 Thank you for the presentation and thank you for having me here, it's great actually to have the opportunity of sharing with you some of our results but also to collect your feedback or your ideas would be really important. It's very important to me and I just want to say, I'm going to read some of the slides because you know, I'm getting old and I'm losing stuff. So, and this would be a pity. And also, another important thing to mention before starting is that this presentation is designed to not just to jump into the technology directly. I also would like to a bit present the way of how we reach such a conclusion, meaning what doesn't mean virtual reality for us. What does it mean actually using virtual reality for identifying new creative patterns in research and so on. So, and also of course you refer very much to archaeological material but I believe that this can really be extended to many different fields, both to actually we engage quite a lot with other fields as well. So let's see if this works. So yes, no. Oh, sorry. Oh, yeah. Okay, so yes, my name is. I'm a professor in digital archeology at the Department of archeology and science history here in Lune, and I'm also the scientific coordinator of the art club, the Lune University digital archeology lab, which is based as a facility in the department of archeology and deal with the large amount of projects really adding in different directions but all of course focus on spatial analysis to the visualization and archeology. And the project which I'm going to show are not. Yes. And of course, what are the result of many different works. And of course there is a lot of people involved. Actually, I just noticed that a few people are missing few new elements of the labs, but yeah, sorry for that. Yeah, but there are of course many people involved from postdoc PhD lecturers so and of course the lab is structured also in a lot of ink and from different actors within the department plus fooling from the faculties and from different proteins but still it is. Yeah, it's a very large. What should what's what actually we do. We deal a lot with technology in the field. So we use it in the field to help us in identifying the patterns to analyze materials in a different way, and for extending our capacity to understand the field, because archeology is very destructive. So basically when we pass, we destroy move forever the layer and then we progress so the documentation part is crucial. And also the possibility for us to analyze in the material. You know in the document documenting and analyzing the material in the best possible way is really the core of the process. So, really, we were established as a new university infrastructure in 2017, if I'm not wrong. So we're quite young infrastructure but we have been active in many different fields with a very good network with, you know, very good impact in publications and scientific publication in different fields, but also in projects with really external companies and now our ideas that we would like to expand also for external users, because we got a lot of contacts with the police forces, the museums, land sales and forest industry so we believe that we've got this very positive feedback on the fact that this can actually be also interesting in other in other fields. So now let's go to the point of what does it mean the third dimension so how do we use the dimension right because actually, you know you use it every day. Also the concept of virtuality, you have been using probably right now and you certainly use it today and certainly is part of what you are. It's not about technology really it is about understanding what we want to do is our capacity as human beings to construct to to idealize to conceptualize and then to create. So, but from an archaeological perspective, I would say that's after a phase where virtual archaeology was mainly theorized for being used as an illustrative tool so something basically to represent an image. So, because archaeology and archaeology start considering virtual space has a tool for discovery. And this was actually particularly interesting so it was not just to make the pictures really, but was actually to understand to see if we will achieve a better deeper understanding of it. And of course, this was the next slide. Yes. So the most interesting discussion concerning the space in support of knowledge production we find this very interesting book which is behind the illustration of better Fisher, and Anastasia the hill, and specific fresher in this very first publication is start discussing about virtual reality in terms of heuristic model. So there was already theorized by other scholars in being, you know, I mean, they say well, if I have an atlas of information like a sort of a legals, we can say, or if I actually start combining different pieces and better understanding from the top can actually understand more. And actually, for sure, not just in here but also in other publication it demonstrated for example how few hypothesis from the Roman from the Arab ashes in Rome, but absolutely wrong. So it will actually explain exactly why this was wrong and why actually so it could observe the phenomenon reproduce it and then understanding, which in science is pretty, I would say normal procedure. So we have to start entering, entering with social science and all, you know, with any age is that being extremely complex so having something which allow you to control this is really, really valuable, but this was actually in the 2000 and then we have is that it is interesting how the book cyber archeology of Forte and Maurizio Forte describe virtual archeology as a static graphic and orient graphic oriented distributes incapable of providing anyone also archeologists with the tools for the initial past. So by introducing the concept of cyber archeology for the shift of focus on simulation rather than visualization. So describing the disability, what interpretation occur as a result of a dynamic exchange of information with the user and the digital environment. It is very interesting this part, so it's not anymore just we producing a 3D model and we using it actually we collect the people from