[Automatic captions by Autotekst using OpenAI Whisper V3. May contain recognition errors.] I will now log into Netgema.
I've already done it.
And I will create a Netgema.
and I will activate it to my EduCloud project to deliver some data and you will all be part of this mini research project of mine based on if you are online or here and how tall you are.
And then I will log into EduCloud, take a look at my data and I will
store them in edu cloud and then i will go into a service called open on demand and i will generate a temporary super powerful server on fox and i will do some easy analyzing so um hold your breath this will be awesome i hope so i will then say that i oh
Yes, you can let me know about that.
It's important that I got into English when I talked to you, and then I can't complain anymore.
Yes, that went well.
Thank you very much.
You've been speaking Norwegian all day, so you're really good.
Yes, research data collection.
I create a new schema.
I call it TST, or an EduCloud schema.
That's one of the points here, that a lot of things should be as similar as possible in EduCloud, and we use a lot of the same code databases.
And then I say that I ... I take it without input and stuff.
It goes well.
I don't even need to know who answered, so I don't care about any of this.
Og der har jeg fått meg et skjema, og jeg kan begynne å legge inn spørsmål.
Og det er klart at det kunne jo vært kjønn, og ja, noe vet, bla bla bla.
Jeg har juksa litt, så jeg hopper rett inn i et skjema som heter dataforskningsskjema.
And if you sit physically, what do you do?
That wasn't any more fun than that.
And how many vacation weeks you will have.
There are many exciting values here that you can get a lot of exciting data from.
You will soon be allowed to deliver a data, but I can't start collecting data before I have activated the schema against EduCloud.
Before that, it doesn't work.
So then I go to this tab and see that I'm going to connect this to TSD.
Are you ready?
I confirm, I'm ready.
The worst thing that can happen is that you are allowed to create new questions after you have activated them, but you are not allowed to delete them.
It's very short-spoken, but you may not make as many changes in the schedule after you have connected it.
Here you can see that we have the same rights once again, because there are many who often need to test a scheme without logging in, for example, and then the idea is that you put it right at the end.
I connect mine to EduCloud and log in to this project.
You see, here you can already see the projects I have access to.
That's because I was so smart that I had logged in in advance.
Logging in with EduCloud, in parallel with Fade in NetSkjema, it stays on the login for a very long time.
So then we can start collecting data.
I have created an URL, NetSkjema.a.data.io, but of course I most want to use this QR code here.
So then it's just to find the mobile and join my little research project.
so that we can get some data to do some analysis on FOX.
It's a kind of competition between those who are at home versus those who are here in the hall, because that's the main...
At the IT conference, we didn't have much limitation in the numbers.
A lot of people answered stupid questions, like a thousand weeks of vacation.
We've been a bit more restrictive.
We had to do some tricks in R. When we do the analysis in R, we have some competent people with us.
I am now somewhat happy.
We can let this one stand a bit in the corner, maybe, if someone is a bit slow.
But if I now... Let's see.
If I now go and see the results, then we see... Oh, oh, oh, I'm running out of data.
There was a nice graph that Jones showed.
It was very... Here we can take... Couldn't we set it per second or something?
Here, you know, days... Oh, it was he who got seconds.
Hmm, maybe he has some extra stuff?
Or because it's an edu-clad scheme?
Yes, yes.
It's at least a good 107 answer.
Now we need all the data power we can get.
Now we've heard, the earlier keynote speakers have talked about enormous amounts of data.
Do I have to give this?
Thank you very much.
Yes, you get it, you get it.
Yes, yes, yes, yes, yes, yes.
We collect data here, so it's always very good.
Let's take a look at the data.
For those of you who have seen NetSkjema before, you can see all the responses.
That was fun.
This is the only thing we have of information about the responses.
You can delete it here, but what happens?
You delete the entry in NetSkjema, not in eduCloud or TSD.
This is just a small log of what has happened.
We don't have access to more than this.
The data has never been stored anywhere on any of the servers in the UI's infrastructure.
Just log in to the mini-net, which has been encrypted into EduCloud.
Let's log in to EduCloud.
I'm not going through it step by step.
We have good documentation and other videos on it, so I have ...
I got in here earlier.
Then I got in, and then I'll show you.
