Dr. Francisca Grommé

Assistant Professor

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Biography

Francisca Grommé is an assistant professor specializing in the intersection of digitalization, work, and society at Erasmus University Rotterdam. She holds a background in science and technology studies (STS) and political science, with a focus on digital sociology. Grommé conducts ethnographic research on data and artificial intelligence, exploring how these technologies are reshaping governance arrangements and affecting social justice and the quality of work. Her current research projects investigate the implications of (semi-)automated work processes within the agrifood sector and healthcare, supported by the Dutch Research Council and Trustfonds. Grommé has previously studied the changing dynamics of work practices in policing and how statistical methods can redefine concepts of belonging, citizenship, and worker rights. She is also interested in innovating social science research methodologies and has published work in prominent journals like Science, Technology, and Human Values.

Research Interests

Experience

Assistant Professor

2020-01-01 — Present

Erasmus School of Social and Behavioural Sciences • Rotterdam, Netherlands

Assistant professor in digitalization, work, and society, focusing on research in the context of science and technology studies.

Courses

Politics, Work, and Technology AI: Present and Future Work

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.