Monitoring and controlling continuous stochastic processes based on events in time series data

A tangible, non-transitory, machine-readable medium storing instructions that when executed by one or more processors effectuate operations comprising:

• obtaining, with a computer system, one or more out of a plurality of datasets having a plurality of interaction-event records, wherein:
• the interaction-event records describe respective interaction events,
• the interaction-events are interactions in which a first entity has experiences or obtains other information pertaining to second entity, and
• at least some of the interaction-event records are associated with respective risks by which sequences of at least some of the interaction events relative to one another are ascertainable;
• determining, with a continuous stochastic process controller executed by multiple computing devices of the computer system, based on at least some of the interaction-event records, sets of event-risk scores, the sets corresponding to at least some of the interaction events, wherein:
• at least some respective event-risk scores are indicative of an effective of a respective risk ascribed by the first entity to a respective aspect of the second entity;
• and
• at least some respective event-risk scores are based on both:
• respective contributions of respective corresponding events to a subsequent event in the one or more out of the plurality of datasets, and
• a risk ascribed to a subsequent event in the one or more out of the plurality of datasets, the subsequent event occurring after the respective corresponding events;
• and
• storing, with the computer system, the sets of event-risk scores in memory.