me

Publications

Gilroy, Connor and Ridhi Kashyap. 2021. “Digital Traces of Sexualities: Understanding the Salience of Sexual Identity through Disclosure on Social Media.” Socius 7: 1–18. doi: 10.1177/23780231211029499

Salganik, Matthew J., Ian Lundberg, Alexander T. Kindel, [and 109 others, including Connor Gilroy]. 2020. “Measuring the Predictability of Life Outcomes with a Scientific Mass Collaboration.” Proceedings of the National Academy of Sciences 117(15):8398–8403. doi: 10.1073/pnas.1915006117

Filippova, Anna, Connor Gilroy, Ridhi Kashyap, Antje Kirchner, Allison C. Morgan, Kivan Polimis, Adaner Usmani, and Tong Wang. 2019. “Humans in the Loop: Incorporating Expert and Crowdsourced Knowledge for Predictions using Social Survey Data.” Socius 5: 1–15. doi: 10.1177/2378023118820157.

I'm a machine learning data scientist at Blue Rose Research, where I work on political forecasting. I care about data, statistics, and social change. I have a PhD in sociology from the University of Washington, and I currently live in Seattle.

My academic research has used digital and computational methods to study community and identity, with a substantive focus on queer communities and LGBTQ populations. I've examined the construction of meanings of “community” in digital spaces through word embeddings, trajectories of demographic and socioeconomic change in gayborhoods, and the disclosure of sexual identities on social media. I've also striven to create open and accessible teaching materials, especially for computational social science methods and tools.

Previously, I've interned as a data scientist and quantitative UX researcher at Meta, and consulted on survey data analysis for the World Bank.

My name is pronounced /ˈkɒnər ˈgɪlrɔɪ/. I generally use he/him pronouns.

© Connor Gilroy 2024

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