QICSS Summer School on Research Reproducibility

Overview 

Research Reproducibility, a cornerstone of open science, ensures the validity of results by enabling verification and confirmation by other researchers. This enhances confidence in the transparency of discoveries, promotes collaboration, and strengthens the integrity of scientific knowledge within the community.

This training will provide an overview of issues related to research reproducibility and will propose the steps to follow to carry out a replicable project.  

• English training: Face-to-face training on May 14 and May 15 at QICSS (3535 Queen Mary, Montreal) 

• French training: Face-to-face training on May 21 and May 22 at QICSS (3535 Queen Mary, Montreal) 

• Number of participants per training limited to 15

Process 

The training takes place over one and a half days. It can be attended in French on May 14th (9 a.m. to 4 p.m.) and May 15th (9 a.m. to noon), or in English on May 21st (9 a.m. to 4 p.m.) and May 22nd (9 a.m. to noon).

Prerequisites 

Participants should have experience conducting empirical social science data analysis using statistical software, ideally in the research environment of one of the QICSS laboratories. Knowledge of at least one of Stata, Matlab, R, SPSS or SAS is required, as is knowledge of the Windows Desktop environment.

Registration fees 

• Students and postdoctoral fellows: $150 

• Professors or staff from a QICSS member institution: $300 

• Others: $450 

Bursaries to help cover travel costs for students from QICSS member institutions will be available. 

Trainers

Lars Vilhuber (Ph.D. 1999, University of Montreal) is an economist at Cornell University in the Department of Economics and the ILR School, the Data Editor for the American Economic Association journals, and executive editor of the Journal of Privacy and Confidentiality. His research focuses on labor market dynamics. Lars Vilhuber is an expert on replicability issues and consults to governments and statistical agencies in Canada, the United States and Europe.

Marie Connolly (Ph.D. 2007, Princeton University) is a professor in the Department of Economics at UQAM since 2009. Her research is mainly empirical in nature and focuses on various topics in labour economics, such as social mobility and human capital formation. Through her position as Data Editor of the Canadian Journal of Economics, she is interested in the issue of replicability of research. As of June 1, 2022, she is also Associate Dean of Research at the UQAM’s School of Management.

Sponsored by: QICSS and the Research Group on Human Capital (GRCH) from ESG UQAM.