Lysa Porth, University of Guelph

Research

machine learning remote sensing index insurance predictive analytics

Latest funding

Machine Learning-Based Methods Using Satellite-Derived Remote Sensing Data for Risk Management and Insurance in the Presence of Systemic Weather Risk
SSHRC · 2019 · Principal investigator
$51,156
Machine Learning-Based Methods Using Satellite-Derived Remote Sensing Data for Risk Management and Insurance in the Presence of Systemic Weather Risk
SSHRC · 2019 · Principal investigator
$203,060
Sustainable agriculture risk modelling and developing satellite derived index insurance
NSERC · 2016 · Principal investigator
$294,712

All 4 grants and awards

Machine Learning-Based Methods Using Satellite-Derived Remote Sensing Data for Risk Management and Insurance in the Presence of Systemic Weather Risk

Principal investigatorSSHRC2019Insight Grants

Principal investigators: Porth, Lysa M.

Keywords: machine learning; remote sensing; index insurance; predictive analytics

$51,156

Machine Learning-Based Methods Using Satellite-Derived Remote Sensing Data for Risk Management and Insurance in the Presence of Systemic Weather Risk

Principal investigatorSSHRC2019Insight Grants

Principal investigators: Porth, Lysa M.

Keywords: machine learning; remote sensing; index insurance; predictive analytics

$203,060

Sustainable agriculture risk modelling and developing satellite derived index insurance

Principal investigatorNSERC2016Collaborative Research and Development Grants

Principal investigators: Porth, Lysa

$294,712

Reducing basis risk for agricultural index-based insurance in Canada

Principal investigatorSSHRC2015Insight Grants

Principal investigators: Porth, Lysa M.

Keywords: index-based insurance; agricultural economics; risk management and insurance; fair value insurance pricing; insurance underwriting; basis risk; weather modelling; dependency modelling; forage insurance; risk aversion; insurance demand

$182,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Mention their SSHRC grant from 2019

Subject: Prospective PhD student: machine learning Dear Professor Porth, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on machine learning connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your SSHRC-funded project "Machine Learning-Based Methods Using Satellite-Derived Remote Sensing Data for Risk Management and Insurance in the Presence of Systemic Weather Risk" (2019), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]