On the 9th and 10th of November 2022 the Huygens Institute in collaboration with the City Archives of Amsterdam and the Data for History consortium will organize a conference to present the results of the Golden Agents project and a workshop to discuss shared challenges in extracting data from archival sources, and subsequently processing and modeling data for use in digital humanities and social sciences. A hybrid keynote on Wednesday, 9 November 2022, 3-4 pm, on the topic of “The Power of the Anecdotal” by Dr. Danielle van den Heuvel (Associate Professor at the University of Amsterdam and p.i. of the Freedom of the Streets project) in the context of the Data for History Lectures series concludes the conference.
Abstract – Danielle van den Heuvel: “The Power of the Anecdotal”
Centering on The Freedom of the Streets project that runs at the University of Amsterdam since 2016, in this lecture I aim to illustrate why we need to take seriously anecdotal information, and evidence on ephemeral phenomena in particular, to answer complex historical questions. Drawing from years of research on the history of women, I will show how digital approaches to anecdotal evidence can provide new answers to age-old questions, how it illuminates complexities in source corpora, and what challenges remain.
Keynote within the Golden Agents conference (part of the Data for History Lectures series)
Time: Wednesday, 9 November 2022, 3-4 pm (s.t.)
Place: via Zoom – Request access via email (digitalhistory@hu-berlin.de)
The Golden Agents project
The Golden Agents project started with the aim of creating an infrastructure that combines linked data from the field of cultural heritage with multi-agent technology to analyze interactions between multiple branches of the creative industries in the Netherlands in the seventeenth and eighteenth centuries, and between the production and consumption of art. Key results of this project include digitizing huge numbers of notary acts of the Stadsarchief Amsterdam (Amsterdam City Archives) using Handwritten Text Recognition (HTR) and developing ontologies, agent technology, tools for the disambiguation and identification of entities, and NLP techniques to prepare the contents of these archival resources for representations in Linked Open Data for historical research.
Golden Agents conference (hybrid)
Title: Processing archival resources and preparing Linked Data for historical research
Topic: Presentations Golden Agents project/Data for History Lecture
Date: Amsterdam 9 November 2022
Location: Stadsarchief Amsterdam, Vijzelstraat 32, 1017 HL Amsterdam or digital via Zoom
Organizers: Golden Agents, Stadsarchief Amsterdam and Data for History Consortium
Program
12:00 – 12:30 – Arrival
12:30 – 12:40 – Welcome; Bert de Vries (Director Stadsarchief Amsterdam)
12:40 – 12:50 – Introduction; Charles van den Heuvel
12:50 – 13:30 – Presentation: Connecting Data of Archives, Libraries and Museums for historical research of the creative industries of Amsterdam in the 17th and 18th centuries; Jirsi Reinders & Leon van Wissen
13:30 – 13:50 – Break
13:50 – 14:10 – Presentation: Agent Technology for Assisted Querying of the Data; Jan de Mooij
14:10 – 14:20 – Website launch; Bas Doppen
14:20 – 14:40 – Project deliverables and future possibilities; Charles van den Heuvel/Els Stronks
14:40 – 15:00 – Break
Keynote in context of Data for History Lecture Series
15:00 – 16:00 – Hybrid Keynote: Danielle van den Heuvel: The Power of the Anecdotal
16:30 – Start Valedictory Lecture (in Dutch); Prof. Dr. Frans Grijzenhout in the Aula of the University of Amsterdam Singel 411 (corner Spui) Amsterdam
You are welcome to attend the entire conference program of November 9th in addition to the Data for History Lecture at 3 pm. The login data will be sent to you upon request via email (digitalhistory@hu-berlin.de).
OpenEdition schlägt Ihnen vor, diesen Beitrag wie folgt zu zitieren:
Digital History Berlin (Redaktion) (7. November 2022). Keynote: Danielle van den Heuvel – The Power of the Anecdotal (Data for History Lecture at the Golden Agents Conference). Digital History Berlin. Abgerufen am 5. November 2024 von https://doi.org/10.58079/nl42