lobbyTO

Registration SM33930 · consultant

Metropia

Status: closed1 December 2022 to 24 September 2024Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
2
Published links only

Who

Client
Metropia
Consultant firm
Brown Dryer Gold Smuskowitz
Registrant
Adam Brown
Type
consultant
Status
closed
Dates
Approved 30 November 2022; 1 December 2022 to 24 September 2024

Subject matter

  • Planning and Development Application
  • Planning and Development Application, Zoning By-law

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

Particulars

219-255 Dundas Street East and 48-50 Pembroke Street

Addresses named: 219-255 Dundas Street East (Ward 13); 48-50 Pembroke Street (Ward 13)

Automated summary of the registration text

Registered, communicating about 219-255 Dundas Street East and 48-50 Pembroke Street

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

Lobbyists

Organisations named

Communications

Communications per month

2022-12 to 2022-12

1 communication

How and with whom

By method · 1 meeting

By office holder

Most-contacted offices

Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Chris MoiseMember of council1112 December 2022
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
12 December 2022Ward 13 Toronto CentreChris Moise
Member of council
Chris MoiseMeeting—

"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

No published links to agenda items.

Linked development applications

These links are inferred by lobbyTO from file numbers and addresses named in the registration (task L2); the registry does not record which application 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