Source recordFED

McMaster University

Federal grants & contributions· Innovation for Defence Excellence and Security· National Defence· FY2020· $1,479,441· BN 119035988RN· ON

Description

This Micro-net aims to identify, assess, and quantify underlying sources of modelling uncertainty in Autonomous Medical Advisory Systems (AMAS) for building trust in Joint Cognitive System (JCSs).

Amendment chain · 1 entry

Each notch is one published row for this agreement: #0 is the original (placed at its start date) and each later notch is an amendment (placed at its amendment date). The height is the agreement's total value as of that row — the source column is cumulative, not a change amount — so the line reads as the commitment over time and the right-most notch is the current commitment shown in the header.

$1,479,441$0Original · 2019-10-18 (start date) · total $1,479,441
  • #02019-10-18$1,479,441
RowDateTotal value as of rowChange vs previousDescription on this row
#0 original2019-10-18(start date)$1,479,441—This Micro-net aims to identify, assess, and quantify underlying sources of modelling uncertainty in Autonomou…

Related records · 5

Records are related by an explicit link in the data, stated for each group below — never by text similarity. Values are each agreement's current commitment (latest amendment).

Other recipients funded under "Innovation for Defence Excellence and Security" by National Defence | Défense nationale (most recent first)

RefRecipientFiscal yearCurrent valueFY
032-2019-2020-Q3-CFPMN2-030Concordia UniversityFY2020$1,498,394FY2020
032-2019-2020-Q3-CFPMN2-059The Governors of the University of CalgaryFY2020$1,496,021FY2020
032-2019-2020-Q3-CFPMN2-027York UniversityFY2020$1,480,884FY2020
032-2019-2020-Q3-CFPMN2-051York UniversityFY2020$1,499,578FY2020
032-2019-2020-Q3-CFPMN2-037The Royal Institution for the advancement of Learning / McGill UniversityFY2020$1,499,577FY2020

Cite as: Glassbox record view · Federal grants & contributions · 032-2019-2020-Q3-CFPMN2-017 · retrieved 2026-11-12.