Published Jun 28, 2021

Time Series at the Beach

Delve into cutting-edge strategies for predicting red tide events with Professor Shane Ross, as he unveils advanced modeling techniques that enhance public safety, discusses global applications, and introduces Virginia Tech's ambitious data science program.

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Topics covered

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Dexa/Kyle Polich

Time Series at the Beach

Topics covered

Popular Clips

Self-Exciting Processes

Beach Conditions Data

Modeling Dynamics

Red Tide Forecasting

Modeling Algae Irritation

Exciting Data Science Program

Beach Data Analysis

Modeling Red Tide Forecasting

Episode Highlights

Future Developments

Impact and Applications

Modeling Approaches

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Time Series at the Beach

Topics covered

Popular Clips

Episode Highlights

Future DevelopmentsShane Ross explores the use of self-exciting Hawks process models for predicting red tide events, achieving higher accuracy than traditional methods. He also discusses Virginia Tech's new data science program designed to engage undergraduates in practical problem-solving.

Future Developments

Impact and Applications

Modeling ApproachesShane Ross, Professor of Aerospace and Ocean Engineering, discusses innovative models for predicting respiratory irritation from Florida's red tide. He explores both wind-based and self-exciting models, highlighting their effectiveness and challenges in data collection.

Modeling Approaches

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