Dr. Ashton Anderson

Associate Professor

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Biography

Ashton Anderson is an Associate Professor in the Department of Computer Science at the University of Toronto, where he is engaged in research at the intersection of artificial intelligence, data, and society. He runs the Computational Social Science Lab and focuses on understanding the implications of AI technologies in social contexts. Prior to joining the University of Toronto, he served as a Postdoctoral Researcher in the Computational Social Science group at Microsoft Research in New York City, where he developed methodologies to analyze and interpret complex social phenomena through computational techniques. Since beginning his tenure-track position in July 2017, he has been integral in advancing research that bridges computational methods and social science insights, empowering students and collaborators to explore novel questions in these dynamic fields.

Research Interests

Experience

Postdoctoral Researcher

2015-07-01 — 2017-07-01

Microsoft Research • New York City, NY

Conducted research in computational social science, focusing on the analysis of social data using advanced computational methods.

Assistant Professor

2017-07-01 — Present

University of Toronto • Toronto, ON

Started tenure-track position in Computer Science, focusing on research and teaching in AI and its societal implications.

Requirements for University of Toronto

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:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:93
Prerequisites
Appropriate four-year bachelor's degree Background in sociological theory and statistics preferred
Application Checklist
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  • Curriculum Vitae
Specialization Notes

Department of Sociology