WP5: AI Training and Dev

Work package number5
Work package titleAI Training and Tool Development
Objectives To train an AI and design, develop, and test AI tools that can assist scholars and professionals in history, archaeology, geography, and linguistics.
Description of work
WP5 is tasked with the training of AI using the curriculum developed in WP4, thereby enabling it to analyze and interpret historical data effectively. This will be followed by the design and development of AI tools tailored to the needs of scholars and professionals in history, archaeology, geography, and linguistics. The tools will be designed to handle tasks such as transcription of ancient texts, contextual analysis of historical data, predictive modeling for archaeological sites, and semantic analysis across languages and dialects.

The AI tools developed will be subjected to rigorous testing in simulated and real-world scenarios to ensure their reliability and efficacy. This will include the validation of AI interpretations by human experts, ensuring the tools meet the high standards required for scholarly research. The AI will also be trained to adapt to the evolving needs and feedback from its human collaborators, making it a dynamic and responsive research aid.

The work package will be led by UNISAEN with significant time commitments from a site project director and a team of AI developers ranging from post-doctoral to pre-doctoral levels. Collaborating participants from Partner 4-Policy/Ethics, UA, UC3M, and CSIC will contribute their expertise to ensure that the tools are developed with consideration for ethical implications and historical accuracy.

The deliverables for WP5 will include a set of AI tools, comprehensive user manuals for each tool, and a detailed tool evaluation report. These tools will embody the project’s goals of bridging traditional methodologies with AI processes, enhancing scholarly research while adhering to ethical standards. The work undertaken in WP5 will not only facilitate cutting-edge research in historical studies but will also set a precedent for interdisciplinary collaboration in the humanities.


Lead Participant
Senior Collaborator, 1 person-months
Post-Doc AI Site Project Director, 12 person-months
Pre-Doc AI Developer 1, 13 person-months
Pre-Doc AI Developer 2, 13 person-months
Pre-Doc AI Developer 3, 13 person-months

Collaborating Participants

Roger Martinez-Davila, Head Project Director, 4 person-months
Jaime Alvar Ezquerra, Senior Collaborator, 1 person-months
Maria Mirella Romero Recio, Senior Collaborator, 1 person-months
Program Manager (Lola?), UC3M Library of Humanities, Communication and Documentation, 2 person-months
Post-Doc for History Research and Data Issues, 5 person-months
Post-Doc for AI Issues, 14 person-months

Daniel Tejerina, Site Project Director, 5 person-months
Jaime Molina Vidal, Senior Collaborator, 1 person-months
Post-Doc for History Research and Data Issues, 5 person-months

Partner 4
Post-Doc for Ethics Issues, 6 person-months
Post-Doc for Policy Issues, 6 person-months
Senior Collaborator, 1 person-months

Ana Rodriguez Lopez (Senior Collaborator, 1 person-months)

Deliverables: Create multiple scholarly-levels of development of the AI. Create at least three functional AI tools, user manuals, and a tool evaluation report.