Abstract: Methods, systems, and computer program products for adjusting machine learning models based on simulated fairness impact are provided herein. A computer-implemented method includes obtaining, by a central simulation system, policies to be used for performing a simulation involving machine learning models, implemented on different systems, interacting with a target population; providing information for configuring simulators on the different systems, each simulator representing at least the machine learning model of a given one of the different systems; performing iterations of the simulation for the policies, wherein, for each iteration, the central simulation system: predicts a state of the target population, provides the state to the simulators, and collects metrics based on results of the simulators; and selecting and sending one of the policies to at least one of the different systems based on the collected metrics.

Abstract: A computer system provides biometric-based distress detection and assistance. Biometric information that is associated with an entity and audio data associated with an environment of the entity are received. A distress score is calculated based on the biometric information. The audio data is analyzed to identify one or more distress factors. In response to determining that the distress score exceeds a distress threshold and in response to identifying the one or more distress factors, a notification that the entity requires aid is transmitted to a third party. Embodiments of the present invention further include a method and program product for providing biometric-based distress detection and assistance in substantially the same manner described above.

Abstract: A computer-implemented method selectively controls locks on a self-driving vehicle. One or more processors receive sensor readings from sensors on a self-driving vehicle (SDV) that describe a vehicle context assessment of the SDV and a passenger context assessment of a passenger in the SDV. One or more processors transmit a signal to a lock controller mechanism on the SDV to selectively lock and unlock a lock in the SDV based on the vehicle context assessment and the passenger context assessment.

Abstract: A method generates and implements a real-time amelioration action for ameliorating an imminent collision between a self-driving vehicle (SDV) and an object. One or more processors detect that an imminent collision by a self-driving vehicle (SDV) is imminent with a confidence C1, and determine whether the SDV has an occupant of occupant type P with a confidence C2. One or more processors identify an object with which the imminent collision by the SDV is imminent with a confidence C3, and then generate and implement, based on C1, C2, C3, and P, a real-time amelioration action for ameliorating the imminent collision between the SDV and the object.

Abstract: A computer-implemented method selectively controls locks on a self-driving vehicle. One or more processors receive sensor readings from sensors on a self-driving vehicle (SDV) that describe a vehicle context assessment of the SDV and a passenger context assessment of a passenger in the SDV. One or more processors transmit a signal to a lock controller mechanism on the SDV to selectively lock and unlock a lock in the SDV based on the vehicle context assessment and the passenger context assessment.

Abstract: A method generates and implements a real-time amelioration action for ameliorating an imminent collision between a self-driving vehicle (SDV) and an object. One or more processors detect that an imminent collision by a self-driving vehicle (SDV) is imminent with a confidence C1, and determine whether the SDV has an occupant of occupant type P with a confidence C2. One or more processors identify an object with which the imminent collision by the SDV is imminent with a confidence C3, and then generate and implement, based on C1, C2, C3, and P, a real-time amelioration action for ameliorating the imminent collision between the SDV and the object.

Abstract: Providing an open data marketplace may include identifying one or more data attributes from a plurality of applications registered with a shared data management system; mapping said one or more data attributes to a data model to create a first set of mapped data; augmenting said first set of mapped data with additional data imported into the shared data management system from other data locations to create an augmented set of mapped data; receiving one or more of second set of mapped data from one or more shared data management system associated respectively with one or more shared data management networks; enabling of composing a data set by combining and cleansing one or more of said first set of mapped data, said second set of mapped data, and said augmented set of mapped data; and offering said composed data set in a digital marketplace with associated pricing characteristics.

Abstract: A method for generating event profiles comprises receiving source data in a processor, extracting an attire property from the source data, extracting an event attribute from the source data, associating the attire property with the event attribute, generating an event profile that includes the associated attire property and the event attribute, and saving the event profile in a memory.

