

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there's a there's usually a very rapid stage of

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convergence uh typically like in

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months where people realized okay we we just

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and then and then um people just

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tend to be more soft on giving up some of their own ideas etc like okay anything

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okay as long as it's been built and so then there's this phase of of building

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where people are pretty much unified and then you at the point where the whole thing is going to be,

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commissioned uh there's usually like a great group spirit okay but things tend to work together.

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Sometimes miraculously there's also great satisfaction and group identity and

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big parties sometimes parties of thousands of people you i mean you build belief

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in corona times um and uh And then,

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of course, you have to start the experiment.

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And usually the first few measurements are, again, really like the core business.

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So everybody's unified, big success.

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And then you get into the stage where you have to accumulate more data and to

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either supersede the first publications or to do something entirely new.

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You just need so much data that you need to wait for years.

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Years, and then people start to fight again, because there's one analysis against

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the other, because they're basically waiting for data, they get a little bit

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bored, okay, the initial successes are over, and the goal becomes sort of fussy.

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So my conclusion from all of this is that it's all in the goal, okay?

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You can get people working together. It was a long story, but...

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No, no, no, it's very good. The conclusion is relatively simple.

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But, Saber, if we focus on the goal as the unifier, is that really enough?

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Because in some sense, it's also, at some point, also these phases that you

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described, right, of infighting, coalescing again, and so on.

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In some sense, now you also have a limited resource that you know you have to

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share in order to achieve your selfish objectives.

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So that is our new element that comes in. So is the goal and actually still the same?

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Yeah, but that's okay. So again, okay, the resources can play both parts.

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Okay. So of course, when the project is defined, everybody realizes that,

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okay, I cannot pay for this on my own.

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So we will have to share it. And then everybody, of course,

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immediately agrees that, yeah, of course, if we have to to share resources

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we also have to share responsibility and then

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share tasks and and okay fine

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no problem but then especially in this design phase okay when people have already

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committed basically their resources then it's like yeah but you give like a

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thousand and i give ten thousand so i can tell you what you should do so there

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the resources are abused again

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okay and everything has to be built usually yes

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yes before we go to that stage

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i want to back up again to the goal because you're

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talking about recognizing a common goal but how is that common goal constructed

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in other words if you have a collaboration of eventually a thousand people are

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a thousand people involved in constructing the common goal who constructs that common goal okay well,

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again okay so usually of course there's like a couple of people that really pull the cart okay that.

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Really express the the goal and and

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usually those are the people that can sort of make good

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presentations present it in a in a in a

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in a very nice way so that it's convincing but

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usually these goals um that are

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then defined by individuals already i like living

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in the community for quite some time so

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um and that's where people then recognize it

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say yeah yeah i'll i thought the same

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and and then they join this collaboration uh of

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course also projects actually exist where people are

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so much ahead of the troops that they have marvelous ideas okay but if it's

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not it's if it's not living in the community okay then they they consider that

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they have this brilliant idea with the three of them okay and they have to find

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like a half a billion bucks with the three of them and And it's not going to happen.

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But then, Sebron, do you see a stage where the people who might be in front

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of the troops start really an active, let's say, campaign?

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Yes, that's usually what is being done, okay? Okay, so how is that structured?

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Yeah, no, it's just like going for it, okay? Okay, so you have this idea,

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and then typically you try to get conference talks.

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You try to get, and also what is very powerful in our case is you try to get

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invited at certain research institutes.

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You present your case, and especially you go with these people for lunch and

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maybe dinner, and you try to convince them that it's a really good case and

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that it would be really marvelous if their group would be joining.

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And the other thing that is in the first stages is that, of course,

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at that point, it doesn't cost anything.

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So it's practically resource-free because it's just an idea.

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So you join this collaboration, and then it's just a little bit,

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we sort out the business later, okay?

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First, join us, okay, and do a few studies and run a few simulations and see

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what you can contribute to the goals or to the ideas of realizing the goals. And then we see.

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This is usually how collaboration is formed and then it's then sort of it acquires

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sort of it goes over a critical mass,

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but then you start looking for resources and then actually this helps because

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you're already tied into all the other organizations the universities,

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the research institutes etc and then each of them has to fight in their own

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institute for a piece of the pie right But that means you first build a coalition around the idea,

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which is a process that has psychological, social components to it.

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Does that also lead to, let's say, a regression to the mean of the idea?

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Do you see that also as a compromise?

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Yes, of course. Like I said, at several stages, the idea is watered down.

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There's no question about it.

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Usually in the goals, okay, if you're still in the dreaming world,

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okay, you can actually stack goals. So it doesn't matter too much.

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Then when you get into the stage where you have to secure the resources,

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then that's the first time you're confronted with reality.

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And then you find out, okay, maybe you have to descope a couple of things,

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or maybe you have to descope many things.

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And then usually, of course, the people that can secure the money,

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can secure the resources, their ideas will prevail.

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Of course, usually also a couple of good ideas that are in common to everybody will also make it.

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There's no doubt about that. But then some other ideas of people that are less

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resourceful, they will have to go because they are compromised on that.

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And in fact, it's true that sometimes good ideas go. Right, exactly.

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But then, so now you form your consortium in some sense.

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Now they started to compete with other consortia to dominate for the resource.

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But now the whole process is extended over years so what's the mean what's the

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duration of such a process?

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10 years? So in our field the process of doing an experiment is typically that

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you have a phase of 5 to 10 years which we call proto-collaboration so that's

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where the collaboration is formed,

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then typically you have a phase of 5.

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Well sometimes even to 10 years where you try to secure resources it's also

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true that you never secure the resources that you really need so you have to

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decide at what point you're going just go,

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so typically at 50 60 of the resources pledged you just go and you hope for the rest,

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typically by the way this is a strong mechanism because

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um this is like with all sort of large

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as public projects if you go over a certain uh

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volume it's too

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big to fail so typically you will

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get so typically what what happens is you find 50 or

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60 percent and there's not so much problem in

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finding another 30 percent it's usually the last 10 percent which is a problem

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um because then the argument of too big to fail doesn't work anymore and for

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that you have to descope This is typically also a pity because de-scoping for

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the last 10% actually means that typically the apparatus only works half as well,

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which is something that funding organizations do not always realize.

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But yeah, this is how it goes. And then there's the time of construction.

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Again, time of construction in our field is by now five to 10 years.

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And then there's the time of exploitation, which is typically in our field now

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going up to 20 years or 25 years.

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So you're talking about...

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40 years. You're talking about people that actually can spend their entire career,

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doing one project. Right.

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This is important, right, to understand, because now the question becomes,

00:19:41.277 --> 00:19:45.677
if the goal is so critical in keeping this together,

00:19:46.297 --> 00:19:52.317
how do you assure that that goal also stays intact over that whole period,

00:19:52.377 --> 00:19:57.077
is propagated properly, and is also that you don't have mission drift,

00:19:57.357 --> 00:19:59.617
right, so that the goal fragments?

00:19:59.617 --> 00:20:04.777
No, in our case, okay, I've never seen that really happen.

00:20:05.257 --> 00:20:11.177
So the goals are typically so well, like these are typically already questions

00:20:11.177 --> 00:20:15.257
that are decades above the market.

