Ivan Maddox

Ivan Maddox is a Geomatics Engineer (University of Calgary, ’96), who has performed surveying and remote sensing projects all over the world. Before settling in Denver, he lived in Lyon, London, Montréal and Brisbane. He is the Product Manager for InsitePro at Intermap, and is the Executive Vice President for commercial solutions. When not leveraging data, Ivan enjoys leveraging the mountains, books, all things culinary, and playing with his kids.
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Recent Posts

NAPSLO and Profitable Underwriting

Posted by Ivan Maddox on Sep 15, 2015 9:07:32 AM

The annual conference for the National Association of Professional Surplus Lines Offices (NAPSLO) was last week in San Diego, and Intermap’s Catherine Stinson was there. It was our first trip to NAPSLO, and it was exciting to hear from Catherine that the concerns we address with location-based analytics for underwriting are concerns of conference attendees. She caught up with several attendees, in what was a very busy couple days for all. In fact, it sounds like intense business discussions went late into the night for some.

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Topics: Insurance Underwriting, Private Flood

Underwriting with a Pen vs. a Paint Roller

Posted by Ivan Maddox on Sep 9, 2015 10:37:14 AM

The Associated Press recently ran a story on new research that tries to ascertain the return period (or annual likelihood) of the 2013 Colorado floods. Here is a reminder from the Denver Post of what the flood was like; since it was over two years ago (it seems like yesterday!).

As any decent summary should, let’s start with the conclusion of the research: “…the best way to characterize this storm is a very unusually widespread 100-year event with some small pockets of a 500-year event thrown in there.”

A very unusually widespread event? A 100-year event, except where it was a 500-year event?

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Topics: Floods, Insurance Underwriting, Private Flood, Risk Scoring

Nepal or California: Who Has More Earthquake Coverage?

Posted by Ivan Maddox on Sep 3, 2015 2:24:15 PM

Recently, I’ve explored in this blog the potential earthquakes in the New Madrid and Cascadia seismic zones. (By the way…little rumblings in New Madrid this week.) One of the main points of those blog posts was how underinsured the property is in those regions, where the seismic risk is possibly underappreciated. Let’s take a look at California, where everyone knows a big earthquake is going to happen; including the USGS, which suggests California has more than a 99% chance of having a magnitude 6.7 or larger earthquake within the next 30 years.

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Topics: Property Insurance, Earthquake

How Did Those Hurricanes Work Out?

Posted by Ivan Maddox on Sep 2, 2015 10:46:00 AM

Last week I compared hurricane history with the current (at the time) forecast. There were a few storms of potential interest, including Erika and Ignacio. Well, here’s what really happened:

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Topics: Insurance Underwriting, Hurricane

Flood Models are Biased, Because They are Models. But that's OK!

Posted by Ivan Maddox on Sep 1, 2015 10:44:00 AM

With the release of FloodScope , our risk assessment software, InsitePro , now comes with two flood models that users can use for evaluating USA flood. Having multiple flood models is useful for creating flood risk scoring analytics because it allows the scoring to consider more than one view of the risk, and to leverage a correlation analysis to account for the uncertainty aspect of a location’s risk; e.g., if two models agree, uncertainty goes down. Working with these two flood models also presents an opportunity to explore an aspect of flood models not frequently discussed in flood modeling literature: the bias. The two flood models that are available for all InsitePro users in the USA are FloodScope and WorldFlood , and they have demonstrably different biases.

What? Flood models are biased? 

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Topics: Flood Modeling, Flood Risk, Risk Models, Risk Scoring

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Welcome to The Risks of Hazard, brought to you by Intermap Technologies®. From the latest industry news and trends, to insight from thought leaders around the globe, stay tuned for a variety of content aimed at helping you better understand the role of location-based intelligence in the world of insurance underwriting and risk assessment.

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