Online lecture 1: Best practices for data management
2025-03-07 14:00 - 16:00 (Europe/Paris) | Zoom
Lecturer: Prof. Tiziana Margaria, University of Limerick, Ireland
Content of the lecture: This lecture aims to enable the students to think critically about key issues around data management, situated in the context of the current best practices. It will also address shortcomings, especially for what concerns manageability over a longer period of time, in a regulatory space, and the dilemmas of governance and sustainability.
Objectives of the lecture: The lecture will introduce the current practice of data description, present the key principles of FAIR and XAIR data, illustrate a few options of data management and governance, also in the context of the GDRP and the AI Act.
It will also encourage the students to reflect on their own situation in this context.
Recommended reading:
Digital Repository of Ireland (DRI): How to Practise Good Research Data Management https://dri.ie/how-to-rdm/
Brian Donnellan, Charles Sheridan & Edward Curry (2011) A capability maturity framework for sustainable information and communication technology’ , IT Professional 13(1) (2011) 33-40. https://ieeexplore.ieee.org/document/5708282
Other relevant texts:
John Breslin, Alexandre Passent, Stephan Decker, (2009) The Social Semantic Web , Springer, https://link.springer.com/book/10.1007/978-3-642-01172-6
Online course:
Udemy.com – Data Management Masterclass – The Complete Course https://www.udemy.com/course/data-management-masterclass-the-complete-course/?srsltid=AfmBOor9zwnQkFSLEmbLLPiVMWKdpmWOC0-CpfWxSMg2KJyOBVcJGl5g&couponCode=2021PM20
You can download the presentation by prof. Tiziana Margaria in .pdf.

Online lecture 2: Using automatic transcription for processing historical sources
2025-03-21 14:00 - 16:00
Lecturers: Adrià Molina (Computer Vision Center) & Joana Maria Pujadas-Mora (Open University of Catalonia & Center for Demographic Studies)
Content of the lecture: The aim of the lecture is to explore the development of a historical digital twin from demographic sources within a big data setup.
Objectives of the lecture:

Highlighting the legitimacy of using automatic methods on demographic sources.
Understanding the current challenges in applying AI to historical sources.
Overcoming challenges through handwriting recognition of population registers to build the BALL database.

Recommended reading:

Pujadas-Mora, J. M., Fornés, A., Ramos Terrades, O., Chen, J., Valls-Fígols, M., & Cabré, A. (2022). The Barcelona Historical Marriage Database and the Baix Llobregat Demographic Database. From algorithms for handwriting recognition to individual-level demographic and socioeconomic data. Historical Life Course Studies, 2022, 12 (99).
Molina, A., Terrades, O. R., & Lladós, J. (2024, August). Fetch-A-Set: A Large-Scale OCR-Free Benchmark for Historical Document Retrieval. In International Workshop on Document Analysis Systems (pp. 347-362). Cham: Springer Nature Switzerland.

You can download the presentation by Adrià Molina in .pdf.

Mentoring and Networking Event at European Social Science History Conference
2025-03-27 18:00 - 20:00 | Einstein, Nieuwe Rijn 19, Leiden, Netherlands
Are you looking to expand your academic network and gain valuable mentorship? We invite you to a Mentoring & Networking Event on March 27, 2025, from 18:00 to 20:00 at Einstein
This event provides a great opportunity to connect with peers and experienced scholars in an informal setting. Whether you’re seeking career advice, research collaborations, or simply wish to meet like-minded scholars, this is an excellent chance to build meaningful connections.
🔹 Date & Time: March 27, 2025 | 18:00 – 20:00🔹 Location: Einstein, Nieuwe Rijn 19, Leiden
🔹 What to Expect: An evening of inspiring conversations, networking opportunities, and mentorship—plus free drinks and snacks!🔹 Registration: https://forms.gle/WNCS6HAWcT5pDFR99
We look forward to seeing you there.
