CANADA CENTRAL

Understand Government
Without The Politics

Objective transparency into Canada's government.
Free of bias.

Explore MPsLabel Data
Canada Central

Understand Government
Without The Politics

Objective transparency into Canada's government.
Free of bias.

Explore MPsLabel Data

Why Canada Central Exists

The Canadian Government generates vast amounts of data through debates, committees, bills, and parliamentary proceedings. While this information is public, it is very challenging for citizens to form a comprehensive picture.

5,136,963Parliamentary speeches analyzed
4,556MPs Tracked
242Bills
14Sessions

Our mission is to transform this data into objective metrics that help Canadians make good decisions based on evidence and how their elected representatives participate in governance.

Our Principles

Data-Informed

We believe that good decisions are well-informed. Our platform empowers Canadians with the tools they need to objectively understand parliamentary proceedings.

Open Access

We believe that transparency leads to accountability. Our platform democratizes evidence-based studies for Canadians without gate keeping.

Non-Partisan

We believe that knowledge should be obtained free of ideology. Our platform monitors government broadly and provides information without political influence.

Get Involved

MP Participation

Study Your Representatives

Explore how Members of Parliament participate in governance. Our analysis tracks how actively your representative engages in House debates and committee work, comparing substantative dicussions against seniority and experience metrics. Discover who's speaking up and who's staying silent.

Explore MPs
MP Smith (CPC): 380 speeches
LPC
CPC
NDP
BQ
GPC
Help Build the Dataset

Train Our Accountability Model

Contribute to our research by helping classify parliamentary Q&A exchanges. We're building a classifier to detect when politicians give substantive answers versus deflecting. By labeling real exchanges from Hansard Question Periods and Committee Hearings, you help train a model that holds representatives accountable.

Label Data
Hansard875 Labels
Q
A
Substantive
Non-response