

PATRON
PATRON
PATRON
The Political Accountability, Transparency, and Representation Oversight Network
The Political Accountability, Transparency, and Representation Oversight Network
The Political Accountability, Transparency, and Representation Oversight Network
PATRON-ROTIP is an interdisciplinary research program that uses computational methods and tools to analyze Canadian governance, while partnering with civic non-profits and training students through experiential learning pipelines.
PATRON-ROTIP is an interdisciplinary research program that uses computational methods and tools to analyze Canadian governance, while partnering with civic non-profits and training students through experiential learning pipelines.
PATRON-ROTIP is an interdisciplinary research program that uses computational methods and tools to analyze Canadian governance, while partnering with civic non-profits and training students through experiential learning pipelines.
RESEARCH AT A GLANCE
Research areas
Research areas
Interdisciplinary approaches to Canadian governance
Funding Projects
Funding Projects
Research projects advancing the study of Canadian governance
Research Network Members
Research Network Members
A collaborative community advancing interdisciplinary research

Political Accountability & Oversight
How legislatures, officers of Parliament, and oversight bodies scrutinize executive power, including provincial interventions in local governance.

Political Accountability & Oversight
How legislatures, officers of Parliament, and oversight bodies scrutinize executive power, including provincial interventions in local governance.

Computational & Open-data Approaches to Accountability
New datasets, tools, and text-as-data methods applied to legislative records, government disclosures, or public data, released openly.

Computational & Open-data Approaches to Accountability
New datasets, tools, and text-as-data methods applied to legislative records, government disclosures, or public data, released openly.

Representation & Electoral Integrity
Examining factors that influence democratic participation (such as voting systems, incidences of misinformation, voter engagement or polarization), and the role of information in sustaining democratic participation.

Representation & Electoral Integrity
Examining factors that influence democratic participation (such as voting systems, incidences of misinformation, voter engagement or polarization), and the role of information in sustaining democratic participation.

Transparency & Political Finance
Disclosure, lobbying, and campaign and party finance at the federal, provincial, and municipal levels.

Transparency & Political Finance
Disclosure, lobbying, and campaign and party finance at the federal, provincial, and municipal levels.
Our Latest Projects
Our Latest Projects
Our Latest Projects

MaRiPoSa
Electoral District Boundary Effects in Canada
Electoral redistricting in single-member plurality systems requires drawing boundaries that satisfy competing legal, geographic, and demographic constraints. We introduce the fractionalized rasterization process, and the Markov Riding Position Sampler (MaRiPoSa).
Read Now →

Redistricting
Boundary Responsiveness Across Five Federal Elections
We extend the MaRiPoSa project to five federal elections from 2011–2025 and report, for each party, the range of seat outcomes reachable under boundaries that satisfy population and continguity rules, with every ballot held where it is cast.
Read Now →

Deep Learning
Satellite Imagery, Deep Learning, and Canadian Environmental Governance
Large-scale development projects in Canada have transformed landscapes in ways that often escape public view—systematically shielded from visibility.
Read Now →

Hansard
Benevolent Dehumanization: Disability Discourse in Canadian Parliament
How do elected representatives talk about people with disabilities? To answer this, we analyze a census of Hansard speeches from 1982-2026.
Read Now →

Silicon Sampling
What Happens When AI Simulates the Canadian Electorate?
Falling response rates in survey research have prompted a recent proposal that AI language models can stand in for human respondents—"silicon sampling".
Read Now →

MaRiPoSa
Electoral District Boundary Effects in Canada
Electoral redistricting in single-member plurality systems requires drawing boundaries that satisfy competing legal, geographic, and demographic constraints. We introduce the fractionalized rasterization process, and the Markov Riding Position Sampler (MaRiPoSa).
Read Now →

Redistricting
Boundary Responsiveness Across Five Federal Elections
We extend the MaRiPoSa project to five federal elections from 2011–2025 and report, for each party, the range of seat outcomes reachable under boundaries that satisfy population and continguity rules, with every ballot held where it is cast.
Read Now →

Deep Learning

Deep Learning
Satellite Imagery, Deep Learning, and Canadian Environmental Governance
Large-scale development projects in Canada have transformed landscapes in ways that often escape public view—systematically shielded from visibility.
Read Now →

Hansard
Benevolent Dehumanization: Disability Discourse in Canadian Parliament
How do elected representatives talk about people with disabilities? To answer this, we analyze a census of Hansard speeches from 1982-2026.
Read Now →

Silicon Sampling
What Happens When AI
Simulates the Canadian Electorate?
Falling response rates in survey research have prompted a recent proposal that AI language models can stand in for human respondents—"silicon sampling".
Read Now →
Contact Us
Contact Us
Contact Us
Whether you have questions about our research, want to explore collaboration opportunities, or are interested in our work, the PATRON lab team is happy to hear from you.
Whether you have questions about our research, want to explore collaboration opportunities, or are interested in our work, the PATRON lab team is happy to hear from you.
Whether you have questions about our research, want to explore collaboration opportunities, or are interested in our work, the PATRON lab team is happy to hear from you.
