 Colleagues, this presentation will take exactly seven minutes, no longer. Ter and Morsana is a collaboration between municipalities, universities, museums, heritage sites and citizens. Cities involved are, for instance, Liège, Aachen, Jülich, Hele, Tongre and Maastricht. All cities in the direct surroundings. And the University of Liège has the lead in this project. The goal is to do research and to explain the common history and the shared identity of some major cities of the Euridio-Muse Rhine. The Euridio-Muse Rhine is situated in the border area of the Netherlands, Belgium and Germany. And you are, at this moment, at the heart of it. In which three languages are spoken, being spoken, and a variety of dialects. Ter and Morsana will construct and write new storylines, make 3D scans of existing remains, that is, archaeological remains, churches and town halls. Ter and Morsana will reconstruct models by combining new storylines and freshly made 3D scans. It will compose films, exhibitions, make augmented and virtual reality products and also do research on ethics, user rights, techniques, sustainable storage and future use. The focus on this short presentation will be how will Ter and Morsana come to write new storylines? Ter and Morsana will focus on the connections, on the relationships and the interdependencies between cities. And we will use the historical 3D matrix model. Ter and Morsana will use a framework based on research and a network based on knowledge and personal involvement. This is a picture of the historical 3D matrix model which I've developed and which you are not able to read. But that's okay and I will explain. I call this a model because it is based on an approach, a way of thinking and is not a fill-in form. It's very simple but very effective. In this matrix three X's are present. The first X is geographically based. For instance, cities as Maastricht, Achillege and Tongra are summed up. The second X is chronologically based and divided into historical distinctive periods. The third X and the third dimension is theme-based. For instance, geomorphology, economy, politics, society or language. Each cell requires selected information and at the end of the line the interdependencies and conclusions are being summed up. By using this model it is important to let go of the usual conventions, use proven facts and figures only and let new insights emerge. The principle of the model are use not as much information as possible and today we are talking about data, big data and even more data. But now it is usable to use not as much information as possible but as little as possible. Be selective. Select your information on specificness and distinctiveness. Think about what is really distinctive and leave the rest of the information for the moment. And then focus and describe the interconnectivity, the relationships and the complementarity amongst places and themes in time and based on these distinctiveness. Using this approach try to describe firstly what are the distinctive features for Maastricht in for instance Roman times based on for instance trade. Start with a long list and then create a short list of what is really distinctive. Be selective. And what are those of Hele, Ache and Liège? The first result cell then will show the composed distinctive features of the Eurydio in Roman times on trade or any other aspect you chose. Secondly, now that we have the Roman result then describe what are the distinctive features in Maurevingian times, in Kerylingian times, in late medieval times etc. The second result cell will show the composed distinctive features of the whole Eurydio on trade, infrastructure etc. through time. And then thirdly the third result cell describes when all the cells are completed the shared history and the common identity of the Eurydio in its completeness based on the selective and distinctive elements. Using this model following aspects have to be stressed. Really focused on distinctiveness through time the specific historical identity of each city will appear. By reducing information the picture becomes clearer instead of blurred by an overdose of information. After reconstructing the reduced information and its conclusions and consequences should be checked and checked again especially with the omitted information. I would like to give one example. Several books have been written on the Roman city of Maastricht with its roads, graves, a sanctuary, a bridge, a thermal based in complex houses, fortifications, sculpture fragments and many many finds. But Maastricht was not a Roman city, it was a small Roman settlement with a special function. In fact Maastricht can best be described when approached using the historical 3D matrix model as a settlement with only one distinctive feature and that is the combination of a road and a bridge. And one specific function and it was that Maastricht served as a harbour or port for Tongere to the west and Ache and Heale to the east. Further information is unnecessary for this analysis and blurse of view. This concise role description helps us to investigate how the settlement functioned within the economical and transport network in the Eurigio and brings lots of research questions. I've tested this approach on for instance the 4th century late Roman Castellum of Maastricht and its functions, it helps us to understand. More examples are available but cannot be presented in the short presentation. I would like to mention on the Merovingian period, graves, saints and minting On early Christianity, Saint-Savage is of Tongere, Lambertus of Maastricht and the moving of the bishops seas between those cities. And on the industrialization of the Eurigio-Muse Rhine, the relationships between Liège, Ache Stolberg, Maastricht and Vervier. Dear colleagues, what's next? I hope I explained in short the way in which Taro-Mozana will bring new storylines which will be combined with new 3D scans, new 3D reconstructions and new 3D models. Taro-Mozana will newly describe the relationships between the archaeological remains and the historical sources, cities and settlements. What is necessary to achieve these expected results? Discipline and selection and above all distinctiveness. Reduction of information is not easy and always disputable. But we need discipline, we need a whip. Intense collaboration is needed with the surrounding areas and cities. We need their knowledge and their data. And an open mind is needed but also a warning and that is what we learned today. Every selection is a form of interpretation and a step away of our primary data. Dear colleagues, thank you for your attention.