Pete Jones
Independent Contractor at University of Alberta
Rio Grande do Sul, Brazil
Summary
👤
Senior🎓
Top SchoolPete Jones is a quantitatively trained social scientist and independent contractor with nine years’ experience applying network methods to study gender inequities in the film industry. He holds a PhD in Social Statistics from the University of Manchester and has held postdoctoral roles and research fellowships focused on modelling the impact of gender equity policies. Pete blends rigorous statistical and social network analysis with digital humanities approaches to represent narrative texts as data, producing policy-relevant insights for academic and institutional partners. He continues freelance research with the CARD lab and Kinomatics at the University of Alberta while based in Rio Grande do Sul, Brazil, and is open to remote collaborations. Less obvious: he channels his research code and projects through alternative code hosting (Codeberg), signalling a preference for decentralized or privacy-conscious tooling. His work bridges cultural industries, post‑feminist media studies, and applied quantitative methods to expose structural biases and inform equity interventions.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) in Social Statistics, Social Sciences, Doctor of Philosophy (PhD) in Social Statistics, Social Sciences at The University of Manchester
Github Skills (19)
local-search7
firefox7
zola6
static-site5
chat5
catppuccin5
javascript4
r4
linux4
desktop4
zulip4
no-javascript4
elastic4
utterances3
macos3
Programming languages (4)
Github contributions (5)
pj398/movienetdata
Feb 2020 - Aug 2022
Contributions:14 commits, 12 pushes, 2 branches in 2 years 6 months
pj398/between-the-lines
Jul 2019 - Aug 2022
Project repo to accompany my doctoral thesis "A social network analysis approach to examining gendered character positions in popular film narratives".
Contributions:6 PRs, 43 pushes, 4 branches in 3 years 1 month
social-networksocial-network-analysispythonapproachfilm
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