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  • Welcome to QuantLab
  • Schedule 2026
  • Schedule 2025
  • Schedule 2024

Welcome to QuantLab

QuantLab is a network bringing together social scientists at the University of Melbourne and beyond to share insights in quantitative methods and research.

Co-founded by Seraphine F. Maerz (Political Science) and Irma Mooi-Reci (Sociology), QuantLab is an inclusive network that welcomes everyone — from students to established researchers — interested in learning about quantitative methods and computational techniques.

We offer hands-on seminars where you can learn cutting-edge methods, free online tutorials with step-by-step guides on data management and reproducible research, and a code repository with ready-to-use scripts in R, Stata, and Python (work in progress). Most importantly, we provide a space to connect with fellow students and researchers, share ideas as well as knowledge, and collaborate.

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Schedule 2026

Our 2026 series focuses on AI for Social Sciences. We meet on the last Monday of each month, 12:00–13:00, at the Old Arts Atrium Meeting Room. Some of our events are kindly sponsored by the Melbourne Institute with lunch provided. Please RSVP to secure your spot.

Date Topic Presenter
31/03/26 Analysing Qualitative Data with Large Language Models (LLMs): From small, exploratory coding to large-scale yet in-depth qualitative analysis, with replicable workflows Dr. Seraphine F. Maerz, SSPS
28/04/26 Upgrading Policy / Documentation Analysis with AI: Learn how to extract and process information from large policy databases efficiently using AI Dr. Jan Kabatek, Melbourne Institute
26/05/26 Prototyping and Co-design with AI: Learn the process of fast-iterations and co-design with AI as a moment of data collection Dr. Fabio Mattioli, SSPS
Semester Break
28/07/26 Upgrading Your Research Workflows with AI: Learn how to Extract-Transform-Load (ETL) large qualitative data using AI for improved efficiency and effectiveness MDAP (TBC)
25/08/26 Synthetic Data for Social Science Research: Learn what synthetic data is, how closely they can represent the ‘true’ data and understand the ethical considerations Prof. Irma Mooi-Reci, SSPS
29/09/26 Creating Your Own Chatbot: Learn how to set up your own Retrieve-Augment-Generate (RAG) Pipelines Taylor Ey, Melbourne Institute
27/10/26 Forecasting with AI: Learn how to use AI for forecasting social and political phenomena, understand the differences between traditional forecasting methods and AI-based approaches MDAP (TBC)

Schedule 2025

We meet in Linkway, 4th floor John Medley Building.

Date Time Topic Presenter
03/02/25 14:00-15:00 Intro to Causal Inference and Treatment Effects Dr. Chuck Huber, StataCorp LLC
11/02/25 03:00-09:00 Using AI for Text Analysis: An Introduction (online) Dr. Seraphine F. Maerz
18/02/25 10:00-16:00 Using AI for Text Analysis: Advanced Applications (online) Dr. Seraphine F. Maerz
03/03/25 12:00-13:00 Introduction to Version Control with Git Prof. Michael Zyphur, Dr. Mar Quiroga
20/03/25 09:30-12:30 Partner Event: Get Started with R MDAP
31/03/25 12:00-13:00 Regression Discontinuity Design Dr. Amrita Mitra
14/04/25 12:00-13:00 Shut Up and Git Dr. Tomasz Woźniak
12/05/25 12:00-13:00 Quantitative Text Analysis for Social Sciences Dr. Maxim Ananyev
26/05/25 12:00-13:00 Python for Social Science Research Dr. Daniel Russo-Batterham
28/07/25 12:00-13:00 Structural Modelling Using R (bsvars & bsvarSIGNs) Dr. Tomasz Woźniak
11/08/25 12:00-13:00 Building Your Own RAG Pipeline from Scratch! Taylor Ey

Schedule 2024

We met in Arts West Research Lounge. Lunch was kindly sponsored by the School of Social and Political Science.

Date Time Topic Presenter
05/08/24 11:30-13:00 Launch of QuantLab Intro to R and Quarto Seraphine F. Maerz, Irma Mooi-Reci
26/08/24 12:00-13:00 Using Stata for Panel Data Irma Mooi-Reci
09/09/24 12:00-13:00 Spatial Econometrics: An Introduction Ed Goldring
10/09/24 10:00-11:30 Introduction to Computational Social Science (online, Social Science Week) Jason Thompson, MCDS
07/10/24 10:00-16:00 Quarto in RStudio (online) Seraphine F. Maerz
14/10/24 12:00-13:00 Quantitative Text Analysis in R Seraphine F. Maerz
28/10/24 12:00-13:00 Structural Equation Modeling (SEM) in Stata Harry Ganzeboom
26/11/24 10:00-16:00 Using AI for Text Analysis in R (online) Seraphine F. Maerz

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