Dr. Tina Van Der Vlies

Associate Professor

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Biography

Tina van der Vlies is an associate professor in the Department of History at Erasmus University Rotterdam. Her academic work focuses on history, heritage, education, and (de)colonization, with a particular emphasis on how historical contexts influence knowledge production, contestation, and circulation. She engages in memory studies and educational history, looking at how specific historical interpretations persist and evolve, shaping identities and societal perceptions. Her research has produced insights into the ways in which historical narratives are perpetuated and the mechanisms behind their (re)production, particularly within educational curricula. She has received several awards for her work, including the Erasmus University Research Prize in 2021 and the Georg Eckert Research Award in 2022. Her recent publication, "Echoing Events: Perpetuation National Narratives in English and Dutch History Textbooks, 1920-2010," examines how textbooks narrate history and maintain national narratives through historical analogies. Currently, she is involved in an NWO-funded Rubicon project at the University of Cambridge, exploring public discourses on the purposes of history education from 1920 to 2020. Her academic contributions frequently intersect with discussions of how history education impacts society and collective memory.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Erasmus University Rotterdam • Rotterdam, NL

Teaches and researches in the field of history with a focus on heritage, education, and cultural narratives.

Awards

#2022

Georg Eckert Research Award

2022-01-01
#2021

Erasmus University Research Prize

2021-01-01

Requirements for Erasmus University Rotterdam

Master Program
Requirements
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:91
Prerequisites
Bachelor degree in Econometrics, Mathematics, Statistics or Industrial Engineering Advanced Mathematics (Calculus, Linear Algebra) Applied Statistics Econometrics and Time-series analysis
Application Checklist
  • Bachelor diploma or graduation statement
  • Official academic transcript
  • Curriculum Vitae
  • Proof of English proficiency
  • Course descriptions for Mathematics prerequisites
Specialization Notes

Department of Econometrics / MSc Econometrics and Management Science.