Abstract: A dynamic Innovation Enablement System (IES) that utilizes a novel n-dimensional vector-based data management system, in combination with a novel user interface and novel expert system, to speed up the efficiency of computer processing and real-time user application of data for selecting user interventions that optimize outcomes within the IES. The IES is a computer-implemented system for facilitating users to develop, practice and apply competency in innovation-conducive behaviors and techniques. The system has a user system and coupled to the user system, a server system, a data store and an innovation enablement system (IES). IES has a first module that includes information to guide users through a first set of tasks directed to developing competencies in innovation. IES also has a second module that includes information to guide users through a second set of predetermined tasks, including at least two tasks that together form an innovation process that directs a user towards producing an innovation.

Abstract: A system and method assigns documents to a list of documents for a project team to complete based on the level of each of various risks the project is identified to have, and whether the benefits of risk containment afforded by each document outweighs the cost of completion of the document when the risk or risks addressed by the document are at the level identified for the project.

Abstract: Systems and methods for enhancing the security of an electronic database system. The system has a registry server hosting a registry database accessible by a registry user, and an authorization server hosting an authorization database. In operation, the registry server queries the authorization server to determine whether a particular record is locked. When a record is locked, an authorization service key is requested from the registry server and verified by the authorization server.

Abstract: Systems and methods for orchestrating a process are disclosed. In an implementation, a system is configured to extract process information associated with the process. Based on the process information, the system is configured to determine a current model of performing the process based on the process information. The system is further configured to retrieve regulatory information associated with the process, wherein the regulatory information is indicative of at least one of a predefined policy, a predefined rule, and a predefined regulation associated with the process. Further, the system is configured to update the current model based on at least one of the process information and the regulatory information for obtaining a predefined outcome of the process.

Abstract: Embodiments of a method and/or system can (e.g., for causing reporting of a happening; etc.) can include determining a happening parameter (e.g., a happening parameter indicative of a characteristic of the happening; etc.); presenting the happening parameter to a user; receiving a user input from the user; delivering, for capture of the happening (e.g., during a time period associated with occurrence of the happening, etc.), a reporter entity to a happening location associated with the happening (e.g., based on the user input; etc.); and/or presenting a media component, generated based on the capture of the happening, to the user S150.

Abstract: According to embodiments of the present invention, a system is provided that will evaluate a candidate's experience (e.g., curriculum vitae (CV), resume, application, etc.) in view of job description requirements, and based on this combined information, will automatically generate a customized interview including questions tailored to each candidate related to his or her experience as described on the application and in view of the job description requirements.

Abstract: A prediction system and method may include receiving a plurality of discrete applicant data inputs and a supporting document, the applicant data inputs and the supporting document being relevant to a permit application, providing a first predicted probability of approval of the permit application by comparing the discrete applicant data inputs with weighted criteria of previous applicant profiles stored in a first database, analyzing the supporting document to determine a second predicted probability of approval of the permit application by comparing the supporting document with previous applicant supporting documents stored in a second database, performing a sentiment analysis on external publically available information relevant to at least one aspect of the permit application to determine an impact score on the permit application, and determining an overall probability of success based on the first predicted probability, the second predicted probability, and the impact score.

Abstract: System, method, and a computer program product that generate a dynamic digital contract are provided. A category that is included in the digital contract is selected using a graphical user interface of an application executing on a client device. A template associated with the category is retrieved from memory storage. The template is also associated with a plurality of options that specify the layout of the digital contract, display text of the digital contract and receive additional input. Data associated with the template is retrieved. The digital contract is generated by incorporating the data into the plurality of options. The digital contract is then formatted using parameters of the client device. Once generated, the digital contract is displayed on the display screen of the client device.

Abstract: Embodiments are directed toward unified modeling of technology towers. Template information that corresponds to a technology tower may be selected by a user such that the template information identifies cost items, cost pools, and cost drivers. Cost information corresponding to the cost items may be determined from a dataset and mapped to the cost pools based on the template information. Cost driver information for the cost drivers may be determined from the information that was included in the dataset. A technology tower may be generated based on the cost pools and the cost drivers such that the cost pools and cost drivers correspond to the cost items. The technology tower may be provided to an application for generating one or more financial models. Key performance indicators for cost items may be generated based on the cost pools and the cost drivers.