it, we understand, you know, in a very, in a very strong exchange and we, and we are actually able to move on in a different direction. My favorite from all the others is actually match at work. You wrote this seminar, very interesting paper titled from paperwork to screen work. And we're indeed describe the digital domain in archeology, not just as a tool for discovery new information, but as a place for this story. And this is very important because this is a something which I believe also our science is facing at the moment you know, is not making an analysis to get the result. It's actually the virtual environment is the place where you actually understand that result, which is a very different concept is a big shift in many senses. And he's by the way he's actually an anthropologist. So study how archaeologists document, or you know it's extremely very, it is a very interesting perspective in the lines. This is also how using computers for modeling and visualizing archaeological data impact the organization and political structure of the disability. I also argue that computer representation can be used for challenging theories and ideas at the very same level as tangible materials, reinforcing the idea that those have effect far behind the sphere of discovery. So engaging with this is changing more or less everything, and also think today, we also want to speak with the students. So it's changing very quickly because you know they're all into social media and everything but he made for example a much social media impact your life or many relation physical relation you actually you can build also research without actually meeting that person. Everything actually happened. We didn't let me talk about collective intelligence for example so everything happened in a bit for space, much more than what we think for us it's like all, you know, normal today but it is not. It is something actually we're encountering and this is affecting as much as we'll say the disciplines all the disciplines in a very political way or in a very structural level. So, but now a big question. How did they tell us to use it, because you know the way what we think, if the reality of 3D should supposed to be used. It's not really something that we will reach by our own we're all the cultural products right so we're all, you know, in a way products of our society. So, and if we actually are going to look at how we conceptualize this reality, this comes very much from actually the cyberpunk literature. Oh, for example, meta Facebook metaverse. Well, you know, it's this guy who actually meant the word metaverse in a no no fresh fantastic by the way the Negromancer from Jitson so fantastic history which actually people used to go to move really physically in a in a different domain and doing other things. So they talk about having a sort of two passports, right, so the people that the person who is living in this world was another person from where actually this person was moving on on the different world. Yeah, yeah, I can see your face. Where is it going. Well, I can actually tell you that you probably recognize this. Don't you, the metrics from the lower woman. So they were actually all of them all this literally we have been seeing across the years. It is about this. The role of a man is very real guy, you know, taking care of gardeners and then you know, he refugee into this garage, he plug himself into this system and he was in another world different people from fantastic an arcade game. You need to win your game game before getting into the other world. It's not really much connection. So you are war one or the other. So you are in the age of why no way that's why you remember the fiber to remember how Neil used to go in in metrics, it was packed from the back exactly a computer, and then it was in a different dimension, a different person you see division is completely untouched. And this is 2015 play a number one, basically the same complex. The only thing that is changing is that today we all use this right. The new movie has this. So my point is, this is really. This is really it. This is the way about actually built a reality or these approaches been pictured to us. But I doubt it is actually a reality. I fairly believe, as much or what much will say that these actually very much embedded in everyday life in what we do every day. But actually is the only way to make him to be sure that this actually has an effect in our also in our way of how we perform science. Yes. So, again, the digital dimension is part of our everyday life. Similarly, it amplifies our capacity as human beings to define your knowledge. It is a place for thinking, where it is possible to take different perspective and most importantly, to gain the grand picture. And they can, it was a Nobel Prize for for economy 2006. He with his, you know, seminar work remind us our limits in handling complexity and large status. We need to have the technology to progress in our research within practice and to solve complex complex process, but we need to engage with it properly. So we cannot easily deal today with big data. We have them available, but actually are not made for us are made for something else to be mediated with us. You know, think to big data without actually having system for managing them to collecting them to regroup them and better understanding. So I think the shift of this whole discussion. It is about the space between the data, big data, and actually us. All right, so. And now, another question. Why so difficult to use this new data to promote creative practices, because it's not so immediate right, and we recently me and a colleagues of mine from the University of York James Taylor we wrote. We tried to theorize this, we wrote an article called the scale of these more practice. So you can reach the article to, you know, by the way, all the, there are all citations or so. And we've been, you know, discussing a lot because we were saying, why would I make a 3D model people ask me if I can actually make a session, or, you know, you have a 3D model, why do you want a session on a plan. So, it is a lot of overwork and probably happen to you the same so you