Here you can find events organised to further the ATM, such as monthly open datasprints, for which you can sign up through the contact page. We also show other events where the ATM is present.
Thu04Mar202115:00 - 17:00Online
On March 4th, 2021 the Amsterdam Time Machine hosted the ‘Dutch Time Machines workshop’: an online event to share updates from, and foster exchanges among Local Time Machines (LTMs) in the Netherlands. LTM projects are one of the main pillars of Time Machine’s ambition to develop the Big Data of the Past: a huge distributed digital information system mapping the European social, cultural and geographical evolution across times.
The workshop included presentations from projects in Amsterdam (Amsterdam Monumentenstad; Waterlooplein 3D; Virtual Interiors), Leiden (Canals5D Leiden), Utrecht (Living Pasts, Utrecht Time Machine), Limburg (Aezel, Limburg Time Machine), and Breda (Virtueel Princenhage).
The event was chaired by Julia Noordegraaf, moderated by Melvin Wevers, and organized by Ilaria Manzini (Amsterdam Time Machine | University of Amsterdam).
Thu12Mar202011:00 am - 4:00 pmE-lab Room 0.16 (Turfdraagsterpad 9, 1012XT, Amsterdam)
On Thursday 12t March the Amsterdam Time Machine / Golden Agents will organize a datasprint around the datasets ECARTICO and ONSTAGE. These data sets have been developed at the University of Amsterdam and made available as Linked Open Data as part of the Golden Agents program.
For those unfamiliar with these data sets: ECARTICO contains biographical data about painters, engravers, publishers, goldsmiths, writers and other creative people working in the Low Countries in the sixteenth and seventeenth centuries and about the people in their networks. The dataset now contains data on more than 50,000 persons. ONSTAGE contains the complete performance history in the Amsterdamse Schouwburg from 1638 to 1940 (and soon: until the present).
Both ONSTAGE and ECARTICO provide extensive links to Wikidata (a database connected to Wikipedia), the DBNL (Digital library of Dutch literature), the RKD (Dutch Institute for Art History) and other resources. The idea behind Linked Open Data is that you can connect different data sets over the Web. During this datasprint we will show how this can be done. Afterwards we will investigate in smaller workshops what the added value is for historical research. For this purpose we have four workshops in mind:
Workshop 1: ONSTAGE, ECARTICO and the Panpoeticon Batavûm.
The Panpoeticon Batavûm is a collection of small portraits of Dutch poets (and writers in general). The collection was set up at the beginning of the eighteenth century by the painter Arnoud Halen (1673-1732). As a collection the Panpoeticon is no longer intact, but fortunately researchers at Radboud University have made a beautiful digital reconstruction (www.schrijverskabinet.nl). By connecting this digital Panpoeticon to the datasets mentioned above, we can start asking questions such as ‘To what extent were the authors of popular pieces in the Amsterdam Theatre included in the Panpoeticon?’ and ‘What was the geographical distribution of the poets included in the Panpoeticon?
Workshop 2: ECARTICO, Wikidata and Wikipedia.
ECARTICO provides extensive links to Wikidata. In this workshop we want to investigate the added value of these links and whether we can increase the mutual interlinkage of the datasets. Because Wikidata also serves as an international portal to Wikipedia, We can for instance think of using features of Wikipedia entries (e.g. word counts, number of images, number of language editions) as proxy values for analyzing geographical biases and canonization effects or simply as a proxy for the 21st century esteem of persons and objects under consideration.
Workshop 3: Geographies and networks of style and subject matter.
Links to the RKD and Wikidata enable us to harvest large amounts of data (including images) on works of art. In theory this provides us with an opportunity to create huge geographies and social networks of style and subject matter. In this workshop we will explore the practical feasibility of such an operation and discuss its theoretical and methodological implications.
Workshop 4: Enhanced publications
In this workshop we will explore the potantial of Linked Data to create enhanced publications. As a use case we will take the ‘Groote schouburgh der Nederlantsche konstschilders en schilderessen’ by Arnold Houbraken. This book provides an overview of Netherlandish painters of the sixteenth and seventeenth century. It was originally published in 1718/1721 and is now digitally available at the DBNL. However, the biographies provided by Houbraken are not illustrated and are often erroneous since Houbraken had a greater fondness for anecdote than for accuracy. Linked data sets allow us to create a single
Wed11Dec201910-17UvA eLab Mediastudies
On Wednesday 11 December (10-17, eLab Mediastudies UvA) we are organising a datasprint on ATM person data. Now that we’re making progress with the geo-infrastructure, we’re developing an approach to collectively identify and analyse Amsterdam people from a long-term perspective. Ivan and Leon have started a shared sheet that helps us see where we are now and what we need to do get to comprehensive person-time-location data, also based on work already done by Richard, Ivo and other colleagues. More information can be found in a google doc that can be shared upon request. For the datasprint we’ll be developing several concrete tasks that we’ll also share in this document. Please sign up by sending an email through the contact form on this website if you’d like to come!
