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AI for Humanities

2025年10月2日 21:10

As part of our blog series, “Stories from the Research Trenches,” we often invite researchers and colleagues to share their personal experiences and opinions. In this blogpost our colleague Miara Fraikin, AI specialist at KU Leuven Libraries and lecturer in architectural history, shares her perspective on the role of AI in the humanities.

With the launch and rapid adoption of ChatGPT, (Generative) Artificial Intelligence is quite abruptly changing the ways we study, research, and work. Based on the research paper ‘Working with AI: Measuring the Occupational Implications of Generative AI’ from Microsoft, media coverage quickly concluded that translators and historians were most likely to be replaced by AI, with respectively 98% and 91% of their tasks able to be taken over by (generative) artificial intelligence. In a blog published on historici.nl, I argued that AI can do a lot, but it can never replace a historian. Why? Read it for yourself here!

While historians won’t be replaced, the research from Microsoft does suggest that the work of historians will change. For those willing to embrace the new possibilities, this could well be a change for the better. Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR) are already well established, and their impact should not be underestimated. Instead of having to read all the published building accounts of Louis XIV searching for mentions of the word ‘chambre,’ a simple search of the document saved me at least a week’s worth of time during my own PhD research. While preparing an article, I used Transkribus and Copilot Chat to decipher an illegible word in a handwritten manuscript, which put the document in a completely new light. AI is also helping librarians, archivists, and museum professionals describe their collections more quickly and extensively, which in turn makes the historian’s research data more accessible. And look at the Studium.ai and NIKAW project to see the wealth of possibilities that researchers at KU Leuven are currently exploring for AI and humanities research.

In the future, long days spent in the archive – reviewing document after document, sometimes with no result – might not be as common. And while I understand that this is part of the charm of being a historian, imagine a future where AI enables us to delve into vast collections of historical data, uncovering historical phenomena on grander scales and in greater detail, with new techniques opening up new lines of inquiry. This is something to be excited about!

Nirmala Menon on marrying technology and the humanities

2020年10月10日 00:31
It is difficult to put a finger on a moment as the beginning of my interest in Digital Humanities- but maybe sometime around the writing of my dissertation in 2009- a postcolonial inquiry about canons and canon making in the discipline. However, life and tenure track sets its own priorities and directions but the interest […]

Job Vacancy: Three-Year Postdoc in Machine Learning

2022年4月19日 16:29

The Early Modern History Research Group at KU Leuven is accepting applications for a postdoctoral position on the European Research Council funded project “Regionalizing Infrastructures in Chinese History.” This project examines how large-scale infrastructures such as roads, city walls, and bridges contributed to regional and empire-wide integration, but equally why and how processes of integration regularly broke down, and how large-scale infrastructure projects contributed to countervailing trends including local tensions, local autonomy, and cross-border regional formations.

The postdoctoral fellow will be mainly responsible for 1) developing named entity recognition for infrastructure in Chinese archaeological reports and historical documents; 2) collaborating with a developer and international partners on the further development of the MARKUS platform , esp. a module for machine learning; 3) (co-)authoring articles on machine learning for NER and platform development ; 4) coordinating research and development with other team members.

Profile of the ideal candidate:

  • PhD in the field of computer science, digital archaeology, digital humanities, or related field
  • demonstrable advanced knowledge of NLP, machine learning methods, including neural networks
  • an interest in archaeological and historical research
  • a cooperative attitude and willingness to engage in collaborative research
  • good communication skills in English
  • Chinese language ability is a plus but not required

The deadline to apply for this position is 31 May 2022. Interviews will take place in August 2022. The starting date for this position is 1 October 2022 (exact date negotiable). For a more detailed description of the vacancy, the desired qualifications and skills, and the application procedure see the full vacancy text.

Training: AI and DH Training Sessions – KU Leuven Faculty of Arts

2022年2月17日 15:04

The KU Leuven Faculty of Arts is organizing training sessions on artificial intelligence and digital humanities. This series of trainings is designed for KU Leuven researchers and MA students who would like to learn more about AI and DH and their possible applications in research. No AI or DH knowledge is required to participate in the sessions. The first three trainings in the series focus on specific AI or DH topics and approaches, but the final workshop session will be in Q&A format. During this session, researchers can bring specific questions to consult and brainstorm with the experts.

You will find the schedule and details for each session below. If you are interested in attending, be sure to register (links below) and mark your calendars for the following dates! 

Tuesday 19 April, 14h-16h, AGOR M00.0E6 (Leercentrum AGORA)
Artificial Intelligence in the Humanities: An Introduction (Tim Van de Cruys) 

This introduction session aims to introduce the basic concepts of artificial intelligence to researchers in the humanities, allowing them to examine if and how AI can be applied within their own research. The session consists of two parts. The first part provides a succinct overview of the field, with a specific focus on machine learning. We will examine how to train a system on sample data in order to make predictions for novel data, illustrated with example applications in the humanities. The second part is a hands-on tutorial, in which the participants learn how to implement a basic machine learning pipeline themselves, so that they can apply predictive models to their own data.  

Tuesday 26 April, 14h-16:30h, AGOR M00.0E6(Leercentrum AGORA)
Relational Databases: Design and Implementation (Mark Depauw and Tom Gheldof) 

This training is aimed at researchers who have data they would like to organize in a database. It will explain how to set up a relational database for humanities data, how to model data such as time and space in the context of this, how to import existing data and tailor it to a specific research question. In the second part of the training, we will introduce, with a hands-on session, the user-friendly FileMaker Pro environment, which has broad functionalities and permits the export of the data to any other format. In the ‘outlook’ the possibilities of online publishing will be briefly addressed. 

Monday 2 May, 14h-17h, AGOR M00.0E6 (Leercentrum AGORA)
Introduction to Social Network Analysis and Gephi (Yanne Broux, Margherita Fantoli) 

This introduction aims at providing the participants with the fundaments of network analysis. We will present the main definitions related to graph theory, and present the most commonly used metrics to rank and cluster the nodes in the graphs. In the hands-on part, the participants will first learn how to implement a network in Gephi starting from .csv files and then explore the Gephi environment. Both the graphical tools for visualization and the functions for analyzing the network (centrality measures, community detection) will be presented and the results analyzed in light of the points discussed during the theoretical introduction. 

Tuesday 10 May, 14h-16h, LETT 03.30 (Erasmushuis)
Q&A Session on Artificial Intelligence and Digital Humanities: Bring Your Own Questions 

Are you wondering whether artificial intelligence can help you in your research? Do you want to get an idea of the possibilities of digital humanities with regard to your own research subject? Then join us for a Q&A session, where Tim Van de Cruys (AI), Margherita Fantoli (DH), and a good part of the DH-support team at the faculty and at Artes (KU Leuven Libraries) will be available to answer all your questions. For organizational reasons, we ask you to provide us with a brief description of your research topic beforehand (but you’re also welcome to drop by last-minute). 

 

Register for one or more of the workshops here 

Register for the Q&A session here 

 

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