About Us

Welcome to NETLAB! Our team conducts research in computational social science and network science. Substantively, our work contributes to environmental social science (e.g. social networks and climate change, the environmental movement, soci-ecological development in the North Atlantic), the sociology of science (e.g. science policy, the evolution of large scale research and development networks, knowledge diffusion, impacts of diversity), and cognitive social science (e.g. integrated models of social and information / belief / knowledge networks, applications of natural language processing and text mining in the social sciences). You can find out about some of our publications here, and our software development projects here.

John McLeveyThe lab is funded in part by grants from the Social Science and Humanities Research Council of Canada (SSHRC) and an Early Researcher Award from the Ontario Ministry of Research and Innovation awarded to the NETLAB Principal Investigator, Dr. John McLevey.

We are currently collaborating with researchers from other institutions in Canada, the US, the UK, Italy, Luxembourg, Germany, and other countries. 

Please contact Dr. John McLevey for more information. 

Training Workshops

We offer methods workshops. You can read about them here. Our plan is to offer workshops annually, usually in early April. This year we are offering workshops on (1) (partially) automating literature reviews for knowledge discovery and synthesis, (2) how to analyze networks with R, and (3) fundamentals of automated content analysis for social scientists

Interested in Joining Us? 

Students in NETLAB are trained in a variety of computational and quantitative methods, from generalized linear models to classical and statistical network analysis, agent-based models, record linkage, and supervised and unsupervised machine learning methods for text analysis. Students are also trained in programming for data analysis, reproducible research techniques, collecting data from the web, from digital archives, using surveys and interviews, and combining quantitative and qualitative methods. Finally, graduate students in NETLAB typically co-author journal articles with Dr. McLevey. 

If you are interested in working in NETLAB or pursing a graduate degree at the University of Waterloo, please send me an email explaining why you are interested in working together and what your educational and / or professional background is. Although there are no open positions right now, there may be in the near future. 

  1. Mar. 19, 2018Record pair classification with recordlinkage

    Using recordlinkage for classifying candidate record pairs.

  2. Aug. 29, 2017Network analysis with metaknowledge

    Generate and analyze networks with metaknowledge.

  3. Aug. 29, 2017Getting started with metaknowledge

    Learning how to extract and explore records from raw bibliometric data.

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