have to deal with incredible data very often. The common practice request you to produce reports of information in a very, let's say, whole style. There's nothing wrong with the whole style as far as actually doesn't interfere with our capacity to progress. So, and we came to the conclusion that this is all normal. And we also need to embrace this, let's say slowness is a process we are human being, but you know, after all, so we think that the first part is the emulation. So in which actually when you have a new technology, what you do you use this new technology in the very same way you were using the old one. So, actually, this is kind of study quite a lot in design, especially in the way for example of phones for many other tools are you so we need it as you might as soon as actually you start engaging with it, you start to socialize with these tools. And when the socialization part is done, then you start transformation to transform, you are actually able to create new practice. So by having a newly flashy, you know, instruments or center or anything, it doesn't make the magic immediately. It takes time, because we are humans, and we work like that. But my point is, if we actually can control this if you can have this under our nose and using actually as a tool for understanding what we are, probably, we will be more effective. So, for example, about that, because I want to be such critical. So, it is fantastic experiment, all 3D, you know, like, because you know in archaeology we work with deposits complex, we have all the 3D context, you know, we are going to simulate the sequence of context we're going to remove document and remove. It's going to be nice and so on. And then, you know, if you look at Harris, this is a PhD 1979 of students who wrote to this very similar this is actually the most used method now means to dig up your single context method and then he actually designed this idea of creating of how actually we remove the material, because in archaeology what is on top is younger and so on. But in this book, in the 70s, you already say, well, you know, sessions and plants are because we see what a 3D, and what we need to do is basically ground in a granular way to understand all the single part. And the point is, what is the innovation. We're so known in novelty, we're just, you know, using technology which was available to do something which was theorized in 1979. Now I was very frustrated when I started thinking about that but then I realized, well, this is not really a problem. If we look at some time I think that this theory which we have been formulated for justifying the fact that we're not. So in reality, and this is actually the movie, but let's see. No, sorry. Yes. Yes, if you click on it. So we've been stuck. Yeah. So we've been stuck thinking. I think if you click on this, that we should know. Yeah. Well, why don't we actually try to use the 3D model in the field, you know, and see what's happened when people start engaging with it. And we actually did a lot of experiments in it and was extremely fascinating because it was changing the way we practice archaeology was changing the way we communicate in the field. And we actually did a lot of experiments changing formation each other and actually the in this case archaeologists were using the 3D GIS simulation for looking at how context where already removed gone two years before or the year before. That was extremely fascinating to see from actually an ethnological perspective, because you could see how it is really true that these techniques at the possibility of changing our practices. I mean, I'm not saying better, but certainly very different conclusions. We don't mention the fact that we have all the materials potentially available in the field something you don't have, because usually you have them when they're clean, dry, and actually archive. And you don't have all the specialists telling you exactly what is for but actually in this case, well, Zubrov talked about the vision, the digital village. And so, describe these revolutions in terms of saying, well, the excavation was a very isolated environment and it is all our environment like that research environments but now you can be in the middle of the desert, wherever and actually being connected with the world and send to a specialist the result of just excavated before removing them. This is indeed a very big revolution, I will say. Ha. So, this theory is now the digital part can definitely be applied to all aspect of scientific visualization, and in a much larger scale. So in 2014 Christian Christians and define what he calls the third science revolution in archaeology are science, and that archaeology aggressively but also created a huge demand in terms of interpretation. And this is actually the wheel that Christian Christians and as I was showing all the different aspects which are kind of big data. Specialist develop data approach within their subject, but unfortunately, we don't possess instruments to see this result properly contextualized in the current investigation. The main analysis, rich archaeologists usually the context is gone, and we as humans do not possess the capacity to handle such a huge amount of data in one vision. So in this respect, the possibility of visualizing all these different information in one space is invaluable. There's an interesting movie of Woody Allen. You know, whatever work, you know, we got to make all of this interpreting itself was a good movie, so this one is not him, but someone looking like him, and he's a genius. And it's very funny because at the very end, this is a spoiler course. So at the very end of the movie, someone asked the genius, what, what do you take to be a genius, and you know very seriously answer to get the grand picture. I mean, you need to have the grand picture to understand your data. And the grand picture is not given by the big data, but actually by the media, that's actually you use to approach your data. So and this I believe it's something deeply missing that we need really to investigate and develop more. So, now, what's happened when we take the virtual dimension in the field I'm actually going now to present