Summary
Europe urgently needs to restore and intensify its engagement with its past. Time Machine will give Europe the technology to strengthen its identity against globalisation, populism and increased social exclusion, by turning its history and cultural heritage into a living resource for co-creating its future.
The Large Scale Research Initiative (LSRI) will develop a large-scale digitisation and computing infrastructure mapping millennia of European historical and geographical evolution, transforming kilometres of archives, large collections from museums and libraries, and geohistorical datasets into a distributed digital information system. To succeed, a series of fundamental breakthroughs are targeted in Artificial Intelligence and ICT, making Europe the leader in the extraction and analysis of Big Data of the Past. Time Machine will drive Social Sciences and Humanities toward larger problems, allowing new interpretative models to be built on a superior scale. It will bring a new era of open access to sources, where past and on-going research are open science. This constant flux of knowledge will have a profound effect on education, encouraging reflection on long trends and sharpening critical thinking, and will act as an economic motor for new professions, services and products, impacting key sectors of European economy, including ICT, creative industries and tourism, the development of Smart Cities and land use.
The CSA will develop a full LSRI proposal around the Time Machine vision. Detailed roadmaps will be prepared, organised around science and technology, operational principles and infrastructure, exploitation avenues and framework conditions. A dissemination programme aims to further strengthen the rapidly growing ecosystem, currently counting 95 research institutions, most prestigious European cultural heritage associations, large enterprises and innovative SMEs, influential business and civil society associations, and international and national institutional bodies.
The Large Scale Research Initiative (LSRI) will develop a large-scale digitisation and computing infrastructure mapping millennia of European historical and geographical evolution, transforming kilometres of archives, large collections from museums and libraries, and geohistorical datasets into a distributed digital information system. To succeed, a series of fundamental breakthroughs are targeted in Artificial Intelligence and ICT, making Europe the leader in the extraction and analysis of Big Data of the Past. Time Machine will drive Social Sciences and Humanities toward larger problems, allowing new interpretative models to be built on a superior scale. It will bring a new era of open access to sources, where past and on-going research are open science. This constant flux of knowledge will have a profound effect on education, encouraging reflection on long trends and sharpening critical thinking, and will act as an economic motor for new professions, services and products, impacting key sectors of European economy, including ICT, creative industries and tourism, the development of Smart Cities and land use.
The CSA will develop a full LSRI proposal around the Time Machine vision. Detailed roadmaps will be prepared, organised around science and technology, operational principles and infrastructure, exploitation avenues and framework conditions. A dissemination programme aims to further strengthen the rapidly growing ecosystem, currently counting 95 research institutions, most prestigious European cultural heritage associations, large enterprises and innovative SMEs, influential business and civil society associations, and international and national institutional bodies.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/820323 |
| Start date: | 01-03-2019 |
| End date: | 29-02-2020 |
| Total budget - Public funding: | 1 215 578,79 Euro - 997 930,00 Euro |
Cordis data
Original description
Europe urgently needs to restore and intensify its engagement with its past. Time Machine will give Europe the technology to strengthen its identity against globalisation, populism and increased social exclusion, by turning its history and cultural heritage into a living resource for co-creating its future.The Large Scale Research Initiative (LSRI) will develop a large-scale digitisation and computing infrastructure mapping millennia of European historical and geographical evolution, transforming kilometres of archives, large collections from museums and libraries, and geohistorical datasets into a distributed digital information system. To succeed, a series of fundamental breakthroughs are targeted in Artificial Intelligence and ICT, making Europe the leader in the extraction and analysis of Big Data of the Past. Time Machine will drive Social Sciences and Humanities toward larger problems, allowing new interpretative models to be built on a superior scale. It will bring a new era of open access to sources, where past and on-going research are open science. This constant flux of knowledge will have a profound effect on education, encouraging reflection on long trends and sharpening critical thinking, and will act as an economic motor for new professions, services and products, impacting key sectors of European economy, including ICT, creative industries and tourism, the development of Smart Cities and land use.
The CSA will develop a full LSRI proposal around the Time Machine vision. Detailed roadmaps will be prepared, organised around science and technology, operational principles and infrastructure, exploitation avenues and framework conditions. A dissemination programme aims to further strengthen the rapidly growing ecosystem, currently counting 95 research institutions, most prestigious European cultural heritage associations, large enterprises and innovative SMEs, influential business and civil society associations, and international and national institutional bodies.
Status
CLOSEDCall topic
FETFLAG-01-2018Update Date
27-04-2024
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Organisations
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| ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL) (Coördinator)
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| ALMA MATER STUDIORUM-UNIVERSITA DI BOLOGNA
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| BAR ILAN UNIVERSITY
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| CENTRE DE VISIO PER COMPUTADOR
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| CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS)
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| ECOLE NATIONALE DES CHARTES
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| FIZ KARLSRUHE - LEIBNIZ-INSTITUT FUR INFORMATIONSINFRASTRUKTUR GMBH
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| FRIEDRICH-ALEXANDER-UNIVERSITAT ERLANGEN NURNBERG
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| Ghent University
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| ICONEM
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| INDRA
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| INDRA SOLUCIONES TECNOLOGIAS DE LA INFORMACION SL
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| INSTITUT NATIONAL DE L'INFORMATION GEOGRAPHIQUE ET FORESTIERE
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| INSTYTUT CHEMII BIOORGANICZNEJ POLSKIEJ AKADEMII NAUK