Bernie Hogan
Associate Professor
Oxford, England, United Kingdom
Summary
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Senior🎓
Top SchoolBernie Hogan is an Associate Professor and computational social scientist at the University of Oxford with 12+ years of experience bridging social theory, network analysis, and large-scale digital data. He specialises in methodological innovation across surveys, interviews, experiments and big-data workflows, with deep expertise in the collection, storage, retrieval and visualisation of personal social networks. His research spans how underrepresented groups and regions represent themselves online—from Wikipedia and Facebook to visual network representations that improve public health data quality—and increasingly explores the social implications of AI-generated imagery using GANs and diffusion models. Trained in sociology with a PhD from the University of Toronto and a background in computer science, he blends quantitative rigour with design-minded visualisation practices, and authored the 2023 book From Social Science to Data Science. An observer of subtle representational effects, he combines long-standing network visualisation work with cutting-edge inquiry into synthetic likenesses.
12 years of coding experience
Doctor of Philosophy (PhD), Sociology, Doctor of Philosophy (PhD), Sociology at University of TorontoBachelor of Arts (BA), Sociology, Bachelor of Arts (BA), Sociology at Memorial University of Newfoundland
Github Skills (10)
sna8
visualization6
javascript3
jupyterlab3
data-collection3
jupyterlab-extension3
jupyter2
canvas2
table-of-contents2
data-visualization1
Programming languages (5)
Github contributions (5)
oxfordinternetinstitute/sds-python
Sep 2018 - Aug 2019
Contributions:45 commits, 3 pushes in 10 months
berniehogan/fsstds
May 2022 - Mar 2023
Contributions:11 commits, 1 PR, 16 pushes in 10 months
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