lobbyTO

Registration SM36177 · consultant

University of Toronto

Status: closed6 January 2025 to 11 August 2025Topic: Cycling, bike share and e-scootersSource datasetReport an error on this page
Communications
2
1 offices contacted
Lobbyists
1
Linked agenda items
1
Published links only
Linked applications
0
Published links only

Who

Client
University of Toronto
Consultant firm
Cassels Brock & Blackwell
Registrant
Signe Leisk
Type
consultant
Status
closed
Dates
Approved 9 December 2024; 6 January 2025 to 11 August 2025
Topic (lobbyTO)
Cycling, bike share and e-scooters (assigned by a decision model from the registration text)

Subject matter

  • Transportation - Cycling / Bicycle Lanes

Source: City of Toronto Lobbyist Registry (open data). Dataset page.

Particulars

University of Toronto Scarborough Campus Bike lane Workshop

Automated summary of the registration text

University of Toronto Scarborough Campus registered, communicating about Bike lane Workshop

Generated from the registration text only. Read the particulars for the registrant's own words.

Lobbyists

Organisations named

Communications

Communications per month

2025-01 to 2025-02

2 communications, most in 2025-01 (1)

How and with whom

By method · 2 meetings

By office holder

Most-contacted offices

Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Jennifer McKelvieMember of council226 February 2025
All communications· 2 rows
2 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
6 February 2025Ward 25 Scarborough-Rouge ParkJennifer McKelvie
Member of council
Jennifer McKelvieMeeting—
6 January 2025Ward 25 Scarborough-Rouge ParkJennifer McKelvie
Member of council
Jennifer McKelvieMeeting—

"Member's office" is the member of council whose office was contacted (the member or their staff), resolved from the office holder name and office recorded in the registry.

Linked agenda items

This link is inferred by lobbyTO; the registry does not record which agenda item a registration concerns.

Links between records are inferred by a model and are not reviewed by a person. Each link shows its score out of 1; moderate-confidence links (0.7 to 0.9) are wrong more often than high-confidence links. How links are scored

Linked development applications

No published links to development or Committee of Adjustment applications.