Data

RAIVE Summer School – Self-built technologies and AI datasets [Applications close May 10]

RAIVE Summer School

We are very excited to have launched the open call for the third edition of RAIVE Summer School, taking place between the 31st of August and 6th of September 2026.  

RAIVE is a collaboration between researchers of Sint Lucas School of Arts Antwerpen (KdG) and the Royal Conservatoire Antwerpen (AP). It is a laboratory where young artists from diverse disciplines such as dance, music, visual arts and technology come together to redefine the boundaries of their craft through the lens of interdisciplinary collaboration. Within RAIVE you have the possibility to explore integrating self-built technologies and AI data sets into an artistic creation process. We aim to reflect on what collaboration between humans and technology implies, and how we can approach it in small scale and ethical ways. The summer school is for anyone who considers themselves a young artist/researcher (regardless of age) and is interested in the topic of performative AI and interdisciplinary creation. 

If you want to know more, visit the website of RAIVE. Everything you need to know can be found there. The application deadline has been extended until the 10th of May. 

Demystifying Data Journals [Mar 10 @ 13:00, online]

Demystifying Data Journals: Experiences of data journal editors

Data journals are a format of publication that publish datasets or ‘data papers’ rather than conventional research articles. They offer a route to increase the visibility of research data outputs whilst also rewarding creators with a peer-reviewed publication, credit, and increased opportunity for citation (Walters, 2020). This event will feature presentations from researchers from a range of disciplines, in both STEM and the humanities, involved in editing data journals, who will share their experiences and advice with attendees. The event will introduce the concept of data journals and how they operate and explore best practices when submitting papers to these journals or developing data journal publications. There will be opportunities for questions and discussions throughout the event. This event is delivered by the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR) and attendance is open to anyone with an interest in learning more about data journals.

Walters, W.H. (2020) ‘Data journals: incentivizing data access and documentation within the scholarly communication system’, Insights: the UKSG journal, 33(1), p. 18.

Agenda

13:00 – 13:05: Introduction and welcome

13:05 – 14:25: Talks and Q&A session

  • Prof. Vanessa Higgins, University of Manchester. Editorial Board Member for the Research Data Journal for the Humanities and Social Sciences.
  • Judith Winters, University of York. Editor of Internet Archaeology.
  • Dr Derek Gatherer, Lancaster University. Editorial Board, Scientific Data.
  • Dr Laura Sbaffi, University of Sheffield. Section Editor for PLOS Digital Health and Associate Editor for JASIST

14:25 – 14:30: Final comments

Reference Extraction at the Intersection of AI Research and the Digital Humanities: Validation, Interoperability and Collaboration [Nov 4, hybrid]

Reference Extraction at the Intersection of AI Research and the Digital Humanities: Validation, Interoperability and Collaboration

This informal meeting is meant mainly to foster collaboration and knowledge exchange between researchers and practitioners working at the intersection of data extraction, artificial intelligence, and the digital humanities. In the workshop, we continue to address the challenge of extracting heterogeneous references from texts, particularly from historical documents and humanities or legal scholarship. This second workshop focuses on three key themes emerging from the 2023 discussions:

  1. Validation: How can we evaluate and benchmark the performance of different reference extraction tools and approaches, particularly with large language models?
  2. Interoperability: How can we ensure that different tools, datasets, and workflows can work together effectively through shared data models and formats?
  3. Collaboration: How can researchers, developers, and institutions work together to advance the field of reference extraction?

The program is available online at: https://mpilhlt.github.io/reference-extraction/workshop-2025/programme/

The event will take place in-person and online. Register at https://plan.events.mpg.de/e/refextract25 

A link for online attendance will be sent to registered participants before the event. Also, even if you cannot attend, but want to be informed about updates, materials being made available, etc. you can notify us about this at the registration link.