00:20:15.477 --> 00:20:18.297
So really big things that we want to solve.

00:20:18.297 --> 00:20:25.497
Okay um some well what what are the most interesting cases of mission drift

00:20:25.497 --> 00:20:31.017
of course is that you you you build something for a certain goal and then the

00:20:31.017 --> 00:20:34.837
thing is built and then you switch the apparatus on and you look at the data

00:20:34.837 --> 00:20:37.497
and you just find out something completely different.

00:20:38.477 --> 00:20:44.417
We we don't call this mission drift okay it's just like okay you adapt your

00:20:44.417 --> 00:20:50.197
goals would adapt if the implementation stage you find new information that

00:20:50.197 --> 00:20:51.737
will change your goals or bring you...

00:20:51.737 --> 00:20:56.997
Typically, the old goals are still there, but you acquire new goals.

00:20:57.057 --> 00:21:00.077
And sometimes the new goals sort of overshadow the old goals.

00:21:01.657 --> 00:21:06.297
So famous for that is that there was an experiment that tried to look at decay

00:21:06.297 --> 00:21:11.177
of protons, proton in the elementary particle, and it's predicted to decay,

00:21:11.337 --> 00:21:14.577
but with a very long lifetime because otherwise we wouldn't be sitting here.

00:21:16.117 --> 00:21:20.777
And so you need a huge detector, and then you look for the one proton to decay,

00:21:20.977 --> 00:21:23.257
one in enormously many protons.

00:21:23.517 --> 00:21:26.577
So they build a huge detector, they wait for this proton to decay,

00:21:27.377 --> 00:21:32.217
and what they found out is that for a completely different particle called neutrino,

00:21:32.917 --> 00:21:36.677
they actually did some measurements which were done by the PhD student,

00:21:37.217 --> 00:21:41.197
because, well, they have to do something while waiting for the proton to decay,

00:21:41.377 --> 00:21:46.877
and they actually found out that these neutrinos, they change their nature.

00:21:47.417 --> 00:21:51.717
So a neutrino could start as one particle and after some while could end up

00:21:51.717 --> 00:21:55.457
as a completely different particle, still a neutrino, but a different neutrino, okay?

00:21:55.697 --> 00:21:58.637
So they could completely sort of...

00:22:00.814 --> 00:22:03.754
Change. This was a fantastic discovery.

00:22:06.414 --> 00:22:11.314
But the thing is, if it runs over such a long period of time,

00:22:12.194 --> 00:22:14.954
does it also mean you have different generations?

00:22:14.974 --> 00:22:21.134
That's, for instance, the first push even by a senior generation that in the

00:22:21.134 --> 00:22:24.694
end also will hate each other so much they cannot go on, but then there's a

00:22:24.694 --> 00:22:29.534
younger group that comes in to push you to the next stage. That's part of the dynamics.

00:22:29.574 --> 00:22:34.954
Typically, it's the old people just before or just after retirement that dream

00:22:34.954 --> 00:22:39.714
of the new big things that they will actually never see working alive.

00:22:41.434 --> 00:22:46.534
And then in the process, of course, they drag on the younger colleagues.

00:22:46.534 --> 00:22:52.434
And the most interesting thing is that the peak of, say,

00:22:53.034 --> 00:22:59.454
the young colleagues joining the collaboration is typically when the experiment

00:22:59.454 --> 00:23:02.654
is already running for a while. So in the last stages.

00:23:04.714 --> 00:23:09.434
And part of it is because the old guys in the experiment then are already busy

00:23:09.434 --> 00:23:12.254
with dreaming up the next project. Right.

00:23:13.774 --> 00:23:17.754
So we go from old to young in these collaborations.

00:23:18.354 --> 00:23:24.594
Right. The average age goes down in steps, but it goes down along the way. Right.

00:23:24.854 --> 00:23:30.254
So now we looked at the important challenge of goal setting and how this might

00:23:30.254 --> 00:23:32.614
be maintained or might also change.

00:23:32.994 --> 00:23:38.314
But you also mentioned that there are these serendipitous discoveries that were

00:23:38.314 --> 00:23:43.154
not part of the original path. path, on the average, how is that balanced?

00:23:44.233 --> 00:23:50.033
So if you look at the high-impact outcomes of all these huge experiments,

00:23:51.013 --> 00:23:55.993
are most of them on the critical path of the original goal, or are they on this

00:23:55.993 --> 00:23:58.013
serendipitous offshoot?

00:23:58.573 --> 00:24:04.673
No, typically for all the experiments that I know, hardly any of them actually

00:24:04.673 --> 00:24:10.233
have failed to fulfill their initial goal.

00:24:10.233 --> 00:24:17.453
All. Of course, sometimes you're looking for things and the things turn out not to exist,

00:24:18.493 --> 00:24:24.413
which is among the public and it's called a failure, but we think actually this

00:24:24.413 --> 00:24:27.753
is success because that makes a paradigm shift because we always thought something

00:24:27.753 --> 00:24:29.833
was there and now we discover it's not.

00:24:30.893 --> 00:24:36.293
So that is a big discovery, basically, for us, because that means that your

00:24:36.293 --> 00:24:39.733
common theory doesn't work, which is a big,

00:24:40.533 --> 00:24:44.093
overturn of the thinking exactly so

00:24:44.093 --> 00:24:47.053
in that sense in that sense the goals are nearly

00:24:47.053 --> 00:24:49.853
always met like either you find what you

00:24:49.853 --> 00:24:54.033
were looking for and in fact personally okay i always find like you have this

00:24:54.033 --> 00:24:58.813
theoretical idea and you you set up to check it and then you check it and it

00:24:58.813 --> 00:25:04.173
turns out to be true yeah it's like ticking a box okay it's really boring so

00:25:04.173 --> 00:25:08.253
it's much nicer if you don't find it, or you find something completely different.

00:25:09.973 --> 00:25:15.333
So now we looked at the goals, we looked at outcomes, but as you mentioned,

00:25:15.373 --> 00:25:17.833
the process is complex and also contentious.

00:25:17.853 --> 00:25:20.113
There are phases where people, like you said, are in a cage fight.

00:25:21.017 --> 00:25:25.717
Now, another aspect of collaboration is that also the different participants

00:25:25.717 --> 00:25:31.217
at least have a sense of trust in each other and in the process to move forward.

00:25:31.517 --> 00:25:39.057
So how is trust then defined and maintained in such a complex process?

00:25:39.577 --> 00:25:45.337
I don't know how trust is defined, but it turns out that even in these cage

00:25:45.337 --> 00:25:49.817
fights or at the end of the cage fights, people make up.

00:25:49.817 --> 00:25:52.837
So they they still know that

00:25:52.837 --> 00:25:55.737
they are condemned to one another okay there's there's no way

00:25:55.737 --> 00:25:58.597
they can they can have an exodus of

00:25:58.597 --> 00:26:04.217
people like i the famous thing okay we have is that very often we have like

00:26:04.217 --> 00:26:10.837
three ideas on certain detector construction and they're nearly equally good

00:26:10.837 --> 00:26:14.637
and of course there are some deciding criteria and you could sort of say who's

00:26:14.637 --> 00:26:17.537
best okay but but the second and third best are not so far off.

