The Time Machine FET Flagship builds a Large Scale Simulator mapping 2000 years of European History, transforming kilometres of archives and large collections from museums into a digital information system. These Big Data of the Past are common resources for the future that will have a huge cultural, economical and societal impact. Researchers from all over the world are now joining forces to bring the past back in one of the most ambitious project ever on European culture and identity.
Cultural Heritage is one of Europe’s most precious political, economic and social assets. Today, Science and Technology can profoundly transform the conservation and experience of the cultural heritage with an impact on research, education, new applications and, in turn, on the economy and society at large. Computer and Data Sciences, Physics and Chemistry, Material Sciences and Robotics, can join forces with the Humanities to open a new paradigm for Historical Sciences.
The Time Machine FET Flagship aims at building a Large Scale Historical Simulator mapping 2000 years of European History. Extending on the proposal submitted to the attention of the European Commission in April 2016, Time Machine is a program that brings together research teams from all over Europe and the participation of about 200 institutions. The goal of this consortium is to develop new technologies for the scanning, analyzing, accessing, preserving and communicating of cultural heritage at a massive scale. Data extracted from this digital patrimony are the basis for the reconstruction of the historical evolution of most European cities and the economical, cultural and migration networks between these urban nodes.
This is something of complexity and scale unseen to date. To obtain the necessary data for such a reconstruction, Time Machine has to develop new technologies for a scanning infrastructure able to digitize massive amounts of fragile documents from the European heritage that would be the basis of the largest database ever created for European archival documents. Meanwhile, high performance computing clusters are used to process this mass of documents using increasingly accurate machine vision algorithms, segmenting, indexing and transcribing their content, ultimately making them searchable like any other documents we search on the web. The information networks extracted from the documents constitute a massive semantic graph of linked data – probably the largest ever built about the past - unfolding in space and time as part of an historical geographical information system.
These Big Data of the Past are expected to lead to data-driven historical simulations, making the past de facto as easily accessible as the present. New families of historical search engines, as well as immersive and augmented reality interfaces and other tools, will generate what one could describe as time capsules to seamlessly navigate 2000 years of European history. Thousands of time travellers are already ready to engage in the project, for curating the data, design algorithms and ultimately, to a certain extent, writing a common history of Europe. That approach in turn could apply to other cities, communities and regions of the world.
Time Machine is anchored in the technologies and methodologies pioneered by the Venice Time Machine, an on-going 10-year seed project focusing on the city of Venice and its 1000 years of history and featuring EPFL, Università Ca’ Foscari, Archivio di Stato di Venezia, Fondazione Giorgio Cini, as well as an international board including scholars from Princeton, Stanford, Columbia and London Universities. Venice Time Machine provides a proof of concept of archival digitization and machine learning to reconstruct the shape of the city over its history, along with the evolution of its continental and Mediterranean Venetian networks over time. The project maps circulation of news, money, commercial goods, as well as migration of artistic patterns along the roads from Venice to the Netherlands and Germany or down to ports of the Black sea, reconstructing, through the history of Venice, a united story of the construction of Europe. Time Machine is a spatial and temporal extension of this ambition, the potential of which the Venice chapter already highlights.
All technological development of the Time Machine FET Flagship are open source, in line with the notion of a shared patrimony and cost effectiveness for other institutions in following the same methodologies and encouraging the creation of start-up and services based on similar approaches and standards. That can lead to local initiatives for fostering tourism, cultural entertainment services and new approaches to urban planning.
We believe Time Machine and the projects it will generate represent a unique opportunity to take Europe’s cultural heritage to the future, enhanced as a shared patrimony and a common history, for the next generations.
The Time Machine FET Flagship is committed to valorise the Europeana integrated catalog and collections, as the basis for higher level data models. At the technical level, Time Machine will help the national aggregators and partners to leapfrog to new technological standard for cultural heritage storing, display and analysis, facilitating the access and enrichment of Europeana’s 53 millions cultural documents.
The Time Machine FET Flagship receives the support of DARIAH, the pan-european research infrastructure for the Arts and the Humanities, regrouping several hundreds of scholars and dozens of research facilities. DARIAH’s working groups covering topics ranging from Text and Data analytics to Guidelines and Standards are already playing a crucial role for organising the technological and scientific discussion addressed in the Flagship and will be key to structure their on going development at the European level.
The Time Machine FET Flagship is supported by the ICARUS network, regrouping 160 archives and scientific institutions from 30 European countries. This continuously expanding network of coordinated institutions brings to the project the access to extremely large collection of documents and the access to relavant expertise to interpret them. Time Machines shares equally with all these institutions the technological innovations and infrastructure developed in the Flagship.
The Time Machine FET Flagship is supported by the READ H2020 project, a multidisciplinary consortium of 13 partners working in Computer Science, Pattern Recognition, Machine Learning, Image Processing and Humanities. The project boosts the development and usage of cutting edge technology for the automated recognition, transcription, indexing and enrichment of handwritten archival documents and develops a collaborative platform for this purpose.
Time Machine promotes the use of the IIIF APIs, guidelines and best practices. It encourages partners to share their cultural heritage data using these open standards and to develop new services in this framework. Time Machine also organises the development of higher level services based on the IIIF standards including handwritten word recognition, image matching, document analysis, complex annotations and more and explores the extension of the IIIF approach to other kind of services, beyond image delivery. This could include services for music, video, 3d, maps, biography, genealogy, and so forth.
