Abstract: 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.

Abstract: A computer system may include at least one memory and at least one processor in communication with the at least one memory. The processor may be programmed to: (1) receive photographic data including one or more images of a structure; (2) in response to receiving the photographic data, apply the photographic data to a structure assessment model configured to determine a structural status of the structure, wherein the structure assessment model is trained using historical photographic data including a plurality of historical images of structures; (3) receive an output from the structure assessment model, wherein the output at least one determined characteristic of the structure; and/or (4) based upon the output, transmit a message to a user computing device associated with the structure that causes display of the determined characteristic.

Abstract: A computer system may include at least one memory and at least one processor in communication with the at least one memory. The processor may be programmed to: (1) receive photographic data including one or more images of a structure; (2) in response to receiving the photographic data, apply the photographic data to a structure assessment model configured to determine a structural status of the structure, wherein the structure assessment model is trained using historical photographic data including a plurality of historical images of structures; (3) receive an output from the structure assessment model, wherein the output at least one determined characteristic of the structure; and/or (4) based upon the output, transmit a message to a user computing device associated with the structure that causes display of the determined characteristic.

Abstract: Systems and methods are described for performing analysis of parametric events. The method may include: (1) receiving weather data from a weather oracle network; (2) calculating, using a first trained machine learning algorithm, a likelihood of a trigger activation for a parametric event (or a trigger event) for a user based at least upon the weather data; (3) calculating, using a second trained machine learning algorithm, an estimated loss for the user based at least upon the likelihood of the trigger activation; (4) determining an initial coverage for the user; and (5) determining whether to offer the user updated coverage for the parametric event based at least upon a comparison of the initial coverage and the estimated loss for the user.

Abstract: Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle sensor data generated from sensors mounted on or within (a) one or more vehicles, or (b) electronic devices; (2) analyzing the vehicle sensor data to determine one or more parametric events, wherein each of the parametric events is associated with a corresponding severity of loss; (3) generating, for each of the one or more parametric events, a corresponding smart contract that is configured to (i) receive a transaction from a computing device, and (ii) automatically execute on the blockchain when the transaction indicates that a parametric event corresponding to the smart contract has occurred; and (4) deploying the smart contract at a particular address on the blockchain.

Abstract: Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle sensor data generated from sensors mounted on or within (a) one or more vehicles, or (b) electronic devices; (2) analyzing the vehicle sensor data to determine one or more parametric events, wherein each of the parametric events is associated with a corresponding severity of loss; (3) generating, for each of the one or more parametric events, a corresponding smart contract that is configured to (i) receive a transaction from a computing device, and (ii) automatically execute on the blockchain when the transaction indicates that a parametric event corresponding to the smart contract has occurred; and (4) deploying the smart contract at a particular address on the blockchain.

Abstract: Systems and methods are disclosed for generating one or more smart contracts for deployment onto a blockchain. The systems and methods may include (1) receiving vehicle sensor data generated from sensors mounted on or within (a) one or more vehicles, or (b) electronic devices; (2) analyzing the vehicle sensor data to determine one or more parametric events, wherein each of the parametric events is associated with a corresponding severity of loss; (3) generating, for each of the one or more parametric events, a corresponding smart contract that is configured to (i) receive a transaction from a computing device, and (ii) automatically execute on the blockchain when the transaction indicates that a parametric event corresponding to the smart contract has occurred; and (4) deploying the smart contract at a particular address on the blockchain.