00:26:19.017 --> 00:26:25.837
And so I heard one spokesman say, like, whatever I do, okay,

00:26:25.917 --> 00:26:28.737
I will lose two-thirds of my collaboration in this decision.

00:26:29.817 --> 00:26:33.757
And this is true. But we also know that if you lose two-thirds of your collaboration,

00:26:34.037 --> 00:26:35.677
the whole thing is not going to happen.

00:26:37.357 --> 00:26:43.197
So people also know that they can be sore about things, okay,

00:26:43.197 --> 00:26:47.337
And they can sort of, yeah, what do you do then?

00:26:47.397 --> 00:26:52.477
Okay, you kick in a door or so, and then you...

00:26:54.208 --> 00:26:58.488
Go home and um but how

00:26:58.488 --> 00:27:02.628
could how can we do how do you get a little bit of shopping you return and you

00:27:02.628 --> 00:27:08.368
say well how can i help okay so you give in in the end but is trust not based

00:27:08.368 --> 00:27:13.848
because in that sense physics is a very unique domain right it's one of the

00:27:13.848 --> 00:27:16.288
few if to my knowledge the only area,

00:27:16.928 --> 00:27:22.248
in science where people succeed in pulling off these huge collaborative initiatives

00:27:22.248 --> 00:27:28.408
but But isn't that also not related to the availability of, let's say,

00:27:28.408 --> 00:27:31.548
a theory that everybody trusts in some sense?

00:27:31.788 --> 00:27:39.668
Yeah, that's also true. Like I said, that's also why there is so little goal drift.

00:27:41.788 --> 00:27:44.988
Because usually the goals are already sort of stably defined.

00:27:45.268 --> 00:27:51.928
And it also plays a role in what I said about there are a few forerunners that promote ideas,

00:27:52.248 --> 00:27:55.528
but there is lots of followers that already thought like, well,

00:27:55.628 --> 00:28:00.548
I had the same idea, okay, so I can as well join them and then we'll make it to success together.

00:28:01.648 --> 00:28:07.928
So it means that the meme is already living in the crowds.

00:28:09.108 --> 00:28:14.508
Exactly. And that, of course, has much to do with like an underlying theory,

00:28:14.508 --> 00:28:20.828
which is commonly believed in and relatively stable.

00:28:21.268 --> 00:28:24.788
So it's not like we change theory every couple of years.

00:28:25.488 --> 00:28:29.468
Right. And so what you're saying is that the trust is in the thing itself,

00:28:29.688 --> 00:28:33.848
in the ideas, in the concept, and not so much interpersonal trust.

00:28:34.148 --> 00:28:35.188
Is that what you're saying?

00:28:35.528 --> 00:28:38.828
Oh, there's also interpersonal trust. There's also interpersonal distrust.

00:28:39.528 --> 00:28:41.568
But the interesting thing is

00:28:41.568 --> 00:28:45.868
that even people that have mutual distrust in the end will work together.

00:28:47.781 --> 00:28:55.581
And really cooperate. Is competition in the sense a positive thing for the outcome?

00:28:55.921 --> 00:29:00.521
I don't mean competition over funds, but I mean competition in terms of ideas.

00:29:01.881 --> 00:29:07.381
Yes, I think overall, yes. So what the competition makes is that people are

00:29:07.381 --> 00:29:08.881
just sort of working harder,

00:29:08.981 --> 00:29:16.681
going the extra mile in developing their ideas and in presenting their ideas

00:29:16.681 --> 00:29:18.181
and getting the details right.

00:29:18.301 --> 00:29:24.661
Because they know that if any of these has a little flaw, then they will be shot by the other party.

00:29:24.921 --> 00:29:30.741
So in that sense, it works very much elevating the quality.

00:29:30.741 --> 00:29:34.761
On the other hand okay practically always

00:29:34.761 --> 00:29:37.581
it's like not quite the best idea that

00:29:37.581 --> 00:29:40.801
wins but nearly the best idea but then our my

00:29:40.801 --> 00:29:44.561
my feeling is that nearly the best idea then would still be much better than

00:29:44.561 --> 00:29:48.981
in the case if there would have been no competition right it's actually quite

00:29:48.981 --> 00:29:54.881
subtle the whole thing but now if you have competition about ideas in in in

00:29:54.881 --> 00:30:00.641
science there are various characteristic mechanisms also to express this competition as,

00:30:00.681 --> 00:30:03.201
for instance, in the critical dependence on peer review.

00:30:03.541 --> 00:30:10.421
So do you see that people also use that mechanism to dominate or win in that competition? In which?

00:30:11.341 --> 00:30:15.221
Because I'm trying to figure out what you mean, okay?

00:30:15.321 --> 00:30:20.861
So if one part has to sort of be the referee of the other part. Exactly, yeah.

00:30:21.601 --> 00:30:25.581
There's interdependence, In the background, there's interdependence because

00:30:25.581 --> 00:30:29.721
everyone is, in some sense, a potential reviewer of everybody else.

00:30:30.741 --> 00:30:36.661
Yes, yes. And in our fields, they're more or less permanently because it's sort of in the open.

00:30:37.301 --> 00:30:42.681
So I think it's not that, okay? It's not that that influences things so much.

00:30:43.501 --> 00:30:49.841
What does influence things is that, of course, some people are more powerful than others.

00:30:51.220 --> 00:31:00.320
And uh so there there's there's also a lot of backroom policy so so a lot of

00:31:00.320 --> 00:31:06.100
i mean basically all the important decisions are taken uh in the cafeteria.

00:31:07.540 --> 00:31:13.600
Right so so so there's a lot of wheeling and dealing and hassling okay uh to,

00:31:15.700 --> 00:31:18.800
to set up certain people against other people, et cetera.

00:31:18.980 --> 00:31:24.100
So there's, of course, also physicists are completely human.

00:31:24.840 --> 00:31:30.600
Yes. But now you have been at different sides of this process.

00:31:30.760 --> 00:31:31.840
You have been in the middle of it.

00:31:32.140 --> 00:31:36.260
But also, if you had the board of CERN, you have to manage it.

00:31:36.880 --> 00:31:42.320
So do you then, from that perspective, are you able to really manage and or

00:31:42.320 --> 00:31:46.620
engineer that process by, for instance, bringing people together in certain

00:31:46.620 --> 00:31:49.080
ways or setting up forms of communication?

00:31:49.380 --> 00:31:52.540
That's also where we distinguish things. Okay, so I was not in management.

00:31:52.680 --> 00:31:54.960
I was in governance, which is a different game.

00:31:56.180 --> 00:32:00.840
And in fact, most of the structures are set up in governance, not by management.

00:32:03.440 --> 00:32:07.140
And actually, this is an important distinction distinction.

00:32:08.060 --> 00:32:14.440
Because in governance, there's a little bit more distance because the governance

00:32:14.440 --> 00:32:20.460
is always over a number and maybe even a large number of projects.

00:32:21.700 --> 00:32:29.460
So it's more like a mechanism that would fit all the different things. Okay.