The Consortium of European Research Libraries is partner of the Time Machine Project. It includes 300 European libraries (and a growing number of US libraries with substantial European book heritage) and run the Heritage of the Printed Book database, with over 6 million records of books printed between 1450 and 1830.
Time Machine collaborates with 15cBOOKTRADE to help retracing the history of 450 000 copies of incunabula, currently located in about 4000 different public libraries. The circulation of these books will be informed by the other historical reconstructions and circulation maps developped by the Time Machine’s partners.
Time Machine collaborates with Fragmentarium, the International Digital Research Lab for Medieval Manuscript Fragments. Collaborating with 15 partner institutions throughout Europe and the USA, the project aims, over the next years, to lay the foundations for research on medieval manuscript fragments by providing open standards and guidelines.
Time Machine works with CLARIAH, the Common Lab Research Infrastructure for the Arts and Humanities, to define sustainable strategies for accessing, processing, preserving and exploiting digital data for humanities scholars.
Time Machine collaborates closely with the Golden Agent project, which goal is to disclose existing and new datasets on the production of the creative industries of the Dutch Golden Age by combining linked open data and multi-agent technology. The project will make 2 millions scans available of notarial acts/probate inventories in the City Archives of Amsterdam providing this way insight in the consumption of cultural goods of the 17th Century of Amsterdam.
Time Machine collaborates also with the CREATE Program of the University of Amsterdam. This program volunteered to develop an Amsterdam Time Machine, based on the Venetian experience, exploiting the wealth of data and knowledge present within the Amsterdam context.
Time Machine collaborates with the European Research Infrastructure for Heritage Science (E-RIHS). This pan-European project aims to support research on heritage interpretation, preservation, documentation and management. The project will provide state-of-the-art tools and services to interdisciplinary research communities that advance understanding and preservation of global heritage.
Time Machine collaborates with the European Association for Urban History (EAUH). EAUH was established in 1989 with support from the European Union. Its goal is to provide a multidisciplinary forum for historians, geographers, sociologists, anthropologists, art and architectural historians, planners and other scholars working on various aspects of urban history from the middle ages until the present. The EAUH supports the FET Time Machine Flagship because it will be an excellent opportunity to make big data available and accessible for the reconstruction of the historical development of European cities in relation to economic growth, cultural diversity and migration networks. These topics are highly relevant to the scientific network and the conferences of the EAUH.
Susan Schreibman,Director of An Foras Feasa, Maynooth University
Raffaele Santoro,Director of Venice State Archives
Pasquale Gagliardi,Secretary-General of Cini Foundation
Dorit Raines and Simon Levis Sullam,Historians, University Ca’Foscari
Bernard Aikema,University of Verona
Antonella Ambrosio,Università degli Studi di Napoli “Federico II”
Mirko Degli Esposti,Prorettore Vicario, Università di Bologna
Luca Pezzati,Coordinator, E-RIHS
Antoine Isaac,R&D Manager, Europeana
Bert de Vries,Director of Amsterdam City Archives
Julia Noordegraaf,Director Amsterdam Center for Cultural Heritage and Identify and Project leader Creative Amsterdam
Charles van den Heuvel,Head of Department History of Science and Scholarship, Huygens ING, University of Amsterdam, Principal Investigator in Golden Agents
Toine Pieters,Freudenthal Institute, Utrecht University
Dorota Urbanek,Digital Humanities Laboratory, University of Warsaw
Jan Rybicki,Institute of Modern Languages, Pedagogical University of Kraków
Jakub Szprot,National Coordinator of DARIAH-PL
Cezary Mazurek,Poznan Supercomputing and Networking Center
Adam Pawłowski,Wrocław University
Marcin Werla,PIONIER, Digital Libraries Federation
Juraj Sedivy,Faculty of Arts, Comenius University in Bratislava
Josep Roca,Virtual City Modeling Lab, Technical University of Catalonia
Elena González-Blanco García,LINHD, Facultad de Filología, UNED
Gonzalo Pontón & Ramón Valdés,PROLOPE Research Group, Universitat Autònoma de Barcelona
Andreas Kellerhals,Director, Swiss Federal Archives
Marie-Christine Doffey,Director, Swiss National Library
Frederic Kaplan and Isabella di Lenardo,Digital Humanities Lab, EPFL, Swiss Federal Institute of Technology
Thomas Haensli,Head Digital Art History, ETH Zurich, Swiss Federal Institute of Technology
Christophe Flueler,Fragmentarium, Universität Freiburg
Martin Volk,Institut für Computerlinguistik, Universität Zürich
Alain Dubois,Cantonal Archivist, Canton of Valais State Archives
Gilbert Coutaz,Director, Canton of Vaud State Archives
Pierre Flückiger,State archivist, Canton of Geneva State Archives
Laurent Niggeler,Director and Cantonal Land Surveyor, Republic and Canton of Geneva
Lionel Pernet,Director, Cantonal Archeology and History Museum of Lausanne
Tristan Weddigen,Bibliotheca Hertziana, Roma / University of Zurich / Swiss Art Research Infrastructure (SARI)
Philip Schofield,Director of the Bentham Project, University College London
Filippo de Vivo,Birkbeck University of London
Cristina Dondi,University of Oxford
Rob Sanderson,IIIF Consortium and Getty
Scott B. Weingart,Carnegie Mellon University