Laura K. Nelson

Laura K. Nelson

Associate Professor of Sociology

University of British Columbia

Biography

I’m an associate professor of sociology at the University of British Columbia and am the director of the Centre for Computational Social Science. See this Q&A for more on my research, teaching, and what I hope to accomplish at UBC.

Previously, I was an assistant professor at Northeastern University, where I was core faculty at the NULab for Text, Maps, and Networks, a faculty affiliate at the Network Science Institute, and was a member of the executive committee of the Women’s, Gender, and Sexuality Studies Program.

I am elected council for the Sociology of Culture and the Mathematical Sociology sections of the American Sociological Association. I’m a consulting editor and an ad hoc deputy editor at the American Journal of Sociology and I’m on the editorial boards of Poetics and Acta Sociologica.

Interests
  • social movements
  • gender
  • computational sociology
  • text analysis
  • culture
  • institutions
Education
  • PhD in Sociology

    University of California, Berkeley

  • MA in Sociology

    University of California, Berkeley

  • BA in Sociology with a Concentration in Analysis and Research

    University of Wisconsin, Madison

Skills

Python

R

Linux

Professional Appointments

 
 
 
 
 
University of British Columbia
Associate Professor of Sociology
Jul 2024 – Present Vancouver, BC
  • Director - Centre for Computational Social Science
 
 
 
 
 
University of British Columbia
Assistant Professor of Sociology
Jul 2021 – Jun 2024 Vancouver, BC
  • Director - Centre for Computational Social Science
 
 
 
 
 
Northeastern University
Assistant Professor of Sociology
Aug 2016 – Jun 2021 Massachusetts
  • Core Faculty - NULab for Texts, Maps, and Networks
  • Executive Committee - Women’s, Gender and Sexuality Studies Program
  • Affiliated Faculty - Network Science Institute
 
 
 
 
 
University of California, Berkeley
Postdoctoral Fellow
Aug 2016 – Aug 2017 California
  • Research Fellow - Berkeley Institute for Data Science
  • Research and Teaching Fellow - Digital Humanities @ Berkeley
 
 
 
 
 
Northwestern University
Postdoctoral Research Fellow
Aug 2014 – Aug 2016 Illinois
  • Research Fellow - Kellogg School of Management
  • Research Affiliate - Northwestern Institute on Complex Systems

Publications

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Courses and Workshops

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Online Posts & Media

How do we nurture an academic landscape that is more accessible to women? Let’s start by getting rid of the in-person interview
In the lead up to International Women’s Day on Friday March 8th, SAGE Ocean posed a series of questions to leading academics. In this post I explores how we nurture an academic landscape that is more accessible to women.
How do we nurture an academic landscape that is more accessible to women? Let’s start by getting rid of the in-person interview
The Computation/Context Trade-Off?
In this blog post I explore a fundamental question in computational social science: does “big computation” necessarily comes at the expense of narrative richness, contextual detail, and theory? Or, conversely, narrative richness can only happen without computation?
The Computation/Context Trade-Off?
Developing a Feel It, Touch It, Smell It Analytics
Rather than simply calling for diversity within the field of data analytics on terms dictated by this “new ‘Old Boy Network’ of Ivy Leaguers,” we should instead make big data, and data analytics, work on our own terms. I believe we can develop a data analytics that helps us touch, smell, and feel the game (and the social world).
Developing a Feel It, Touch It, Smell It Analytics
Feminism, Culture, and Computational Sociology
To give a taste of my research agenda I highlight below a few of my findings and methods, ending with hopes for future research along these lines.
Feminism, Culture, and Computational Sociology
Text as Data: A Call to Standardize Access and Training
Data come in all shapes and sizes, but in the past ten years we have seen huge leaps in the amount of data readily available in the form of unstructured or semi-structured text. This presents both opportunities and challenges for social science researchers, including social movements scholars.
Text as Data: A Call to Standardize Access and Training
Computer-Assisted Content Analysis and Sociology: What You Should Know
In this blog post I address two common critiques of computational text analysis, as they are articulated by Andrew Perrin, in his review of the Poetics special issue on topic modelling.
Computer-Assisted Content Analysis and Sociology: What You Should Know

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