Posts Tagged ‘Risk Prediction Initiative’
The Science of Shark Oil Barometers
This summer, BIOS scientist Mark Guishard and college intern Shane Antonition (pictured above) paired up to begin looking at the mysterious little bottles through a scientific lens to find out just how useful these oil-filled tools are at forecasting storms
Read MoreHurricane Risk Research to Focus on Bermuda
Risk Prediction Initiative (RPI) Member companies and local sponsors have agreed to fund a project to reconstruct a pre-historical record of hurricanes in Bermuda, using information gained from examinations of sediments deposited by hurricane storm surges and waves in two island water bodies, Spittal Pond and Mangrove Lake
Read MoreMonster Hurricanes Reached U.S. During Prehistoric Periods of Ocean Warming
Research on coastal sediments, funded in part by BIOS’s Risk Prediction Initiative, shows that prehistoric hurricanes along the northern East Coast of the United States were likely more frequent and intense than those that have hit within recorded history
Read MoreGeneva Association Issues New Report on Ocean Warming and its Implications for the Insurance Industry
by: The Geneva Association
The Risk Prediction Initiative at BIOS leads science behind new report from The Geneva Association on (re)insurance, risk, & climate change
Familiar Face at Bermuda Weather Service Joins RPI2.0
Adding to its already-distinguished staff, the Risk Prediction Initiative (RPI2.0) recently welcomed Dr. Mark Guishard as its new Science Program Manager
Read MoreHurricane Landfall Forecasting Competition
Source: Bernews
RPI2.0 announced its third round of Seasonal US Hurricane Landfall Forecasting competition, citing the potential predictive skill of ‘crowd-intelligence’
RPI2.0 Announces Round 2 of its 2013 Seasonal Forecast Competition
In a nod to the value of crowdsourcing as an effective forecasting method RPI2.0 announces round 2 of its seasonal forecast competition, in which participants can win $1,250 by submitting forecasts by March 1
Read MoreRPI2.0 Announces Crowdsourcing Experiment; Seasonal Forecast Competition
Source: Bernews
HAMILTON, Bermuda, Nov. 20, 2012 / Market Watch: In a nod to the value of crowdsourcing as an effective forecasting method, the RPI2.0 announces the start of its seasonal forecast competition, in which participants can win up to $5000
Hurricane Wind Speed Can Predict Economic Losses
Using more than a century of data, Rick Murnane, Risk Prediction Institute (RPI) Project Manager and Senior Research Scientist at BIOS, and his co-author uncovered a simple—but surprisingly robust—method of estimating losses
Read More(Re)Insurance Companies Use RPI2.0 Workshop Proceedings as Industry Reference
In March of this year, the newly christened Risk Prediction Initiative (RPI) 2.0 hosted a workshop on the medium-term outlook for the frequency of hurricane landfalls in the RMS v11.0 risk model. According to this model, the computed risk for hurricanes over the medium-term (next 5 years) increased more than 100% in some regions, which forces insurance companies to hold more capital
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