00:32:29.560 --> 00:32:33.040
Well, management is much more trying to tailor

00:32:33.140 --> 00:32:42.980
things to a certain situation and it really helps that the structures are set

00:32:42.980 --> 00:32:45.120
up from a more global perspective.

00:32:45.660 --> 00:32:51.580
Because I've also seen structures that have been set up to tailor the situation

00:32:51.580 --> 00:33:00.620
and they nearly always end up getting messy because they were so much tailored to the situation.

00:33:02.689 --> 00:33:10.029
New events arise they have to be adapted and then you have to add on things

00:33:10.029 --> 00:33:13.669
and you have maybe to scrap a few things and add on more things and it should

00:33:13.669 --> 00:33:18.209
sort of get a biologically grown structure and in the end,

00:33:18.949 --> 00:33:22.329
that is very advantageous for the cowboys but not for the.

00:33:24.029 --> 00:33:28.689
Straight thinking people yes, but also then the management becomes part of the

00:33:28.689 --> 00:33:31.909
situation to be managed yes, exactly Exactly, okay, exactly.

00:33:32.329 --> 00:33:37.789
But then from the governance perspective, what you can do is put in place procedures,

00:33:38.589 --> 00:33:42.969
protocols to try to structure the collaboration.

00:33:43.629 --> 00:33:48.729
Now, for CERN, did you also do that in a very deliberate way that you also knew?

00:33:48.869 --> 00:33:52.789
Yeah, all the things are structured very deliberately.

00:33:53.629 --> 00:34:00.049
So the idea is to have peer monitoring on practically everything.

00:34:01.229 --> 00:34:06.769
So that's an important thing. And so those are people that are in the spare

00:34:06.769 --> 00:34:11.069
monitoring that are very knowledgeable about what is going on,

00:34:11.149 --> 00:34:16.129
but they're completely independent to both the thing they monitor and to the

00:34:16.129 --> 00:34:18.469
body they actually report to.

00:34:19.509 --> 00:34:26.029
So also it's not like the body that is in the governance is actually arranging

00:34:26.029 --> 00:34:31.309
the monitoring, but it arranged it through a third party, which is an independent monitor.

00:34:32.349 --> 00:34:39.649
So they can also sort of say things that are not very much to the liking of the governance.

00:34:41.300 --> 00:34:47.260
And without consequences. And that is a very powerful structure.

00:34:47.980 --> 00:34:55.100
So peer monitoring is a quality control system, but that has to operate on,

00:34:55.140 --> 00:34:58.380
let's say, protocols of, let's say, communication, responsibility.

00:34:59.980 --> 00:35:04.620
So are you also structuring the OSINT in a very specific way? Like hierarchy?

00:35:08.240 --> 00:35:15.140
Well, this monitoring is usually sort of, there's not, okay,

00:35:15.200 --> 00:35:17.760
in our case, there's not so much hierarchy in the monitoring.

00:35:18.620 --> 00:35:25.120
So there's monitoring at, in principle, at a rather global level,

00:35:25.200 --> 00:35:29.680
but they're allowed to actually go into the detail. tell.

00:35:30.560 --> 00:35:35.740
So it monitors a large span of things.

00:35:36.020 --> 00:35:41.540
So part of my career, I've been into one of these monitoring bodies.

00:35:42.380 --> 00:35:50.880
And on the one hand, we were dealing with bolts that you should make sure that

00:35:50.880 --> 00:35:52.920
they were not containing any magnetic material.

00:35:53.360 --> 00:36:01.320
And on the other hand, of the spectrum, we were also dealing with the accountancy of.

00:36:03.480 --> 00:36:11.300
Material requisitions and how this was done and how this was monitored and whether

00:36:11.300 --> 00:36:14.780
all sorts of buying procedures were in place, etc.

00:36:15.680 --> 00:36:18.420
So over the whole span, we were actually ...

00:36:19.480 --> 00:36:21.660
But I'm a bit confused now.

00:36:23.320 --> 00:36:28.820
Because The monitoring I understand, but the monitoring will very often have

00:36:28.820 --> 00:36:32.640
to refer to certain standards to look at different parts of the process.

00:36:32.800 --> 00:36:34.520
And these standards also must be defined.

00:36:34.880 --> 00:36:39.380
And I would assume that's also part of the governance structure.

00:36:42.128 --> 00:36:46.528
Well, okay, that's the other interesting thing, okay? So the real monitoring

00:36:46.528 --> 00:36:49.048
is done by committees which have very little constraint.

00:36:52.868 --> 00:36:58.888
And who establishes the committees? Who establishes the committees?

00:36:59.968 --> 00:37:04.728
The committees are established by the governance structure.

00:37:05.068 --> 00:37:11.648
Okay. So, of course, there's a subtlety there, because usually they are proposed

00:37:11.648 --> 00:37:16.428
by management, but then have to be established by the governance structure.

00:37:17.408 --> 00:37:22.488
But that sounds very loosely defined then, because that would also mean… That

00:37:22.488 --> 00:37:24.768
part is loosely defined, okay?

00:37:24.928 --> 00:37:30.548
Actually, the strict standards are, of course, things like safety, accountancy.

00:37:32.328 --> 00:37:38.408
They are quite strictly defined, okay? But since we are in the process of building

00:37:38.408 --> 00:37:44.208
things that have never been built before, it is very hard to set standards for this.

00:37:44.728 --> 00:37:51.048
And we go for the common sense of the people in the review committees or in

00:37:51.048 --> 00:37:52.008
the monitoring committees,

00:37:52.850 --> 00:37:59.790
to see what is right and what is wrong. But then you don't try to then extract a rule book or so,

00:38:00.410 --> 00:38:05.310
or a playbook from successful projects to say, well, this was the playbook of

00:38:05.310 --> 00:38:08.830
this project and this could be standards for a future project. Oh, yeah.

00:38:08.970 --> 00:38:13.690
But that's again not in the monitoring side, but that is in the implementation

00:38:13.690 --> 00:38:15.710
side, so on the management level.

00:38:16.030 --> 00:38:19.430
And yes, there is also like a strong idea

00:38:19.430 --> 00:38:23.670
of how the collaboration

00:38:23.670 --> 00:38:28.770
is formalized and there are variations on that but if you look at it and it's

00:38:28.770 --> 00:38:31.890
from a distance okay then you see that the overall structure is the same and

00:38:31.890 --> 00:38:36.950
the variations are minor yeah so one of the interesting things about these large

00:38:36.950 --> 00:38:39.970
collaborations for example is they don't have a boss,

00:38:41.170 --> 00:38:47.790
so the actually the the acting boss is called spokesperson so traditionally

00:38:47.790 --> 00:38:52.810
Additionally, that was the person speaking to the management and the press when there was like, well,

00:38:52.930 --> 00:38:57.410
to the management to say how things were going and to the press to say what they discovered.

00:38:58.950 --> 00:39:05.050
And basically, that is the person now who is in charge of a collaboration.

00:39:07.670 --> 00:39:13.970
But that person has no personnel. So there's no hierarchical relation between

00:39:13.970 --> 00:39:15.990
that person and the rest of the collaboration.

