Humboldt-Universität zu Berlin - Digital History

Melanie Althage, M.A.

Status
Research Assistant
E-Mail
melanie.althage(at)hu-berlin.de

Institution
Philosophische Fakultät → Institut für Geschichtswissenschaften → Digital History
Office
Friedrichstraße 191-193 , Raum 5001
Phone
(030)2093-70554
Office hours
by arrangement via e-mail
 

 

 

Curriculum vitae

  • since 2020: Research assistant at the Chair of Digital History at Humboldt-Universität zu Berlin and in the project Die Performanz der Wappen. Zur Entwicklung von Funktion und Bedeutung heraldischer Kommunikation in der mittelalterlichen Kultur (12.-15. Jahrhundert)
  • 2019-2020: Student assistant at the Service Center Digital Humanities Münster (SCDH)
  • 2018-2019: Student assistant at the LWL-Archivamt für Westfalen
  • 2011-2020: Bachelor’s and master’s degree in History and Philosophy at the University of Münster
    • Title of the Master's thesis: Mining H-Soz-Kult – Comparison of Text Mining and Data Mining as Methods of Digital History for the Analysis of Trends and Developments in the Recent History of the Discipline

 

 

Research

Research Interests:
  • Historiography
  • Historical Scholarly Communication
  • Text Mining and Data Mining
  • (Digital) Source and Method Criticism

 

PhD project:

"Mining the Historian's Web - Method-critical Reflection on Quantitative Approaches to the Analysis of Digital-born Sources Using the Example of Historical Scholarly Communication"


Teaching

  • Mining History - Programmieren für Historiker*innen II (Python) – Aufbaukurs“ (engl. „Mining History - Programming for Historians II (Python) - Advanced Course”, SoSe 2021, together with Philipp Schneider)
  • "Programmieren für Historiker*innen (Python)" (engl. „Programming for Historians (Python)”, SoSe2020, WiSe2020/2021, together with Philipp Schneider)
  • "Die historische Zunft im Web - Mit Text und Data Mining der digitalen Fachkommunikation auf der Spur" (engl. „The Historical Profession on the Web - Tracing Digital Scholarly Communication with Text and Data Mining”, WiSe2020/2021)
  • "Einführung in die Methoden der digitalen Textanalyse" (engl. „Introduction to Digital Text Analysis Methods “, SoSe2020)