Abstract: A computing system includes a processing device to execute instructions to: store a trained modeling function that embodies a correlation between historical ratings and historical evaluation results of recorded responses that were responsive to prompts presented to a set of persons; receive a request to initiate a digital evaluation process for a second person; receive recorded responses of the second person that are responsive to the prompts; generate, by applying the trained modeling function to the recorded responses of the second person, a reviewing sequence by which to view the recorded responses of the second person. The reviewing sequence orders the recorded responses from a most predictive prompt to a least predictive prompt to reduce a time required to efficiently determine an evaluation result. The system further transmits data that causes display of a list of the recorded responses of the second person in the reviewing sequence.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: Systems herein include a managed content application that can place markers for conversations within secure documents. A separate social application can serve as the platform for the conversations, allowing for efficient conversations that can occur in real time. The markers can be stored with the documents and identify the conversation, allowing users to retrieve historical conversations that occurred on the social application from within the document. This can allow users to quickly come up to speed without having to rehash the conversations with the original participants. Document security can also be maintained without sacrificing conversation efficiency of the social application.

Abstract: A method for providing training data for a machine learning model includes: monitoring a specific user as the specific user reads electronic documents on a display to determine indications of pauses in reading for greater than a specified period of time; correlating objects on each of the displayed plurality of electronic documents to the pauses in reading; identifying features for the machine learning model based on the objects and textual analysis of each of the plurality of electronic documents; presenting information related to each identified feature to the specific user; obtaining from the specific user a descriptor defining each of the identified features and a value for each of the identified features indicating a relative importance or applicability of each of the identified features; and associating obtained descriptors and values with each of the identified features.

Abstract: In one example, a data package created by a particular wireless mobile device, and comprising metrics collected by the wireless mobile device, is retrieved. The metrics concern performance of the wireless mobile device in a wireless communication network, and are transformed into measures that enable derivation of a key performance indicator concerning the performance of the wireless mobile device. An enriched measure is generated by processing the measures based on correlations of wireless mobile device events in a time sequence, and the enriched measure is transformed into a KPI that is specific to the performance of the wireless mobile device. The KPI of the wireless mobile device is compared to a KPI of the population of wireless mobile devices, and results of the comparison of KPIs serve as a basis to resolve a problem regarding operation of the wireless mobile device.

Abstract: Techniques for predicting relevance of social networking service member accounts to a job posting. In an embodiment, a candidate predictor engine of a system encodes data representing an applicant quality (AQ) score for each job/applicant pair for a plurality of applicants to a job posting. Additionally, the system stores the encoded data and assigns member-level weights to each of the applicants. Moreover, the system calculates weighted AQ scores for each of the job/applicant pairs, the weighted AQ scores being products of respective AQ scores and member-level weights. Furthermore, the system sums the weighted AQ scores to derive a total weighted score for the job posting. Then, the candidate predictor engine generates a job-level probability of confirmed hire (pCH) based on the total weighted score, the job-level pCH indicating a likelihood of the posting being filled by an applicant. Also, the system transmits the job-level pCH to a client for display.

Abstract: A method and system for automating some aspects of a recruiting process, which may implement rules permitting the processes of sourcing candidates, setting up job interviews, and responding to candidate questions to all be automated with a computer. Such a system may match résumés and job descriptions with a scoring system, and may initiate communications between one or more candidates and a recruiter once an appropriate number of matches have been found. The system may then be configured to field responses to commonly asked questions from a question database, and notify the recruiter if a question is asked that it cannot answer, and may further be configured to proactively ask questions to the candidate if desired. This may allow recruiters to focus on the highest level of vetting, and on aspects of the recruitment process such as promoting the hiring company and salary negotiations.

Abstract: A method for collecting data using a smart device such as a cellphone is disclosed. The method is implemented in connection with a recommendation algorithm. In one step, the method determines the technical feasibility of collecting data for the smart device. The method also facilitates data collection when it is convenient for the user. This method optimizes data collection accuracy and technically enhances the smart device because it optimizes the timing of the data collection.

Abstract: A method and system for automating some aspects of a recruiting process, which may implement rules permitting the processes of sourcing candidates, setting up job interviews, and responding to candidate questions to all be automated with a computer. An automated system may specifically be used for conducting a conversation with a candidate over one or more communications channels, which may include pre-interview vetting of the candidate and clarification of aspects of the candidate's provided information, and may include conducting an interview or some aspects thereof. It may also be understood that an automated system may, in addition to conversing with the candidate, be used to provide feedback or additional opportunities to the candidate.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: An interface or platform to process and satisfy the citation requirements and accept payment. The submission and verification of documentary evidence to satisfy at least one outstanding citation using the camera sensors on a computing device.