State Farm Mutual Automobile Insurance Company (20240303748). SYSTEMS AND METHODS FOR DETERMINING AN EVENT AND RESULTING DAMAGE USING CROWDSOURCED DATA simplified abstract

SYSTEMS AND METHODS FOR DETERMINING AN EVENT AND RESULTING DAMAGE USING CROWDSOURCED DATA

Organization Name

State Farm Mutual Automobile Insurance Company

Inventor(s)

Rick Lovings of Normal IL (US)

Jody A. Thoele of Bloomington IL (US)

Erik Skyten of Harriman TN (US)

Joann C. Yant of Bloomington IL (US)

Joshua Sutter of Bloomington IL (US)

Miguel A. Garcia-peguero of Goodyear AZ (US)

Shawn R. Harbaugh of Normal IL (US)

Tishauna Wilson of Tampa FL (US)

SYSTEMS AND METHODS FOR DETERMINING AN EVENT AND RESULTING DAMAGE USING CROWDSOURCED DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240303748 titled 'SYSTEMS AND METHODS FOR DETERMINING AN EVENT AND RESULTING DAMAGE USING CROWDSOURCED DATA

Simplified Explanation

The patent application describes systems and methods for determining an event and resulting damage using crowdsourced data. It involves receiving hazard event data, retrieving supplemental hazard event data, applying the data to a model, determining a recommendation, and transmitting a message.

• Uses crowdsourced data to assess hazard events and their impact
• Utilizes a computer-implemented method to process data
• Generates recommendations based on model outputs
• Transmits messages based on the determined recommendations

Key Features and Innovation

• Incorporates crowdsourced, donated, and public data to assess hazard events
• Utilizes a trained event assessment model to generate recommendations
• Enhances decision-making processes related to hazard events and resulting damage

Potential Applications

The technology can be applied in various fields such as disaster management, insurance claims processing, and risk assessment for businesses and communities.

Problems Solved

• Improves the accuracy and efficiency of determining hazard events and their impact
• Enhances the decision-making process for responding to hazard events
• Facilitates communication and coordination in emergency situations

Benefits

• Faster and more accurate assessment of hazard events
• Improved response and mitigation strategies
• Enhanced collaboration and communication among stakeholders

Commercial Applications

The technology can be utilized by insurance companies, emergency response agencies, and businesses to streamline processes related to hazard event assessment and response.

Prior Art

Readers can explore prior art related to hazard event assessment, crowdsourced data analysis, and decision-making models in disaster management and risk assessment fields.

Frequently Updated Research

Stay informed about the latest advancements in crowdsourced data analysis, hazard event assessment, and decision-making models in disaster management by following relevant research publications and conferences.

Questions about Hazard Event Assessment using Crowdsourced Data

1. How does the technology improve the accuracy of hazard event assessment? 2. What are the potential challenges in implementing crowdsourced data analysis for hazard event assessment?

Original Abstract Submitted

systems and methods for determining an event and resulting damage using crowdsourced data are disclosed. a computer-implemented method in accordance with the present disclosure may comprise (i) receiving hazard event data; (ii) retrieving supplemental hazard event data (e.g., crowdsourced, donated, and/or public text data, image data, video data, and/or audio data) associated with the hazard event; (iii) applying the supplemental hazard event data to the trained event assessment model to generate model outputs; (iv) determining a recommendation based upon model outputs; and (v) transmitting a message.