lobbyTO

Registration SM30365 · consultant

Thomas Tsui

Status: closed by lro1 March 2020 to 1 June 2022Source datasetReport an error on this page
Communications
2
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
2
Published links only

Who

Client
Thomas Tsui
Consultant firm
Mihevc Consulting and Mediation
Registrant
Joe Mihevc
Type
consultant
Status
closed by lro
Dates
Approved 22 July 2020; 1 March 2020 to 1 June 2022

Subject matter

  • Planning and Development Application

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

Particulars

Reated to a development application at 155 Wychwood Ave

Addresses named: 155 Wychwood Ave (Ward 12)

Automated summary of the registration text

Registered, communicating about a development application at 155 Wychwood Ave

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

Lobbyists

Organisations named

Communications

Communications per month

2020-06 to 2020-07

2 communications, most in 2020-06 (1)

How and with whom

By method · 0 meetings

By office holder

Most-contacted offices

  • Josh MatlowCouncillor staff2
Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Josh MatlowCouncillor staff2017 July 2020
All communications· 2 rows
2 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
17 July 2020Josh MatlowDenise McMullin
Councillor staff
—Email
E-mail
—
23 June 2020Josh MatlowDenise McMullin
Councillor staff
—Call
Telephone
—

"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