Dr. Elena Simperl

Professor

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Biography

Elena Simperl is a Professor of Computer Science at King's College London, where she co-directs the King's Institute of Artificial Intelligence and serves as the Director of the Research Open Data Institute. She is a Fellow of the British Computer Society and the Royal Society of Arts. Her research focuses on the intersection of artificial intelligence and social computing, highlighting her contributions to knowledge engineering and AI applications in public engagement. Elena co-chairs the Croissant working group within ML Commons, advancing open standards for data portability and discovery in AI. She is also the president of the Semantic Web Science Association. With a robust background in knowledge graphs, human social computation, and human-centric AI, she actively supports projects aimed at improving the interaction between citizens and technology. Simperl's work has been recognized as influential, being ranked among the top 100 scholars in knowledge engineering over the past decade, particularly notable as a woman in AI with a 2000 ranking. Throughout her career, she has focused on harnessing AI for societal benefit, exemplified through her various interdisciplinary research initiatives in Europe and her contributions to community-based data sharing projects.

Research Interests

Requirements for King's College London

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:23
Reading
Required:23
Writing
Required:25
Speaking
Required:23
Total
Required:100
Prerequisites
Bachelor's degree in a relevant subject Quantitative competency (for some Economics/Finance programs)
Application Checklist
  • Official Transcripts
  • Personal Statement
  • Two Academic References
  • CV/Resume
  • English Language Proficiency Proof
Specialization Notes

Requirements are consistent across King's Business School and Social Science & Public Policy departments for standard Master's entries.