This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Université Laval directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Designing Flood Insurance to Maximize Public Benefits in High-Risk Areas.
Risk analysis : an official publication of the Society for Risk Analysis · 2026 · first author
Latest funding
- $67,771
Leveraging analytics for evidence-informed decisions in higher education
SSHRC · 2026 · Co-investigator
- $270,000
Canadian flood risk-sharing models in the face of climate change
NSERC · 2020 · Co-investigator
- $39,826
The Ripple Effect of Natural Disasters on Organizations: A Firm-Level Analysis
SSHRC · 2019 · Principal investigator
1 publications.
Designing Flood Insurance to Maximize Public Benefits in High-Risk Areas.
Bourdeau-Brien M, Thistlethwaite J, Boudreault M, Morin G, Henstra D, Chenette J
Leveraging analytics for evidence-informed decisions in higher education
Principal investigators: Schomaker, Margaret
Canadian flood risk-sharing models in the face of climate change
Principal investigators: Boudreault, Mathieu M
Keywords: Actuarial science; Climate change; Financial risk management; Financial risk-sharing; Floods; Insurance
The Ripple Effect of Natural Disasters on Organizations: A Firm-Level Analysis
Principal investigators: Bourdeau-Brien, Michael
Keywords: (1) Natural disasters; (2) Risk aversion; (3) Investment decisions; (4) Manager behavior; (5) Empirical analysis; (6) Firm-level analysis; (7) Corporate Finance; (8) Event study
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Daniel Henstra and Jason Thistlethwaite: 6 shared papers
- Daniel Henstra and Michael Bourdeau-Brien: 1 shared paper
- Jason Thistlethwaite and Michael Bourdeau-Brien: 1 shared paper
- Urban Geography
- Other
Co-authors at Université Laval, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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