Dr. Tine De Moor

Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Tine De Moor. Improve your application with a focused, well-structured draft.

Biography

Tine De Moor is a Professor of Social Enterprise and Institutions for Collective Action at the Rotterdam School of Management, Erasmus University Rotterdam. She received her PhD in History from Ghent University in 2003. Professor De Moor specializes in researching the creation, functioning, and evolution of institutions for collective action, particularly in a historical context. Her research interests include various forms of collective action organizations, such as energy cooperatives and citizen initiatives related to food supply. Over the past decade, she has significantly contributed to understanding how historical perspectives can inform current collective action strategies. De Moor is actively involved in innovative research methods, including Citizen Science projects, and has received substantial research grants, including the ERC Starting Grant and NWO-VIDI. As president of the International Association for the Study of Commons, she has been influential in peer-reviewed academic publishing in this field. De Moor has been recognized for her academic contributions and has held various advisory roles in projects focused on sustainable development and cooperative governance.

Research Interests

Experience

Professor

2012-12-01 — Present

Rotterdam School of Management, Erasmus University Rotterdam • Rotterdam

Appointed as Professor of Institutions for Collective Action.

Awards

#

Collectieve Kracht

2021-01-01
#

VICI Grant 'UNICA' Project

2020-01-01

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.