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I use computational methods to study social movements, culture, gender, institutions, and the history of feminism. I'm particularly interested in developing transparent and reproducible text analysis methods for sociology using open-source tools.

I'm an assistant professor of sociology at Northeastern University. I am also core faculty at the NULab for Text, Maps, and Networks, I'm a faculty affiliate at the Network Science Institute, I'm on the executive committee of the Women's, Gender, and Sexuality Studies Program, and I'm on the editorial board of Sociological Methodology and Signs.

Select/Recent Publications:


Recent and Upcoming Talks:

  • October, 2019: Keynote, NovelTM
  • August 11, 2018: "Using Machine Vision to Explore Neighborhood Inequality." American Sociological Association's annual conference.
  • December 7, 2018: "Finding Simple Patterns in Complex Data," TextXD, Berkeley Institute on Data Science.
  • November 1, 2018: "The Future of Coding," Working Group on Computational Social Science, Columbia University.
  • October 17, 2018: “Machine Learning is Feminist,” All Boats Rise? Social Capital, Promise and Peril. A one-day, invitation only gathering of scholars, activists, and leaders, Amazon HQ.


Find me on:

Github: lknelson
Twitter: @LauraK_Nelson
ORCID iD iconorcid.org/0000-0001-8948-300X