We talked about this earlier.
You have to go to the network, educloud.no.
Which is a website that allows you to go outside of EduCloud, but then you get a error message that... Let's see here.
It's pretty decent.
It says here, this service is available only in EduCloud.
So you have to log in.
Just like I'm here.
So this is only available in EduCloud.
I was already logged in, fortunately, and I also remember which project I had, because it was the last project.
You can already see a big difference, because I have access to all my projects.
The desktop I'm on now, it's personally mine, and not project-specific.
So that's one of the technical differences.
It's not like you have a shared Windows server, like you have in TSD.
Here it's my desktop, but it's the things I have access to.
It's a slightly different setup.
So I go here, and... And there I got a new login.
We work a lot with getting the single sign-on between many of the services here, but we can never go at the expense of the security, so it comes gradually.
We get it more and more.
So...
Here we can see that we have gotten 147 answers to this scheme.
Ta-da!
Here are the editors of many of these books.
It's a lot of fun.
This is very interesting.
If I... Here I have the opportunity to look at the data.
I can go to someone sitting in the auditorium, a boss, 4 weeks holiday and 175.
It's almost as if I know who this is, actually.
It's interesting, of course.
But I think many... I think maybe we have a little overweight of bosses here.
I suspect when people... As people respond, people respond more funnily.
When I'm going to download the data, I have two ways, or I can either get it in Excel, or that's not really the Excel we have, because we don't use Excel without you paying for it, so we use OpenOffice.
But you can see here, I can get the data in here, and here you can see that there are codebook values.
But we also have the option to say without codebook values.
For those who like to have regular rain arches.
Here you can see that it doesn't say Høyde.
It says the whole question as a column name.
And that can be nice when you just want to use it as a rain arch.
Because then you don't need to have cryptic names on it.
But...
I have learned that researchers definitely like best code books, and they also definitely like best CSV files, so I'm going to download that and get a file down, which is this file here.
I think I have to write here that it's called my research.
That was the best I could do.
So I'm going to save it in a place that I think I'm ready to find it again, and I'm maybe going to put it on my documents.
There I put it.
It was obvious that I had done something before.
So there is my CSV file.
So now I'm going to send it in and analyze it on our computer.
Then I go out.
of EduCloud, because I will only use the service that I have on the internet.
I could have done this in EduCloud as well, but since I don't need it, I just use the open service that runs on ondemandeducloud.no.
And that's when I have to get an expert to help me out a bit, because I'll be short soon when we start programming in R.
Here you can see that we have, among other things, Jupyter Notebooks.
And for those of you who don't know, this is a common environment for running Python programs.
You can imagine that you have a file with 1.5 billion lines, as some of you mentioned earlier, that are in EduCloud.
And then you have a data program in Jupyter Notebook, and then you play it up, and then you run through this program.
I'm going to use RStudio, and click here.
And now you get the cool setup.
Now you can order a server.
And since I'm the boss, I take a powerful 250.
Don't take the most powerful I've ever heard of.
Because it takes a lot longer to get.
But I do it.
I think I deserve it.
So 250 GB of RAM and a dedicated A100 Nvidia card.
That's how it's supposed to be.
Let's hope it doesn't take that long.
But now they've sent an order to allocate all these resources to Edukado, so let's hope they get it in one go.
So, already now, I can start this server, and it looks like I was allowed to have it for one hour.
It was an option when I ordered it, how long I wanted it.
That means I have access to 250 GB of RAM, and so much RAM I've never had before.
Woohoo!
I don't know how to use it, but I've realized that analysis tools like Excel and R read all the data in the memory.
So we have some researchers in TSD who have lost a lot of RAM.
And maybe it's a little unnecessary that they're sitting and snoring at you, snoring at the internet and on weekends and all that while they're not working.
So now, Luigi, now you have to come and help me a little bit here, because now we're going to...
Try to ... You can wear that, you idiot.
Luigi might have seen something on the net.
A celebrity on the net.
No, Luigi has a lot of courses.
Now in the last one, a lot about, among other things, GPT and instructions, but he has also had a lot of R courses.
And here, you know ...
I pressed there, and then it came up, and I found the file.
This is good.
And then I choose like this.
Okay, yeah.
Okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay, okay
We're going to do some analysis, and that is...
Now we're inside Fox.
That's what's so fun.
Now these data are in memory of Fox.
Now we use, of course, 2 promille of the 250 gigabytes that I've allocated to the team, but we can handle that.
What are you doing now?
Now I'm loading an R-pack that reads up the data.
I have to read it in a different way than we did just now.
Lynkursier, folks.
Now you have to follow along.
Let's see...
Do you know, by any chance, the path to that file?
There was something about a PC.
Yes.
Maybe it's in... Maybe it's in here?
Okay.
Go up here, and then I can do this.
No.
No, it wasn't that, you know.
Now let's see if we can find the father of the other one.
You think it's the wrong file?
You think it's the wrong one?
No, yes, but it was that one, but I don't remember.
No, I don't know.
Okay, let's see how we can... But I managed to open it just now, like that.
Yes, it was this...
Let's see where it is.
Documents.
Is it documents?
Or PC?
PC.
Everyone just has to contribute here now, by the way.
Yes, there wasn't anything.
It was PC documents.
We can hope that it's the right place.
Then you took some food.
Not any food.
Not any food, not any food.
There, yes.
Fantastic.
I notice people holding their breath.
Now I'm a little stressed.
This is going well.
This is going very well.
Was it research?
What was the file name?
Yes, my research.
The one called my research.
My research.
Yes, that was... Research.
Let's see.
Now I've loaded it into R. Let's take a quick look at it, so I have a better idea of how to make plots and such.
The idea here, what I was going to show, was some simple data visualizations.
It's actually the same as Arash showed in his fancy stuff, but on the hard way.
All the kids in the future will have access to this, of course, via...
It's a good idea, but you can also do it for real.
Let's see.
Here we can see, for example, where people are, whether they are in the editorial office or at home.
And then the other is who you are, whether you are a boss or an employee.
Where most of the different things are, for example.
Let's see what we get here.
Out here.
I think people will remember this better than if we had just said it anyway.
I've loaded a note for those of you who write bad R-columns.
You know what, we'll try something else.
We'll try where you are compared to holiday weeks.
Let's see if we get more.
So.
Now we're going to add something.
It's a little unnecessary, but let's add some colors.
Yes, but fun.
Colors are fun.
He didn't have that much colors.
No, now I did it wrong.
Let's see.
Typical.
One moment.
While we're coding, there's a chance for questions and comments around this.
I don't know if we can see it right now, but here we can see that it seems like there are about the same number of people sitting here and from home.
And then there are some who answered unknown.
I don't know why they don't know where they are.
Yes, because I didn't demand it, no.
They wanted to answer.
Yes, yes, you could answer that.
Maybe there are people who should be here, but not here.
Yes, what else can I show?
What do you think of yourself?
Yes.
Mainly.
So it was, who?
And what should I, who?
No, we're wondering if the boss is higher.
Yes, okay, who?
That's what everyone is wondering.
Is the boss higher than the rest?
That we can go to.
Let's see.
And then we can get the height.
No, that's because I wrote it wrong.
There we go.
No, now it's just a joke.
Now it looks a bit like the stuff that Arash had with the dots.
Was that what you had a lot of?
Plots?
Let's see.
Yes, I think because... You have to have some time, so it's fine.
Just take that time.
There, yes.
Now we got it.
No, why didn't we get that?
Ja, det er ekstremt mye sjefer, ja.
Det var det jeg mistenkte.
Jeg får ikke gjort det noe særlig større, men skal vi se.
Ja, så her ser vi at... Det er faktisk lederfamilien dette egentlig, ser jeg nå.
Vi ser et slags mønster nå.
Nå er det litt overparenkeligt, men at studenter er høyere enn sjefer, og høyere enn it-ansatte, og høyere enn forskere.
Ja, studenter er høyere enn... Høydene prikken.
Each box is in a way a category, and the higher up you are in the y-axis, the higher you are in the height.
So here we see that students are the highest.
How do I do it?
Remove some outsiders?
That is to say, extreme values, so these dots could be seen as extreme values, not actually external.
Okay.
It was a bit of a flower language.
That's the statistics.
Yes, that's the statistics.
And there was maybe one more thing we could look at.
There was something about holiday weeks.
