Dr. Lina Rahm

Assistant Professor

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Biography

Lina Rahm is an Assistant Professor at KTH Royal Institute of Technology, specializing in the intersection of history, media, and the environment with a focus on artificial intelligence and autonomous systems. Her research is funded through the Wallenberg AI, Autonomous Systems, and Software Program - Humanities and Society (WASP-HS). Rahm's projects address the role of AI in educational governance and its implications for environmental and climate challenges. She investigates how AI can contribute to new forms of knowledge that are essential for solving complex environmental problems, emphasizing the importance of a critical perspective on educational practices related to AI. Her work combines insights from critical media studies, environmental humanities, and science technology studies, exploring the role of education in preparing citizens for a technologically advanced future. Rahm is actively involved in the WASP-HS project, which critically examines the impact of AI on society and promotes discussions on the democratic implications of technological advancements.

Research Interests

Courses

Artificial Intelligence Sustainable Development (AK122V) Gender Technology (AK2202) Media, Technology Culture (AK2203) Perspectives History Science, Technology Environment (FAK3150) Swedish Society, Culture Industry Historical Perspective (AK1213) Research Process, Introductory course (FAK3144) Writing Course for Doctoral Students (FAK3105)

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).