For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.
The digital history research group at UvA is an interdisciplinary initiative focusing on digital methods to explore, understand, explain and represent past processes. It sets a knowledge exchange base and networking initiative with staff members interested in digital tools and methodologies for historical research.

Coordinator

Dr. M.J.H.F. (Melvin) Wevers

Faculty of Humanities

Geschiedenis

Dr. T.P. (Thomas) Smits MA

Faculty of Humanities

Geschiedenis

The digital history research group at UvA is an interdisciplinary initiative focusing on digital methods to explore, understand, explain and represent historical processes. It sets a knowledge exchange base and networking initiative with staff members interested in digital tools and methodologies for historical research. 

Research description

The Digital History research group explores state-of-the-art research in Digital History by reading and discussing papers, sharing findings of ongoing research, coordinating seminars by inviting speakers, and organizing workshops to learn and/or improve digital skills. Every month, the group invites speakers working on different historical topics and periods. In addition, we organize meetings together with other ASH research groups and institutes such as KNAW Huygens.

Digital History can be characterized by three aspects:

  • Use of digital sources (databasing / querying / digitization)
  • Use of digital methods to explore, contextualise, and analyze digitized material (analysis)
  • Use of digital means to present research to academic and public (presentation / visualization)

Projects in Digital History may drawn on different types of methods and theoretical paradigms to examine historical sources. Through interactions with other scholars, this group aims to spark creativity and foster collaborative exchange.

The topics of interest (based on an internal survey) include but are not limited to:

• Annotating historical material
• HTR
• Text Mining
• Programming (Python / R)
• ABM
• Visualization
• GIS
• Network analysis
• Databases