Programme

Tuesday 04 November 2025

Onboarding

09:00-09:15 Arrival/Registration

09:15-09:45 Christian Boulanger/Andreas Wagner (mpilhlt): Welcome and Upshot from RefExtract2023, State of the Discussion

09:45-10:00 Coffee Break

Research presentations

10:00-12:30

  1. Hiba Arnaout (TU Darmstadt): In-depth Research Impact Summarization through Fine-Grained Temporal Citation Analysis
  2. Yurui Zhu/Matteo Romanello (Odoma): Benchmarking Large Language Models on Reference Extraction and Parsing in the Social Sciences and Humanities
  3. Sofía Aguilar Valdez (Saarland University): How Scientific Ideas Evolve
  4. Open Discussion and Ad-Hoc Presentation of Research

12:30-13:30 Lunch

Datasets, Infrastructure and Interoperability

13:30-15:30

  1. Angelo Di Iorio/Matteo Guenci/Marta Soricetti*/Silvio Peroni/Lorenzo Paolini*/Ivan Heibi (University of Bologna): Citation Extractor and Classifier: Pipeline and Datasets (*presenting)
  2. Tamara Heck/Christoph Schindler/Verena Weimer/Philipp Mayr/Ahsan Shahid (DIPF/GESIS): Open Citation Data for Educational Research
  3. Christian Boulanger, Andreas Wagner (mpilhlt): Datasets in the Legal Theory Knowledge Graph Project
  4. Interoperability Roundtable: Open Discussion on Data Models and Data Formats

15:30-16:00 Coffee Break

Tools, Workflows and Pipelines

16:00-17:30

  1. Raphael Schlattmann/Malte Vogl (mpigea)/Aleksandra Kaye (TU Berlin/mpigea): LLM-Based Knowledge Graph Extraction Pipeline
  2. Luca Foppiano (ScienciaLAB): Training the Grobid Reference Extraction Models
  3. Christian Boulanger/Andreas Wagner (mpilhlt): Annotation Tools for Machine Learning: PDF-TEI Editor (for LLamore & Grobid), Prodigy, TEI-Publisher

17:30-18:30 Takeaways, Way Forward, Closing

Culture, Data and the Humanities in the Age of AI – Seminar (Dublin)

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The use of machine learning to study patterns of cultural and social change has developed very rapidly in the last decade and the insights from this kind of research are urgently needed in a context where AI tools are rapidly proliferating, raising issues of ethics, trust and epistemology. In this context, this half day colloquium will reflect on the experience of collaborative research between data science and the humanities and the potential it offers for new insights, resources and methodologies. It will hear from researchers on two milestone projects, reflecting on the nature of their collaboration, lessons for future research and reflecting with Irish researchers on the collaborative path forward.

The Ed Ruscha Streets of Los Angeles Archive at the Getty Research Institute in Los Angeles brought together an international team of art historians, media analysts, architects, urban planners, information specialists and software engineers with Getty staff to document, interpret, and debate the Streets of Los Angeles Archive, which was created by the artist Ed Ruscha beginning in 1965 and continuing over the subsequent fifty years.

Living with Machines was a flagship collaborative humanities and science research initiative at the Alan Turing Institute, bringing together historians, data scientists, geographers, computational linguists, library professionals, and curators to examine the human impact of industrial revolution. Developing new tools, methods and resources it exemplifies the capacity to analyse at scale and produce new insights and analysis through such collaboration.

Speakers: Eric Rodenbeck (Stamen), Dr. Emily Pugh (Getty Research Institute), Prof. Mark Shiel (King’s College London), Dr. Katherine McDonough & Dr. Daniel Wilson (The Alan Turing Institute)

More information:

This event is co-organised by the UCD Centre for Cultural Analytics and Insight Research Ireland Centre for Data Analytics, and will feature visiting speakers from the Getty Research Institute and the Alan Turing Institute.

Venue: UCD Conway Lecture Theatre (B039), University College Dublin
Date: 7th March 2025
Time: 12.00-16.30

Registration here.