some example, I would say, of our past works, and here I will need the movie again. Yeah. So this is just a look is an old case study that we develop, but it was particularly fascinating the fact that in the field, we could really I mean with the tablet in our hands to see every single building. And taking into account that this usually a situation can have around 150 archaeologists working in the fields one of the most famous excavation actually I would say, in the in the last. It's very, there are these buildings are new ethics, so we're talking about 6,000 years ago, and then, you know, every case, every content is removed and it's progress, and it's been identifying a number of levels. And the issue here is also this you can resist and even turn on and off everything, but, you know, this the stuff working here was one group, and they were not connected with the stuff working here. So at the end of the day, we could drag and drop all the model and having the grand picture and most important, we could see levels which were excavated in very different years, because you know excavation teams they go faster or slower depends on what they found you know the information is recorded in the separate boxes and this was not always the possibility to see them all together actually I would say almost impossible. So for us was really incredible to say wow we can and also the osteology system as well as these are all barriers, you know they could do their job in 3D georeferencing them all that then deposited them in the archive. And at the end of the day we just drag and drop and we see all this, you know, all the you the individuals, all the analysis, all the paintings, everything in one in one shop. So, but that's what it's a movie yes. I'm going to show this very many times, but I like this. It was a fantastic result for us. So 2015 I was there. And actually we're a team was excavating this building, the 131. And in archaeology is very granular. So about the wall usually characterized by two context, the bricks and the mortar, and then they make a feature. So they were removing this wall for progress and on the bottom it come out a big piece of clay with some small red opera. Now, this was sent to the conservation lab, and it come out a fantastic head. The one with obsidian highs really beautiful with several layers of conservation done at that time. And so the big question was, where it was, because it was no easy to find. I mean, yes, in the world, but the world is big, and it was already on the bottom. So it was particularly interesting because just using the 3D models georeferencing the GIS system it was possible actually to see all models and to find them. So it was for was recognizing one of the old models. And then what we did was we made a pretty high resolution model of the feature restore it after conservation and we realign the model. This was done on site interview. So that we need a system. So we could actually re identifying the sort of installation an area which was in a way not lost but not recognized because you know this commission is linear. And trust me this happened also on your experiments I despite your, your, your, you know your background. We always work we work in narratives. This is how we do the possibility of going back, see all the elements and actually rewriting these narratives. This is really great, because you really need to have elements for constructing it, and you're not anymore there because we write narratives, also, you know, with, with, with the moving to this narrative discussing with others and so on, the possibility of simulating the same. These individual environment, it gave us the possibility of really, in a way not going back in time certainly but to re identifying or reanalyze this context. Yes. This is also another fantastic case, which I enjoy very much, but they only have one slide of this because it doesn't be sufficient. Otherwise, it would be too long. This was in somebody body was is an archaeological site in the island of Iran, and I have to say the island because otherwise it's all under the complicated. And this was done in collaboration with the Carman County Museum, and this specific experiment was developed at that time with a land and so that she was a PhD students in our institution in historical knowledge at that time but now she's a researcher, a very successful research in the private commercial archaeology. So, but this was particularly interesting because there was unfortunately was some illegal metal detectorists that went there and they actually stole the identifying and stole fantastic. And so, let's do this and they ordered immediately, you know, an investigation of this and in 2013, you can not wrong, you know, they went with metal detector from the museum and they didn't go the golden route and materials, so they also opened a trench, which is, you know, there is more one meter for one meter and a half is the red you see the red individual there is basically was the size of the French and in this trench. surprisingly came out a human, an individual, was killed, and another part of another individual. So the bones were removed and broken loose for being studied. So the year after the Carmel County Museum opened a larger excavation which we were handed in by the joint, and it came out, of course, we were expecting the rest of the individual number two, and also artifacts, and the house. And what was particularly interesting in here was that this was only in 3D recorded. So at the very end of the day, drug and drop, the different elements, and then the, you know, the forensic reconstruction of the olive and reconstructed, we visualized. What was also particularly interesting is that Helen, she, usually the astrologists, they take all the, you know, the single bones, and then they make an analysis and understanding this is, you know, caused by this, and so it's very detailed. So we say, why don't we do this, not, you know, on writing in, on a white paper, as usual, but why don't we do it in a database. So we basically designed a database, modeled for a single disinformation. That was particularly interesting because, you know, she could, for example, run