Abstract: Coordinating data sharing among applications in mobile devices, in one aspect, may include a shared data manager application on a mobile device that manages data trade requirements automatically of a plurality of mobile applications, and permission grants or denials to reads and writes of data managed by the shared data manager and used by the plurality of mobile applications.

Abstract: Coordinating data sharing among applications in mobile devices, in one aspect, may include a shared data manager application on a mobile device that manages data trade requirements of a plurality of mobile applications, and permission grants or denials to reads and writes of data managed by the shared data manager and used by the plurality of mobile applications.

Abstract: Shared data management in software-as-a-service platform may provide a common object data schema for one or more data objects and one or more data attributes associated with said one or more data objects stored in a master database. A plurality of applications may be enabled to be deployed dynamically on a platform and interoperate by sharing said data values stored in the master database. Data trading is enabled in which applications request permissions to read from or write to, or both, the master database, and in which the requests are mediated by granting or denying permissions.

Abstract: Dynamic application adaptation in software-as-a-service platform, in one aspect, may receive an access permission associated with a published shared data management data object in the software-as-a-service platform having shared data management and a plurality of applications deployed, look up one or more rules associated with one or more features of an application deployed on the software-as-a-service platform, based on the received access permission, and activate or deactivate said one or more features associated with said plurality of applications based on said one or more rules.

Abstract: Federating multiple-level master data management systems may include a first set of master data management nodes having one or more common characteristics. A first group master data management node may be assigned to centrally manage the first set of master data management nodes, the first group master data management node maintaining master data management functionalities at a group level and providing a single logical view of master data to the first set of master data management nodes. Each master data management node in the first set has data access link with the first group master data management node based on implementation style of said each master data management node.

Abstract: Coordinating data sharing among applications in mobile devices, in one aspect, may include a shared data manager application on a mobile device that manages data trade requirements automatically of a plurality of mobile applications, and permission grants or denials to reads and writes of data managed by the shared data manager and used by the plurality of mobile applications.

Abstract: Coordinating data sharing among applications in mobile devices, in one aspect, may include a shared data manager application on a mobile device that manages data trade requirements of a plurality of mobile applications, and permission grants or denials to reads and writes of data managed by the shared data manager and used by the plurality of mobile applications.

Abstract: Managing data stewardship in multi-level MDM systems may include a steward data composer that creates data steward repository for a master data management system to define relationships between data stewards and data objects for which data stewards are responsible and steward data consolidator that creates an integrated data steward repository by combining multiple data steward repositories.

Abstract: Enforcing data sharing policy through shared data management, in one aspect, may include extracting data access rights from the one or more data policies based on a user role, data purpose, an object set and a constraint identification; extracting a data domain from the one or more data policies based on the data purpose and the object set; associating the data access rights and the data domain with data attributes of the shared data; automatically responding to application-based offers and requests for the shared data within a Software-as-a-Service platform based on the data access rights.

Abstract: One or more embodiments manage emergency response services. An emergency event is determined to have occurred. A set of civilian responders currently available to respond to the emergency event is selected from a plurality of civilian responders in response to determining that the emergency event has occurred. Each civilian responder in the set of civilian responders is associated with at least one wireless communication device. The set of civilian responders is notified that the emergency event has occurred. A set of emergency event information associated with the emergency event is transmitted to at least one wireless communication device associated with each civilian responder in the set of civilian responders.

Abstract: Federating master data management systems may include a network-aware adapter configured with a host master data management node. The network-aware adapter may establish one or more links with other master data management systems to allow the system to work together and leverage each other's data.

Abstract: Enforcing data sharing policy through shared data management, in one aspect, may include extracting data access rights from the one or more data policies based on a user role, data purpose, an object set and a constraint identification; extracting a data domain from the one or more data policies based on the data purpose and the object set; associating the data access rights and the data domain with data attributes of the shared data; automatically responding to application-based offers and requests for the shared data within a Software-as-a-Service platform based on the data access rights.