00:39:15.990 --> 00:39:20.550
Usually it's somebody from a larger group so he has like some of his group members

00:39:20.550 --> 00:39:25.630
but typically in a large LHC experiment like 3,500 collaborators,

00:39:26.290 --> 00:39:32.790
then the spokesperson has like at most 20 people that he or she can fire and

00:39:32.790 --> 00:39:36.530
all the others okay there's no leverage,

00:39:37.190 --> 00:39:44.050
how is the spokesperson so you have to do it on persuasion and the spokesperson is elected okay,

00:39:45.390 --> 00:39:48.170
okay celebration so and that and

00:39:48.170 --> 00:39:52.090
that actually that is an important thing because that that gives credit,

00:39:53.210 --> 00:40:00.370
So you're elected and then of course your power in the collaboration comes from

00:40:00.370 --> 00:40:01.990
the fact that you were elected.

00:40:02.310 --> 00:40:06.910
You can always say like, okay, you don't like it then you shouldn't have chosen me.

00:40:07.830 --> 00:40:12.330
People also vying and competing for this role of spokesperson?

00:40:13.790 --> 00:40:17.010
Yeah, of course. This is highly prestigious. And again, so

00:40:17.010 --> 00:40:19.610
there's like the formal thing of of uh there's the

00:40:19.610 --> 00:40:22.410
competition and there are usually several candidates and then there's

00:40:22.410 --> 00:40:25.570
the voting and then there's all the the the

00:40:25.570 --> 00:40:30.550
things that you have in a voting process like people try to gain votes and and

00:40:30.550 --> 00:40:37.350
they make all sorts of promises etc but there's also uh and that is maybe different

00:40:37.350 --> 00:40:42.570
from a normal democracy or at least from a national democracy there there's

00:40:42.570 --> 00:40:44.710
a lot of things is going on behind the scenes.

00:40:45.750 --> 00:40:49.050
Right. So there's a lot of trading.

00:40:49.350 --> 00:40:53.490
Like if I become spokesperson, then this and this person from your institute

00:40:53.490 --> 00:40:56.910
gets this and this position in the collaboration. Right. Okay.

00:40:58.150 --> 00:41:00.950
Okay. One thing, okay.

00:41:01.350 --> 00:41:09.070
We, the Dutch, are very not good at this, okay? Mm-hmm. So that's why Italians always win.

00:41:10.230 --> 00:41:14.930
Why? They're much better at these things, okay? We always think that it should

00:41:14.930 --> 00:41:18.070
be fair and honest, et cetera, okay? And they don't care.

00:41:19.470 --> 00:41:24.650
It should just be effective. Exactly. That's also something you mentioned earlier, right?

00:41:24.710 --> 00:41:28.890
That there were cultural differences and how people approach that process.

00:41:29.150 --> 00:41:31.230
And without necessarily wanting

00:41:31.230 --> 00:41:34.890
to hear you say certain stereotypes about different cultures, still,

00:41:35.050 --> 00:41:40.650
it would be useful to understand how these cultural backgrounds make a difference

00:41:40.650 --> 00:41:45.730
in how collaborations get built up and work or fail, right?

00:41:45.810 --> 00:41:48.750
So what are the basic dimensions there?

00:41:49.826 --> 00:41:53.426
Well, again, okay, so in these large collaborations, it actually helps to have

00:41:53.426 --> 00:41:57.726
a lot of culture because some of them are more risk-taking than others.

00:41:58.046 --> 00:42:03.286
Some of them are more solid than others. And if you somehow can deploy all these

00:42:03.286 --> 00:42:08.706
qualities more or less in the right places, then it's a very powerful combination.

00:42:09.626 --> 00:42:13.366
And so, again, okay, this is in the process. So usually, like,

00:42:13.446 --> 00:42:17.666
the more risk-taking people, they're the ones with the big dreams and the fancy

00:42:17.666 --> 00:42:19.186
ideas, and they try things.

00:42:19.186 --> 00:42:24.706
And sometimes they succeed and often they fail, but sometimes you get very good ideas from that.

00:42:25.026 --> 00:42:28.386
And then in the end, okay, you have to have an apparatus that actually works.

00:42:29.046 --> 00:42:35.046
Then there's also a large part of the community, which are just very solid working people.

00:42:36.746 --> 00:42:40.806
And apart from the one or two highlights where we have a fantastic idea that

00:42:40.806 --> 00:42:45.186
works, most of the apparatus is actually built on steady progress.

00:42:45.186 --> 00:42:48.426
Progress and and so but this combination is is

00:42:48.426 --> 00:42:51.446
quite powerful and it's and and again okay

00:42:51.446 --> 00:42:54.346
you never get it perfectly sort of

00:42:54.346 --> 00:42:57.446
everybody in the right position right but

00:42:57.446 --> 00:43:03.706
there is a sort of a natural selection on that because the the the risk-taking

00:43:03.706 --> 00:43:08.806
people they they tend to focus on the parts where they allow to take a risk

00:43:08.806 --> 00:43:14.306
the people that are delivering solid work okay they They would go to places

00:43:14.306 --> 00:43:16.446
where their solid work is appreciated.

00:43:16.986 --> 00:43:26.966
So there is some sorting out mechanism, okay, with the nature of people sort

00:43:26.966 --> 00:43:29.266
of fits with the thing they're doing.

00:43:29.546 --> 00:43:32.706
Right. But then who are the real players in this context? Who are,

00:43:32.846 --> 00:43:38.546
in the end, managing to grab the most control over that complex process?

00:43:38.766 --> 00:43:42.446
Like you say, these are more the Italians or the Americans, the British.

00:43:42.606 --> 00:43:44.766
Who are the strong players there?

00:43:46.045 --> 00:43:50.285
No, in the end, often, okay, so what you see is like spokespeople,

00:43:50.385 --> 00:43:55.585
et cetera, they're very often like more of the risk-taking types and the outgoing types.

00:43:56.405 --> 00:44:00.405
And then there's also a very important role in all of these large enterprises

00:44:00.405 --> 00:44:05.185
is something we call technical coordinator, which is just what it is, okay?

00:44:05.245 --> 00:44:09.685
So it's like the person who coordinates all the technical stuff.

00:44:09.685 --> 00:44:16.965
And therefore, you need a very solid and stress-resistant person.

00:44:19.085 --> 00:44:25.085
And that also selects itself, okay? Because typically, people that are not robust

00:44:25.085 --> 00:44:32.145
and stress-resistant will actually disappear within finite time. Sure.

00:44:32.945 --> 00:44:34.705
But now, so we looked at the process.

00:44:35.705 --> 00:44:41.805
Can you give an example of what is the biggest success of your time at CERN?

00:44:41.905 --> 00:44:44.925
And what was the biggest failure? And what's the difference between these two?

00:44:47.105 --> 00:44:51.085
Yeah, of my time at CERN. I had, of course, different times at CERN.

00:44:51.225 --> 00:44:53.805
Oh, no, no. So you can choose.

00:44:54.485 --> 00:45:05.065
Okay. Well, by far my biggest failure, I consider that I lost the detector.

00:45:05.365 --> 00:45:09.025
So I was responsible for the detector, which actually melted.

00:45:10.385 --> 00:45:16.325
It was not a small detector. It was actually a fairly substantial part of a large detector.