a lot of analysis and understanding, also, for example, show me all the fracture occurring, these more. So, and actually to the question show us all the fracturing post mortem, meaning when actually the body were already there, it came out very parallel pattern. So which we thought was probably the roof of the house collapsing on the bodies and cracking them. So for us was particularly interesting because engaging in the individual dimension showed that you can definitely identify information which are not visible in the real, you know, in the real space, but even not in the digital space. So again, as much will say, it is actually across these two dimension things that also in your life. Really, I mean, how much of your business is built across digital and non digital nowadays. So why should be different within our research. In fact, it isn't. So my point is the, the more the quickest way we engage within the better. And this is actually the work of one of our students in collaboration with Miguel Lashon and me, John Howard, he actually start also to visualizing actually bottoming within the 3D GIS. And it's also very interesting because actually bottoming doesn't have a spatial position. So usually you get a sample, right in a larger context. So you don't have it. It's not like an architect that you know what it is. And this is the area of the oven. And it was a fantastic very interesting work because he's at this also is already yeah. And he basically start visualizing the the work of me and Lashon in his acrobat analysis directly on the content something that usually we don't do we do in a bidimensional way and it's not really so clear. And it was extremely interesting to see how the different factors of different sample different type of seeds and materials were actually showing in a way the activities of the movements or the complexity of the site. So long ago we also had we really from 2015 and 17 we had the possibility the opportunity of being awarded with an essence exactly an essence project and we need I think something that is still used today so I'm extremely proud of that. So when you want to understand how it would be super computing for computing Lash dataset went out in the field and this is always you see it comes from really the needs of we need this data now in the field we know where to go back in the process and because we lose a lot of information. So it's always on this relation between digital and physical or field and not in the field or the digital in the field. So we start engaging a lot also with drones because that was an important component in our work today we collaborate a lot with aviation room the university aviation school we have a lot of projects with them and it's extremely interesting especially considering the sort of sensors that you can actually have nowadays. But we also start looking at classification. So this is also extremely interesting it's not just a question of engaging across dimensions it's also engaging with who certainly not just with humans or researchers actually computers give you interesting feedback and really agents in many senses and can can affect your interpretation quite a lot. So yes this we we had the U of V at the new collaboration project but I want to show you something more recent. Yeah you see and nowadays this suddenly from day to night we had access to lighter data from all Sweden. This was actually a few years ago but what does this mean? Basically the entire Sweden is mapped in 3D in a kind of fairly good resolution from the north to the south. So Sweden is covered for 83% of the land from forest and a lot of archaeological sites are actually under forest and there's no chance of really identifying and it's also dangerous in a way because you know forest industry is a big map in Sweden so let's see this and protecting this it's a lot of things. The lighter data allow actually you to with just one software to remove entirely the forest and see what is under forest and the lighter data you're seeing here has only four points for square meters and only 20% of these points are actually visible under forest. Today we have lighter on draws we have been flying just you know last spring which take one point every five centimeters. So just to give you an idea of the resolution. Still with this resolution we still have kind of incredible results. We thought okay this resolution show us a lot of new archaeological information. How do I recognize them? Actually I can tell you if I would have 100 colleagues they came to take inch by inch Sweden and see under forest and recognize these things we would fail. It's too much. It's really too much because we need to recognize them and then go and work and see. So there is no possibility of really understanding by ourselves as humans analyzing what we're saying. So then what we did was through LMK and crack where we received four actually training and deep learning actually so for actually I posted up and she developed this unit the deep learning for automatically recognizing these features for us but it was not just a classification because the algorithm learn from your feedback so we have to tag a lot of images and then when the algorithm was telling us look this is actually what I thought we have to work and say yes and no we informed the algorithm. The algorithm was better and better and better and so the idea was to create and we did it by creating a network or a system which could start from a small portion you know learning and then analyzing very entire datasets. This was very successful because we could actually verify this also for another reason. You need to know that Sweden is always a sort of web GIS accessible for everyone and you it's called a food sock which I'm sure I just which is informing you about the location of all the archaeological sites in Sweden. So you can actually go there and see and then there are also investigation diaries you know you can really have an understanding of what and but there are a lot of black spots where there is nothing. So our experiments say well you know let's use the algorithm in this area and let's see you know if recognize the same things which are recognized