Dr. Elena Mas Tur

Assistant Professor

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Biography

Elena Mas Tur is an assistant professor in the Technology, Innovation & Society group at Eindhoven University of Technology (TU/e). Her main research lines include mathematical models of innovation, simulation models of diffusion, complex networks, and patentometrics. Elena’s research covers simulation models of complex networks in knowledge creation and collaboration, knowledge diffusion through word-of-mouth, social reinforcement, and factors motivating prosocial behavior such as altruism and reciprocity. Additionally, she investigates patent citations as indicators of the technological relevance of inventions. Key findings from her research show that patents can identify the technological relevance of innovations and reveal that successful performers tend to attract collaborators. Elena obtained her PhD in Innovation Studies from Utrecht University in 2016 and holds degrees in Mathematics and Statistics, as well as an MSc in Industrial Economics. She is a member of the International Network for Social Network Analysis and the International Schumpeter Society. Elena also leads a research project titled 'Academic Sleeping Beauties,' which examines the delayed recognition of breakthrough innovations and the factors influencing this phenomenon.

Research Interests

Experience

Assistant Professor

2016-01-01 — Present

Eindhoven University of Technology • Eindhoven, NL

Conduct research and teach in the field of technology, innovation, and society.

Awards

#1

Student Statistics Award

#1

Student Industrial Economics Award

#1

EU-SPRI Forum PhD Circulation Award

Requirements for Eindhoven University of Technology

Master Program
Requirements
GPA Requirement
Required:3.4
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:90
PTE
Listening
Required:65
Reading
Required:65
Writing
Required:65
Speaking
Required:65
Overall
Required:70
Prerequisites
Bachelor's degree in a relevant engineering or science discipline Specific subject knowledge related to the chosen program (e.g., Calculus, Linear Algebra) Maximum 15 ECTS deficiency for international applicants
Application Checklist
  • Certified copy of Bachelor's degree and transcript
  • Authenticated English/Dutch translation of documents
  • Proof of English proficiency
  • Curriculum Vitae (CV)
  • Motivation Letter
  • Two letters of reference
  • Summary of Bachelor thesis/dissertation
  • Concise course descriptions of relevant subjects
  • Copy of passport
  • Proof of payment of application fee (EUR 100)
Specialization Notes

Specific departments like Industrial Design require a portfolio. Programs like Data Science and AI require a GRE-General test for certain international backgrounds.