00:45:16.325 --> 00:45:26.625
And that was because basically not all the security that should have been there was in place.

00:45:26.805 --> 00:45:32.345
And then there was a series of human failure in my absence.

00:45:32.465 --> 00:45:37.365
But okay, I still was responsible for it. So that was... How does it reflect

00:45:37.365 --> 00:45:40.625
on the process of collaboration? That was a failure of collaboration?

00:45:41.645 --> 00:45:45.805
Or it was a failure of you just not being there? No, no,

00:45:45.845 --> 00:45:56.725
it was a failure on my part of sufficiently recognizing human weakness.

00:45:57.765 --> 00:46:06.185
And trying to exclude the risks associated to that with the fact that there was like a sequence

00:46:06.445 --> 00:46:13.665
of of human failures so a highly unlikely sequence but and then you can say okay well,

00:46:14.445 --> 00:46:18.425
normally this wouldn't have happened it's not your fault etc but but any of

00:46:18.425 --> 00:46:23.385
the failures that was that was there could have been prevented if the right

00:46:23.385 --> 00:46:26.765
procedures would have been in place,

00:46:27.585 --> 00:46:34.005
right and and so in that sense okay because after that you immediately see okay

00:46:34.005 --> 00:46:38.325
if we had done this and this okay then this would not have happened and it would

00:46:38.325 --> 00:46:41.265
have been presented in at least three or four different,

00:46:42.065 --> 00:46:43.865
things that would not have failed.

00:46:45.127 --> 00:46:50.247
But of course, what you learn is that you can be more careful in thinking out

00:46:50.247 --> 00:46:51.847
all the possible scenarios.

00:46:52.447 --> 00:46:55.887
And even if you think like, well, who on earth would do this?

00:46:55.967 --> 00:46:59.727
Okay, if it can be done, somebody will do it. Yeah, exactly.

00:47:02.467 --> 00:47:10.067
But in terms of the collaborative projects and... What's interesting is that

00:47:10.067 --> 00:47:14.707
in that case again, okay, Okay, so this was a case in which the experiment was

00:47:14.707 --> 00:47:16.367
actually coming to a grinding halt.

00:47:16.427 --> 00:47:22.107
Not only that, it was actually one experiment out of four on the lap accelerator.

00:47:22.527 --> 00:47:26.107
And so the accelerator had to be stopped. So the other three experiments were also victim.

00:47:28.207 --> 00:47:33.007
So it was a big thing because you also have to realize that the running costs

00:47:33.007 --> 00:47:34.947
of these things are about a million a day.

00:47:35.227 --> 00:47:38.807
And this failure took out like one and a half months.

00:47:38.807 --> 00:47:45.947
It's not like small problem so now you're the 60 million dollar man well,

00:47:46.687 --> 00:47:53.827
this was spelled out to me very explicitly when I had to go to the director to,

00:47:55.227 --> 00:47:57.967
explain how on earth this could have happened.

00:47:59.867 --> 00:48:05.307
You feel very tiny at the time but I had nothing but support,

00:48:06.347 --> 00:48:11.467
and even from the directory it was not like okay of course this is really bad

00:48:11.467 --> 00:48:16.127
but the immediately like there's a switch like okay how do we how do we recuperate

00:48:16.127 --> 00:48:21.027
from this how do we how we get back on track right but what do you see as the

00:48:21.027 --> 00:48:25.107
biggest success then of of these large-scale experiments,

00:48:25.707 --> 00:48:33.367
over the last decades what's the biggest success story the biggest success okay so okay,

00:48:34.967 --> 00:48:38.507
Well, the biggest success of that, no, there's several dimensions.

00:48:38.707 --> 00:48:44.307
So, of course, there have been like marvelous discoveries, expected and unexpected.

00:48:44.767 --> 00:48:50.207
And we have a very different view of our universe, actually,

00:48:50.247 --> 00:48:56.247
from the discoveries of the last, well, I would say three decades ago.

00:48:58.447 --> 00:49:03.227
So this is one asset from this enterprises.

00:49:03.727 --> 00:49:07.607
The other asset is that we have this worldwide collaboration.

00:49:08.227 --> 00:49:12.067
So there's like, I don't know how many nationalities involved,

00:49:12.327 --> 00:49:19.067
180 or so, like practically all nationalities in the world, peacefully cooperating.

00:49:19.967 --> 00:49:25.567
I've seen Israelis and Palestine doing shifts together and actually getting

00:49:25.567 --> 00:49:30.487
along, et cetera. So I consider that also to be a big success.

00:49:32.087 --> 00:49:39.847
And then probably the biggest success for society is that we educated many people

00:49:39.847 --> 00:49:45.227
in performing state-of-the-art,

00:49:45.247 --> 00:49:50.807
beyond state-of-the-art things in large collaborations in an international setting.

00:49:50.807 --> 00:49:58.407
And of all the people that come to these large experiments as a master's student

00:49:58.407 --> 00:50:01.247
even, or a PhD student, or a postdoc,

00:50:02.767 --> 00:50:09.287
in the end, 90% ends up not in research, but in some other part of society.

00:50:10.227 --> 00:50:17.047
And there they play a large role. For example, the whole of ASML would not have been possible.

00:50:20.307 --> 00:50:24.967
If not for the science that we do.

00:50:25.347 --> 00:50:29.507
Not in terms of that we invented what they should do, because we didn't,

00:50:29.507 --> 00:50:33.487
but we delivered the people. Right, exactly.

00:50:35.067 --> 00:50:39.087
Go ahead, Julia. Sorry, Paul. If you were to construct,

00:50:40.607 --> 00:50:48.007
a future major collaboration using Using your knowledge of what works very well,

00:50:48.187 --> 00:50:51.927
using your knowledge of the frameworks that you had in place,

00:50:52.027 --> 00:50:59.607
but mindful of the fact that failures are inevitable in areas of science where

00:50:59.607 --> 00:51:04.107
there is not a basis of already understanding mechanisms,

00:51:04.287 --> 00:51:08.907
as you say, in many of the parts of the project.

00:51:08.907 --> 00:51:15.767
How do you try to compensate for the unknown when you are constructing a collaboration?

00:51:17.563 --> 00:51:20.423
Compensate for the unknown when constructing a collaboration.

00:51:21.703 --> 00:51:28.803
I think the best robustness you can gain is by having a pluriform collaboration,

00:51:29.043 --> 00:51:31.543
to have many talents on board.

00:51:31.843 --> 00:51:38.723
That is actually the main mitigation mechanism, is that if something fails,

00:51:38.883 --> 00:51:43.463
you have so many different angles to look at it that you fix it again.

00:51:43.603 --> 00:51:47.883
And also before it fails, to have so many different angles to look at things

00:51:47.883 --> 00:51:50.203
that failure is avoided.

00:51:50.563 --> 00:51:56.183
And there again, this competition within collaboration plays a large role because

00:51:56.183 --> 00:52:02.943
if you're competing for building the same piece of equipment and you see a flaw in the other ones, okay,

00:52:03.583 --> 00:52:06.903
you would not hesitate to actually say this will never work or your thing will

00:52:06.903 --> 00:52:11.023
burn down on the first instance because, et cetera, okay?