in which are already visible in food sock but also let's see if something is recognized in a language food sock doesn't say anything and consider that if food sock doesn't say anything it doesn't mean that there is nothing simply means that no archaeologist passed it. This was an area where completely blind for food sock so and this was a huge amount of sites who went field working there we recognized them most of them were correct they were incorrect yeah we actually gave the information to the algorithm in order to get better and better and oh sorry it was a spoiler but yeah and actually I can tell you that you know what is the next problem and it's fantastic because we're really engaging with machine control people it's surveying once they know where they are how do I verify because you know you need to have someone going there and verifying it so now we just admit an application it wasn't with the two colleagues from machine control and the idea was actually to see if we can get them from autonomous systems robots to go and assess this because you know we have robots like spot the dog with sensors liners and many other sensors and understanding I know but otherwise we'll do this thing right not us right so but is to understand if actually we can use the autonomous system for verifying this and we believe that this actually can have exceptional impact in many ways of course this doesn't take us out of the pictures we are always there and we are always the last assessing the data but trust me there is no chance otherwise to control and check all these data it's too much so part of these research is published which is recently published many of these research in this book and it's open access of course so if you are interested you can download and read more about some of the experiments but before this is just half of it yeah I want also to discuss and address another another question how do we archive this data now we think to the archiving part in a very old style don't wait so it's like it's a boring part now I need to put these things available around but in reality actually is is the next opportunity is the closest thing in the archiving is not anymore the last part of the process actually is the beginning because we use so much archive data so the idea of creating or investigating archives that allow us to do research is fundamental for progressing research is the only chance probably we have as humans slow humans as as as you know to actually catch up with all this and I wanted to bring you in another place now looking at our information and for example physical archives are organized we can't miss not seeing that space and records are part of the same design and often reflect physical representation the so-called memory policies of the lush everything was designed to let the user leave the world experience retrieve read compare and most importantly enjoy the records because knowledge production is a process in which all these aspects and even more are included so libraries archives and collection are incubators of knowledge in which objects that embody different meanings in different words are actually available how do we bring this multi-dimensionality or multi-operability into a virtual world what are the challenging guide of us so we need to start considering virtual data at the same level of physical data and where do we start so I think archaeology in this case is an excellent example about 3d models and space we can learn a lot from past experience and an interesting example of these can be identified in the plaster test that was a very diffused practice for generation for generating collections those were replicas twins just copies however we should not forget that it is through these copies that many archaeologists build their knowledge despite being considered children of a lesser god those artifacts had an original impact on our formation and nowadays those possess unique identification numbers are preserved and are subject to the same regulation as their original so despite being copies these records were constantly reused and because of their function they quickly found the same location in the museums archives and collections so how do we trigger a similar process for our digital archives and collections because it's crucial I mean we can not just think to an archive as a parking lot or actually you pay the data there and that's done it's completely different we need to see how this impact our knowledge do they have an impact because it's so expensive actually to write metadata to save this data so do we need to save it all or not or part of it well let's actually look first how it impact our life and now actually what are the potential of impacting our life and I think that COVID was actually my opener a nice opener it is the last case has been characterized by considerable investment worldwide to establish data platform to promote large-scale research and innovation in the cultural relations sector and not just in the cultural editing sector although very useful these platforms were never designed to support a deep interaction with the digital materials nor to promote any specific new research approach this limits became actually evident during the pandemic in which suddenly digital collection were no longer just reference sources but the only available sources for carrying out research so the situation underlined the urgent need to research strategies for the for the definition of digital collection as a primary tools for undertaking research and for fully supporting scholars operating in the digital space so that's why I say it was a was an eye opener because it mainly made clear the fact that's a lot of investment which we did with tax money in Europe were actually mainly for letting us telling us where the things were rather than for engaging with these things was a very I want to take that as a scam or fismo practice karma is part of the process of course but I mean these were also a lot of money right so we need definitely now I think to move on and to understand how actually to make this collection you know as a as a as a as a central part of our research rather than for cherries and