Dr. Philip Leifeld

Professor

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Biography

Philip Leifeld is a Professor of Social Statistics at the University of Manchester, part of the School of Social Sciences. His main research focuses on the intersection of politics and public policy, with particular interest in network analysis, complex systems, statistical modeling, and computational social sciences. He has contributed significantly to discourse network analysis and is known for developing software tools like the Discourse Network Analyzer and the R package texreg. His research has been published in leading journals across political science, public policy, and technical fields, including the American Journal of Political Science and Nature Climate Change. Additionally, he holds a position as a Mercator Fellow in the DFG Research Training Group on Digital Platform Ecosystems at the University of Passau. Leifeld is also actively engaged in mentoring PhD students and is a member of the Mitchell Centre for Social Network Analysis and the American Political Science Association.

Research Interests

Experience

Professor

2024-04-01 — Present

University of Manchester • Manchester, ENG, GB

Research and teaching in the field of Social Statistics.

Professor

2024-01-01 — 2024-03-31

University of Essex • Colchester, ENG, GB

Engaged in research on Comparative Politics.

Mercator Fellow

2022-01-01 — 2027-12-31

University of Passau • Passau, BY, DE

Participation in a research training group focusing on Digital Platform Ecosystems.

Awards

#

Poster Award

2016-06-01
#

Prize for Paper

2023-09-01

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.