00:52:11.023 --> 00:52:21.023
Okay, so I think that's probably an important thing, is this competition and

00:52:21.023 --> 00:52:24.603
collaboration and the diversity of talent.

00:52:25.383 --> 00:52:29.663
But are you also describing a sort of humility in the face of the challenge,

00:52:30.543 --> 00:52:32.363
that therefore also people give each other space?

00:52:32.823 --> 00:52:36.863
Is that also what you were expressing here? No, I don't think it is.

00:52:37.723 --> 00:52:43.483
But yeah, what I say, people only give other people space when they are more or less forced to do so.

00:52:43.623 --> 00:52:47.343
In terms of things are more relaxed, okay, they don't get a millimeter.

00:52:49.003 --> 00:52:56.163
And I think humility is not one of our virtues. Okay.

00:52:57.323 --> 00:53:02.223
But I was thinking more about humility in the context of the theories that people try to pursue.

00:53:02.223 --> 00:53:08.503
Because there, of course, you enter highly complex conceptual frameworks that

00:53:08.503 --> 00:53:11.063
not always everybody understands all aspects of,

00:53:11.163 --> 00:53:18.383
where you also need to have a sense of a common approach towards the more challenging

00:53:18.383 --> 00:53:21.423
scientific objects that you're dealing with.

00:53:23.423 --> 00:53:26.223
Yeah, but I'm not sure that, okay.

00:53:31.343 --> 00:53:38.203
It's not like we're sort of in awe of the big things okay because that would

00:53:38.203 --> 00:53:43.943
be sort of freezing us so in that sense there's no humility okay we think we

00:53:43.943 --> 00:53:49.303
can find out how nature works we really do it's probably not true but we really do,

00:53:50.443 --> 00:53:55.063
so there's a lot of confidence there I understand yeah because why would you

00:53:55.063 --> 00:53:57.743
otherwise embark on such things.

00:53:57.843 --> 00:54:02.543
If you think you're not going to understand it anyway in the end, you better play golf.

00:54:03.727 --> 00:54:08.627
Well, but you could also see it like the constructs are of a certain complexity,

00:54:09.187 --> 00:54:14.067
that I need to be in a continuous dialogue with others to get my head around it.

00:54:16.247 --> 00:54:21.747
I'm not going to solve this on my own. Oh, yeah. No, no. Most people realize that.

00:54:21.847 --> 00:54:24.847
And of course, there are also some individuals that think they know it all.

00:54:25.127 --> 00:54:32.567
But most people realize that they need all this input from all the others.

00:54:32.567 --> 00:54:35.387
And it's it's it's i think by

00:54:35.387 --> 00:54:38.447
now it is probably cannot find

00:54:38.447 --> 00:54:41.527
anybody anymore who can who is

00:54:41.527 --> 00:54:47.147
actually even willing to claim that he understands uh one of the large experiments

00:54:47.147 --> 00:54:54.147
like completely right and and so in that sense but it's not humility i think

00:54:54.147 --> 00:54:59.507
it's it's because many people would like to, but they feel forced to be realistic.

00:55:00.907 --> 00:55:06.987
But understanding the limits of your knowledge is a form of humility that stands

00:55:06.987 --> 00:55:11.547
in contrast to over confidence, right? That balance.

00:55:12.427 --> 00:55:19.367
No, no, okay. I would rather sort of phrase it in terms of optimism and pessimism.

00:55:19.567 --> 00:55:24.627
And there again, in the collaboration, you find these hopeless optimists who think anything goes.

00:55:25.067 --> 00:55:30.267
And then you also have some group of people that are always like, they'll not work.

00:55:31.367 --> 00:55:37.927
Right, exactly. Okay. And yeah, and they both have a function.

00:55:38.407 --> 00:55:44.807
Sure. Okay. It would be unhealthy for a collaboration not to have this group.

00:55:45.107 --> 00:55:47.047
Yep. Now that I understand.

00:55:47.387 --> 00:55:51.747
So before we go to the final stretch, I want to understand a little bit the

00:55:51.747 --> 00:55:54.327
continuity of large-scale projects in physics.

00:55:54.407 --> 00:55:57.427
So is it fair to say that the Manhattan Project was the first one.

00:55:59.163 --> 00:56:04.043
Oh that i don't know that was really like a huge constructed project but of

00:56:04.043 --> 00:56:05.563
course well wait a minute before

00:56:05.563 --> 00:56:09.523
that okay the manhattan project is basically the answer on a sort of.

00:56:10.763 --> 00:56:23.763
Uh you much larger scale of uh german projects uh both uh for building a an atom bomb and also in

00:56:23.903 --> 00:56:26.163
rocket science, to call it that.

00:56:26.943 --> 00:56:29.423
Yeah, but that scale, that's my point.

00:56:30.323 --> 00:56:33.203
So they were also of a certain scale, okay?

00:56:34.283 --> 00:56:37.663
And actually, then the Manhattan Project, of course, was independent,

00:56:37.923 --> 00:56:41.343
and they really made it happen.

00:56:41.423 --> 00:56:44.703
But it was like really, that was really like power.

00:56:45.043 --> 00:56:46.823
It was an enormous project.

00:56:47.223 --> 00:56:51.963
Yep. But you know, it was not the biggest project during the war by the US.

00:56:51.963 --> 00:56:58.583
It was the second biggest the biggest one was for the B-29 superfortress but

00:56:58.583 --> 00:57:01.123
my question would then be,

00:57:02.303 --> 00:57:07.083
was the dynamics and the organization of these early projects like the Manhattan

00:57:07.083 --> 00:57:13.443
Project already anticipating how they run today at organizations like CERN or

00:57:13.443 --> 00:57:14.703
was there some transition point?

00:57:15.883 --> 00:57:20.043
No, that's an interesting thing because of course the Manhattan Project was

00:57:20.043 --> 00:57:21.683
really run as a military project,

00:57:22.383 --> 00:57:27.583
And since then, that has been tried one more time for one of our projects,

00:57:27.723 --> 00:57:35.663
which was the SSC, the Superconducting Super Collider, which ended up in demise.

00:57:37.080 --> 00:57:42.960
Because it was at some point really converted into a military operation,

00:57:43.160 --> 00:57:44.700
really with military leaders.

00:57:45.420 --> 00:57:49.880
And that doesn't work with us. Okay. Again, okay, it's all about the goal.

00:57:50.020 --> 00:57:58.460
So it probably works if you have like a world war going on, but it doesn't work for anything less.

00:57:58.720 --> 00:58:00.920
Right. Yeah. Right. Exactly.

00:58:02.020 --> 00:58:04.440
So how much is your science worth to you?

00:58:06.240 --> 00:58:13.920
Yeah. Yeah, it's a lot worth, okay, but running that as a military operation didn't work.

00:58:14.340 --> 00:58:20.300
Right, exactly. But now, if you look forward, and also if you look at the current

00:58:20.300 --> 00:58:25.060
situation we're in, we have two big crises in front of us, the COVID pandemic

00:58:25.060 --> 00:58:27.460
and ecological collapse,

00:58:28.120 --> 00:58:29.420
sustainability of the planet.

