(Humanities DataLab),was established in the field of digital humanities with the aim of rethinking and transforming research in history, literature, language, cultural heritage, and society through the possibilities offered by technology. By building a methodological bridge between technology and the humanities, the Lab provides a foundation for next-generation research approaches and data-driven analytical methods.

Its areas of work include the processing of Ottoman and modern historical data; the automatic transcription of manuscript and printed texts; text mining; the development of AI-supported analytical models; the mapping and spatial visualization of historical data. The Lab’s primary goal is to promote a culture of data-driven thinking in the humanities and to establish a productive and collaborative research ecosystem grounded in the principles of open science, digital ethics, and interdisciplinary cooperation.

CONTACT: fatma.aladag@marmara.edu.tr

 

 

TEAM

What Do We Work On?

• Processing Ottoman and modern historical data
• Automatic transcription of manuscript and printed texts
• Mapping and visualization of historical data
• Text mining and AI-supported analytical models
• Data ethics, open science, and digital pedagogies in the humanities

 

What Do We Aim For?

The primary aim of our Laboratory is to support data-driven modes of thinking in the humanities and to encourage interdisciplinary production through the use of artificial intelligence, natural language processing (NLP), geographic information systems (GIS), network analysis, and related methods. We seek to provide an open, productive, and collaborative environment for both researchers and students.

 

What Do We Do?

Research and Development Projects

• Analysis of Ottoman and modern historical data
• Automatic transcription of manuscript and printed texts using tools such as Transkribus
• Extraction of person–place–event relationships from historical texts through natural language processing (NLP)
• Spatial humanities applications using Geographic Information Systems (GIS)
• AI-supported classification and visualization models

 

Education and Capacity Building

• Digital humanities workshops for undergraduate and graduate students
• Reading groups and seminars based on open data and open science
• Applied training programs providing skills in transcription, data visualization, and network analysis

 

Collaboration

• Producing open datasets with researchers
• Sharing project outputs through online platforms
• Developing new tools and models in collaboration with interdisciplinary teams