mclevey

metaknowledge_article_supplement

Online Supplement for "Introducing metaknowledge: Software for computational research in information science, network analysis, and science of science"

GESIS_2020_Fundamentals

Workshop materials for McLevey and Anderson's workshop in the 49th GESIS Spring Seminar: Digital Behavioral Data

SHSNAv2

The Sage Handbook of Social Network Analysis (Volume 2)

mclevey.github.io

CV

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

computational-social-science-python-r

Course materials for McLevey and Gruber (2024) Introduction to Computational Social Science, GESIS Fall Seminar, 2024

dcss

Python package accompanying McLevey (2022) Doing Computational Social Science

podlm

Probabilistic Opinion Dynamics with Language Models

data-methods-models

Materials for my graduate course "Data, Methods, and Models" in the UW MFC Program

dotfiles

hSBM_Topicmodel

Using stochastic block models for topic modeling

inferential-network-clustering-hsbms

INTEG120

Lecture Slides for INTEG 120: The Art & Science of Learning (Knowledge Integration, UWaterloo)

lab_projects

Template for lab projects.

mclevey

mlu

McLevey Lab Utilities

otta

Topic model analysis for inclusion in Stoddart, Mattoni, and McLevey 2020

simulation_science_disinformation

A simulation model of the production of scientific knowledge and the spread of true and false beliefs about science through a population.

social-media-web-based-research