then oops that was actually one slide too much yes recently at the department we started small project in collaboration with the groups of colleagues from the from the department of archaeology and city history and also in collaboration with the london history skamos here and london university history skamos here and we started this was actually just before pandemic we start 3d scanning with our resolution sorry we we start 3d scanning artifacts from the reference for that we want to understand okay what can we do with the 3d art it goes at the moment you can see a lot of 3d models what you can do rotate them in the net it's interesting for three five seconds and then what the question is you know the wall effect get very very much you know exhausted immediately so we thought no we need actually to add an archive but also a tools which is going to make you know to promote this deep interaction and actually then it came covered and it was interesting to see how very skeptical also or you know less interested i would say people on that they start being extremely interesting because suddenly that was the only way for them to have access to a very good collection of artifacts with all tools for measuring collecting and show you a lot of things that can be done you know lond but also Stockholm sadly also many other universities start actually using it and we could check on the on the on the server statistics on how much this was used was completely open access and but was not really looking at the model he allowed to retrieve a lot of information from those and also extract information and also annotating your thoughts because you should not forget that we progressed by climbing giant shoulders or at least to see you know to start from from where actually the another researcher stopped so we start actually thinking to all this and for example yeah this is available online actually you can access from your computer if you like but you can make sections you can measure every single angle and also we thought something i think quite important was yeah you see very often it's all about extracting information right you know the difference between economic so what is actually the objective data but we don't make research only on objective things we make research taking these objective things and discussing it with each other that's how we do so it's not just us so what we thought was good to do was actually creating on the web page so this is online you don't need to store any software anything you just go there and use the models there are now 420 from three different swedish museums and are increasing because we've got companies for the next five years to do that you can annotate all your notes or your ideas so you have an activity start brainstorming then you know you can measure it but also annotate all the measurement here but then you can create an animation so you place the artifacts in different place you click on this button you annotate and basically when you finish you click this button and you see the animation of the artifacts according with your thoughts so it's creating a narrative is helping the reader or yourself to understand how did you reach that conclusion and that's also allow to pinpoint specific areas in which a sample has been taken for example you have an artifacts and you have chemical samples from conservation or other type of samples and then you can technically create different samples annotated colors sites and then the description of it so and what is particularly interesting of this and at the end of it because you know we also have uh uh we also have uh an idea of intellectual properties things yeah so we don't all this is done on your computers through our server but none of this is downloaded on our server so once you finish your job you just export you get a JSON file and then you send it to who you want to yourself to other people you send it to your students they just download it they go on the dynamic collection and they load it and on their computer they see all your thoughts so but never pass through our server so we only provide basically the tool for constructing knowledge and of course now our feature also because you can also create collection with artifacts which are stored in different in different places it's very interesting and I think this is a a movie and giving the possibility to other researchers to engage not with just with their perspective but also with your perspective because they will read what you wrote but that'd be your annotation we can store them if we get the permission from the users so you can of course manipulate the lights now this is things which are invisible now we actually enter a new page and for now we enter a tool it's pretty nice because it gives you the sites and calculated the volume not the volume of the object but the volume of a block so you can immediately understand from the net you can actually use a city scan or what kind of instruments can actually you can you can this could be incorporated so it's also it's a logistic practical thing in this case you can actually oops it's probably restarted you can also create your collection saving it annotating it and sending to whatever you want and of course there is a there is a there is also a reference on the bottom and also another article from co-authored with other colleagues which you will find Echengren as a first first author and that's very dark this is the vr national infrastructure in digital archaeology we we have we've got six years financing from vr and there are several universities it's led by Uppsala then there is Lund, Oomeo, Stockholm, there is Riksonti Gorenmetet, there is Karlstad, I hope you're the bully so it's a large network I hope I haven't forgotten anyone but please I invite you all to see the website just to be sure that's you know to get all the information and we coordinate the module on the future of digital archaeology so we basically in Lund we are in charge of coordinating all the all the new technology, better understanding, coordinated abilities which are meant to better understand the impact of this new technology within archaeological practice and thank you very much