Dinsdag 26 november, de dinsdag in de Week van Digitaal Erfgoed, vond de netwerkbijeenkomst plaats waarbij erfgoed- en onderzoekswereld samenkomen: waar zien we gedeelde belangen, principes en doelgroepen? Waar kunnen de netwerken elkaar versterken? Zien we kansen om verbindingen te leggen tussen erfgoed en wetenschap?
ATM's Claartje Rasterhoff en Pauline van den Heuvel presenteerden samen de (spanning in) samenwerking erfgoedinstellingen en wetenschap.
Zie voor de slides en meer informatie: https://www.lcrdm.nl/wetenschap-ontmoet-erfgoed.
The Time Machine Conference 2019 will take place on October 10-11, 2019 at Deutsches Hygiene-Museum Dresden in Dresden, Germany, and of course ATM will also be there.
Register here to hear speakers from Europe’s most prestigious science, technology and cultural institutions discuss the potential of cultural heritage data for education, creative and media industries, entertainment, urban planning, policymaking and more.
Wed25Sep201911.00-17.00UvA eLab Mediastudies
The aim of the sprint is to add or enrich information on the history of Amsterdam in Wikidata. This will, for instance, help us to expand https://years.amsterdamtimemachine.nl/ as developed by Menno, Marieke and Leon during a previous datasprint. We’ll be preparing some data on our end, but you’re also welcome to share your own resources and ideas.
Please sign up through the contact form on this website if you’d like to join us and we’ll provide you with further information.
Our panel proposal for DH2019 has been accepted, more info will follow!
Wed26Jun2019Fri28Jun2019Nassau, The Bahamas
Our own Julia Noordegraaf was invited to give the keynote lecture at the UvA Universiteitsdag, where alumni and UvA researchers meet annually.
Tue11Jun20199.30-17.00Turfdraagsterpad 9 (BG1), room 0.16 (e-Lab)
Organized together with Stadsarchief Amsterdam. More information will follow shortly, but here you can information on the source of the data we'll be playing around with: the Crowd Leert Computer Lezen project.
Thu09May2019Fri10May2019University of Amsterdam
Following our kick-off meeting in Brussels last month, there will be a second Time Machine-wide event in Amsterdam from Thursday May 9 (09:30-18:00) to Friday May 10 (9:30-16:00). It will take place at the University of Amsterdam, specifically venues at Oudemanhuispoort (https://www.uva.nl/locaties/binnenstad/bg-1.html) and Turfdraagsterpad 9 (BG1) (https://www.uva.nl/locaties/binnenstad/oudemanhuispoort.html).
More info on the venue and event series:
Time machines have been the stuff of stories and speculations for centuries. Today, advancements in computation allow us to construct such machines as complex information systems that process cultural heritage as big data of the past. In this event, researchers of the new Time Machine project present their exciting initiative.
The Time Machine project is a large-scale research initiative designed to map over 5000 years of European history, transforming kilometres of archives and large collections from museums into a digital information system. Over 281 institutions from 33 European countries are joining forces to bring the past back in one of the most ambitious projects aimed to consolidate European culture and identity. This event is an opportunity to engage with these researchers and hear from their ideas as to what the European Time Machine is and does, as well as to how it responds to the societal challenges of several European cities. Frédéric Kaplan, Julia Noordegraaf and Andreas Maier each present different facets of the project, while Claartje Rasterhoff moderates a panel discussion with Valérie Gouet-Brunet, Harry Verwayen, Bastien Varoutsikos and Deborah Papiernik on applications of the Time Machine for environmental security, the preservation of endangered heritage and the creative industries.
About the speakers
Julia Noordegraaf is professor of Digital Heritage in the department of Media Studies at the University of Amsterdam. She is director of the Amsterdam Centre for Cultural Heritage and Identity (ACHI), one of the university’s research priority areas. At ACHI she leads the digital humanities research program Creative Amsterdam (CREATE), that studies the history of urban creativity using digital data and methods. Noordegraaf’s research focuses on the preservation and reuse of audiovisual and digital heritage.
Frédéric Kaplan holds the Digital Humanities Chair at École Polytechnique Fédérale de Lausanne (EPFL) and directs the EPFL Digital Humanities Laboratory (DHLAB). He conducts research projects combining archive digitization, information modeling and museographic design. He is currently directing the “Venice Time Machine”, an international project aiming to model the evolution and history of Venice over a 1000 year period. In parallel to his scientific work, Frederic Kaplan participated to exhibitions in several museums including the Biennale of architecture in Venice, the Grand Palais and the Centre Pompidou in Paris and the Museum of Modern Art in New York.
Andreas Maier is a computer scientist and specialist in topics of pattern recognition and machine learning. He heads the pattern recognition lab at the Friedrich-Alexander-Universität working on topics in medical imaging, speech processing, computer vision, and general machine learning. His work focuses on tomography of books and scrolls (i.e. reading them without opening them), scribe and writer identification, and the fusion of deep learning with traditional techniques, such as general signal processing or knowledge representation.