Yes, who has the most holidays?
I don't think it's comparable to what people consider themselves to be so interesting, because everyone considers themselves to be the boss.
Yes.
So the data is basically a bit unused.
There might be holiday weeks up to...
The height, maybe.
Maybe there's something there.
Long people might have it worse on vacation, because it's very heavy for long people.
Maybe that's why they don't stay at home.
Now you're picking up those variables again.
Yes.
I'm making a new record with... Let's see if I've done it right.
No, I've added one more thing.
Take away the exhibitors, at least.
I don't know why you're not coming up here.
Maybe everyone answers the same?
Everyone answers 10?
Everyone should have 10 more.
People are so insincere when you give such research projects.
So that's what it shows.
Here there's no correlation between Høyde and holiday weeks, which is fine.
It would have been unfair if those in Høyde had more holidays.
So in that sense, it's good.
Very good.
I thought I would show something that is very interesting, and that is that we have offered some software.
Of course, R and the thing we did now, we could have done on a regular PC as well.
Apart from if we had 1.5 billion lines and big commands.
The same would cost a lot, and that's when it's nice to be able to say, no, I need 256 GB RAM in a few hours.
There's some software here that you can't run on a PC, and that's this Stable Diffusion, which we think is a bit fun.
And that's because it can make pictures.
This is AI software, which is a bit like...
It's hard to run a lot of the big things.
After the break, we're going to hear about Whisper, which is an AI model we've been working a lot with lately.
It's also very hard to run locally.
GPT models can also be hard to run locally.
So I've probably kept all the GPUs with my first server.
It usually takes some time, but I ordered a server to run this Stable Diffusion, which is a framework for generating images.
I don't know what to use this for, but it makes images.
Now I don't know who came here, there was a lot of police, but it was Jens Doltenberg.
Doltenberg, a blind man, for example.
So we make an illustration photo, in case we don't want to go out and take pictures of what is here now.
So I make a picture, and I don't know, it was fun.
I don't exist on either Fox or Colossus.
I've tried to convince him, but he can't do it.
He's just messing around.
So it's not that fun.
It's more fun with people he knows, that he's trained on.
And Jens Stoltenberg, he... Oh, oh, oh, oh, oh.
That was a little cool, though.
It doesn't look... It doesn't look good, though.
This is what we enjoy ourselves with when we don't have anything else.
It's actually better than just... Every time you make pictures, there are completely different new things.
Sometimes it looks like a photo, sometimes it looks like weird stuff.
It's like some artists have put their mark on...
Oi, oi, oi, and now they look more like brothers, maybe.
That was an example of something else.
We expect more software to be available, and then it's typically software that needs a lot of resources.
And we don't want people to set up and order hard.
services to run the heavy software, and they just need it for a few hours up and down.
And here it has just taken the minimum period, which is one hour and two, but you can now get it a whole day of work, for example, if you are going to sit and work for a long time.
And as you saw here, you then simply store and read it from your storage area on EduCloud.
I have a question.
When is this coming to TSD?
We should be able to have this in TSD.
We will upgrade Colossus in August, and then the on-demand service will hopefully come in the fall.
And then we can use Colossus Reiner resources in the same way.
So we think it can be useful to have projects in TSD in the future, without virtual machines, if it works with on-demand.
With only on-demand.
But do you want to go to the browser as I do here?
Almost, yes.
The first thing you get up,
is a list of virtual machines you have access to, and there you can also have an app that is on demand instead of a virtual machine.
So it is quite possible to use them via Netlaser without a virtual machine.
So remote access works.
That would give a lot more stability
because other users don't affect you when you're calculating things.
That's often the problem, especially when you're working with programmers who need a lot of memory, that there are several who compete with each other.
And here, when you first have a job, you only have these resources for yourself.
But in many cases, they will drive it into the browser in TSD.
That's probably where a lot is going to happen.
There are many researchers we know who have big CSV files in TSD and need 256 GB of memory in new and new.
The most important thing is the user experience.
You don't need to learn new things to take more resources into use.
what you already know about programming in R or other tools and just move it to
Yes, because I managed everything here, except that I don't know how I'm programming.
Yes, but you might take the whole thing this year.
Yes, this year I'm going to take Luigi's course all the way.