00:58:29.640 --> 00:58:35.860
Do you believe that our society could learn something from the rulebook of these

00:58:35.860 --> 00:58:37.540
large-scale physics experiments?

00:58:38.200 --> 00:58:43.500
Okay. Well, first of all, I'm already sort of, I heard a lot of people doing

00:58:43.500 --> 00:58:44.680
it, so I'm not surprised anymore.

00:58:44.860 --> 00:58:48.380
But I think there's quite a big difference between COVID.

00:58:48.600 --> 00:58:52.880
Of course, COVID is just hitting us now very hard, okay? But COVID is just a

00:58:52.880 --> 00:58:55.940
ripple compared to our ecological problem.

00:58:57.040 --> 00:59:01.520
Okay? COVID will go over. Our ecological problem, probably not.

00:59:02.440 --> 00:59:12.980
So it's of a quite different scale and so what maybe I think people in my field

00:59:12.980 --> 00:59:16.380
and I think many people in my field are of the same opinion.

00:59:18.086 --> 00:59:25.126
If not most. Because I think in my field, people can actually look like 20,

00:59:25.266 --> 00:59:29.366
30, 40 years ahead and look at it in that perspective.

00:59:30.446 --> 00:59:34.606
And also when you talk about COVID, it's not COVID-19, which is the problem.

00:59:34.706 --> 00:59:40.326
Maybe it'll be COVID-22, COVID-25, COVID-27, COVID-28.

00:59:40.726 --> 00:59:45.426
Or a completely different virus, right? No, that's why I label them all by year.

00:59:46.686 --> 00:59:54.426
Right. This is how it's done. But we're not done yet with that type of vulnerability.

00:59:55.626 --> 01:00:00.706
And so that requires something different than what we're doing now in fighting

01:00:00.706 --> 01:00:03.786
this one virus or even this one type of virus.

01:00:04.266 --> 01:00:08.566
So we have to think about how we organize this.

01:00:09.266 --> 01:00:12.446
If it's everyone's question, can we learn from you guys?

01:00:12.946 --> 01:00:17.666
Can we learn from you guys to then respond? Well, exactly this, okay?

01:00:17.886 --> 01:00:24.126
That if you, of course, it's important that next week we cannot go to a cafe anymore.

01:00:24.586 --> 01:00:26.546
Well, is it? Is it really?

01:00:28.086 --> 01:00:31.046
Or is it that over the years, okay,

01:00:31.146 --> 01:00:37.926
we will have a very limited life for 20 or 30 or 40 years, that our children

01:00:37.926 --> 01:00:43.746
will have a completely different life because they will have to isolate one

01:00:43.746 --> 01:00:45.626
from the other, more or less continuously.

01:00:48.676 --> 01:00:52.856
So think a little bit further, okay?

01:00:52.996 --> 01:00:58.716
So think about what you're doing in terms of a much longer timescale.

01:00:58.936 --> 01:01:03.736
And of course, I mean, if there's an imminent disaster, okay, you should solve it.

01:01:05.796 --> 01:01:13.956
But at the same time, you should live in a long-term perspective.

01:01:14.456 --> 01:01:16.676
And that's, of course, in general missing.

01:01:17.456 --> 01:01:20.896
Right. But my question was a more specific one.

01:01:20.996 --> 01:01:25.836
Can we learn from the models that the physicists have developed for their large-scale

01:01:25.836 --> 01:01:31.436
experiments to really also advance collaboration in society,

01:01:31.676 --> 01:01:33.456
responding to large-scale experiments?

01:01:33.456 --> 01:01:40.136
I don't think that in COVID it was because of our organization that they organized things that way.

01:01:40.136 --> 01:01:52.676
But the fact that in a year's time you have a vaccine is due to this focused effort, okay?

01:01:52.816 --> 01:01:56.256
So this is how we would have done it. But it's not because they looked at us

01:01:56.256 --> 01:01:58.396
and they said, oh, we do it like those guys.

01:01:58.676 --> 01:02:04.136
But because there is this huge common goal which just has to be met.

01:02:05.236 --> 01:02:08.356
And then how do we bring that to the ecological challenge?

01:02:08.356 --> 01:02:18.176
Challenge yeah so there my feeling is that apparently people are only compelled

01:02:18.176 --> 01:02:20.116
to actually go for the goal,

01:02:20.896 --> 01:02:26.716
when they really feel it when they recognize it so so.

01:02:27.956 --> 01:02:34.096
As long as as you just drive your car okay you hardly notice from day to day

01:02:34.096 --> 01:02:37.216
that that things are deteriorating I mean.

01:02:40.718 --> 01:02:46.198
Yeah. So it's about times. Again, okay, it's about timescale.

01:02:46.198 --> 01:02:48.218
It's about thinking about the long-term perspective.

01:02:48.518 --> 01:02:54.098
And I think, in general, humans are not very well adapted to that.

01:02:55.258 --> 01:03:01.358
No, we're not. Which is also completely logical in terms of looking at the evolution, okay?

01:03:01.798 --> 01:03:07.538
Because if something is threatening you today, you should immediately respond to survive.

01:03:07.538 --> 01:03:10.558
Survive and if it's threatening you in 20 years you

01:03:10.558 --> 01:03:13.518
can still produce some offspring and you and you survive that

01:03:13.518 --> 01:03:19.858
way but now do you believe humans will be ever able to collaborate effectively

01:03:19.858 --> 01:03:24.558
to answer these kinds of challenges will are we able intrinsically yes in particle

01:03:24.558 --> 01:03:29.838
physics we are in in astronomy we are okay there's more fields like this so

01:03:29.838 --> 01:03:32.878
there are fields in which it has been demonstrated.

01:03:34.978 --> 01:03:41.718
So, yes, it can be done. But I think what may be important there,

01:03:41.818 --> 01:03:44.958
of course, is the subset of people that you...

01:03:48.278 --> 01:03:55.218
It's also selection bias, right? Because it works in physics because it works in physics.

01:03:55.998 --> 01:04:01.298
But maybe in other domains of human endeavor, However, the conditions are not

01:04:01.298 --> 01:04:06.478
conducive to actually instill these kinds of collaboration because of whatever,

01:04:06.678 --> 01:04:09.738
competitive forces, resource limitations, what have you.

01:04:10.398 --> 01:04:12.598
Well, it's more like a short-term win.

01:04:13.878 --> 01:04:18.958
Sure. That is the most destructive force, I think, for these things. Yeah.

01:04:19.358 --> 01:04:23.398
But now, if you could change one thing in humans in order to make them successful

01:04:23.398 --> 01:04:27.898
collectively, also as non-physicists, you can change one thing. What would you change?

01:04:33.098 --> 01:04:36.638
Probably would help if you could kill the instant satisfaction gene,

01:04:38.958 --> 01:04:44.618
alright Cybron de Jong, thank you very much for this conversation ok hi,

01:04:44.778 --> 01:04:47.758
you listened to one of our podcasts in the series on collaboration,

01:04:48.758 --> 01:04:53.558
produced by the Ernst Trommel Forum and the Conversion Science Network you can

01:04:53.558 --> 01:04:55.838
find more episodes on our website.