Claartje Rasterhoff is Assistant Professor of Urban History and Digital Methods at the department of History, University of Amsterdam. She acts as coordinator of the Amsterdam Time Machine project. Her research concerns the relationship between culture, economy, and cities since the sixteenth century. She is currently developing a digital historical project on the cultural economy of urban nightlife. She has published on the painting and publishing industries in the early modern Dutch Republic, the organization of the early modern international art trade, and the history of Dutch Design.
You can sign up for this program for free. If you subscribe for the program we count on your presence. If you are unable to attend, please let us know via email@example.com | T: +31 (0)20 525 8142.
Thu18Apr2019nnbUvA eLab Mediastudies
For this data sprint, we propose building an experimental interface to combine 2D, 3D and textual data in one map of Amsterdam. We will be using libraries that contain such data and testing their application in a map, as well as paying attention to existing gaps in the datasets. The result should be a demo interface that provides intuitive access to the data without being overwhelming. Interface experts and designers are especially desired, so if you know any, please do feel free to forward this event to them.
If you’d like to join, please let us know by contacting us through the contact form on this website and we will send you other relevant information in the coming weeks.
Claartje Rasterhoff will present ATM at the symposium 'Ja ik wil' (Yes, I do). At this symposium René van Weeren and Tine De Moor (Utrecht University) will launch their new book Ja ik wil, verliefd, verloofd, getrouwd in Amsterdam, 1580-1810. Morning program on the topic of citizen science and afternoon program with research on historical marriage patterns and other relevant projects ( in Dutch).
The official Time Machine Kick-Off will take place in Brussels on 19-20 March. ATM members Julia Noordegraaf and Claartje Rasterhoff (UvA), Harry Verwayen (Europeana), Marc Lindeman and Ellen van Noort (Picturae), Walter Swagemaker (Eye Filmmuseum), Johan Oomen (Institute for Sound and Vision) and many others will be attending.
Tue05Mar2019Wed06Mar2019De Doelen, Rotterdam
Claartje Rasterhoff, one of ATM's coordinators, will present ATM at the annual DEN event. You can find the entire program here.
Thu28Feb201909:30 - 16:00room 2.18 at Spinhuis, Oudezijds Voorburgwal 185 Amsterdam
This will be a data sprint on the subject of data storage structure. This sprint originates in the need to a design a logical structure for storing the CLARIAH Amsterdam Time Machine project data - so the CLARIAH ATM project team will focus on devising a solution for their data.
The data sprint (09:30 - 16:00) will take place in room is 2.18 at Spinhuis, Oudezijds Voorburgwal 185 Amsterdam. People will need to sign in at reception, and state that they come visit Marieke van Erp or Astrid Kulsdom.
Please sign up through the contact form.
Thu31Jan2019UvA UB Doelenzaal
Please be invited to the kick-off meeting organized by the Virtual Interiors as Interfaces for Big Historical Data Research project. Join if you are interested to learn more about this NWO Smart Culture – Big Data / Digital Humanities funded project on spatially enhanced publications of the creative industries of the Dutch Golden Age, which is hosted at Huygens ING and CREATE (UvA) and works in close collaboration with Brill and the Netherlands Institute for Sound and Vision.
Program can be found here
Thu22Nov2018UvA UB Doelenzaal
The upcoming CREATE Salon takes place on Thursday 22 November between 3:00-5:00pm, UBA Doelenzaal, Singel 425 Amsterdam (different location!). This month’s topic is the Amsterdam Time Machine! During the salon invited speakers will introduce their projects and and we will discuss three pilot projects within the larger CLARIAH project on the Amsterdam Time Machine: linguistics, social and economic history and media studies
I. Linguistics: a reconstruction of nineteenth-century Amsterdam dialects and sociolects, Marieke van Erp (KNAW Humanities Cluster) and Nicoline van der Sijs (Meertens Instituut)
According to some linguists there was a whopping number of 19 neighbourhood dialects in Amsterdam, next to three sociolects: the languages of the low, high, and middle classes. Is it possible to reconstruct these dialects and sociolects based on preserved historical information? And were there indeed so many different ‘accents’?
II. Social and Economic History: Amsterdam Elite, Richard Zijdeman (IISG) and Ivo Zandhuis (AdamNet)
In this project we transform the original dataset (1986) by Boudien de Vries on Amsterdam Elite 1850-1895 into Linked Open Data. This process links additional, social-demographic data that has been developed since and enables new analysis and visualization.
III. Media Studies: Amsterdam Cinema Audiences, Julia Noordegraaf (CREATE) and Vincent Baptist (CREATE)
The consumption of film as a new medium by historical audiences has traditionally been hard to grasp, since sources were sparse, distributed and difficult to analyse in combination. The Media Studies use case aims to develop a better understanding of the historical audiences of Amsterdam cinema theatres in the early 20th century by combining data on cinema theatres and programming from the online Cinema Context database with contextual data on the socio-economic composition of cinema neighborhoods in a geospatial analysis based on the georeferenced and vectorized maps made available in the CLARIAH Amsterdam Time Machine project.