I think we're going to do it in four minutes, Leon, because we jumped a little over the Health Norway integration, so we were actually just going to say something about it, but we didn't put any foils on it, and I just took that transition of consensus.
But now we can just... Maybe you can find the foil you had...
in the introduction.
But yes, we now have an integration with HealthNorge, which means that if you are going to invite people to answer on a web-scheme for your research, you can invite them via HealthNorge.
So that they get a normal message from HealthNorge per SMS that you have received a task.
Then you log in as an investor in HealthNorge.
Then you get a task in your inbox.
And when you click on the link, then you have single sign-on to that scheme.
Then you fill out the schedule, and you get a digital copy in HelsingNorge afterwards.
This may sound simple, but it's not.
It's often the case that when you've implemented things correctly, it sounds simple.
This is how it should be for the developers, that they relate to Health Norway as usual, and that in the background we collect data in a dataset in TSD, and that the researchers have access to it.
And to set it up, there is a part of a manual process still.
We work with making it self-sufficient, but when you have defined a diagram,
that you want to make available in Health Norway, you can contact us and we will set you up.
So from the perspective of a clinic, they have a user that they work with in the network diagram to set up, for example, a consensus and research diagram.
And those who are going to research the data, they work as usual with the ITSD network diagram.
And then we have the integration in the background with MediInsights as well.
So a very nice example of collaboration through organizations and systems, which has been very difficult to get to other places in the healthcare system.
But here it works very, very well.
If you have a health-Norge-schema and want to talk to us, we will look at the TSD-project, so that it is allowed to create tasks in health-Norge.
This is how it works.
We have to verify the whole round, because it is a very heavy requirement to be completely sure who is responding to the scheme.
And we don't use the ID port, because Helsingborg has its own long-term authentication, since it will work on the mobile app.
That's why we have to change the authentication, so that when you enter Helsingborg,
When you go to the network, we know you're from Helsinki, and that this is a route we've already walked up.
And then, as Leon said, you follow the network and deliver the data to TSD.
And in many cases here now, it is the consent that TSD sees.
The consent is going to Mediinsight, and then we send it in there.
And in addition, the user will return to HealthNorge after they have answered.
They will also get a copy of what they have done.
We have also had a dialogue with HealthNorge about that we will integrate with their community border interface.
So that when there is a health-related community that has gathered through the network, it will show up.
in Helse Norge.
Helse Norge says that there are several types of collaborations, and there are some things they have made themselves, but they see for themselves that we can also be one of them, which is one of the things you can use it for, but you can also use it for other types of data collection via Helse Norge.
What is important to inform about here is that in order to be allowed to use this solution, you must have an agreement with Helse Norge.
That means that, among other things, the University of Oslo does not have the right to use this solution.
But Folkehelsa and OUS, among other things, who are our major users, they have the right to use it.
Yes, and they have in some cases chosen to use it in an interesting way.
We have a borderline network where you can invite people, but they have their own security systems in FHI.
And they have asked for access to our APIs to be able to
to create these HealthNorge invitations ourselves through our API.
So if someone wants to use this and already has their own limit to invite people in some way, then I can continue to use that limit.
to our API.
And what people are doing is that they are sitting on birth numbers.
For example, for everyone in MoBarm, which is quickly a couple of hundred thousand birth numbers, and they don't want it to be handled manually or anything like that, so they push those birth numbers into us, into that project, and then generate the invitations we talked about.
Yes, and that also shows the evolution of that place, that it is a fairly open platform
in some ways, and the look in other ways.
It's open so that you can integrate from other systems towards TSD and other ways as well.
That's the search system mindset.
So we've talked a bit about the collaboration we've had with Norwegian Health Network and Health Norway, and what we expect this to come with.
work much further with, and that we become an important actor there as a non-commercial provider of both consent and other types of data collection.
Folkehelsa has not used us for consent, they are most interested in data collection.
And the first project here is a clinic where they invite us with a network diagram via a birth number, and then it goes that way into the TFT, make an invitation, and so on.
So there are several areas of use here that we have been and followed up on.
So if you want to take this solution into use, you can contact us.
And if you work at UiO, make sure that the project has the head responsible, an institution that already has an agreement with Health Norway.